“Cerebrospinal fluid Aβ42 moderates the relationship between brain functional network dynamics and cognitive intraindividual variability” (2021) Neurobiology of Aging
Cerebrospinal fluid Aβ42 moderates the relationship between brain functional network dynamics and cognitive intraindividual variability
(2021) Neurobiology of Aging, 98, pp. 116-123.
Meeker, K.L.a b , Ances, B.M.b , Gordon, B.A.c , Rudolph, C.W.a , Luckett, P.b , Balota, D.A.d , Morris, J.C.b , Fagan, A.M.b , Benzinger, T.L.c , Waring, J.D.a
a Department of Psychology, Saint Louis University, St. Louis, MO, United States
b Department of Neurology, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States
c Department of Radiology, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States
d Department of Psychology, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States
Abstract
As Alzheimer’s disease (AD) pathology accumulates, resting-state functional connectivity (rs-fc) within and between brain networks decreases, and fluctuations in cognitive performance known as intraindividual variability (IIV) increase. Here, we assessed the relationship between IIV and anticorrelations in rs-fc between the default mode network (DMN)-dorsal attention network (DAN) in cognitively normal older adults and symptomatic AD participants. We also evaluated the relationship between cerebrospinal fluid (CSF) biomarkers of AD (amyloid-beta [Aβ42] and tau) and IIV-anticorrelation in rs-fc. We observed that cognitive IIV and anticorrelations between DMN × DAN were higher in individuals with AD compared with cognitively normal participants. As DMN × DAN relationship became more positive, cognitive IIV increased, indicating that stronger anticorrelations between networks support more consistent cognitive performance. Moderation analyses indicated that continuous CSF Aβ42, but not CSF total tau, moderated the relationship between cognitive IIV and DMN × DAN, collectively demonstrating that greater amyloid burden and alterations in functional network dynamics are associated with cognitive changes seen in AD. These findings are valuable, as they suggest that amyloid affects cognitive functioning during the early stages of AD. © 2020 Elsevier Inc.
Author Keywords
Alzheimer’s disease; Anticorrelation; Aβ42; Cognitive intraindividual variability; Functional networks
Funding details
Foundation for Barnes-Jewish Hospital
R01AG057680, R01NR014449, K01AG053474, P01AG00391, R01NR012657, P01AG005681, U19AG032438, R01AG052550, P01AG026276, R01NR012907
Hope Center for Neurological Disorders
UL1 TR000448
Document Type: Article
Publication Stage: Final
Source: Scopus
“Adolescent Brain Development and Psychopathology: Introduction to the Special Issue” (2021) Biological Psychiatry
Adolescent Brain Development and Psychopathology: Introduction to the Special Issue
(2021) Biological Psychiatry, 89 (2), pp. 93-95.
Leibenluft, E.a , Barch, D.M.b
a Section on Mood Dysregulation and Neuroscience, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, United States
b Departments of Psychological and Brain Sciences, Psychiatry, and Radiology, Washington University in St. Louis, St. Louis, MO, United States
Document Type: Note
Publication Stage: Final
Source: Scopus
“Psychostimulant use disorder emphasizing methamphetamine and the opioid -dopamine connection: Digging out of a hypodopaminergic ditch” (2021) Journal of the Neurological Sciences
Psychostimulant use disorder emphasizing methamphetamine and the opioid -dopamine connection: Digging out of a hypodopaminergic ditch
(2021) Journal of the Neurological Sciences, 420, art. no. 117252, .
Blum, K.a b c , Cadet, J.L.a c , Gold, M.S.c
a Molecular Neuropsychiatry Research Branch, NIH National Institute on Drug Abuse, Baltimore, MD, United States
b Graduate College, Western University Health Sciences, Pomona, CA, United States
c Department of Psychiatry, Washington University, St Louis, MO, United States
Abstract
Background: Approved food and drug administration (FDA) medications to treat Psychostimulant Use Disorder (PUD) are needed. Both acute and chronic neurological deficits related to the neurophysiological effects of these powerfully addictive drugs can cause stroke and alterations in mood and cognition. Objective: This article presents a brief review of the psychiatric and neurobiological sequelae of methamphetamine use disorder, some known neurogenetic associations impacted by psychostimulants, and explores treatment modalities and outcomes. Hypothesis: The authors propose that gentle D2 receptor stimulation accomplished via some treatment modalities can induce dopamine release, causing alteration of D2-directed mRNA and thus enhanced function of D2 receptors in the human. This proliferation of D2 receptors, in turn, will induce the attenuation of craving behavior, especially in genetically compromised high-risk populations. Discussion: A better understanding of the involvement of molecular neurogenetic opioid, mesolimbic dopamine, and psychostimulant connections in “wanting” supports this hypothesis. While both scientific and, clinical professionals search for an FDA approved treatment for PUD the induction of dopamine homeostasis, via activation of the brain reward circuitry, offers treatment for underlying neurotransmitter functional deficits, potential prophylaxis, and support for recovery efforts. Conclusion: Dopamine regulation may help people dig out of their hypodopaminergia ditch. © 2020
Author Keywords
Amphetamines; Cocaine; Induction of dopamine homeostasis; Methamphetamine use disorder (MAUD); Methamphetamines; Neurogenetics; Psychostimulant use disorder (PUD)
Document Type: Review
Publication Stage: Final
Source: Scopus
“Body-, eating-, and exercise-related social comparison behavior and disordered eating in college women in the U.S. and Iran: A cross-cultural comparison” (2021) Eating Behaviors
Body-, eating-, and exercise-related social comparison behavior and disordered eating in college women in the U.S. and Iran: A cross-cultural comparison
(2021) Eating Behaviors, 40, art. no. 101451, .
Sahlan, R.N.a , Saunders, J.F.b , Fitzsimmons-Craft, E.E.c
a Department of Clinical Psychology, Iran University of Medical Sciences, Tehran, Iran
b Department of Psychological Science, Georgia College and State University, Milledgeville, GA, United States
c Department of Psychiatry, Washington University in St. Louis, United States
Abstract
Wearing of the hijab is associated with lower eating disorder (ED) attitudes and behaviors in women. However, this potential buffering role of the hijab has been questioned in countries, such as Iran, where its wearing is compulsory. Further, cross-cultural comparisons between disordered eating behaviors and correlates in Iranian and U.S. women are lacking. This study examines social-cognitive correlates of disordered eating in U.S. and Iranian women, comparing rates of ED- related social comparison and eating pathology. College women in the U.S. (n = 180) and Iran (n = 384) completed the Body, Eating, and Exercise Comparison Orientation Measure (BEECOM) and the Eating Disorder Examination-Questionnaire (EDE-Q) in one session. One-way analyses of covariance and partial correlations were used to test the mean differences and inter-correlations between the variables among U.S. and Iranian women. U.S. women endorsed higher BEECOM scores and higher levels of overvaluation of weight and shape and dietary restraint compared to Iranians. Most BEECOM subscales and disordered eating symptoms were inter-correlated in each culture. The tendency to engage in exercise comparison was not significantly correlated with excessive exercise for U.S. women. Correlations between variables were stronger for U.S. women compared to Iranian women. While the ED-related social comparison levels were higher for U.S. women, the typical Western patterns of social comparison and disordered eating extend to Iranian women. Eating disorder-related social comparison is a recommended clinical target in both Eastern and Western cultures. © 2020 Elsevier Ltd
Author Keywords
College women; Disordered eating; Iran; Social comparison; U.S.
Document Type: Article
Publication Stage: Final
Source: Scopus
“Neurovascular trauma: Diagnosis and therapy” (2021) Handbook of Clinical Neurology
Neurovascular trauma: Diagnosis and therapy
(2021) Handbook of Clinical Neurology, 176, pp. 325-344.
Kansagra, A.P.a , Balasetti, V.b , Huang, M.C.c
a Departments of Radiology, Neurological Surgery, and Neurology, Washington University School of Medicine, St. Louis, MO, United States
b Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
c Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, United States
Abstract
Traumatic cerebrovascular injuries are common in both military and civilian populations. Whether such injuries occur in the aftermath of blunt or penetrating trauma has major implications for characteristics, classification, diagnosis, and optimal management of these lesions. Advances in screening methods, including particularly the dramatic rise of high-quality CT angiography, have facilitated early detection of these lesions. Fortunately, these diagnostic advances have occurred alongside improvements in pharmacological treatment and endovascular intervention, which now play an important role alongside surgical intervention in reducing the likelihood of adverse clinical outcomes. While the management of victims of trauma remains challenging, improved understanding of and ability to appropriately manage traumatic cerebrovascular lesions promises to yield better clinical outcomes for these vulnerable patients. Copyright © 2021 Elsevier B.V. All rights reserved.
Author Keywords
Blunt; Cerebral; Cerebrovascular; Cervical; Penetrating; Trauma; Vascular
Document Type: Article
Publication Stage: Final
Source: Scopus
“Accelerating Psychometric Screening Tests with Prior Information” (2021) Studies in Computational Intelligence
Accelerating Psychometric Screening Tests with Prior Information
(2021) Studies in Computational Intelligence, 914, pp. 305-311.
Larsen, T.a , Malkomes, G.b , Barbour, D.a
a Washington University in St. Louis, St. Louis, MO 63130, United States
b SigOpt, San Francisco, CA 94108, United States
Abstract
Classical methods for psychometric function estimation either require excessive measurements or produce only a low-resolution approximation of the target psychometric function. In this paper, we propose solutions for rapid high-resolution approximation of the psychometric function of a patient given her or his prior exam. We develop a rapid screening algorithm for a change in the psychometric function estimation of a patient. We use Bayesian active model selection to perform an automated pure-tone audiometry test with the goal of quickly finding if the current estimation will be different from the previous one. We validate our methods using audiometric data from the National Institute for Occupational Safety and Health (niosh). Initial results indicate that with a few tones we can (i) detect if the patient’s audiometric function has changed between the two test sessions with high confidence, and (ii) learn high-resolution approximations of the target psychometric function. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
Document Type: Conference Paper
Publication Stage: Final
Source: Scopus
“Exome-wide rare variant analysis in familial essential tremor” (2021) Parkinsonism and Related Disorders
Exome-wide rare variant analysis in familial essential tremor
(2021) Parkinsonism and Related Disorders, 82, pp. 109-116.
Diez-Fairen, M.a , Houle, G.b c , Ortega-Cubero, S.d , Bandres-Ciga, S.e f , Alvarez, I.a , Carcel, M.a , Ibañez, L.g , Fernandez, M.V.g , Budde, J.P.g , Trotta, J.-R.h , Tonda, R.h , Chong, J.X.i , Bamshad, M.J.i j k , Nickerson, D.A.k , Aguilar, M.a , Tartari, J.P.a , Gironell, A.l , García-Martín, E.m , Agundez, J.A.m , Alonso-Navarro, H.n , Jimenez-Jimenez, F.J.n , Fernandez, M.o p , Valldeoriola, F.p q , Marti, M.J.p q , Tolosa, E.p q , Coria, F.r , Pastor, M.A.s , Vilariño-Güell, C.t , Rajput, A.u , Dion, P.A.b v , Cruchaga, C.g , Rouleau, G.A.c v , Pastor, P.a , University of Washington Center for Mendelian Genomics (UWCMG)w
a Fundació Docència i Recerca MútuaTerrassa, Movement Disorders Unit, Department of Neurology, University Hospital Mútua Terrassa, Terrassa, Barcelona, Spain
b Department of Human Genetics, McGill University, Montréal, QC, Canada
c Montreal Neurological Institute, McGill University, Montréal, QC, Canada
d Department of Neurology and Neurosurgery, Hospital Universitario de Burgos, Burgos, Spain
e Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, BethesdaMD, United States
f Instituto de Investigación Biosanitaria de Granada (ibs. GRANADA), Granada, Spain
g NeuroGenomics and Informatics, Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
h Centre Nacional d’Anàlisis Genòmic (CNAG-CRG), Center for Genomic Regulation, Barcelona Institute of Science and Technology (BIST), Barcelona, Spain & Universitat Pompeu Fabra (UPF), Barcelona, Spain
i Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, WA, United States
j Seattle Children’s Hospital, Seattle, WA 98105, United States
k Department of Genome Sciences, University of Washington, Seattle, WA, United States
l Movement Disorders Unit, Neurology Department, Hospital de Sant Pau and Sant Pau Biomedical Research Institute, Barcelona, 08026, Spain
m University Institute of Molecular Pathology Biomarkers, UNEx. ARADyAL Instituto de Salud Carlos III, Cáceres, Spain
n Section of Neurology, Hospital Universitario del Sureste, Arganda del Rey, Madrid, Spain
o María de Maeztu Unit of Excellence, Institute of Neurosciences, University of Barcelona, Ministry of Science, Innovation and UniversitiesMDM-2017-0729, Spain
p Parkinson’s Disease & Movement Disorders Unit, Department of Neurology, Hospital Clínic, IDIBAPS, Barcelona, Spain
q Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic de Barcelona, Barcelona, Spain
r Clinic for Nervous Disorders, Service of Neurology, Son Espases University Hospital, Palma de Mallorca, Spain
s Department of Neurology, Clínica Universidad de Navarra, Pamplona, Spain
t Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
u Saskatchewan Movement Disorders Program, University of Saskatchewan/Saskatchewan Health Authority, Saskatoon, SK, Canada
v Department of Neurology and Neurosurgery, McGill University, Montréal, QC H3A 2B4, Canada
Abstract
Introduction: Essential tremor (ET) is one of the most common movement disorders. Despite its high prevalence and heritability, its genetic etiology remains elusive with only a few susceptibility genes identified and poorly replicated. Our aim was to find novel candidate genes involved in ET predisposition through whole exome sequencing. Methods: We studied eight multigenerational families (N = 40 individuals) with an autosomal-dominant inheritance using a comprehensive strategy combining whole exome sequencing followed by case-control association testing of prioritized variants in a separate cohort comprising 521 ET cases and 596 controls. We further performed gene-based burden analyses in an additional dataset comprising 789 ET patients and 770 healthy individuals to investigate whether there was an enrichment of rare deleterious variants within our candidate genes. Results: Fifteen variants co-segregated with disease status in at least one of the families, among which rs749875462 in CCDC183, rs535864157 in MMP10 and rs114285050 in GPR151 showed a nominal association with ET. However, we found no significant enrichment of rare variants within these genes in cases compared with controls. Interestingly, MMP10 protein is involved in the inflammatory response to neuronal damage and has been previously associated with other neurological disorders. Conclusions: We prioritized a set of promising genes, especially MMP10, for further genetic and functional studies in ET. Our study suggests that rare deleterious coding variants that markedly increase susceptibility to ET are likely to be found in many genes. Future studies are needed to replicate and further infer biological mechanisms and potential disease causality for our identified genes. © 2020 Elsevier Ltd
Author Keywords
Essential tremor; Genetic risk; MMP10; Rare variants; WES
Funding details
Ministerio de Ciencia e InnovaciónMICINNSAF2013-47939-R
National Heart, Lung, and Blood InstituteNHLBIUM1 HG006493, U24 HG008956
Baylor-Hopkins Center for Mendelian GenomicsBHCMG
National Human Genome Research InstituteNHGRI
MDM-2017-0729
Document Type: Article
Publication Stage: Final
Source: Scopus
“Anterior Cingulate Cortex and the Control of Dynamic Behavior in Primates” (2020) Current Biology
Anterior Cingulate Cortex and the Control of Dynamic Behavior in Primates
(2020) Current Biology, 30 (23), pp. R1442-R1454.
Monosov, I.E.a b c d e , Haber, S.N.f g , Leuthardt, E.C.b d , Jezzini, A.a
a Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, United States
b Department of Biomedical Engineering, Washington University, St. Louis, MO 63130, United States
c Department of Electrical Engineering, Washington University, St. Louis, MO 63130, United States
d Department of Neurosurgery School of Medicine, Washington University, St. Louis, MO 63110, United States
e Pain Center, Washington University School of Medicine, St. Louis, MO 63110, United States
f Department of Pharmacology and Physiology, University of Rochester, Rochester, NY 14627, United States
g Basic Neuroscience, McLean Hospital, Harvard Medical School, Belmont, MA 02478, United States
Abstract
The brain mechanism for controlling continuous behavior in dynamic contexts must mediate action selection and learning across many timescales, responding differentially to the level of environmental uncertainty and volatility. In this review, we argue that a part of the frontal cortex known as the anterior cingulate cortex (ACC) is particularly well suited for this function. First, the ACC is interconnected with prefrontal, parietal, and subcortical regions involved in valuation and action selection. Second, the ACC integrates diverse, behaviorally relevant information across multiple timescales, producing output signals that temporally encapsulate decision and learning processes and encode high-dimensional information about the value and uncertainty of future outcomes and subsequent behaviors. Third, the ACC signals behaviorally relevant information flexibly, displaying the capacity to represent information about current and future states in a valence-, context-, task- and action-specific manner. Fourth, the ACC dynamically controls instrumental- and non-instrumental information seeking behaviors to resolve uncertainty about future outcomes. We review electrophysiological and circuit disruption studies in primates to develop this point, discuss its relationship to novel therapeutics for neuropsychiatric disorders in humans, and conclude by relating ongoing research in primates to studies of medial frontal cortical regions in rodents. Monosov and colleagues review how dynamic and risky decisions, foraging and information seeking are controlled by value, valence, and context sensitive neurons in the anterior cingulate cortex © 2020 Elsevier Inc.
Funding details
McKnight FoundationMH045573, R01CA203861, MH106435
National Institute of Mental HealthNIMHR01MH110594, R01MH116937
Document Type: Review
Publication Stage: Final
Source: Scopus
“Hidden Hearing Loss: Mixed Effects of Compensatory Plasticity” (2020) Current Biology
Hidden Hearing Loss: Mixed Effects of Compensatory Plasticity
(2020) Current Biology, 30 (23), pp. R1433-R1436.
Barbour, D.L.
Laboratory of Sensory Neuroscience and Neuroengineering, Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130, United States
Abstract
Hidden hearing loss manifests as speech perception difficulties with normal hearing thresholds. A new study shows that neural compensation induced by this disorder may actually improve speech perception under narrow conditions within an overall profile of degradation. © 2020 Elsevier Inc.
Document Type: Article
Publication Stage: Final
Source: Scopus
“Activation of the archaeal ion channel MthK is exquisitely regulated by temperature” (2020) eLife
Activation of the archaeal ion channel MthK is exquisitely regulated by temperature
(2020) eLife, 9, .
Jiang, Y.a b , Idikuda, V.a b , Chowdhury, S.a b , Chanda, B.a b
a Department of Anesthesiology, Washington University School of Medicine, St. Louis, United States
b Center for the Investigation of Membrane Excitability Diseases (CIMED), St. Louis, United States
Abstract
Physiological response to thermal stimuli in mammals is mediated by a structurally diverse class of ion channels, many of which exhibit polymodal behavior. To probe the diversity of biophysical mechanisms of temperature-sensitivity, we characterized the temperature-dependent activation of MthK, a two transmembrane calcium-activated potassium channel from thermophilic archaebacteria. Our functional complementation studies show that these channels are more efficient at rescuing K+ transport at 37°C than at 24°C. Electrophysiological activity of the purified MthK is extremely sensitive (Q10 >100) to heating particularly at low-calcium concentrations whereas channels lacking the calcium-sensing RCK domain are practically insensitive. By analyzing single-channel activities at limiting calcium concentrations, we find that temperature alters the coupling between the cytoplasmic RCK domains and the pore domain. These findings reveal a hitherto unexplored mechanism of temperature-dependent regulation of ion channel gating and shed light on ancient origins of temperature-sensitivity. © 2020, Jiang et al.
Author Keywords
allosteric coupling; archaebacteria; calcium activation; ion channels; molecular biophysics; RCK domain; structural biology; thermo-sensing
Document Type: Article
Publication Stage: Final
Source: Scopus
“Pituitary gland recovery following fully endoscopic transsphenoidal surgery for nonfunctioning pituitary adenoma: Results of a prospective multicenter study” (2020) Journal of Neurosurgery
Pituitary gland recovery following fully endoscopic transsphenoidal surgery for nonfunctioning pituitary adenoma: Results of a prospective multicenter study
(2020) Journal of Neurosurgery, 133 (6), pp. 1732-1738. Cited 2 times.
Little, A.S.a , Gardner, P.A.b , Fernandez-Miranda, J.C.c , Chicoine, M.R.d , Barkhoudarian, G.e , Prevedello, D.M.f , Yuen, K.C.J.g , Kelly, D.F.e
a Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ, United States
b Department of Neurosurgery, University of PittsburghPA, United States
c Department of Neurosurgery, Stanford University, Palo Alto, CA, United States
d Department of Neurological Surgery, Washington University, School of Medicine, St. Louis, MO, United States
e Pacific Brain Tumor Center and Pituitary Disorders Program, John Wayne Cancer Institute, Providence Saint John’s Health Center, Santa Monica, CA, United States
f Department of Neurological Surgery, Ohio State University, Columbus, OH, United States
g Department of Neuroendocrinology, Barrow Neurological Institute, Phoenix, AZ, United States
Abstract
OBJECTIVE Recovery from preexisting hypopituitarism after transsphenoidal surgery for pituitary adenoma is an important outcome to investigate. Furthermore, pituitary function has not been thoroughly evaluated after fully endoscopic surgery, and benchmark outcomes have not been clearly established. Here, the authors characterize pituitary gland outcomes with a focus on gland recovery following endoscopic transsphenoidal removal of clinically nonfunctioning adenomas. METHODS This multicenter prospective study was conducted at 6 US pituitary centers among adult patients with nonfunctioning pituitary macroadenomas who had undergone endoscopic endonasal pituitary surgery. Pituitary gland function was evaluated 6 months after surgery. RESULTS The 177 enrolled patients underwent fully endoscopic transsphenoidal surgery; 169 (95.5%) of them were available for follow-up. Ninety-five (56.2%) of the 169 patients had had a preoperative deficiency in at least one hormone axis, and 20/95 (21.1%) experienced recovery in at least one axis at the 6-month follow-up. Patients with adrenal insufficiency were more likely to recover (10/34 [29.4%]) than were those with hypothyroidism (8/72 [11.1%]) or male hypogonadism (5/50 [10.0%]). At the 6-month follow-up, 14/145 (9.7%) patients had developed at least one new deficiency. The study did not identify any predictors of gland recovery (p ≥0.20). Permanent diabetes insipidus was observed in 4/166 (2.4%) patients. Predictors of new gland dysfunction included a larger tumor size (p = 0.009) and Knosp grade 3 and 4 (p = 0.051). CONCLUSIONS Fully endoscopic pituitary surgery resulted in improvement of pituitary gland function in a substantial minority of patients. The deficiency from which patients were most likely to recover was adrenal insufficiency. Overall rates of postoperative permanent diabetes insipidus were low. This study provides multicenter benchmark neuroendocrine clinical outcome data for the endoscopic technique. © AANS 2020.
Author Keywords
Endoscopic surgery; Hypopituitarism; Nonfunctioning adenoma; Pituitary surgery; Transsphenoidal surgery
Document Type: Review
Publication Stage: Final
Source: Scopus
“Histone H3.3 beyond cancer: Germline mutations in Histone 3 Family 3A and 3B cause a previously unidentified neurodegenerative disorder in 46 patients” (2020) Science Advances
Histone H3.3 beyond cancer: Germline mutations in Histone 3 Family 3A and 3B cause a previously unidentified neurodegenerative disorder in 46 patients
(2020) Science Advances, 6 (49), .
Bryant, L.a , Li, D.a , Cox, S.G.b , Marchione, D.c , Joiner, E.F.d , Wilson, K.c , Janssen, K.c , Lee, P.e , March, M.E.a , Nair, D.a , Sherr, E.f , Fregeau, B.f , Wierenga, K.J.g , Wadley, A.g , Mancini, G.M.S.h , Powell-Hamilton, N.i , van de Kamp, J.j , Grebe, T.k , Dean, J.l , Ross, A.l , Crawford, H.P.m , Powis, Z.n , Cho, M.T.o , Willing, M.C.p , Manwaring, L.p , Schot, R.h , Nava, C.q r , Afenjar, A.s , Lessel, D.t u , Wagner, M.v w x , Klopstock, T.y z aa , Winkelmann, J.v x aa ab , Catarino, C.B.y , Retterer, K.o , Schuette, J.L.ac , Innis, J.W.ac , Pizzino, A.ad ae , Lüttgen, S.af , Denecke, J.af , Strom, T.M.v x , Monaghan, K.G.o , Yuan, Z.-F.c , Dubbs, H.ad ae , Bend, R.ag , Lee, J.A.ag , Lyons, M.J.ag , Hoefele, J.x , Günthner, R.ah ai , Reutter, H.aj , Keren, B.r , Radtke, K.ak , Sherbini, O.ad ae , Mrokse, C.ak , Helbig, K.L.ak , Odent, S.al , Cogne, B.am an , Mercier, S.am an , Bezieau, S.am an , Besnard, T.am an , Kury, S.am an , Redon, R.an , Reinson, K.ao ap , Wojcik, M.H.aq ar , Õunap, K.ao ap , Ilves, P.as , Innes, A.M.at , Kernohan, K.D.au av , Costain, G.aw , Meyn, M.S.aw ax , Chitayat, D.aw ay , Zackai, E.az , Lehman, A.ba , Kitson, H.bb , Martin, M.G.bc bd , Martinez-Agosto, J.A.be bf , Nelson, S.F.be bg , Palmer, C.G.S.be bh , Papp, J.C.be , Parker, N.H.bi , Sinsheimer, J.S.bj , Vilain, E.bk , Wan, J.be , Yoon, A.J.be , Zheng, A.be , Brimble, E.bl , Ferrero, G.B.bm , Radio, F.C.bn , Carli, D.bm , Barresi, S.bn , Brusco, A.bo , Tartaglia, M.bn , Thomas, J.M.bp , Umana, L.bq , Weiss, M.M.j , Gotway, G.bq , Stuurman, K.E.h , Thompson, M.L.br , McWalter, K.o , Stumpel, C.T.R.M.bs , Stevens, S.J.C.bs , Stegmann, A.P.A.bs , Tveten, K.bt , Vøllo, A.bu , Prescott, T.bt , Fagerberg, C.bv , Laulund, L.W.bw , Larsen, M.J.bv , Byler, M.bx , Lebel, R.R.bx , Hurst, A.C.by , Dean, J.by , Schrier Vergano, S.A.bz , Norman, J.ca , Mercimek-Andrews, S.aw , Neira, J.cb , Van Allen, M.I.ba cc , Longo, N.cd , Sellars, E.ce , Louie, R.J.ag , Cathey, S.S.ag , Brokamp, E.cf , Heron, D.r , Snyder, M.cg , Vanderver, A.ad ae , Simon, C.d , de la Cruz, X.ch ci , Padilla, N.ch , Crump, J.G.b , Chung, W.cj , Garcia, B.b c , Hakonarson, H.H.a , Bhoj, E.J.a , DDD Studyck , Care4Rare Canada Consortiumcl , CAUSES Studycm , Undiagnosed Diseases Networkcn
a Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, United States
b Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, CA, 90033, United States
c Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States
d Vagelos College of Physicians and Surgeons, Columbia University, NY, NY 10032, United States
e Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States
f Department of Neurology, University of California, San Francisco, San Francisco, CA 94158, USA
g Department of Clinical Genomics, Mayo Clinic Florida, Jacksonville, FL 32224, United States
h Department of Clinical Genetics, Erasmus University Medical Center, CN Rotterdam, 3015, Netherlands
i Department of Medical Genetics, Alfred I. duPont Hospital for Children, Wilmington, DE 19810, USA
j Department of Clinical Genetics, VU Medical Center, Amsterdam, Netherlands
k Division of Genetics and Metabolism, Phoenix Children’s Hospital, Phoenix, United States
l Department of Medical Genetics, Aberdeen Royal Infirmary, Aberdeen, United Kingdom
m Clinical and Metabolic Genetics, Cook Children’s Medical Center, Fort Worth, United States
n Department of Emerging Genetic Medicine, Ambry Genetics, Aliso Viejo, CA 92656, USA
o GeneDx, 207 Perry Parkway, Gaithersburg, United States
p Division of Genetics and Genomic Medicine, Department of Pediatrics, Washington University in St. Louis, School of Medicine, St. Louis, MO 63110, USA
q UMR S 1127, Inserm U 1127, CNRS UMR 7225, ICM, Sorbonne Universités ,UPMC Univ Paris 06, Paris, France
r AP-HP, Hôpital de la Pitié-Salpêtrière, Département de Génétique, Paris, F-75013, France
s CRMR des malformations et maladies congénitales du cervelet et CRMR déficience intellectuelle, hôpital Trousseau, AP-HP, Service de génétique, France
t Institute of Human Genetics, University Medical Center Hamburg-EppendorfHamburg 20246, Germany
u Undiagnosed Disease Program at the University Medical Center Hamburg-Eppendorf (UDP-UKE), Martinistrasse 52Hamburg 20246, Germany
v Helmholtz Zentrum München, Munich, Germany
w Institut für Humangenetik, Helmholtz Zentrum München, Munich, Germany
x Institut für Humangenetik, Technische Universität München, Munich, Germany
y Friedrich-Baur-Institute, Department of Neurology, Ludwig-Maximilians University, Ziemssenstr. 1a, Munich, 80336, Germany
z German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
aa Munich Cluster for Systems Neurology, SyNergy, Munich, Germany
ab Klinik und Poliklinik für Neurologie, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
ac Division of Genetics, Metabolism, Genomic Medicine, Department of Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor, MI 48109, United States
ad Division of Neurology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, United States
ae Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States
af Department of Pediatrics, University Medical Center EppendorfHamburg 20246, Germany
ag Greenwood Genetic Center, SC 29646, Greenwood, United States
ah Department of Nephrology, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany
ai Institute of Human Genetics, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany
aj Department of Neonatology and Pediatric Intensive Care, Children’s Hospital, University Hospital Bonn & Institute of Human Genetics, University Hospital Bonn, Bonn, Germany
ak Department of Clinical Genomics, Ambry Genetics, Aliso Viejo, CA 92656, USA
al CHU Rennes, Service de Génétique Clinique, CNRS UMR6290, University Rennes1, Rennes, France
am CHU Nantes, Service de Génétique Médicale, 9 quai Moncousu, Nantes, 44093, France
an INSERM, CNRS, UNIV Nantes, CHU Nantes, l’institut du thorax, Nantes, 44007, France
ao Department of Clinical Genetics, United Laboratories, Tartu University HospitalTartu, Estonia
ap Institute of Clinical Medicine, University of TartuTartu, Estonia
aq Division of Genetics and Genomics and Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
ar Broad Institute, Cambridge, MA 02142, United States
as Radiology Department of Tartu University Hospital and Institute of Clinical Medicine, University of TartuTartu, Estonia
at Alberta Children’s Hospital Research Institute, Department of Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
au Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H8L1, Canada
av Newborn Screening Ontario (NSO), Children’s Hospital of Eastern Ontario, Ottawa, ON, Canada
aw Division of Clinical and Metabolic Genetics, Department of Pediatrics, University of Toronto, Hospital for Sick Children, Toronto, ON, Canada
ax Center for Human Genomics and Precision Medicine, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI 53705, United States
ay Prenatal Diagnosis and Medical Genetics Program, Mount Sinai Hospital, Toronto, ON, Canada
az Division of Human Genetics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, United States
ba Department of Medical Genetics, University of British Columbia, Vancouver, Canada
bb Department of Pediatrics, University of British Columbia, Vancouver, Canada
bc Division of Gastroenterology and Nutrition, Department of Pediatrics, Mattel Children’s Hospital, Los Angeles, CA 90095, USA
bd Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research and the David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
be Department of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
bf Division of Medical Genetics, Department of Pediatrics, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
bg Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
bh Institute for Society and Genetics, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
bi David Geffen School of Medicine, Los Angeles, CA 90095, USA
bj Institute for Society and Genetics, Departments of Human Genetics, Biomathematics, and Biostatistics, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
bk Center for Genetic Medicine Research, Children’s National Medical CenterWA, United States
bl Department of Neurology and Neurological Sciences, Stanford Medicine, Stanford, CA 94305, USA
bm Department of Public Health and Pediatrics, University of Torino, Turin, Italy
bn Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù, Rome, Italy
bo Department of Medical Sciences, University of Torino, Turin, Italy
bp Pediatrics and Neurology and Neurotherapeutics, UT Southwestern Medical Center, Dallas, TX 75390, United States
bq Genetics and Metabolism, UT Southwestern Medical Center, Dallas, TX 75390, United States
br HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
bs Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, Netherlands
bt Department of Medical Genetics, Telemark Hospital Trust, Skien, 3710, Norway
bu Department of Pediatrics, Hospital of Østfold, Norway
bv Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
bw H.C. Andersen Children’s Hospital, Odense University Hospital, Odense, Denmark
bx SUNY Upstate Medical University, Syracuse, NY 13210, USA
by University of Alabama at Birmingham, Birmingham, AL 35294, USA
bz Division of Medical Genetics and Metabolism, Children’s Hospital of The King’s Daughters, United States
ca INTEGRIS Pediatric Neurology, Oklahoma City, United States
cb Department of Human Genetics, Emory University, Atlanta, GA 30322, United States
cc Medical Genetics Programs, Provincial Health Shared Services BC and Vancouver Island Health Shared Services BC, Canada
cd Division of Medical Genetics, Department of Pediatrics, University of Utah, Salt Lake City, UT 84112, United States
ce University of Arkansas for Medical Sciences, Little Rock, United States
cf Vanderbilt University, Nashville, United States
cg Child Neurology, UT Southwestern Medical Center, Dallas, TX 75390, United States
ch Vall d’Hebron Institute of Research (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
ci Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
cj Departments of Pediatrics and Medicine, Columbia University Irving Medical Center, NY, NY 10032, United States
Abstract
Although somatic mutations in Histone 3.3 (H3.3) are well-studied drivers of oncogenesis, the role of germline mutations remains unreported. We analyze 46 patients bearing de novo germline mutations in histone 3 family 3A (H3F3A) or H3F3B with progressive neurologic dysfunction and congenital anomalies without malignancies. Molecular modeling of all 37 variants demonstrated clear disruptions in interactions with DNA, other histones, and histone chaperone proteins. Patient histone posttranslational modifications (PTMs) analysis revealed notably aberrant local PTM patterns distinct from the somatic lysine mutations that cause global PTM dysregulation. RNA sequencing on patient cells demonstrated up-regulated gene expression related to mitosis and cell division, and cellular assays confirmed an increased proliferative capacity. A zebrafish model showed craniofacial anomalies and a defect in Foxd3-derived glia. These data suggest that the mechanism of germline mutations are distinct from cancer-associated somatic histone mutations but may converge on control of cell proliferation. Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).
Document Type: Article
Publication Stage: Final
Source: Scopus
“dmPFC-vlPAG projection neurons contribute to pain threshold maintenance and antianxiety behaviors” (2020) Journal of Clinical Investigation
dmPFC-vlPAG projection neurons contribute to pain threshold maintenance and antianxiety behaviors
(2020) Journal of Clinical Investigation, 130 (12), pp. 6555-6570.
Yin, J.-B.a b c d , Liang, S.-H.a e , Li, F.a f , Zhao, W.-J.a f , Bai, Y.a c , Sun, Y.a c e , Wu, Z.-Y.a c , Ding, T.g , Sun, Y.f , Liu, H.-X.a , Lu, Y.-C.a , Zhang, T.a , Huang, J.a , Chen, T.a , Li, H.a c , Chen, Z.-F.c , Cao, J.h , Ren, R.d , Peng, Y.-N.d , Yang, J.d , Zang, W.-D.h , Li, X.i , Dong, Y.-L.a , Li, Y.-Q.a d h
a Department of Anatomy, Histology and Embryology, K.K. Leung Brain Research Centre, Fourth Military Medical University, Xi’an, China
b Department of Neurology, 960th Hospital of PLA, Jinan, China
c Center for the Study of Itch, Washington University School of Medicine, St. Louis, MO, United States
d Key Laboratory of Brain Science Research and Transformation in the Tropical Environment of Hainan Province, Haikou, China
e Department of Human Anatomy, Binzhou Medical College, Yantai, China
f Cadet Brigade, Xijing Hospital, Fourth Military Medical University, Xi’an, China
g Department of Orthopedics, Xijing Hospital, Fourth Military Medical University, Xi’an, China
h Department of Anatomy, Basic Medical College, Zhengzhou University, Zhengzhou, China
i Department of Orthopaedics, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
Abstract
The dorsal medial prefrontal cortex (dmPFC) has been recognized as a key cortical area for nociceptive modulation. However, the underlying neural pathway and the function of specific cell types remain largely unclear. Here, we show that lesions in the dmPFC induced an algesic and anxious state. Using multiple tracing methods including a rabies-based transsynaptic tracing method, we outlined an excitatory descending neural pathway from the dmPFC to the ventrolateral periaqueductal gray (vlPAG). Specific activation of the dmPFC/vlPAG neural pathway by optogenetic manipulation produced analgesic and antianxiety effects in a mouse model of chronic pain. Inhibitory neurons in the dmPFC were specifically activated using a chemogenetic approach, which logically produced an algesic and anxious state under both normal and chronic pain conditions. Antagonists of the GABAA receptor (GABAAR) or mGluR1 were applied to the dmPFC, which produced analgesic and antianxiety effects. In summary, the results of our study suggest that the dmPFC/vlPAG neural pathway might participate in the maintenance of pain thresholds and antianxiety behaviors under normal conditions, while silencing or suppressing the dmPFC/vlPAG pathway might be involved in the initial stages and maintenance of chronic pain and the emergence of anxiety-like behaviors. © 2020, American Society for Clinical Investigation.
Funding details
China Postdoctoral Science Foundation2019TQ0135
Fourth Military Medical UniversityFMMU2015D06
2018153
National Natural Science Foundation of ChinaNSFC81801099, 31871061, 81620108008, 31671087
Document Type: Article
Publication Stage: Final
Source: Scopus
“A ventrolateral medulla-midline thalamic circuit for hypoglycemic feeding” (2020) Nature Communications
A ventrolateral medulla-midline thalamic circuit for hypoglycemic feeding
(2020) Nature Communications, 11 (1), art. no. 6218, .
Sofia Beas, B.a , Gu, X.b , Leng, Y.a , Koita, O.a , Rodriguez-Gonzalez, S.a , Kindel, M.a , Matikainen-Ankney, B.A.c , Larsen, R.S.d , Kravitz, A.V.c e , Hoon, M.A.b , Penzo, M.A.a
a Unit on the Neurobiology of Affective Memory, National Institute of Mental Health, Bethesda, MD, United States
b Molecular Genetics Section, National Institute of Dental and Craniofacial Research, Bethesda, MD, United States
c National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, United States
d Allen Institute for Brain Science, Seattle, WA, United States
e Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
Abstract
Marked deficits in glucose availability, or glucoprivation, elicit organism-wide counter-regulatory responses whose purpose is to restore glucose homeostasis. However, while catecholamine neurons of the ventrolateral medulla (VLMCA) are thought to orchestrate these responses, the circuit and cellular mechanisms underlying specific counter-regulatory responses are largely unknown. Here, we combined anatomical, imaging, optogenetic and behavioral approaches to interrogate the circuit mechanisms by which VLMCA neurons orchestrate glucoprivation-induced food seeking behavior. Using these approaches, we found that VLMCA neurons form functional connections with nucleus accumbens (NAc)-projecting neurons of the posterior portion of the paraventricular nucleus of the thalamus (pPVT). Importantly, optogenetic manipulations revealed that while activation of VLMCA projections to the pPVT was sufficient to elicit robust feeding behavior in well fed mice, inhibition of VLMCA–pPVT communication significantly impaired glucoprivation-induced feeding while leaving other major counterregulatory responses intact. Collectively our findings identify the VLMCA–pPVT–NAc pathway as a previously-neglected node selectively controlling glucoprivation-induced food seeking. Moreover, by identifying the ventrolateral medulla as a direct source of metabolic information to the midline thalamus, our results support a growing body of literature on the role of the PVT in homeostatic regulation. © 2020, This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.
Funding details
National Institute of General Medical SciencesNIGMSFi2GM128811
National Institute of Mental HealthNIMH1ZIAMH002950
National Institute of Dental and Craniofacial ResearchNIDCR
Document Type: Article
Publication Stage: Final
Source: Scopus
“Hearing Loss in Children: A Review” (2020) JAMA
Hearing Loss in Children: A Review
(2020) JAMA, 324 (21), pp. 2195-2205.
Lieu, J.E.C.a , Kenna, M.b c , Anne, S.d , Davidson, L.a
a Department of Otolaryngology-Head and Neck Surgery, Washington University in St Louis, St Louis, MO, United States
b Department of Otolaryngology and Communication Enhancement, Boston Children’s Hospital, Boston, MA
c Department of Otolaryngology, Head and Neck Surgery, Harvard Medical School, Boston, MA
d Head and Neck Institute, Cleveland Clinic, Cleveland, OH, United States
Abstract
Importance: Hearing loss in children is common and by age 18 years, affects nearly 1 of every 5 children. Without hearing rehabilitation, hearing loss can cause detrimental effects on speech, language, developmental, educational, and cognitive outcomes in children. Observations: Consequences of hearing loss in children include worse outcomes in speech, language, education, social functioning, cognitive abilities, and quality of life. Hearing loss can be congenital, delayed onset, or acquired with possible etiologies including congenital infections, genetic causes including syndromic and nonsyndromic etiologies, and trauma, among others. Evaluation of hearing loss must be based on suspected diagnosis, type, laterality and degree of hearing loss, age of onset, and additional variables such as exposure to cranial irradiation. Hearing rehabilitation for children with hearing loss may include use of hearing aids, cochlear implants, bone anchored devices, or use of assistive devices such as frequency modulating systems. Conclusions and Relevance: Hearing loss in children is common, and there has been substantial progress in diagnosis and management of these cases. Early identification of hearing loss and understanding its etiology can assist with prognosis and counseling of families. In addition, awareness of treatment strategies including the many hearing device options, cochlear implant, and assistive devices can help direct management of the patient to optimize outcomes.
Document Type: Article
Publication Stage: Final
Source: Scopus
“Astrocyte deletion of α2-Na/K ATPase triggers episodic motor paralysis in mice via a metabolic pathway” (2020) Nature Communications
Astrocyte deletion of α2-Na/K ATPase triggers episodic motor paralysis in mice via a metabolic pathway
(2020) Nature Communications, 11 (1), art. no. 6164, .
Smith, S.E.a b , Chen, X.a , Brier, L.M.b c , Bumstead, J.R.c d , Rensing, N.R.e , Ringel, A.E.f , Shin, H.a , Oldenborg, A.a , Crowley, J.R.g , Bice, A.R.c , Dikranian, K.a , Ippolito, J.E.c , Haigis, M.C.f , Papouin, T.a , Zhao, G.a , Wong, M.e , Culver, J.P.c d h , Bonni, A.a
a Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, United States
b MD-PhD Program, Washington University School of Medicine, St. Louis, MO 63110, United States
c Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, United States
d Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63105, United States
e Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, United States
f Department of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, United States
g Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO 63110, United States
h Department of Physics, Washington University in St. Louis, St. Louis, MO 63105, United States
Abstract
Familial hemiplegic migraine is an episodic neurological disorder characterized by transient sensory and motor symptoms and signs. Mutations of the ion pump α2-Na/K ATPase cause familial hemiplegic migraine, but the mechanisms by which α2-Na/K ATPase mutations lead to the migraine phenotype remain incompletely understood. Here, we show that mice in which α2-Na/K ATPase is conditionally deleted in astrocytes display episodic paralysis. Functional neuroimaging reveals that conditional α2-Na/K ATPase knockout triggers spontaneous cortical spreading depression events that are associated with EEG low voltage activity events, which correlate with transient motor impairment in these mice. Transcriptomic and metabolomic analyses show that α2-Na/K ATPase loss alters metabolic gene expression with consequent serine and glycine elevation in the brain. A serine- and glycine-free diet rescues the transient motor impairment in conditional α2-Na/K ATPase knockout mice. Together, our findings define a metabolic mechanism regulated by astrocytic α2-Na/K ATPase that triggers episodic motor paralysis in mice. © 2020, The Author(s).
Funding details
U54 HD087011
P41 GM103422
T32 GM07200
NS051255, NS041021
U54CA224088, P30 NS098577, R01 NS099429
Intellectual and Developmental Disabilities Research CenterIDDRCR01 NS056872
Glenn Foundation for Medical Research
P30 DK020579, P30 DK056341
Intellectual and Developmental Disabilities Research CenterIDDRC
American Cancer SocietyACS130373-PF-17-132-01-CCG
G. Harold and Leila Y. Mathers Charitable FoundationF30 NS100217
Document Type: Article
Publication Stage: Final
Source: Scopus
“Effects of Olanzapine Combined With Samidorphan on Weight Gain in Schizophrenia: A 24-Week Phase 3 Study” (2020) The American Journal of Psychiatry
Effects of Olanzapine Combined With Samidorphan on Weight Gain in Schizophrenia: A 24-Week Phase 3 Study
(2020) The American Journal of Psychiatry, 177 (12), pp. 1168-1178.
Correll, C.U., Newcomer, J.W., Silverman, B., DiPetrillo, L., Graham, C., Jiang, Y., Du, Y., Simmons, A., Hopkinson, C., McDonnell, D., Kahn, R.S.
Department of Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, N.Y. (Correll); Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, N.Y. (Correll); Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin (Correll); Thriving Mind South Florida, Miami (Newcomer); Department of Psychiatry, Washington University School of Medicine, St. Louis (Newcomer); Alkermes, Inc., Waltham, Mass. (Silverman, DiPetrillo, Graham, Jiang, Du, Simmons, Hopkinson); Alkermes Pharma Ireland, Dublin (McDonnell); and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Kahn)
Abstract
OBJECTIVE: A combination of olanzapine and the opioid receptor antagonist samidorphan is under development for the treatment of schizophrenia and bipolar I disorder. The single-tablet combination treatment is intended to provide the efficacy of olanzapine while mitigating olanzapine-associated weight gain. In this phase 3 double-blind trial, the authors evaluated the weight profile of combined olanzapine/samidorphan compared with olanzapine in patients with schizophrenia. METHODS: Adults (ages 18‒55 years) with schizophrenia were randomly assigned to receive either combination treatment with olanzapine and samidorphan or olanzapine treatment for 24 weeks. Primary endpoints were percent change from baseline in body weight and proportion of patients with ≥10% weight gain at week 24. The key secondary endpoint was the proportion of patients with ≥7% weight gain. Waist circumference and fasting metabolic laboratory parameters were also measured. RESULTS: Of 561 patients who underwent randomization (olanzapine/samidorphan combination, N=280; olanzapine, N=281), 538 had at least one postbaseline weight assessment. At week 24, the least squares mean percent weight change from baseline was 4.21% (SE=0.68) in the olanzapine/samidorphan group and 6.59% (SE=0.67) in the olanzapine group (the difference of -2.38% [SE=0.76] was significant). Significantly fewer patients in the olanzapine/samidorphan combination group compared with the olanzapine group had weight gain ≥10% (17.8% and 29.8%, respectively; number needed to treat [NNT]=7.29; odds ratio=0.50) and weight gain ≥7% (27.5% and 42.7%, respectively; NNT=6.29; odds ratio=0.50). Increases in waist circumference were smaller in the olanzapine/samidorphan combination group compared with the olanzapine group. Schizophrenia symptom improvement was similar between treatment groups. Adverse events (in ≥10% of the groups) in the olanzapine/samidorphan and olanzapine groups included weight gain (24.8% and 36.2%), somnolence (21.2% and 18.1%), dry mouth (12.8% and 8.0%), and increased appetite (10.9% and 12.3%). Metabolic changes were small and similar between treatments. CONCLUSIONS: Olanzapine/samidorphan combination treatment was associated with significantly less weight gain and smaller increases in waist circumference than olanzapine and was well tolerated. The antipsychotic efficacy of the combination treatment was similar to that of olanzapine monotherapy.
Author Keywords
Antipsychotic Agents; Olanzapine; Samidorphan; Schizophrenia; Weight Gain
Document Type: Article
Publication Stage: Final
Source: Scopus
“Association of blood-based transcriptional risk scores with biomarkers for Alzheimer disease” (2020) Neurology: Genetics
Association of blood-based transcriptional risk scores with biomarkers for Alzheimer disease
(2020) Neurology: Genetics, 6 (6), art. no. e517, .
Park, Y.H.a b c , Hodges, A.d , Simmons, A.d , Lovestone, S.e , Weiner, M.W.f g j , Kim, S.ap , Saykin, A.J.a b h , Nho, K.a b i , Aisen, P.k , Petersen, R.l , Jack, C.R., Jr.l , Jagust, W.m , Trojanowki, J.Q.n , Toga, A.W.k , Beckett, L.o , Green, R.C.p , Saykin, A.J.q , Morris, J.r , Shaw, L.M.n , Khachaturian, Z.s , Sorensen, G.t , Carrillo, M.u , Kuller, L.v , Raichle, M.r , Paul, S.w , Davies, P.x , Fillit, H.y , Hefti, F.z , Holtzman, D.r , Marcel Mesulam, M.aa , Potter, W.ab , Snyder, P.ac , Hendrix, J.u , Vasanthakumar, A.ad , Montine, T.ae , Rafii, M.k , Chow, T.k , Raman, R.k , Jimenez, G.k , Donohue, M.k , Gessert, D.k , Harless, K.k , Salazar, J.k , Cabrera, Y.k , Walter, S.k , Hergesheimer, L.k , Beckett, L.o , Harvey, D.o , Donohue, M.af , Bernstein, M.l , Fox, N.ag , Thompson, P.ah , Schuff, N.j , DeCArli, C.o , Borowski, B.l , Gunter, J.l , Senjem, M.l , Vemuri, P.l , Jones, D.l , Kantarci, K.l , Ward, C.l , Koeppe, R.A.ai , Foster, N.aj , Reiman, E.M.ak , Chen, K.ak , Mathis, C.v , Landau, S.m , Cairns, N.J.r , Franklin, E.r , Lee, V.n , Korecka, M.n , Figurski, M.ap , Crawford, K.k , Neu, S.k , Foroud, T.M.q , Potkin, S.al , Shen, L.q , Faber, K.q , Kim, S.q , Nho, K.q , Albert, M.am , Frank, R.an , Hsiao, J.ao , AddNeuroMed consortium and the Alzheimer’s Disease Neuroimaging Initiativeap
a Department of Radiology and Imaging Sciences, Indiana University, School of Medicine, Indianapolis, United States
b Indiana Alzheimer Disease Center, Indiana University, School of Medicine, Indianapolis, United States
c Department of Neurology, Seoul National University Bundang Hospital, Seoul National University, College of Medicine, Seongnam, South Korea
d Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, United Kingdom
e Department of Psychiatry, University of Oxford, United Kingdom
f Department of Radiology, Medicine, and Psychiatry, University of California, San Francisco, United States
g Department of Veterans Affairs Medical Center, San Francisco, CA, United States
h Department of Medical and Molecular Genetics, Indiana University, School of Medicine, Indianapolis, United States
i Center for Computational Biology and Bioinformatics, Indiana University, School of Medicine, Indianapolis, United States
j UC San Francisco, United States
k University of Southern California, United States
l Mayo Clinic, Rochester, United States
m UC Berkeley
n University of Pennsylvania, United States
o UC Davis
p Brigham and Women’s Hospital, Harvard Medical School, United States
q Indiana University, United States
r Washington University St. Louis, United States
s Prevent Alzheimer’s Disease 2020
t Siemens
u Alzheimer’s Association
v University of Pittsburgh, United States
w Cornell University, United States
x Albert Einstein College of Medicine, Yeshiva University, United States
y AD Drug Discovery Foundation
z Acumen Pharmaceuticals
aa Northwestern University, United States
ab National Institute of Mental Health
ac Brown University, United States
ad AbbVie
ae University of Washington, United States
af UC San Diego, United States
ag University of London, United Kingdom
ah UCLA, School of Medicine
ai University of Michigan, United States
aj University of Utah, United States
ak Banner Alzheimer’s Institute, United States
al UC Irvine, United States
am Johns Hopkins University, United States
an Richard Frank Consulting
ao National Institute on Aging
Abstract
Objective To determine whether transcriptional risk scores (TRSs), a summation of polarized expression levels of functional genes, reflect the risk of Alzheimer disease (AD). Methods Blood transcriptome data were from Caucasian participants, which included AD, mild cognitive impairment, and cognitively normal controls (CN) in the Alzheimer’s Disease Neuroimaging Initiative (ADNI, n = 661) and AddNeuroMed (n = 674) cohorts. To calculate TRSs, we selected functional genes that were expressed under the control of the AD risk loci and were identified as being responsible for AD by using Bayesian colocalization and mendelian randomization methods. Regression was used to investigate the association of the TRS with diagnosis (AD vs CN) and MRI biomarkers (entorhinal thickness and hippocampal volume). Regression was also used to evaluate whether expression of each functional gene was associated with AD diagnosis. Results The TRS was significantly associated with AD diagnosis, hippocampal volume, and entorhinal cortical thickness in the ADNI. The association of the TRS with AD diagnosis and entorhinal cortical thickness was also replicated in AddNeuroMed. Among functional genes identified to calculate the TRS, CD33 and PILRA were significantly upregulated, and TRAPPC6A was significantly downregulated in patients with AD compared with CN, all of which were identified in the ADNI and replicated in AddNeuroMed. Conclusions The blood-based TRS is significantly associated with AD diagnosis and neuroimaging biomarkers. In blood, CD33 and PILRA were known to be associated with uptake of β-amyloid and herpes simplex virus 1 infection, respectively, both of which may play a role in the pathogenesis of AD. Classification of evidence The study is rated Class III because of the case control design and the risk of spectrum bias. Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.
Funding details
National Institute on AgingNIA
Takeda Pharmaceutical Company
GE Healthcare
Eli Lilly and Company
H. Lundbeck A/S
U.S. Department of DefenseDODW81XWH-14-2-0151
Merck
Johnson and Johnson Pharmaceutical Research and DevelopmentJ&JPRD
University of Southern CaliforniaUSC
National Institute on AgingNIAP30 AG10133, R03 AG054936, R01 AG19771, R01 LM011360
U.S. Department of DefenseDODW81XWH-12-2-0012
Servier
Genentech
South London and Maudsley NHS Foundation Trust
Indiana Clinical and Translational Sciences InstituteCTSI
Coins for Alzheimer’s Research TrustCART
Alzheimer’s Drug Discovery FoundationADDF
2020R1C1C1013718
Pfizer
National Institute of Biomedical Imaging and BioengineeringNIBIB
BioClinica
Bristol-Myers SquibbBMS
Novartis Pharmaceuticals CorporationNPC
Eisai Incorporated
Alzheimer’s Disease Neuroimaging InitiativeADNI
AbbVie
Fujirebio US
Janssen Alzheimer Immunotherapy Research And Development
National Center for Advancing Translational SciencesNCATSUL1 TR001108, K01 AG049050
National Institutes of HealthNIHU01 AG024904
U.S. National Library of MedicineNLMR01 LM012535
National Institute of General Medical SciencesNIGMSP50GM115318
Biogen
Northern California Institute for Research and EducationNCIRE
Alzheimer’s Disease Neuroimaging InitiativeADNI
Alzheimer’s AssociationAA
IXICO
National Research Foundation of KoreaNRF
Document Type: Article
Publication Stage: Final
Source: Scopus
“The Comprehensive Aphasia Test in Hungarian (CAT-H – új eljárás az afázia magyar nyelvû diagnosztikájában)” (2020) Ideggyogyaszati Szemle
The Comprehensive Aphasia Test in Hungarian [CAT-H – új eljárás az afázia magyar nyelvû diagnosztikájában]
(2020) Ideggyogyaszati Szemle, 73 (11-12), pp. 405-416.
Zakariás, L.a b c , Rózsa, S.d , Lukács, Á.c e
a Eötvös Loránd Tudományegyetem, Bárczi Gusztáv Gyógypedagógiai KarBudapest, Hungary
b Országos Orvosi Rehabilitációs IntézetBudapest, Hungary
c Budapest, Hungary
d Washington University, School of Medicine, Department of Psychiatry, St. Louis, United States
e Budapesti Mûszaki és Gazdaságtudományi Egyetem, Kognitív Tudományi TanszékBudapest, Hungary
Abstract
Background and purpose: In this paper we present the Comprehensive Aphasia Test-Hungarian (CAT-H; Zakariás and Lukács, in preparation), an assessment tool newly adapted to Hungarian, currently under standardisation. The test is suitable for the assessment of an acquired language disorder, post-stroke aphasia. The aims of this paper are to present 1) the main characteristics of the test, its areas of application, and the process of the Hungarian adaptation and standardisation, 2) the first results from a sample of Hungarian people with aphasia and healthy controls. Methods: Ninety-nine people with aphasia, mostly with unilateral, left hemisphere stroke, and 19 neurologically intact control participants were administered the CAT-H. In addition, we developed a questionnaire assessing demographic and clinical information. The CAT-H consists of two parts, a Cognitive Screening Test and a Language Test. Results: People with aphasia performed significantly worse than the control group in all language and almost all cognitive subtests of the CAT-H. Consistent with our expectations, the control group performed close to ceiling in all subtests, whereas people with aphasia exhibited great individual variability both in the language and the cognitive subtests. In addition, we found that age, time post-onset, and type of stroke were associated with cognitive and linguistic abilities measured by the CAT-H. Conclusion: Our results and our experiences clearly show that the CAT-H provides a comprehensive profile of a person’s impaired and intact language abilities and can be used to monitor language recovery as well as to screen for basic cognitive deficits in aphasia. We hope that the CAT-H will be a unique resource for rehabilitation professionals and aphasia researchers in aphasia assessment and diagnostics in Hungary.
Background and purpose: A tanulmányban egy újonnan adaptált, jelenleg sztenderdizáció alatt álló logopédiai vizsgálóeljárást, a Comprehensive Aphasia Test magyar változatát (CAT-H; Zakariás & Lukács, elôkészületben) mutatjuk be. A CAT-H a stroke következtében kialakuló szerzett nyelvi zavarok, az afáziák vizsgálatára alkalmas. A tanulmány célja a teszt fôbb jellemzôinek, alkalmazási területeinek, a magyar adaptáció és sztenderdizáció folyamatának, valamint az afáziás személyek tesztben nyújtott teljesítményének bemutatása és egészséges kontrollcsoporttal való összehasonlítása. Methods: Kutatásunkban 99, többségében egyoldali, bal féltekei stroke utáni afáziát mutató személy és 19, neurológiai kórtörténettel nem rendelkezô kontrollszemély vett részt. A vizsgálati személyekkel a klinikai gyakorlatban használatos tesztek mellett a CAT-H battériát vettük fel, amit egy általunk összeállított demográfiai és klinikai kérdôívvel egészítettünk ki. A CAT-H két részbôl, egy kognitív szûrôvizsgálatból és egy átfogó nyelvi tesztbôl áll. Results: Az afáziás csoport teljesítménye valamennyi nyelvi és szinte az összes kognitív területen jelentôsen elmaradt az egészséges kontrollcsoportétól. Várakozásainkkal összhangban a kontrollcsoport plafonközeli teljesítményt nyújtott valamennyi területen, míg az afáziás csoportra nagymértékû egyéni variabilitás volt jellemzô a nyelvi és a kognitív szubtesztekben egyaránt. Kapcsolatot találtunk az életkor, az agyi történés óta eltelt idô és a stroke típusa, valamint a teszttel mérhetô egyes kognitív és nyelvi képességek között. Conclusion: Eredményeink és elôzetes tapasztalataink szerint a teszt alkalmas a nyelvi profil feltárására, a nyelvi képességekben történô változások nyomonkövetésére és a kognitív alapképességek zavarainak szûrésére afáziában. Reményeink szerint a teszt sokoldalú felhasználhatóságának köszönhetôen egyedülálló módon fogja segíteni az afázia hazai diagnosztikáját, az afáziás személyek ellátásában és rehabilitációjában dolgozó szakemberek, valamint az afáziakutatók munkáját.
Author Keywords
aphasia; aphasia battery; assessment; cognitive and linguistic abilities; stroke
Document Type: Article
Publication Stage: Final
Source: Scopus
“The changing landscape of alcohol use disorder and problem drinking in the USA: implications for primary care” (2020) Family Practice
The changing landscape of alcohol use disorder and problem drinking in the USA: implications for primary care
(2020) Family Practice, 37 (6), pp. 870-872.
Grucza, R.A.a b , Bello-Kottenstette, J.K.a , Mintz, C.M.c , Borodovsky, J.T.c
a Department of Family and Community Medicine, St. Louis, MO, USA
b Center for Health Outcomes Research, Saint Louis University, St. Louis, MO, USA
c Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
Document Type: Article
Publication Stage: Final
Source: Scopus
“A Critical Review of Ultra-Short-Term Heart Rate Variability Norms Research” (2020) Frontiers in Neuroscience
A Critical Review of Ultra-Short-Term Heart Rate Variability Norms Research
(2020) Frontiers in Neuroscience, 14, art. no. 594880, .
Shaffer, F.a , Meehan, Z.M.b , Zerr, C.L.c
a Center for Applied Psychophysiology, Truman State University, Kirksville, MO, United States
b Department of Psychological and Brain Sciences, University of Delaware, Newark, DE, United States
c Department of Psychological and Brain Sciences, Washington University in St. Louis, St. LouisMO, United States
Abstract
Heart rate variability (HRV) is the fluctuation in time between successive heartbeats and is defined by interbeat intervals. Researchers have shown that short-term (∼5-min) and long-term (≥24-h) HRV measurements are associated with adaptability, health, mobilization, and use of limited regulatory resources, and performance. Long-term HRV recordings predict health outcomes heart attack, stroke, and all-cause mortality. Despite the prognostic value of long-term HRV assessment, it has not been broadly integrated into mainstream medical care or personal health monitoring. Although short-term HRV measurement does not require ambulatory monitoring and the cost of long-term assessment, it is underutilized in medical care. Among the diverse reasons for the slow adoption of short-term HRV measurement is its prohibitive time cost (∼5 min). Researchers have addressed this issue by investigating the criterion validity of ultra-short-term (UST) HRV measurements of less than 5-min duration compared with short-term recordings. The criterion validity of a method indicates that a novel measurement procedure produces comparable results to a currently validated measurement tool. We evaluated 28 studies that reported UST HRV features with a minimum of 20 participants; of these 17 did not investigate criterion validity and 8 primarily used correlational and/or group difference criteria. The correlational and group difference criteria were insufficient because they did not control for measurement bias. Only three studies used a limits of agreement (LOA) criterion that specified a priori an acceptable difference between novel and validated values in absolute units. Whereas the selection of rigorous criterion validity methods is essential, researchers also need to address such issues as acceptable measurement bias and control of artifacts. UST measurements are proxies of proxies. They seek to replace short-term values which, in turn, attempt to estimate long-term metrics. Further adoption of UST HRV measurements requires compelling evidence that these metrics can forecast real-world health or performance outcomes. Furthermore, a single false heartbeat can dramatically alter HRV metrics. UST measurement solutions must automatically edit artifactual interbeat interval values otherwise HRV measurements will be invalid. These are the formidable challenges that must be addressed before HRV monitoring can be accepted for widespread use in medicine and personal health care. © Copyright © 2020 Shaffer, Meehan and Zerr.
Author Keywords
biofeedback; Bland–Altman limits of agreement; criterion validity; heart rate variability; norms; Pearson product-moment correlation coefficient; predictive validity; reliability
Document Type: Review
Publication Stage: Final
Source: Scopus
“Implementation strategies for digital mental health interventions in health care settings” (2020) The American Psychologist
Implementation strategies for digital mental health interventions in health care settings
(2020) The American Psychologist, 75 (8), pp. 1080-1092.
Graham, A.K.a , Lattie, E.G.a , Powell, B.J.b , Lyon, A.R.c , Smith, J.D.d , Schueller, S.M.a , Stadnick, N.A.e , Brown, C.H.d , Mohr, D.C.a
a Center for Behavioral Intervention Technologies, Northwestern University
b Brown School, Washington University in St. Louis
c Department of Psychiatry and Behavioral Sciences, University of Washington
d Center for Prevention Implementation Methodology, Northwestern University
e Department of Psychiatry, University of California, San Diego, Mexico
Abstract
U.S. health care systems are tasked with alleviating the burden of mental health, but are frequently underprepared and lack workforce and resource capacity to deliver services to all in need. Digital mental health interventions (DMHIs) can increase access to evidence-based mental health care. However, DMHIs commonly do not fit into the day-to-day activities of the people who engage with them, resulting in a research-to-practice gap for DMHI implementation. For health care settings, differences between digital and traditional mental health services make alignment and integration challenging. Specialized attention is needed to improve the implementation of DMHIs in health care settings so that these services yield high uptake, engagement, and sustainment. The purpose of this article is to enhance efforts to integrate DMHIs in health care settings by proposing implementation strategies, selected and operationalized based on the discrete strategies established in the Expert Recommendations for Implementing Change project, that align to DMHI-specific barriers in these settings. Guidance is offered in how these strategies can be applied to DMHI implementation across four phases commonly distinguished in implementation science using the Exploration, Preparation, Implementation, Sustainment Framework. Next steps to advance research in this area and improve the research-to-practice gap for implementing DMHIs are recommended. Applying implementation strategies to DMHI implementation will enable psychologists to systematically evaluate this process, which can yield an enhanced understanding of the factors that facilitate implementation success and improve the translation of DMHIs from controlled trials to real-world settings. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
Document Type: Article
Publication Stage: Final
Source: Scopus
“Visual field outcomes in children treated for neurofibromatosis type 1–associated optic pathway gliomas: a multicenter retrospective study” (2020) Journal of AAPOS
Visual field outcomes in children treated for neurofibromatosis type 1–associated optic pathway gliomas: a multicenter retrospective study
(2020) Journal of AAPOS, .
Heidary, G.a , Fisher, M.J.b , Liu, G.T.b , Ferner, R.E.c , Gutmann, D.H.d , Listernick, R.H.e , Kapur, K.a , Loguidice, M.b , Ardern-Holmes, S.L.f , Avery, R.A.b g , Hammond, C.c , Hoffman, R.O.h , Hummel, T.R.i , Kuo, A.h , Reginald, A.j , Ullrich, N.J.a
a Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States
b Children’s Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States
c Guy’s and St. Thomas’ Hospital, London, United Kingdom
d St. Louis Children’s Hospital, Washington University School of Medicine, St. Louis, MO, United States
e Ann & Robert H. Lurie Children’s Hospital of Chicago, Feinberg School of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
f The Children’s Hospital at Westmead, Sydney, Australia
g Children’s National Medical Center, Washington, DC, United States
h Moran Eye Center, University of Utah, Salt Lake City, UT, United States
i Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
j The Hospital for Sick Children, Toronto, ON, Canada
Abstract
Background: Optic pathway gliomas associated with neurofibromatosis type 1 (NF1-OPGs) may adversely affect visual acuity, but data regarding visual field (VF) outcomes after treatment in children are limited. The purpose of this study was to investigate the effects of NF1-OPGs on VF function in a large cohort of children after treatment with chemotherapy. Methods: We performed a retrospective, international, multicenter study of VF outcomes in patients treated with chemotherapy for NF1-OPGs. Results: A total of 25 participants underwent VF testing using formal perimetric techniques. At the end of treatment, 19 participants (76%) had persistent VF deficits. Formal VF testing was available for 16 participants (64%) at initiation and completion of treatment. Of the 16 children who underwent VF testing at initiation and completion of treatment, 7 (44%) showed stability of VF changes, 3 (19%) showed improvement of VF function, and 6 (38%) had worsening of VFs. Improvement or worsening of VF outcome did not always correlate with visual acuity outcome. Posterior tumor location involving the optic tracts and radiations was associated with more frequent and more profound VF defects. Conclusions: In our study cohort, children undergoing initial chemotherapy for NF1-OPGs had a high prevalence of VF loss, which could be independent of visual acuity loss. A larger, prospective study is necessary to fully determine the prevalence of VF loss and the effects of chemotherapy on VF outcomes in children with NF1-OPGs. © 2020 American Association for Pediatric Ophthalmology and Strabismus
Document Type: Article
Publication Stage: Article in Press
Source: Scopus
“Cortical volume abnormalities in posttraumatic stress disorder: an ENIGMA-psychiatric genomics consortium PTSD workgroup mega-analysis” (2020) Molecular Psychiatry
Cortical volume abnormalities in posttraumatic stress disorder: an ENIGMA-psychiatric genomics consortium PTSD workgroup mega-analysis
(2020) Molecular Psychiatry, .
Wang, X.a , Xie, H.b , Chen, T.c , Cotton, A.S.a , Salminen, L.E.d , Logue, M.W.e f , Clarke-Rubright, E.K.g h , Wall, J.b , Dennis, E.L.d i , O’Leary, B.M.a , Abdallah, C.G.j k , Andrew, E.l , Baugh, L.A.m n o , Bomyea, J.p q , Bruce, S.E.r , Bryant, R.s , Choi, K.t , Daniels, J.K.u , Davenport, N.D.v w , Davidson, R.J.x y z , DeBellis, M.aa , deRoon-Cassini, T.ab , Disner, S.G.v w , Fani, N.ac , Fercho, K.A.m n o ad , Fitzgerald, J.ae , Forster, G.L.m af , Frijling, J.L.ag , Geuze, E.ah ai , Gomaa, H.aj , Gordon, E.M.ak , Grupe, D.y , Harpaz-Rotem, I.j k , Haswell, C.C.g h , Herzog, J.I.al , Hofmann, D.am , Hollifield, M.an , Hosseini, B.ao , Hudson, A.R.ap , Ipser, J.aq , Jahanshad, N.d , Jovanovic, T.ar , Kaufman, M.L.as at , King, A.P.au , Koch, S.B.J.ag av , Koerte, I.K.aw ax , Korgaonkar, M.S.ay , Krystal, J.H.j k , Larson, C.az , Lebois, L.A.M.at ba , Levy, I.j bb , Li, G.bc bd , Magnotta, V.A.be , Manthey, A.bf , May, G.bg bh bi bj , McLaughlin, K.A.bk , Mueller, S.C.ap bl , Nawijn, L.ag bm , Nelson, S.M.bg bh bi , Neria, Y.bn bo , Nitschke, J.B.z , Olff, M.ag bp , Olson, E.A.at bq , Peverill, M.br , Luan Phan, K.ao bs bt , Rashid, F.M.d , Ressler, K.at ba , Rosso, I.M.at bq , Sambrook, K.bu , Schmahl, C.al bv , Shenton, M.E.at aw bw bx , Sierk, A.bf by , Simons, J.S.o bz , Simons, R.M.n bz , Sponheim, S.R.v w , Stein, M.B.q ca , Stein, D.J.cb , Stevens, J.S.ac , Straube, T.am , Suarez-Jimenez, B.bn bo , Tamburrino, M.a , Thomopoulos, S.I.d , van der Wee, N.J.A.cc cd , van der Werff, S.J.A.cc cd , van Erp, T.G.M.ce cf , van Rooij, S.J.H.ac , van Zuiden, M.ag , Varkevisser, T.ah ai , Veltman, D.J.bm , Vermeiren, R.R.J.M.cg ch , Walter, H.bf , Wang, L.bd ci , Zhu, Y.bc bd , Zhu, X.bn bo , Thompson, P.M.d , Morey, R.A.g h , Liberzon, I.bj
a Department of Psychiatry, University of Toledo, Toledo, OH, United States
b Department of Neurosciences, University of Toledo, Toledo, OH, United States
c Department of Mathematics and Statistics, University of Toledo, Toledo, OH, United States
d Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, United States
e National Center for PTSD, VA Boston Healthcare System, Boston, MA, United States
f Department of Psychiatry, Boston University School of Medicine, Boston, MA, United States
g Brain Imaging and Analysis Center, Duke University, Durham, NC, United States
h VISN 6 MIRECC, Durham VA Health Care System, Durham, NC, United States
i Department of Neurology, University of Utah, Salt Lake City, UT, United States
j Clinical Neuroscience Division, National Center for PTSD, VA Connecticut Healthcare System, West Haven, CT, United States
k Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
l University of Sydney, Westmead, NSW, Australia
m Division of Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD, United States
n Center for Brain and Behavior Research, University of South Dakota, Vermillion, SD, United States
o Sioux Falls VA Health Care System, Sioux Falls, SD, United States
p Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA, United States
q Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
r Center for Trauma Recovery, Department of Psychological Sciences, University of Missouri-St. Louis, St. Louis, MO, United States
s School of Psychology, University of New South Wales, Sydney, NSW, Australia
t Health Services Research Center, University of California, San Diego, La Jolla, CA, United States
u Department of Clinical Psychology, University of Groningen, Groningen, Netherlands
v Minneapolis VA Health Care System, Minneapolis, MN, United States
w Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States
x Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI, United States
y Department of Psychology, University of Wisconsin-Madison, Madison, WI, United States
z Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, United States
aa Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, United States
ab Department of Surgery, Division of Trauma & Acute Care Surgery, Medical College of Wisconsin, Milwaukee, WI, United States
ac Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States
ad Civil Aerospace Medical Institute, US Federal Aviation Administration, Oklahoma City, OK, United States
ae Department of Psychology, Marquette University, Milwaukee, WI, United States
af Brain Health Research Centre, Department of Anatomy, University of Otago, Dunedin, New Zealand
ag Department of Psychiatry, Amsterdam University Medical Centers, Location Academic Medical Center, Amsterdam Neuroscience, University of Amsterdam, Amsterdam, Netherlands
ah Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, Netherlands
ai Brain Research and Innovation Centre, Ministry of Defence, Utrecht, Netherlands
aj Department of Psychiatry and Behavioral Health, Penn State College of Medicine, Hershey, PA, United States
ak Department of Radiology, Washington University School of Medicine, St. Louis, MO, United States
al Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
am Institute of Medical Psychology and Systems Neuroscience, University of Münster, Münster, Germany
an Program for Traumatic Stress, Tibor Rubin VA Medical Center, Long Beach, CA, United States
ao Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States
ap Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
aq Department of Psychiatry, University of Cape Town, Cape Town, South Africa
ar Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, United States
as Division of Women’s Mental Health, McLean Hospital, Belmont, MA, United States
at Department of Psychiatry, Harvard Medical School, Boston, MA, United States
au Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States
av Donders Institute for Brain, Cognition and Behavior, Centre for Cognitive Neuroimaging, Radboud University Nijmegen, Nijmegen, Netherlands
aw Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Boston, MA, United States
ax Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
ay Brain Dynamics Centre, Westmead Institute of Medical Research, University of Sydney, Westmead, NSW, Australia
az Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, United States
ba Division of Depression and Anxiety Disorders, McLean Hospital, Belmont, MA, United States
bb Department of Comparative Medicine, Yale University School of Medicine, New Haven, CT, United States
bc Institute of Psychology, Chinese Academy of Sciences, Beijing, China
bd Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
be Departments of Radiology, Psychiatry, and Biomedical Engineering, University of Iowa, Iowa City, IA, United States
bf Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
bg VISN 17 Center of Excellence for Research on Returning War Veterans, Doris Miller VA Medical Center, Waco, TX, United States
bh Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, United States
bi Department of Psychology and Neuroscience, Baylor University, Waco, TX, United States
bj Department of Psychiatry and Behavioral Science, Texas A&M University College of Medicine, College Station, TX, United States
bk Department of Psychology, Harvard University, Boston, MA, United States
bl Department of Personality, Psychological Assessment and Treatment, University of Deusto, Bilbao, Spain
bm Department of Psychiatry, Amsterdam University Medical Centers, Location VU University Medical Center, VU University, Amsterdam, Netherlands
bn Department of Psychiatry, Columbia University Medical Center, New York, NY, United States
bo New York State Psychiatric Institute, New York, NY, United States
bp ARQ National Psychotrauma Centrum, Diemen, Netherlands
bq Center for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA, United States
br Department of Psychology, University of Washington, Seattle, WA, United States
bs The Ohio State University Wexner Medical Center, Columbus, OH, United States
bt Mental Health Service Line, Jesse Brown VA Medical Center, Chicago, IL, United States
bu Department of Radiology, University of Washington, Seattle, WA, United States
bv Department of Psychiatry, University of Western Ontario, London, ON, Canada
bw Department of Psychiatry, VA Boston Healthcare System, Brockton, MA, United States
bx Department of Radiology, Harvard Medical School, Boston, MA, United States
by Institute of Cognitive Neuroscience, University College London, London, United Kingdom
bz Department of Psychology, University of South Dakota, Vermillion, SD, United States
ca Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, United States
cb SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
cc Department of Psychiatry, Leiden University Medical Center, Leiden, Netherlands
cd Leiden Institute for Brain and Cognition, Leiden, Netherlands
ce Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, United States
cf Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, United States
cg Child and Adolescent Psychiatry, Leiden University Medical Center, Leiden, Netherlands
ch Youz-Parnassia Group, Leiden, Netherlands
ci Laboratory for Traumatic Stress Studies, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
Abstract
Studies of posttraumatic stress disorder (PTSD) report volume abnormalities in multiple regions of the cerebral cortex. However, findings for many regions, particularly regions outside commonly studied emotion-related prefrontal, insular, and limbic regions, are inconsistent and tentative. Also, few studies address the possibility that PTSD abnormalities may be confounded by comorbid depression. A mega-analysis investigating all cortical regions in a large sample of PTSD and control subjects can potentially provide new insight into these issues. Given this perspective, our group aggregated regional volumes data of 68 cortical regions across both hemispheres from 1379 PTSD patients to 2192 controls without PTSD after data were processed by 32 international laboratories using ENIGMA standardized procedures. We examined whether regional cortical volumes were different in PTSD vs. controls, were associated with posttraumatic stress symptom (PTSS) severity, or were affected by comorbid depression. Volumes of left and right lateral orbitofrontal gyri (LOFG), left superior temporal gyrus, and right insular, lingual and superior parietal gyri were significantly smaller, on average, in PTSD patients than controls (standardized coefficients = −0.111 to −0.068, FDR corrected P values < 0.039) and were significantly negatively correlated with PTSS severity. After adjusting for depression symptoms, the PTSD findings in left and right LOFG remained significant. These findings indicate that cortical volumes in PTSD patients are smaller in prefrontal regulatory regions, as well as in broader emotion and sensory processing cortical regions. © 2020, The Author(s), under exclusive licence to Springer Nature Limited.
Funding details
Yale Center for Clinical Investigation, Yale School of MedicineYCCI, YSM
Congressionally Directed Medical Research ProgramsCDMRPW81XWH-08–2–0038, CX001600 VA CDA
U.S. Department of DefenseDODW81XWH08-2-0159, W81XWH-12-2-0012, F32MH109274, W81XWH-10-1-0925
R01MH117601, R01AA12479, P41EB015922, R01MH110483, R01MH096987, R01MH116147, P30HD003352, R01MH61744, R01MH105535, R01MH111671, R01MH103291, R01AG059874, R01MH043454, R01MH105355
National Institute of Child Health and Human DevelopmentNICHDP30-HD003352
National Health and Medical Research CouncilNHMRC1073041
Deutsche ForschungsgemeinschaftDFGWA 1539/8-2, DA 1222/4-1
Deutsche ForschungsgemeinschaftDFGK01MH118428, C06, HD085850, K99NS096116, K23MH090366-01, HD071982, K24MH71434, K24DA028773
National Institute on Alcohol Abuse and AlcoholismNIAAAP50
110614
MH101380, MH098212, MH071537, MJFF 14848, L30MH114379, M01RR00039
40-00812-98-10041
National Center for Advancing Translational SciencesNCATS
BOF 01J05415
Dana Foundation
UL1TR000454, UL1TR000153
1IK2RX000709, 1K1RX002325, 01RX000622, 1K2RX002922, 1IK2CX001680
Institute for Clinical and Translational Research, University of Wisconsin, MadisonUW ICTR
Biogen
Document Type: Article
Publication Stage: Article in Press
Source: Scopus
“Traffic noise exposure, cognitive decline, and amyloid-beta pathology in an AD mouse model” (2020) Synapse
Traffic noise exposure, cognitive decline, and amyloid-beta pathology in an AD mouse model
(2020) Synapse, .
Karem, H.a , Mehla, J.b , Kolb, B.E.a , Mohajerani, M.H.a
a Department of Neuroscience, Canadian Centre for Behavioural Neuroscience, University of Lethbridge, Lethbridge, AB, Canada
b Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO, United States
Abstract
Concerns are growing that exposure to environmental pollutants, such as traffic noise, might cause cognitive impairments and predispose individuals toward the development of Alzheimer’s disease (AD) dementia. In this study in a knock-in mouse model of AD, we investigated how chronic traffic noise exposure (CTNE) impacts cognitive performance and amyloid-beta (Aβ) pathology. A group of APPNL-G-F/NL-G-F mice was exposed to CTNE (70 dBA, 8 hr/day for 1 month) and compared with nonexposed counterparts. Following CTNE, an increase in hypothalamic–pituitary–adrenal (HPA) axis responsivity was observed by corticosterone assay of the blood. One month after CTNE, the CTNE group demonstrated impairments in cognitive and motor functions, and indications of anxiety-like behavior, relative to the control animals. The noise-exposed group also showed elevated Aβ aggregation, as inferred by a greater number of plaques and larger average plaque size in various regions of the brain, including regions involved in stress regulation. The results support that noise-associated dysregulation of the neuroendocrine system as a potential risk factor for developing cognitive impairment and Aβ pathology, which should be further investigated in human studies. © 2020 Wiley Periodicals, Inc.
Author Keywords
Alzheimer’s disease; amyloid-beta; cognitive impairment; corticosterone; HPA-axis; noise stress; traffic noise
Document Type: Article
Publication Stage: Article in Press
Source: Scopus
“Application of a glycinated bile acid biomarker for diagnosis and assessment of response to treatment in Niemann-pick disease type C1” (2020) Molecular Genetics and Metabolism
Application of a glycinated bile acid biomarker for diagnosis and assessment of response to treatment in Niemann-pick disease type C1
(2020) Molecular Genetics and Metabolism, . Cited 1 time.
Sidhu, R.a , Kell, P.a , Dietzen, D.J.b , Farhat, N.Y.c , Do, A.N.D.c , Porter, F.D.c , Berry-Kravis, E.d , Reunert, J.e , Marquardt, T.e , Giugliani, R.f , Lourenço, C.M.g , Wang, R.Y.h i , Movsesyan, N.j , Plummer, E.k , Schaffer, J.E.a , Ory, D.S.a , Jiang, X.a
a Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, United States
b Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO 63110, United States
c Section on Molecular Dysmorphology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, DHHS, Bethesda, MD 20892, United States
d Rush University Medical Center, Chicago, IL 60612, United States
e Klinik und Poliklinik für Kinder- und Jugendmedizin – Allgemeine Pädiatrie, Universitätsklinikum Münster, Albert-Schweitzer-Campus 1, Gebäude A1, Münster, 48149, Germany
f Department of Genetics, UFRGS, Medical Genetics Service, HCPA, BioDiscovery Laboratory, HCPA, Hospital de Clínicas de Porto Alegre, National Institute of Population Medical Genetics – INAGEMP, Porto Alegre, RS 90035-903, Brazil
g Faculdade de Medicina – Centro Universitario Estácio de Ribeirão Preto, Rua Abrahão Issa Halach, 980 – Ribeirânia, Ribeirão Preto, SP, Brazil
h Division of Metabolic Disorders, CHOC Children’s Specialists, Orange, CA 92868, United States
i Department of Pediatrics, University of California-Irvine School of Medicine, Orange, CA 92868, United States
j Research Institute, CHOC Children’s Hospital, Orange, CA 92868, United States
k Asante Pediatric Hematology and Oncology, Medford, OR 97504, United States
Abstract
Niemann-Pick disease type C (NPC) is a neurodegenerative disease in which mutation of NPC1 or NPC2 gene leads to lysosomal accumulation of unesterified cholesterol and sphingolipids. Diagnosis of NPC disease is challenging due to non-specific early symptoms. Biomarker and genetic tests are used as first-line diagnostic tests for NPC. In this study, we developed a plasma test based on N-(3β,5α,6β-trihydroxy-cholan-24-oyl)glycine (TCG) that was markedly increased in the plasma of human NPC1 subjects. The test showed sensitivity of 0.9945 and specificity of 0.9982 to differentiate individuals with NPC1 from NPC1 carriers and controls. Compared to other commonly used biomarkers, cholestane-3β,5α,6β-triol (C-triol) and N-palmitoyl-O-phosphocholine (PPCS, also referred to as lysoSM-509), TCG was equally sensitive for identifying NPC1 but more specific. Unlike C-triol and PPCS, TCG showed excellent stability and no spurious generation of marker in the sample preparation or aging of samples. TCG was also elevated in lysosomal acid lipase deficiency (LALD) and acid sphingomyelinase deficiency (ASMD). Plasma TCG was significantly reduced after intravenous (IV) 2-hydroxypropyl-β-cyclodextrin (HPβCD) treatment. These results demonstrate that plasma TCG was superior to C-triol and PPCS as NPC1 diagnostic biomarker and was able to evaluate the peripheral treatment efficacy of IV HPβCD treatment. © 2020 Elsevier Inc.
Author Keywords
2-hydroxypropyl-β-cyclodextrin; Bile acid; diagnosis; N-(3β,5α,6β-trihydroxy-cholan-24-oyl)glycine; Niemann-Pick disease type C; treatment assessment
Funding details
Eunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNICHD
Ara Parseghian Medical Research FoundationAPMRF
National Niemann-Pick Disease FoundationNNPDF
National Institutes of HealthNIHUL1 TR000448
MDBR-17-124-NPC
National Center for Advancing Translational SciencesNCATS1ZIATR000014
R01 NS081985, U01 HD090845
Document Type: Article
Publication Stage: Article in Press
Source: Scopus
“Relevance of Diagnosed Depression and Antidepressants to PROMIS Depression Scores Among Hand Surgical Patients” (2020) Journal of Hand Surgery
Relevance of Diagnosed Depression and Antidepressants to PROMIS Depression Scores Among Hand Surgical Patients
(2020) Journal of Hand Surgery, .
Cochrane, S.a , Dale, A.M.a , Buckner-Petty, S.a , Sobel, A.D.b , Lippold, B.b , Calfee, R.P.b
a Department of Medicine, Washington University School of Medicine, St. Louis, MO, United States
b Department of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, MO, United States
Abstract
Purpose: We aimed to test the utility of screening for depressive symptoms in the hand surgical office focusing on chances of heightened depressive symptoms in patients with no history of diagnosed depression and by quantifying ongoing depressive symptoms among patients diagnosed with depression accounting for antidepressant use. The clinical importance of this study was predicated on the documented negative association between depressive symptoms and hand surgical outcomes. Methods: This cross-sectional study analyzed 351 patients presenting to a tertiary hand center between April 21, 2016, and November 22, 2017. Adult patients completed self-administered Patient-Reported Outcomes Measurement Information System (PROMIS) Depression computer adaptive tests at registration. Health records were examined for a past medical history of diagnosed depression and whether patients reported current use of prescription antidepressants. Mean PROMIS Depression scores were compared by analysis of variance (groups: no diagnosed depression, depression without medication, depression with medication). Four points represented a clinically relevant difference in PROMIS Depression scores between groups and Depression scores greater than 59.9 were categorized as having heightened depressive symptoms. Results: Sixty-two patients (18%) had been diagnosed with depression. Thirty-four of these patients (55%) reported taking antidepressant medications. The PROMIS Depression scores indicated greater current depressive symptoms among patients with a history of diagnosed depression when not taking antidepressants (11 points worse than unaffected) and also among patients taking antidepressants (7 points worse than unaffected). Heightened depressive symptoms were detected in all groups but were more prevalent among those diagnosed with depression (36% with no medication, 29% with antidepressant medication) compared with unaffected patients (7%). Conclusions: Depression screening for heightened depressive symptoms identifies 1 in 14 patients without diagnosed depression and 1 in 3 patients diagnosed with depression as having currently heightened depressive symptoms. Hand surgeons can use PROMIS Depression screening in all patients and using this to guide referrals for depression treatment to ameliorate one confounder of hand surgical outcomes. Type of study/level of evidence: Symptom prevalence study II. © 2020 American Society for Surgery of the Hand
Author Keywords
antidepressants; Depression; hand; patient-reported outcomes; PROMIS
Document Type: Article
Publication Stage: Article in Press
Source: Scopus
“The relationship between depression, anxiety, and pain interference with therapy referral and utilization among patients with hand conditions” (2020) Journal of Hand Therapy
The relationship between depression, anxiety, and pain interference with therapy referral and utilization among patients with hand conditions
(2020) Journal of Hand Therapy, .
Cochrane, S.K.a , Calfee, R.P.b , Stonner, M.M.c , Dale, A.M.d
a Washington University School of Medicine in St. Louis, Program in Occupational Therapy, St. Louis, MO, United States
b Washington University School of Medicine in Saint Louis, Orthopedic Surgery, Saint Louis, MO, United States
c Washington University School of Medicine in St. Louis, Milliken Hand Rehabilitation Center, Center for Advanced Medicine, St. Louis, MO, United States
d Division of General Medical Sciences, Department of Medicine, Washington University School of Medicine in St. Louis, Saint Louis, MO, United States
Abstract
Introduction: Patients with upper extremity conditions may also experience symptoms of depression, anxiety, and pain that limit functional recovery. Purpose of the Study: This study examined the impact of mental health and pain symptoms on referral rates to therapy and utilization of therapy services to achieve functional recovery among patients with common hand conditions. Study Design: This is a retrospective cohort study of patients from one orthopedic center. Methods: Data extraction provided demographics, the International Classification of Diseases, 10th revision diagnoses, therapy referral, therapy visit counts, treatment goal attainment, and Patient-Reported Outcomes Measurement Information System (PROMIS) Depression, Anxiety, and Pain Interference scores. The chi-square test, t-test, and logistic regression analyses assessed associations between baseline PROMIS depression, anxiety, and pain interference to therapy referral, the number of therapy visits, and goal attainment. Results: Forty-nine percent (172/351) of patients were referred to hand therapy. There was no relationship between three baseline PROMIS scores based on physician referral (t-test P values.32-.67) and no association between PROMIS scores and therapy utilization or goal attainment (Pearson correlation (r): 0.002 to 0.020, P >.05). Referral to therapy was most strongly associated with having a traumatic condition (P <.01). Patients with high depression, anxiety, and pain interference scores on average required one more therapy visit to achieve treatment goals (average visits: 3.7 vs 3.1; 4.1 vs 2.7; 3.4 vs 2.3, respectively). Fewer patients with high depression scores (50%) achieved their long-term goals than patients with low depression scores (69%, P =.20). Conclusions: Patients’ baseline level of depressive symptoms and anxiety do not predict referrals to hand therapy by orthopedic hand surgeons. There is some indication that patients with increased depressive symptoms, anxiety, and pain interference require more therapy with fewer achieving all goals, suggesting that mental health status may affect response to therapy. Therapists may address mental health needs in treatment plans. Future studies should examine if nonreferred patients with depressive symptoms achieve maximal functional recovery. © 2020 Hanley & Belfus
Author Keywords
Clinical course; Functional performance; Mental health; PROMIS; Therapy; Treatment goals
Funding details
National Institutes of HealthNIH
UL1TR002345
National Center for Advancing Translational SciencesNCATS
Document Type: Article
Publication Stage: Article in Press
Source: Scopus
“Associations Between Resting-State Functional Connectivity and a Hierarchical Dimensional Structure of Psychopathology in Middle Childhood” (2020) Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
Associations Between Resting-State Functional Connectivity and a Hierarchical Dimensional Structure of Psychopathology in Middle Childhood
(2020) Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, .
Karcher, N.R.a , Michelini, G.c , Kotov, R.d , Barch, D.M.a b
a Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
b Department of Psychology, Washington University, St. Louis, MO, United States
c Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
d Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, United States
Abstract
Background: Previous research from the Adolescent Brain Cognitive Development (ABCD) Study delineated and validated a hierarchical 5-factor structure with a general psychopathology (p) factor at the apex and 5 specific factors (internalizing, somatoform, detachment, neurodevelopmental, externalizing) using parent-reported child symptoms. The present study is the first to examine associations between dimensions from a hierarchical structure and resting-state functional connectivity (RSFC) networks. Methods: Using 9- to 11-year-old children from the ABCD Study baseline sample, we examined the variance explained by each hierarchical structure level (p-factor, 2-factor, 3-factor, 4-factor, and 5-factor models) in associations with RSFC. Analyses were first conducted in a discovery dataset (n = 3790), and significant associations were examined in a replication dataset (n = 3791). Results: There were robust associations between the p-factor and lower connectivity within the default mode network, although stronger effects emerged for the neurodevelopmental factor. Neurodevelopmental impairments were also related to variation in RSFC networks associated with attention to internal states and external stimuli. Analyses revealed robust associations between the neurodevelopmental dimension and several RSFC metrics, including within the default mode network, between the default mode network with cingulo-opercular and “Other” (unassigned) networks, and between the dorsal attention network with the Other network. Conclusions: The hierarchical structure of psychopathology showed replicable links to RSFC associations in middle childhood. The specific neurodevelopmental dimension showed robust associations with multiple RSFC metrics. These results show the utility of examining associations between intrinsic brain architecture and specific dimensions of psychopathology, revealing associations especially with neurodevelopmental impairments. © 2020 Society of Biological Psychiatry
Author Keywords
Functional connectivity; Hierarchical structure; Neurodevelopmental; p-factor; Psychopathology; Resting-state
Funding details
National Institute on Drug AbuseNIDAU01 DA041120
T32 MH014677, L30 MH120574-01
National Institutes of HealthNIHU01DA041022, U01DA041028, U01DA041025, U01DA041174, U01DA041156, U01DA041093, U01DA041048, U24DA041147, U24DA041123, U01DA041106, U01DA041148, U01DA041134, U01DA041117, U01DA041089, U01DA041120
Document Type: Article
Publication Stage: Article in Press
Source: Scopus
“Labeling Emotional Stimuli in Early Childhood Predicts Neural and Behavioral Indicators of Emotion Regulation in Late Adolescence” (2020) Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
Labeling Emotional Stimuli in Early Childhood Predicts Neural and Behavioral Indicators of Emotion Regulation in Late Adolescence
(2020) Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, .
Elsayed, N.M.a , Vogel, A.C.b , Luby, J.L.b , Barch, D.M.a b c
a Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, United States
b Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, United States
c Department of Radiology, Washington University in St. Louis, St. Louis, MO, United States
Abstract
Background: Effective emotion regulation (ER) may be supported by 1) accurate emotion identification, encoding, and maintenance of emotional states and related brain activity of regions involved in emotional response (i.e., amygdala, ventral/posterior insula) and 2) cognitive processes that implement reframing, supported by activation in cognitive control brain regions (e.g., frontal, insular, and parietal cortices). The purpose of this project was to examine how emotion labeling ability in early childhood is related to ER concurrently and prospectively. Methods: Data from a prospective longitudinal study of youths at risk for depression, including measures of emotion labeling (i.e., Facial Affect Comprehension Evaluation) and ER ability (i.e., Emotion Regulation Checklist) and strategy use (i.e., Cognitive Emotion Regulation Questionnaire, Children’s Response Style Questionnaire), and functional magnetic resonance imaging data during a sadness ER task (N = 139) were examined. Results: Findings from multilevel modeling and linear regression suggested that greater emotion labeling ability of more difficult emotions in early childhood was associated with enhanced parent-reported ER in adolescence, but not with a tendency to engage in adaptive or maladaptive ER strategies. Recognition of fear and surprise predicted greater activation in cortical regions involved in cognitive control during an ER of sadness task, including in the insula, anterior cingulate cortex, dorsal medial prefrontal cortex, and inferior frontal gyrus. Conclusions: These findings suggest that early ability to identify and label difficult facial emotions in early childhood is associated with better ER in adolescence and enhanced activity of cognitive control regions of the brain. © 2020 Society of Biological Psychiatry
Author Keywords
ACC; Cognitive control; dmPFC; Emotion recognition; Emotion regulation
Funding details
National Science FoundationNSFDGE-1745038
National Institutes of HealthNIHR01 MH098454, R01 MH064769-06A1, T32 MH100019-06
Document Type: Article
Publication Stage: Article in Press
Source: Scopus
“Apolipoprotein E: Structural Insights and Links to Alzheimer Disease Pathogenesis” (2020) Neuron
Apolipoprotein E: Structural Insights and Links to Alzheimer Disease Pathogenesis
(2020) Neuron, .
Chen, Y.a b e f g , Strickland, M.R.a b e f , Soranno, A.c d , Holtzman, D.M.a d e
a Department of Neurology, Washington University in St. Louis, St. Louis, MO, United States
b Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO, United States
c Department of Biochemistry and Molecular Biophysics, Washington University in St. Louis, St. Louis, MO, United States
d Center for Science & Engineering of Living Systems, Washington University in St. Louis, St. Louis, MO, United States
e Knight Alzheimer’s Disease Research Center, Washington University in St. Louis, St. Louis, MO, United States
f The Division of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, MO, United States
g Department of Pathology and Immunology, Washington University in St. Louis, St. Louis, MO, United States
Abstract
In this review, Chen, Strickland, and colleagues discuss the historical progression in understanding the structural and molecular properties of ApoE and describe further studies needed. These findings are used to illuminate some of the physiological and pathological consequences of ApoE. © 2020 Elsevier Inc.
Apolipoprotein E (ApoE) is of great interest due to its role as a cholesterol/lipid transporter in the central nervous system (CNS) and as the most influential genetic risk factor for Alzheimer disease (AD). Work over the last four decades has given us important insights into the structure of ApoE and how this might impact the neuropathology and pathogenesis of AD. In this review, we highlight the history and progress in the structural and molecular understanding of ApoE and discuss how these studies on ApoE have illuminated the physiology of ApoE, receptor binding, and interaction with amyloid-β (Aβ). We also identify future areas of study needed to advance our understanding of how ApoE influences neurodegeneration. © 2020 Elsevier Inc.
Author Keywords
AD; Alzheimer disease; Amyloid-β; ApoE; Apolipoprotein E; Aβ; LDLR; low-density lipoprotein receptor
Funding details
Ruth K. Broad Biomedical Research FoundationRKBF
JPB Foundation
Alzheimer’s AssociationAA
Cure Alzheimer’s FundCAF
National Science FoundationNSFDGE-1745038
National Institutes of HealthNIHNS090934, AG062837, AG58518, AG047644
Document Type: Review
Publication Stage: Article in Press
Source: Scopus
“Phenotypic features in MECP2 duplication syndrome: Effects of age” (2020) American Journal of Medical Genetics, Part A
Phenotypic features in MECP2 duplication syndrome: Effects of age
(2020) American Journal of Medical Genetics, Part A, .
Peters, S.U.a , Fu, C.a , Marsh, E.D.b , Benke, T.A.c , Suter, B.d , Skinner, S.A.e , Lieberman, D.N.f , Standridge, S.g , Jones, M.h , Beisang, A.i , Feyma, T.i , Heydeman, P.j , Ryther, R.k , Glaze, D.G.d , Percy, A.K.l , Neul, J.L.a
a Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, United States
b Children’s Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States
c University of Colorado School of Medicine, Aurora, CO, United States
d Baylor College of Medicine, Houston, TX, United States
e Greenwood Genetic Center, Greenwood, SC, United States
f Boston Children’s Hospital, Boston, MA, United States
g Cincinatti Children’s Hospital, Cincinatti, OH, United States
h Oakland Children’s Hospital, Oakland, CA, United States
i Gilette Children’s Specialty Healthcare, Saint Paul, MN, United States
j Rush University Medical Center, Chicago, IL, United States
k Washington University School of Medicine, St. Louis, MO, United States
l University of Alabama at Birmingham, Birmingham, AL, United States
Abstract
Background: MECP2 Duplication syndrome (MDS) is a rare X-linked genomic disorder that is caused by interstitial chromosomal duplications at Xq28 encompassing the MECP2 gene. Although phenotypic features in MDS have been described, there is a limited understanding of the range of severity of these features, and how they evolve with age. Methods: The cross-sectional results of N = 69 participants (ages 6 months-33 years) enrolled in a natural history study of MDS are presented. Clinical severity was assessed using a clinician-report measure as well as a parent-report measure. Data was also gathered related to the top 3 concerns of parents as selected from the most salient symptoms related to MDS. The Child Health Questionnaire was also utilized to obtain parental reports of each child’s quality of life to establish disease burden. Results: The results of linear regression from the clinician-reported measure show that overall clinical severity scores, motor dysfunction, and functional skills are significantly worse with increasing age. Top concerns rated by parents included lack of effective communication, abnormal walking/balance issues, constipation, and seizures. Higher levels of clinical severity were also related to lower physical health quality of life scores as reported by parents. Conclusions: The data suggest that increasing levels of clinical severity are noted with older age, and this is primarily attributable to motor dysfunction, and functional skills. The results provide an important foundation for creating an MDS-specific severity scale highlighting the most important domains to target for treatment trials and will help clinicians and researchers define clinically meaningful changes. © 2020 Wiley Periodicals LLC
Author Keywords
gene duplication; pediatrics; phenotype
Funding details
National Institutes of HealthNIHR01HD084500, U54HD061222
Document Type: Article
Publication Stage: Article in Press
Source: Scopus
“Author Correction: CHD3 helicase domain mutations cause a neurodevelopmental syndrome with macrocephaly and impaired speech and language (Nature Communications, (2018), 9, 1, (4619), 10.1038/s41467-018-06014-6)” (2019) Nature Communications
Author Correction: CHD3 helicase domain mutations cause a neurodevelopmental syndrome with macrocephaly and impaired speech and language (Nature Communications, (2018), 9, 1, (4619), 10.1038/s41467-018-06014-6)
(2019) Nature Communications, 10 (1), art. no. 2079, .
Snijders Blok, L.a b c , Rousseau, J.d , Twist, J.e , Ehresmann, S.d , Takaku, M.e , Venselaar, H.f , Rodan, L.H.g , Nowak, C.B.g , Douglas, J.g , Swoboda, K.J.h , Steeves, M.A.i , Sahai, I.i , Stumpel, C.T.R.M.j , Stegmann, A.P.A.j , Wheeler, P.k , Willing, M.l , Fiala, E.l , Kochhar, A.m , Gibson, W.T.n o , Cohen, A.S.A.n o , Agbahovbe, R.n o , Innes, A.M.p , Au, P.Y.B.p , Rankin, J.q , Anderson, I.J.r , Skinner, S.A.s , Louie, R.J.s , Warren, H.E.s , Afenjar, A.t , Keren, B.u v , Nava, C.u v w , Buratti, J.u , Isapof, A.x , Rodriguez, D.y , Lewandowski, R.z , Propst, J.z , van Essen, T.aa , Choi, M.ab , Lee, S.ab , Chae, J.H.ac , Price, S.ad , Schnur, R.E.ae , Douglas, G.ae , Wentzensen, I.M.ae , Zweier, C.af , Reis, A.af , Bialer, M.G.ag , Moore, C.ag , Koopmans, M.ah , Brilstra, E.H.ah , Monroe, G.R.ah , van Gassen, K.L.I.ah , van Binsbergen, E.ah , Newbury-Ecob, R.ai , Bownass, L.ai , Bader, I.aj , Mayr, J.A.ak , Wortmann, S.B.ak al am , Jakielski, K.J.an , Strand, E.A.ao , Kloth, K.ap , Bierhals, T.ap , McRae, J.F.av , Clayton, S.av , Fitzgerald, T.W.av , Kaplanis, J.av , Prigmore, E.av , Rajan, D.av , Sifrim, A.av , Aitken, S.aw , Akawi, N.av , Alvi, M.ax , Ambridge, K.av , Barrett, D.M.av , Bayzetinova, T.av , Jones, P.av , Jones, W.D.av , King, D.av , Krishnappa, N.av , Mason, L.E.av , Singh, T.av , Tivey, A.R.av , Ahmed, M.ay az ba , Anjum, U.bb , Archer, H.bc bd , Armstrong, R.be , Awada, J.av , Balasubramanian, M.bf , Banka, S.bg , Baralle, D.ay az ba , Barnicoat, A.bh , Batstone, P.bi , Baty, D.bj , Bennett, C.bk , Berg, J.bj , Bernhard, B.bl , Bevan, A.P.av , Bitner-Glindzicz, M.bh , Blair, E.bm , Blyth, M.bk , Bohanna, D.bn , Bourdon, L.bl , Bourn, D.bo , Bradley, L.bp , Brady, A.bl , Brent, S.av , Brewer, C.bq , Brunstrom, K.bh , Bunyan, D.J.ay az ba , Burn, J.bo , Canham, N.bl , Castle, B.bq , Chandler, K.bg , Chatzimichali, E.av , Cilliers, D.bm , Clarke, A.bc bd , Clasper, S.bm , Clayton-Smith, J.bg , Clowes, V.bl , Coates, A.bk , Cole, T.bn , Colgiu, I.av , Collins, A.ay az ba , Collinson, M.N.ay az ba , Connell, F.br , Cooper, N.bn , Cox, H.bn , Cresswell, L.bs , Cross, G.bt , Crow, Y.bg , D’Alessandro, M.bi , Dabir, T.bp , Davidson, R.bu , Davies, S.bc bd , de Vries, D.av , Dean, J.bi , Deshpande, C.br , Devlin, G.bq , Dixit, A.bt , Dobbie, A.bk , Donaldson, A.bv , Donnai, D.bg , Donnelly, D.bp , Donnelly, C.bg , Douglas, A.bw , Douzgou, S.bg , Duncan, A.bu , Eason, J.bt , Ellard, S.bq , Ellis, I.bw , Elmslie, F.bb , Evans, K.bc bd , Everest, S.bq , Fendick, T.br , Fisher, R.bo , Flinter, F.br , Foulds, N.ay az ba , Fry, A.bc bd , Fryer, A.bw , Gardiner, C.bu , Gaunt, L.bg , Ghali, N.bl , Gibbons, R.bm , Gill, H.bx , Goodship, J.bo , Goudie, D.bj , Gray, E.av , Green, A.bx , Greene, P.av , Greenhalgh, L.bw , Gribble, S.av , Harrison, R.bt , Harrison, L.ay az ba , Harrison, V.ay az ba , Hawkins, R.bv , He, L.av , Hellens, S.bo , Henderson, A.bo , Hewitt, S.bk , Hildyard, L.av , Hobson, E.bk , Holden, S.be , Holder, M.bl , Holder, S.bl , Hollingsworth, G.bh , Homfray, T.bb , Humphreys, M.bp , Hurst, J.bh , Hutton, B.av , Ingram, S.bf , Irving, M.br , Islam, L.bn , Jackson, A.aw , Jarvis, J.bn , Jenkins, L.bh , Johnson, D.bf , Jones, E.bg , Josifova, D.br , Joss, S.bu , Kaemba, B.bs , Kazembe, S.bs , Kelsell, R.av , Kerr, B.bg , Kingston, H.bg , Kini, U.bm , Kinning, E.bu , Kirby, G.bn , Kirk, C.bp , Kivuva, E.bq , Kraus, A.bk , Kumar, D.bc bd , Kumar, V.K.A.bh , Lachlan, K.ay az ba , Lam, W.aw , Lampe, A.aw , Langman, C.br , Lees, M.bh , Lim, D.bn , Longman, C.bu , Lowther, G.bu , Lynch, S.A.bx , Magee, A.bp , Maher, E.aw , Male, A.bh , Mansour, S.bb , Marks, K.bb , Martin, K.bt , Maye, U.bw , McCann, E.by , McConnell, V.bp , McEntagart, M.bb , McGowan, R.bi , McKay, K.bn , McKee, S.bp , McMullan, D.J.bn , McNerlan, S.bp , McWilliam, C.bi , Mehta, S.be , Metcalfe, K.bg , Middleton, A.av , Miedzybrodzka, Z.bi , Miles, E.bg , Mohammed, S.br , Montgomery, T.bo , Moore, D.aw , Morgan, S.bc bd , Morton, J.bn , Mugalaasi, H.bc bd , Murday, V.bu , Murphy, H.bg , Naik, S.bn , Nemeth, A.bm , Nevitt, L.bf , Norman, A.bn , O’Shea, R.bx , Ogilvie, C.br , Ong, K.-R.bn , Park, S.-M.be , Parker, M.J.bf , Patel, C.bn , Paterson, J.be , Payne, S.bl , Perrett, D.av , Phipps, J.bm , Pilz, D.T.bu , Pollard, M.av , Pottinger, C.by , Poulton, J.bm , Pratt, N.bj , Prescott, K.bk , Pridham, A.bm , Procter, A.bc bd , Purnell, H.bm , Quarrell, O.bf , Ragge, N.bn , Rahbari, R.av , Randall, J.av , Raymond, L.be , Rice, D.bj , Robert, L.br , Roberts, E.bv , Roberts, J.be , Roberts, P.bk , Roberts, G.bw , Ross, A.bi , Rosser, E.bh , Saggar, A.bb , Samant, S.bi , Sampson, J.bc bd , Sandford, R.be , Sarkar, A.bt , Schweiger, S.bj , Scott, R.bh , Scurr, I.bv , Selby, A.bt , Seller, A.bm , Sequeira, C.bl , Shannon, N.bt , Sharif, S.bn , Shaw-Smith, C.bq , Shearing, E.bf , Shears, D.bm , Sheridan, E.bk , Simonic, I.be , Singzon, R.bl , Skitt, Z.bg , Smith, A.bk , Smith, K.bf , Smithson, S.bv , Sneddon, L.bo , Splitt, M.bo , Squires, M.bk , Stewart, F.bp , Stewart, H.bm , Straub, V.bo , Suri, M.bt , Sutton, V.bw , Swaminathan, G.J.av , Sweeney, E.bw , Tatton-Brown, K.bb , Taylor, C.e , Taylor, R.bb , Tein, M.bn , Temple, I.K.ay az ba , Thomson, J.bk , Tischkowitz, M.be , Tomkins, S.bv , Torokwa, A.ay az ba , Treacy, B.be , Turner, C.bq , Turnpenny, P.bq , Tysoe, C.bq , Vandersteen, A.bl , Varghese, V.bc bd , Vasudevan, P.bs , Vijayarangakannan, P.av , Vogt, J.bn , Wakeling, E.bl , Wallwark, S.be , Waters, J.bh , Weber, A.bw , Wellesley, D.ay az ba , Whiteford, M.bu , Widaa, S.av , Wilcox, S.be , Wilkinson, E.av , Williams, D.bn , Williams, N.bu , Wilson, L.bh , Woods, G.be , Wragg, C.bv , Wright, M.bo , Yates, L.bo , Yau, M.br , Nellåker, C.bz ca cb , Parker, M.cc , Firth, H.V.av be , Wright, C.F.av , FitzPatrick, D.R.av aw , Barrett, J.C.av , Hurles, M.E.av , Roberts, J.D.e , Petrovich, R.M.e , Machida, S.aq , Kurumizaka, H.aq , Lelieveld, S.a , Pfundt, R.a , Jansen, S.a c , Deriziotis, P.b , Faivre, L.ar as , Thevenon, J.ar as , Assoum, M.ar as , Shriberg, L.at , Kleefstra, T.a c , Brunner, H.G.a c j , Wade, P.A.e , Fisher, S.E.b c , Campeau, P.M.d au , The DDD studycd
a Department of Human Genetics, Radboud University Medical Center, Nijmegen, 6500HB, Netherlands
b Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, 6500AH, Netherlands
c Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, 6500HE, Netherlands
d CHU Sainte-Justine Research Center, Montreal, QC H3T 1C5, Canada
e National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, United States
f Centre for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, 6500HB, Netherlands
g Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA 02115, United States
h Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, United States
i Department of Medical Genetics, Massachusetts General Hospital, Boston, MA 02114, United States
j Department of Clinical Genetics and GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, 6202AZ, Netherlands
k Nemours Childrens Clinic, Orlando, FL 32827, United States
l Division of Genetics and Genomic Medicine, Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, United States
m Valley Children’s Hospital, Madera, CA 93636, United States
n British Columbia Children’s Hospital Research Institute, Vancouver, BC V5Z 4H4, Canada
o Department of Medical Genetics, University of British Columbia, Vancouver, BC V6H 3N1, Canada
p Department of Medical Genetics and Alberta Children’s Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
q Department of Clinical Genetics, Royal Devon and Exeter NHS Foundation Trust (Heavitree), Exeter, EX2 5DW, United Kingdom
r Division of Genetics, Department of Medicine, University of Tennessee Medical Center, Knoxville, TN 37920, United States
s Greenwood Genetic Center, Greenwood, SC 29646, United States
t GRC ConCer-LD, Sorbonne Universités, UPMC Univ Paris ; Department of Medical Genetics and Centre de Référence Malformations et maladies congénitales du cervelet et déficiences intellectuelles de causes rares, Armand Trousseau Hospital, GHUEP, AP-HP, Paris, 75012, France
u AP-HP, Hôpital de la Pitié-Salpêtrière, Département de Génétique, Paris, 75013, France
v Groupe de Recherche Clinique (GRC) ‘déficience intellectuelle et autisme’ UPMC, Paris, 75005, France
w INSERM, U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Sorbonne Universités, UPMC Univ Paris 06 UMR S 1127, Paris, 75013, France
x GRC ConCer-LD, Sorbonne Universités, UPMC Univ Paris 06; Department Child Neurology and Reference Center for Neuromuscular Diseases “Nord/Est/Ile-de-France”, FILNEMUS, Armand Trousseau Hospital, GHUEP, AP-HP, Paris, 75012, France
y GRC ConCer-LD, Sorbonne Universités, UPMC Univ Paris 06; Department of Child Neurology and National Reference Center for Neurogenetic Disorders, Armand Trousseau Hospital, GHUEP, AP-HP, INSERM U1141, Paris, 75012, France
z Clinical Genetics Division, Virginia Commonwealth University Health System, Richmond, VA 23298, United States
aa Clinical Genetics Department, University Medical Center Groningen, Groningen, 9700RB, Netherlands
ab Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 08826, South Korea
ac Department of Pediatrics, Seoul National University College of Medicine, Seoul National University Children’s Hospital, Seoul, 08826, South Korea
ad Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 7HE, United Kingdom
ae GeneDx, Gaithersburg, MD 20877, United States
af Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, 91054, Germany
ag Northwell Health, Division of Medical Genetics and Genomics, Great Neck, NY 11021, United States
ah Department of Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, 3508AB, Netherlands
ai University Hospitals Bristol, Department of Clinical Genetics, St Michael’s Hospital, Bristol, BS2 8EG, United Kingdom
aj Department of Clinical Genetics, University Children’s Hospital, Paracelsus Medical University, Salzburg, A-5020, Austria
ak Department of Pediatrics, Salzburger Landeskliniken and Paracelsus Medical University, Salzburg, A-5020, Austria
al Institute of Human Genetics, Technische Universität München, Munich, 81675, Germany
am Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, 85764, Germany
an Communication Sciences and Disorders, Augustana College, Rock Island, IL 61201, United States
ao Department of Neurology, Mayo Clinic, Rochester, MN 55905, United States
ap Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, 20246, Germany
aq Waseda University, Tokyo, 169-8050, Japan
ar Equipe Génétique des Anomalies du Développement, Université de Bourgogne-Franche Comté, Dijon, 21070, France
as Centre de Génétique et Centre de Référence Anomalies du Développement et Syndromes Malformatifs, FHU TRANSLAD, Hôpital d’Enfants, CHU Dijon et Université de Bourgogne, Dijon, 21079, France
at Waisman Center, Phonology Project, Madison, WI 53705-2280, United States
au Sainte-Justine Hospital, University of Montreal, Montreal, QC H3T 1C5, Canada
av Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, United Kingdom
aw MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, United Kingdom
ax Department of Engineering Science, University of Oxford, Parks Road, Oxford, OX1 3PJ, United Kingdom
ay Wessex Clinical Genetics Service, University Hospital Southampton, Princess Anne Hospital, Coxford Road, Southampton, SO16 5YA, United Kingdom
az Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury District Hospital, Odstock Road, Salisbury, Wiltshire SP2 8BJ, United Kingdom
ba Faculty of Medicine, University of Southampton, Building 85, Life Sciences Building, Highfield Campus, Southampton, SO17 1BJ, United Kingdom
bb South West Thames Regional Genetics Centre, St George’s Healthcare NHS Trust, St George’s, University of London, Cranmer Terrace, London, SW17 0RE, United Kingdom
bc Institute of Medical Genetics, University Hospital of Wales, Heath Park, Cardiff, CF14 4XW, United Kingdom
bd Department of Clinical Genetics, Block 12, Glan Clwyd Hospital, Rhyl, Denbighshire LL18 5UJ, United Kingdom
be East Anglian Medical Genetics Service, Box 134, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, United Kingdom
bf Sheffield Regional Genetics Services, Sheffield Children’s NHS Trust, Western Bank, Sheffield, S10 2TH, United Kingdom
bg Manchester Centre for Genomic Medicine, St Mary’s Hospital, Central Manchester University Hospitals NHSFoundation Trust, Manchester Academic Health Science Centre, Manchester, M13 9WL, United Kingdom
bh North East Thames Regional Genetics Service, Great Ormond Street Hospital for Children NHS Foundation Trust, Great Ormond Street Hospital, Great Ormond Street, London, WC1N3JH, United Kingdom
bi North of Scotland Regional Genetics Service, NHS Grampian, Department of Medical Genetics Medical School, Foresterhill, Aberdeen, AB25 2ZD, United Kingdom
bj East of Scotland Regional Genetics Service, Human Genetics Unit, Pathology Department, NHS Tayside, Ninewells Hospital, Dundee, DD1 9SY, United Kingdom
bk Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Department of Clinical Genetics, Chapel Allerton Hospital, Chapeltown Road, Leeds, LS7 4SA, United Kingdom
bl North West Thames Regional Genetics Centre, North West London Hospitals NHS Trust, The Kennedy Galton Centre, Northwick Park and St Mark’s NHS Trust Watford Road, Harrow, HA1 3UJ, United Kingdom
bm Oxford Regional Genetics Service, Oxford Radcliffe Hospitals NHS Trust, The Churchill Old Road, Oxford, OX3 7LJ, United Kingdom
bn West Midlands Regional Genetics Service, Birmingham Women’s NHS Foundation Trust, Birmingham Women’s Hospital, Edgbaston, Birmingham B15 2TG, United Kingdom
bo Northern Genetics Service, Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Human Genetics, International Centre for Life, Central Parkway, Newcastle upon Tyne, NE1 3BZ, United Kingdom
bp Northern Ireland Regional Genetics Centre, Belfast Health and Social Care Trust, Belfast City Hospital, Lisburn Road, Belfast, BT9 7AB, United Kingdom
bq Peninsula Clinical Genetics Service, Royal Devon and Exeter NHS Foundation Trust, Clinical Genetics Department, Royal Devon & Exeter Hospital (Heavitree), Gladstone Road, Exeter, EX1 2ED, United Kingdom
br South East Thames Regional Genetics Centre, Guy’s and St Thomas’ NHS Foundation Trust, Guy’s Hospital, Great Maze Pond, London, SE1 9RT, United Kingdom
bs Leicestershire Genetics Centre, University Hospitals of Leicester NHS Trust, Leicester Royal Infirmary (NHS Trust), Leicester, LE1 5WW, United Kingdom
bt Nottingham Regional Genetics Service, City Hospital Campus, Nottingham University Hospitals NHS Trust, The Gables, Hucknall Road, Nottingham, NG5 1PB, United Kingdom
bu West of Scotland Regional Genetics Service, NHS Greater Glasgow and Clyde, Institute of Medical Genetics, Yorkhill Hospital, Glasgow, G3 8SJ, United Kingdom
bv Bristol Genetics Service (Avon, Somerset, Gloucs and West Wilts), University Hospitals Bristol NHS Foundation Trust, St Michael’s Hospital, St Michael’s Hill, Bristol, BS2 8DT, United Kingdom
bw Merseyside and Cheshire Genetics Service, Liverpool Women’s NHS Foundation Trust, Department of Clinical Genetics, Royal Liverpool Children’s Hospital Alder Hey, Eaton Road, Liverpool, L12 2AP, United Kingdom
bx National Centre for Medical Genetics, Our Lady’s Children’s Hospital, Crumlin, Dublin 12, Ireland
by Department of Clinical Genetics, Block 12, Glan Clwyd Hospital, Rhyl, Denbighshire, Wales LL18 5UJ, United Kingdom
bz Nuffield Department of Obstetrics & Gynaecology, University of Oxford, Level 3, Women’s Centre, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom
ca Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Old Road Campus Research Building, Oxford, OX3 7DQ, United Kingdom
cb Big Data Institute, University of Oxford, Roosevelt drive, Oxford, OX3 7LF, United Kingdom
cc The Ethox Centre, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, United Kingdom
Abstract
The HTML and PDF versions of this Article were updated after publication to remove images of one individual from Figure 1. © 2019, The Author(s).
Document Type: Erratum
Publication Stage: Final
Source: Scopus