Arts & Sciences Brown School McKelvey School of Engineering School of Medicine Weekly Publications

WashU weekly Neuroscience publications

"Molecular classification of a complex structural rearrangement of the RB1 locus in an infant with sporadic, isolated, intracranial, sellar region retinoblastoma" (2021) Acta Neuropathologica Communications

Molecular classification of a complex structural rearrangement of the RB1 locus in an infant with sporadic, isolated, intracranial, sellar region retinoblastoma
(2021) Acta Neuropathologica Communications, 9 (1), art. no. 61, . 

Schieffer, K.M.a , Feldman, A.Z.b , Kautto, E.A.a , McGrath, S.a , Miller, A.R.a , Hernandez-Gonzalez, M.E.a , LaHaye, S.a , Miller, K.E.a , Koboldt, D.C.a c , Brennan, P.a , Kelly, B.a , Wetzel, A.a , Agarwal, V.d , Shatara, M.e , Conley, S.f , Rodriguez, D.P.g , Abu-Arja, R.f , Shaikhkhalil, A.h , Snuderl, M.i , Orr, B.A.j , Finlay, J.L.f k l , Osorio, D.S.c f k , Drapeau, A.I.m n , Leonard, J.R.m n , Pierson, C.R.o p q , White, P.a c , Magrini, V.a c , Mardis, E.R.a c n , Wilson, R.K.a c , Cottrell, C.E.a c p , Boué, D.R.o p

a The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute At Nationwide Children’s Hospital, 575 Children’s Crossroad, Columbus, OH 43215, United States
b Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
c Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, United States
d Division of Hematology/Oncology, Department of Pediatrics, Nemours Children’s Health System, Orlando, FL, United States
e Division of Hematology/Oncology, Department of Pediatrics, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
f Division of Hematology, Oncology, and Bone Marrow Transplant, Nationwide Children’s Hospital, Columbus, OH, United States
g Department of Radiology, Nationwide Children’s Hospital, Columbus, OH, United States
h Division of Gastroenterology & Hepatology & Nutrition, Nationwide Children’s Hospital, Columbus, OH, United States
i Department of Pathology, New York University Langone Health, New York City, NY, United States
j Department of Pathology, St. Jude Children’s Research Hospital, Memphis, TN, United States
k Division of Hematology and Oncology, The Ohio State University College of Medicine, Columbus, OH, United States
l Departments of Pediatrics and Radiation Oncology, The Ohio State University College of Medicine, Columbus, OH, United States
m Division of Neurosurgery, Nationwide Children’s Hospital, Columbus, OH, United States
n Department of Neurosurgery, The Ohio State University College of Medicine, Columbus, OH, United States
o Department of Pathology and Laboratory Medicine, Nationwide Children’s Hospital, Columbus, OH, United States
p Department of Pathology, The Ohio State University College of Medicine, Columbus, OH, United States
q Department of Biomedical Education & Anatomy, The Ohio State University, Columbus, OH, United States

Abstract
Retinoblastoma is a childhood cancer of the retina involving germline or somatic alterations of the RB Transcriptional Corepressor 1 gene, RB1. Rare cases of sellar-suprasellar region retinoblastoma without evidence of ocular or pineal tumors have been described. A nine-month-old male presented with a sellar-suprasellar region mass. Histopathology showed an embryonal tumor with focal Flexner-Wintersteiner-like rosettes and loss of retinoblastoma protein (RB1) expression by immunohistochemistry. DNA array-based methylation profiling confidently classified the tumor as pineoblastoma group A/intracranial retinoblastoma. The patient was subsequently enrolled on an institutional translational cancer research protocol and underwent comprehensive molecular profiling, including paired tumor/normal exome and genome sequencing and RNA-sequencing of the tumor. Additionally, Pacific Biosciences (PacBio) Single Molecule Real Time (SMRT) sequencing was performed from comparator normal and disease-involved tissue to resolve complex structural variations. RNA-sequencing revealed multiple fusions clustered within 13q14.1-q21.3, including a novel in-frame fusion of RB1-SIAH3 predicted to prematurely truncate the RB1 protein. SMRT sequencing revealed a complex structural rearrangement spanning 13q14.11-q31.3, including two somatic structural variants within intron 17 of RB1. These events corresponded to the RB1-SIAH3 fusion and a novel RB1 rearrangement expected to correlate with the complete absence of RB1 protein expression. Comprehensive molecular analysis, including DNA array-based methylation profiling and sequencing-based methodologies, were critical for classification and understanding the complex mechanism of RB1 inactivation in this diagnostically challenging tumor. © 2021, The Author(s).

Author Keywords
DNA array-based methylation;  Intracranial retinoblastoma;  PacBio;  RB1;  Sellar-suprasellar retinoblastoma;  SMRT sequencing;  Structural variation

Funding details
National Institutes of HealthNIH2T32GM068412-11A1
National Institute of General Medical SciencesNIGMS

Document Type: Article
Publication Stage: Final
Source: Scopus

"Multicentric tracking of multiple agents by anterior cingulate cortex during pursuit and evasion" (2021) Nature Communications

Multicentric tracking of multiple agents by anterior cingulate cortex during pursuit and evasion
(2021) Nature Communications, 12 (1), art. no. 1985, . 

Yoo, S.B.M.a b c d , Tu, J.C.a e , Hayden, B.Y.a

a Department of Neuroscience, Center for Magnetic Resonance Research, and Center for Neuroengineering, University of Minnesota, Minneapolis, MN, United States
b Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea
c Department of Biomedical Engineering, Sungkyunkwan University, Suwon, South Korea
d Department of Brain and Cognitive Sciences, Massachusetts Institution of Technology, Cambridge, MA, United States
e Department of Neuroscience, Washington University at St.Louis, St.Louis, MO, United States

Abstract
Successful pursuit and evasion require rapid and precise coordination of navigation with adaptive motor control. We hypothesize that the dorsal anterior cingulate cortex (dACC), which communicates bidirectionally with both the hippocampal complex and premotor/motor areas, would serve a mapping role in this process. We recorded responses of dACC ensembles in two macaques performing a joystick-controlled continuous pursuit/evasion task. We find that dACC carries two sets of signals, (1) world-centric variables that together form a representation of the position and velocity of all relevant agents (self, prey, and predator) in the virtual world, and (2) avatar-centric variables, i.e. self-prey distance and angle. Both sets of variables are multiplexed within an overlapping set of neurons. Our results suggest that dACC may contribute to pursuit and evasion by computing and continuously updating a multicentric representation of the unfolding task state, and support the hypothesis that it plays a high-level abstract role in the control of behavior. © 2021, The Author(s).

Document Type: Article
Publication Stage: Final
Source: Scopus

"Vitamin A1/A2 chromophore exchange: Its role in spectral tuning and visual plasticity" (2021) Developmental Biology

Vitamin A1/A2 chromophore exchange: Its role in spectral tuning and visual plasticity
(2021) Developmental Biology, 475, pp. 145-155. 

Corbo, J.C.

Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, 63110, United States

Abstract
Vertebrate rod and cone photoreceptors detect light via a specialized organelle called the outer segment. This structure is packed with light-sensitive molecules known as visual pigments that consist of a G-protein-coupled, seven-transmembrane protein known as opsin, and a chromophore prosthetic group, either 11-cis retinal (‘A1’) or 11-cis 3,4-didehydroretinal (‘A2’). The enzyme cyp27c1 converts A1 into A2 in the retinal pigment epithelium. Replacing A1 with A2 in a visual pigment red-shifts its spectral sensitivity and broadens its bandwidth of absorption at the expense of decreased photosensitivity and increased thermal noise. The use of vitamin A2-based visual pigments is strongly associated with the occupation of aquatic habitats in which the ambient light is red-shifted. By modulating the A1/A2 ratio in the retina, an organism can dynamically tune the spectral sensitivity of the visual system to better match the predominant wavelengths of light in its environment. As many as a quarter of all vertebrate species utilize A2, at least during a part of their life cycle or under certain environmental conditions. A2 utilization therefore represents an important and widespread mechanism of sensory plasticity. This review provides an up-to-date account of the A1/A2 chromophore exchange system. © 2021

Author Keywords
Chromophore;  Cones;  Opsins;  Photoreceptors;  Porphyropsin;  Retina;  Rods;  Sensory plasticity;  Spectral tuning;  Visual ecology;  Visual pigments;  Visual plasticity;  Vitamin A1;  Vitamin A2

Funding details
National Institutes of HealthNIHEY025196, EY026672, EY030075

Document Type: Article
Publication Stage: Final
Source: Scopus

"White matter abnormalities of right hemisphere attention networks contribute to visual hallucinations in dementia with Lewy bodies" (2021) Cortex

White matter abnormalities of right hemisphere attention networks contribute to visual hallucinations in dementia with Lewy bodies
(2021) Cortex, 139, pp. 86-98. 

Zorzi, G.a b , Thiebaut de Schotten, M.b c d , Manara, R.a b , Bussè, C.a , Corbetta, M.a b e , Cagnin, A.a b

a Department of Neuroscience, University of Padova, Padova, Italy
b Padova Neuroscience Center, University of Padova, Padova, Italy
c Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France
d Groupe d’Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives-UMR 5293, CNRS, CEA University of Bordeaux, Bordeaux, France
e Department of Neurology, Radiology, Neuroscience, Washington University School of Medicine, St.Louis, MO, United States

Abstract
Objective: Functional alterations of the visual attention networks in a setting of impaired visual information processing have a role in the genesis of visual hallucinations (VH) in dementia with Lewy bodies (DLB). This multimodal MRI study aims at exploring structural and functional basis of VH. Methods: 23 DLB patients (10 with and 13 without VH) and 13 healthy controls were studied. They underwent MRI with T1-w sequences to measure cortical thickness, DTI for whole-brain and single tract microstructural properties and rs-fMRI of the default mode, dorsal and ventral attention, and visual networks. Results: In DLB with VH, whole-brain DTI revealed a lower fractional anisotropy and a greater mean diffusivity in the right frontal and temporo-parietal white matter tracts. Tracts dissection showed lower fractional anisotropy in the right inferior and superior (ventral part) longitudinal fasciculi (ILF and SLF) (p <.05, corrected), and greater mean diffusivity (p <.05). The extent of white matter microstructural alterations involving the right ILF and SLF correlated with the severity of VH (r =.55, p <.01; r =.42, p <.05, respectively), and with performance in the visual attention task (r = −.56 and r = −.61; p <.01, respectively). Cortical thickness in the projection areas of the right SLF was significantly reduced (p <.05). Patients with VH also showed an altered functional connectivity in the ventral attention network, connected by the ventral portion of the SLF (p <.05). Conclusions: Our findings suggest that a combination of microstructural and functional alterations involving the attention networks in the right hemisphere may be important in the genesis of VH. © 2021 Elsevier Ltd

Author Keywords
Dementia with Lewy bodies;  DTI;  MRI;  Visual hallucination;  White matter

Funding details
Horizon 2020 Framework ProgrammeH202081852
European Research CouncilERC
Ministero dell’Istruzione, dell’Università e della RicercaMIUR
Horizon 2020
Associazione Italiana Ricerca Alzheimer

Document Type: Article
Publication Stage: Final
Source: Scopus

"Immune activation during Paenibacillus brain infection in African infants with frequent cytomegalovirus co-infection" (2021) iScience

Immune activation during Paenibacillus brain infection in African infants with frequent cytomegalovirus co-infection
(2021) iScience, 24 (4), art. no. 102351, . 

Isaacs, A.M.a b , Morton, S.U.c d , Movassagh, M.e , Zhang, Q.f , Hehnly, C.g h , Zhang, L.g , Morales, D.M.i , Sinnar, S.A.j k , Ericson, J.E.l , Mbabazi-Kabachelor, E.m , Ssenyonga, P.m , Onen, J.m , Mulondo, R.m , Hornig, M.n , Warf, B.C.o , Broach, J.R.g h , Townsend, R.R.f , Limbrick, D.D., Jr.i , Paulson, J.N.p , Schiff, S.J.j q

a Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, United States
b Department of Clinical Neurosciences, University of Calgary, Calgary, AB T2N 1N4, Canada
c Division of Newborn Medicine, Boston Children’s Hospital, Boston, MA 02115, United States
d Department of Pediatrics, Harvard Medical School, Boston, MA 02115, United States
e Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States
f Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, United States
g Institute for Personalized Medicine, Pennsylvania State University, Hershey, PA 17033, United States
h Department of Biochemistry and Molecular Biology, Pennsylvania State University, State College, PA 16801, United States
i Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO 63110, United States
j Center for Neural Engineering, Pennsylvania State University, State College, PA 16801, United States
k Department of Medicine, Pennsylvania State University College of Medicine, Hershey, PA 17033, United States
l Department of Pediatrics, Pennsylvania State College of Medicine, Hershey, PA 17033, United States
m CURE Children’s Hospital of Uganda, Mbale, Uganda
n Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, United States
o Department of Neurosurgery, Harvard Medical School, Boston, MA 02115, United States
p Department of Biostatistics, Product Development, Genentech Inc., South San Francisco, CA 94080, United States
q Center for Infectious Disease Dynamics, Departments of Neurosurgery, Engineering Science and Mechanics, and Physics, The Pennsylvania State University, University ParkPA 16802, United States

Abstract
Inflammation during neonatal brain infections leads to significant secondary sequelae such as hydrocephalus, which often follows neonatal sepsis in the developing world. In 100 African hydrocephalic infants we identified the biological pathways that account for this response. The dominant bacterial pathogen was a Paenibacillus species, with frequent cytomegalovirus co-infection. A proteogenomic strategy was employed to confirm host immune response to Paenibacillus and to define the interplay within the host immune response network. Immune activation emphasized neuroinflammation, oxidative stress reaction, and extracellular matrix organization. The innate immune system response included neutrophil activity, signaling via IL-4, IL-12, IL-13, interferon, and Jak/STAT pathways. Platelet-activating factors and factors involved with microbe recognition such as Class I MHC antigen-presenting complex were also increased. Evidence suggests that dysregulated neuroinflammation propagates inflammatory hydrocephalus, and these pathways are potential targets for adjunctive treatments to reduce the hazards of neuroinflammation and risk of hydrocephalus following neonatal sepsis. © 2021 The Authors

Author Keywords
Immunology;  Proteomics;  Transcriptomics

Funding details
396212
National Institutes of HealthNIH5DP1HD086071-05
National Cancer InstituteNCIP30 CA091842
National Institute of General Medical SciencesNIGMSP41 GM103422, R24GM136766
Medtronic
National Center for Advancing Translational SciencesNCATSUL1 TR000448
Institute of Clinical and Translational SciencesICTS
Pennsylvania State UniversityPSU

Document Type: Article
Publication Stage: Final
Source: Scopus

"SARM1 is a metabolic sensor activated by an increased NMN/NAD+ ratio to trigger axon degeneration" (2021) Neuron

SARM1 is a metabolic sensor activated by an increased NMN/NAD+ ratio to trigger axon degeneration
(2021) Neuron, 109 (7), pp. 1118-1136.e11. Cited 1 time.

Figley, M.D.a b , Gu, W.c , Nanson, J.D.c , Shi, Y.d , Sasaki, Y.b e , Cunnea, K.f g , Malde, A.K.d , Jia, X.h , Luo, Z.c , Saikot, F.K.c , Mosaiab, T.d , Masic, V.d , Holt, S.d , Hartley-Tassell, L.d , McGuinness, H.Y.c , Manik, M.K.c , Bosanac, T.i , Landsberg, M.J.c , Kerry, P.S.f g , Mobli, M.h , Hughes, R.O.i , Milbrandt, J.b e , Kobe, B.c , DiAntonio, A.a b , Ve, T.d

a Department of Developmental Biology, Washington University School of Medicine in Saint Louis, St. Louis, MO, United States
b Needleman Center for Neurometabolism and Axonal Therapeutics, Washington University School of Medicine in Saint Louis, St. Louis, MO, United States
c School of Chemistry and Molecular Biosciences, Institute for Molecular Bioscience and Australian Infectious Diseases Research Centre, University of Queensland, Brisbane, QLD 4072, Australia
d Institute for Glycomics, Griffith University, Southport, QLD 4222, Australia
e Department of Genetics, Washington University School of Medicine in Saint Louis, St. Louis, MO, United States
f Evotec (UK) Ltd., 114 Innovation Drive, Milton Park, Abingdon, Oxfordshire OX14 4RZ, United Kingdom
g Evotec SE, Manfred Eigen Campus, Essener Bogen 7, Hamburg, 22419, Germany
h Centre for Advanced Imaging, University of Queensland, Brisbane, QLD 4072, Australia
i Disarm Therapeutics, a wholly owned subsidiary of Eli Lilly & Co., Cambridge, MA, United States

Abstract
Axon degeneration is a central pathological feature of many neurodegenerative diseases. Sterile alpha and Toll/interleukin-1 receptor motif-containing 1 (SARM1) is a nicotinamide adenine dinucleotide (NAD+)-cleaving enzyme whose activation triggers axon destruction. Loss of the biosynthetic enzyme NMNAT2, which converts nicotinamide mononucleotide (NMN) to NAD+, activates SARM1 via an unknown mechanism. Using structural, biochemical, biophysical, and cellular assays, we demonstrate that SARM1 is activated by an increase in the ratio of NMN to NAD+ and show that both metabolites compete for binding to the auto-inhibitory N-terminal armadillo repeat (ARM) domain of SARM1. We report structures of the SARM1 ARM domain bound to NMN and of the homo-octameric SARM1 complex in the absence of ligands. We show that NMN influences the structure of SARM1 and demonstrate via mutagenesis that NMN binding is required for injury-induced SARM1 activation and axon destruction. Hence, SARM1 is a metabolic sensor responding to an increased NMN/NAD+ ratio by cleaving residual NAD+, thereby inducing feedforward metabolic catastrophe and axonal demise. © 2021 Elsevier Inc.

Author Keywords
allostery;  ARM domain;  cryo-EM;  NADase;  nicotinamide riboside;  TIR domain;  X-ray crystallography

Document Type: Article
Publication Stage: Final
Source: Scopus

"CD11c+CD88+CD317+ myeloid cells are critical mediators of persistent CNS autoimmunity" (2021) Proceedings of the National Academy of Sciences of the United States of America

CD11c+CD88+CD317+ myeloid cells are critical mediators of persistent CNS autoimmunity
(2021) Proceedings of the National Academy of Sciences of the United States of America, 118 (14), . 

Manouchehri, N.a , Hussain, R.Z.a , Cravens, P.D.a , Esaulova, E.b , Artyomov, M.N.b , Edelson, B.T.b , Wu, G.F.b c , Cross, A.H.c , Doelger, R.a , Loof, N.d , Eagar, T.N.e , Forsthuber, T.G.f , Calvier, L.g h , Herz, J.g h i j , Stüve, O.k l

a Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States
b Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO 63110
c Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
d Moody Foundation Flow Cytometry Facility, Children’s Research Institute, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States
e Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, TX 77030
f Department of Biology, University of Texas at San Antonio, San Antonio, TX 78249, Mexico
g Department of Molecular Genetics, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States
h Center for Translational Neurodegeneration Research, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States
i Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States
j Center for Neuroscience, Department of Neuroanatomy, Albert-Ludwigs University, Freiburg, 79085, Germany
k Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, TX 75390;
l Neurology Section, VA North Texas Health Care System, Dallas, United States

Abstract
Natalizumab, a humanized monoclonal antibody (mAb) against α4-integrin, reduces the number of dendritic cells (DC) in cerebral perivascular spaces in multiple sclerosis (MS). Selective deletion of α4-integrin in CD11c+ cells should curtail their migration to the central nervous system (CNS) and ameliorate experimental autoimmune encephalomyelitis (EAE). We generated CD11c.Cre+/-ITGA4fl/fl C57BL/6 mice to selectively delete α4-integrin in CD11c+ cells. Active immunization and adoptive transfer EAE models were employed and compared with WT controls. Multiparameter flow cytometry was utilized to immunophenotype leukocyte subsets. Single-cell RNA sequencing was used to profile individual cells. α4-Integrin expression by CD11c+ cells was significantly reduced in primary and secondary lymphoid organs in CD11c.Cre+/-ITGA4fl/fl mice. In active EAE, a delayed disease onset was observed in CD11c.Cre+/-ITGA4fl/fl mice, during which CD11c+CD88+ cells were sequestered in the blood. Upon clinical EAE onset, CD11c+CD88+ cells appeared in the CNS and expressed CD317+ In adoptive transfer experiments, CD11c.Cre+/-ITGA4fl/fl mice had ameliorated clinical disease phenotype associated with significantly diminished numbers of CNS CD11c+CD88+CD317+ cells. In human cerebrospinal fluid from subjects with neuroinflammation, microglia-like cells display coincident expression of ITGAX (CD11c), C5AR1 (CD88), and BST2 (CD317). In mice, we show that only activated, but not naïve microglia expressed CD11c, CD88, and CD317. Finally, anti-CD317 treatment prior to clinical EAE substantially enhanced recovery in mice. Copyright © 2021 the Author(s). Published by PNAS.

Author Keywords
biomarker;  CD317;  EAE;  multiple sclerosis;  myeloid cells

Document Type: Article
Publication Stage: Final
Source: Scopus

"Striatal dopamine mediates hallucination-like perception in mice" (2021) Science

Striatal dopamine mediates hallucination-like perception in mice
(2021) Science, 372 (6537), art. no. 51, . 

Schmack, K.a , Bosc, M.a , Ott, T.b , Sturgill, J.F.a , Kepecs, A.a b

a Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, United States
b Departments of Neuroscience and Psychiatry, Washington University, School of Medicine, St. Louis, MO 63110, United States

Abstract
Hallucinations, a central symptom of psychotic disorders, are attributed to excessive dopamine in the brain. However, the neural circuit mechanisms by which dopamine produces hallucinations remain elusive, largely because hallucinations have been challenging to study in model organisms. We developed a task to quantify hallucination-like perception in mice. Hallucination-like percepts, defined as high-confidence false detections, increased after hallucination-related manipulations in mice and correlated with self-reported hallucinations in humans. Hallucination-like percepts were preceded by elevated striatal dopamine levels, could be induced by optogenetic stimulation of mesostriatal dopamine neurons, and could be reversed by the antipsychotic drug haloperidol. These findings reveal a causal role for dopamine-dependent striatal circuits in hallucination-like perception and open new avenues to develop circuit-based treatments for psychotic disorders. © 2021 American Association for the Advancement of Science. All rights reserved.

Document Type: Article
Publication Stage: Final
Source: Scopus

"Management of sagittal synostosis in the Synostosis Research Group: baseline data and early outcomes" (2021) Neurosurgical Focus

Management of sagittal synostosis in the Synostosis Research Group: baseline data and early outcomes
(2021) Neurosurgical Focus, 50 (4), pp. 1-6. 

Baker, C.M.a , Ravindra, V.M.a b c , Gociman, B.d , Siddiqi, F.A.d , Goldstein, J.A.e , Smyth, M.D.f , Lee, A.g , Anderson, R.C.E.h , Patel, K.B.i , Birgfeld, C.j , Pollack, I.F.j , Imahiyerobo, T.k , Kestle, J.R.W.a

a Divisions of Pediatric Neurosurgery, Primary Children’s Hospital, Salt Lake City, Utah, United States
b Division of Neurosurgery, University of California, San Diego, California, United States
c Department of Neurosurgery, Naval Medical Center San DiegoCalifornia
d Divisions of Plastic and Reconstructive Surgery, University of Utah, Salt Lake City, Utah, United States
e Departments of Plastic SurgeryPennsylvania, United States
f Department of NeurosurgeryMissouri, United States
g Department of Neurosurgery, Seattle Children’s Hospital, University of Washington, Seattle, Washington, United States
h Department of Neurosurgery, Columbia University, Morgan Stanley Children’s Hospital, New York, United States
i Division of Plastic and Reconstructive Surgery, Department of Surgery, St. Louis Children’s Hospital, Washington University School of Medicine in St. LouisMissouri, United States
j Departments of Pediatric Neurosurgery, UPMC Children’s Hospital of PittsburghPennsylvania, United States
k Division of Plastic Surgery, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, New York, United States

Abstract
Objective Sagittal synostosis is the most common form of isolated craniosynostosis. Although some centers have reported extensive experience with this condition, most reports have focused on a single center. In 2017, the Synostosis Research Group (SynRG), a multicenter collaborative network, was formed to study craniosynostosis. Here, the authors report their early experience with treating sagittal synostosis in the network. The goals were to describe practice patterns, identify variations, and generate hypotheses for future research. Methods All patients with a clinical diagnosis of isolated sagittal synostosis who presented to a SynRG center between March 1, 2017, and October 31, 2019, were included. Follow-up information through October 31, 2020, was included. Data extracted from the prospectively maintained SynRG registry included baseline parameters, surgical adjuncts and techniques, complications prior to discharge, and indications for reoperation. Data analysis was descriptive, using frequencies for categorical variables and means and medians for continuous variables. Results Two hundred five patients had treatment for sagittal synostosis at 5 different sites. One hundred twenty-six patients were treated with strip craniectomy and 79 patients with total cranial vault remodeling. The most common strip craniectomy was wide craniectomy with parietal wedge osteotomies (44%), and the most common cranial vault remodeling procedure was total vault remodeling without forehead remodeling (63%). Preoperative mean cephalic indices (CIs) were similar between treatment groups: 0.69 for strip craniectomy and 0.68 for cranial vault remodeling. Thirteen percent of patients had other health problems. In the cranial vault cohort, 81% of patients who received tranexamic acid required a transfusion compared with 94% of patients who did not receive tranexamic acid. The rates of complication were low in all treatment groups. Five patients (2%) had an unintended reoperation. The mean change in CI was 0.09 for strip craniectomy and 0.06 for cranial vault remodeling; wide craniectomy resulted in a greater change in CI in the strip craniectomy group. Conclusions The baseline severity of scaphocephaly was similar across procedures and sites. Treatment methods varied, but cranial vault remodeling and strip craniectomy both resulted in satisfactory postoperative CIs. Use of tranexamic acid may reduce the need for transfusion in cranial vault cases. The wide craniectomy technique for strip craniectomy seemed to be associated with change in CI. Both findings seem amenable to testing in a randomized controlled trial. ©AANS 2021, except where prohibited by US copyright law

Author Keywords
cranial vault reconstruction;  craniosynostosis;  sagittal synostosis;  strip craniectomy;  Synostosis Research Group

Funding details
University of Utah

Document Type: Article
Publication Stage: Final
Source: Scopus

"Hydrocephalus treatment in patients with craniosynostosis: an analysis from the Hydrocephalus Clinical Research Network prospective registry" (2021) Neurosurgical Focus

Hydrocephalus treatment in patients with craniosynostosis: an analysis from the Hydrocephalus Clinical Research Network prospective registry
(2021) Neurosurgical Focus, 50 (4), pp. 1-7. 

Bonfield, C.M.a , Shannon, C.N.a , Reeder, R.W.b , Browd, S.c , Drake, J.d , Hauptman, J.S.c , Kulkarni, A.V.d , Limbrick, D.D.e , McDonald, P.J.f , Naftel, R.a , Pollack, I.F.g , Riva-Cambrin, J.h , Rozzelle, C.i , Tamber, M.S.f , Whitehead, W.E.j , Kestle, J.R.W.k , III, J.C.W.a

a Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, Tennessee, United States
b Departments of Pediatrics, Salt Lake City, Utah, United States
c Department of Neurosurgery, University of Washington, Seattle, Washington, United States
d Division of Neurosurgery, University of Toronto, Ontario, Canada
e Department of Neurosurgery, Washington University School of Medicine in St. LouisMissouri, United States
f Division of Neurosurgery, University of British Columbia, British Columbia, Vancouver, Canada
g Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States
h Division of Neurosurgery, University of Calgary, Alberta, Canada
i Department of Neurosurgery, University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, United States
j Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
k Department of Neurosurgery, University of Utah, Salt Lake City, Utah, United States

Abstract
Objective Hydrocephalus may be seen in patients with multisuture craniosynostosis and, less commonly, singlesuture craniosynostosis. The optimal treatment for hydrocephalus in this population is unknown. In this study, the authors aimed to evaluate the success rate of ventriculoperitoneal shunt (VPS) treatment and endoscopic third ventriculostomy (ETV) both with and without choroid plexus cauterization (CPC) in patients with craniosynostosis. Methods Utilizing the Hydrocephalus Clinical Research Network (HCRN) Core Data Project (Registry), the authors identified all patients who underwent treatment for hydrocephalus associated with craniosynostosis. Descriptive statistics, demographics, and surgical outcomes were evaluated. Results In total, 42 patients underwent treatment for hydrocephalus associated with craniosynostosis. The median gestational age at birth was 39.0 weeks (IQR 38.0, 40.0); 55% were female and 60% were White. The median age at first craniosynostosis surgery was 0.6 years (IQR 0.3, 1.7), and at the first permanent hydrocephalus surgery it was 1.2 years (IQR 0.5, 2.5). Thirty-three patients (79%) had multiple different sutures fused, and 9 had a single suture: 3 unicoronal (7%), 3 sagittal (7%), 2 lambdoidal (5%), and 1 unknown (2%). Syndromes were identified in 38 patients (90%), with Crouzon syndrome being the most common (n = 16, 42%). Ten patients (28%) received permanent hydrocephalus surgery before the first craniosynostosis surgery. Twenty-eight patients (67%) underwent VPS treatment, with the remaining 14 (33%) undergoing ETV with or without CPC (ETV ± CPC). Within 12 months after initial hydrocephalus intervention, 14 patients (34%) required revision (8 VPS and 6 ETV ± CPC). At the most recent follow-up, 21 patients (50%) required a revision. The revision rate decreased as age increased. The overall infection rate was 5% (VPS 7%, 0% ETV ± CPC). Conclusions This is the largest prospective study reported on children with craniosynostosis and hydrocephalus. Hydrocephalus in children with craniosynostosis most commonly occurs in syndromic patients and multisuture fusion. It is treated at varying ages; however, most patients undergo surgery for craniosynostosis prior to hydrocephalus treatment. While VPS treatment is performed more frequently, VPS and ETV are both reasonable options, with decreasing revision rates with increasing age, for the treatment of hydrocephalus associated with craniosynostosis. ©AANS 2021, except where prohibited by US copyright law

Author Keywords
craniosynostosis;  endoscopic third ventriculostomy;  hydrocephalus;  ventriculoperitoneal shunt

Funding details
National Institute of Neurological Disorders and StrokeNINDS1RC1NS068943-01, CER-1403-13857
Gerber Foundation1692-3638
Hydrocephalus AssociationHA

Document Type: Article
Publication Stage: Final
Source: Scopus

"Left Ventricular Dysfunction and Depression in Hospitalized Patients with Heart Failure" (2021) Psychosomatic Medicine

Left Ventricular Dysfunction and Depression in Hospitalized Patients with Heart Failure
(2021) Psychosomatic Medicine, 83 (3), pp. 274-282. 

Freedland, K.E., Carney, R.M., Steinmeyer, B.C., Skala, J.A., Rich, M.W.

From the Washington University School of Medicine, St. Louis, MO, United States

Abstract
OBJECTIVE: This study examined whether the severity of left ventricular systolic dysfunction is associated with depression in patients with heart failure (HF). Other factors were also studied to identify independent correlates of depression in HF. METHODS: The sample consisted of 400 hospitalized patients with HF. Left ventricular ejection fraction and other medical data were obtained from medical records. Depression and other psychosocial characteristics were assessed by an interview and questionnaires. Proportional odds models were used to test the relationships of these characteristics to Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) depressive disorders, and analysis of covariance was used to test relationships with continuous measures of depression in secondary models. RESULTS: The models produced no evidence of an association between left ventricular ejection fraction and depression. The adjusted odds ratio (95% confidence interval) was 1.00 (0.98-1.01; p = .87) for depression diagnosis. Analysis of covariance estimates (standard errors) were -0.01 (0.02; p = .54) for the Hamilton Rating Scale for Depression and -0.01 (0.01; p = .59) for the Patient Health Questionnaire. The odds of depression were higher in African American patients and in those with high levels of anxiety or stress. Other characteristics that have been associated with depression in previous studies, including sex and age, were not consistently associated with depression in this study. CONCLUSIONS: There is no relationship between the severity of left ventricular systolic dysfunction and depression in hospitalized patients with HF. In contrast, African American patients and those with a high level of anxiety or perceived stress are more likely than other patients to have a comorbid depressive disorder. Copyright © 2021 by the American Psychosomatic Society.

Document Type: Article
Publication Stage: Final
Source: Scopus

"Dural augmentation approaches and complication rates after posterior fossa decompression for Chiari I malformation and syringomyelia: A Park-Reeves Syringomyelia Research Consortium study" (2021) Journal of Neurosurgery: Pediatrics

Dural augmentation approaches and complication rates after posterior fossa decompression for Chiari I malformation and syringomyelia: A Park-Reeves Syringomyelia Research Consortium study
(2021) Journal of Neurosurgery: Pediatrics, 27 (4), pp. 459-468. 

Yahanda, A.T.a , David Adelson, P.b , Hassan A. Akbari, S.c , Albert, G.W.d , Aldana, P.R.e , Alden, T.D.f , Anderson, R.C.E.g , Bauer, D.F.h , Bethel-Anderson, T.a , Brockmeyer, D.L.i , Chern, J.J.j , Couture, D.E.k , Daniels, D.J.l , Dlouhy, B.J.m , Durham, S.R.n , Ellenbogen, R.G.o , Eskandari, R.p , George, T.M.q , Grant, G.A.r , Graupman, P.C.s , Greene, S.t , Greenfield, J.P.u , Gross, N.L.v , Guillaume, D.J.w , Hankinson, T.C.x , Heuer, G.G.y , Iantosca, M.z , Iskandar, B.J.aa , Jackson, E.M.ab , Johnston, J.M.c , Keating, R.F.ac , Krieger, M.D.ad , Leonard, J.R.ae , Maher, C.O.af , Mangano, F.T.ag , Gordon McComb, J.ad , McEvoy, S.D.a , Meehan, T.a , Menezes, A.H.m , O’Neill, B.R.x , Olavarria, G.ah , Ragheb, J.ai , Selden, N.R.aj , Shah, M.N.ak , Shannon, C.N.al , Shimony, J.S.am , Smyth, M.D.a , Stone, S.S.D.an , Strahle, J.M.a , Torner, J.C.m , Tuite, G.F.ao , Wait, S.D.ap , Wellons, J.C., IIIal , Whitehead, W.E.aq , Park, T.S.a , Limbrick, D.D., Jr.a

a Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, United States
b Division of Pediatric Neurosurgery, Barrow Neurological Institute at Phoenix Children’s Hospital, Phoenix, AZ, United States
c Division of Pediatric Neurosurgery, University of Alabama at BirminghamAL, United States
d Division of Neurosurgery, Arkansas Children’s Hospital, Little Rock, AR, United States
e Division of Pediatric Neurosurgery, University of Florida College of Medicine, Jacksonville, FL, United States
f Division of Pediatric Neurosurgery, Ann and Robert H. Lurie Children’s Hospital of ChicagoIL, United States
g Division of Pediatric Neurosurgery, Department of Neurological Surgery, Children’s Hospital of New York, Columbia-Presbyterian, New York, NY, United States
h Department of Neurosurgery, Dartmouth- Hitchcock Medical Center, Lebanon, NH, United States
i Division of Pediatric Neurosurgery, Primary Children’s Hospital, Salt Lake City, UT, United States
j Division of Pediatric Neurosurgery, Children’s Healthcare of AtlantaGA, United States
k Department of Neurological Surgery, Wake Forest University, School of Medicine, Winston-Salem, NC, United States
l Department of Neurosurgery, Mayo Clinic, Rochester, MN, United States
m Department of Neurosurgery, University of Iowa Hospitals and Clinics, Iowa City, IA, United States
n Department of Neurosurgery, University of Vermont, Burlington, VT, United States
o Division of Pediatric Neurosurgery, Seattle Children’s Hospital, Seattle, WA, United States
p Department of Neurosurgery, Medical University of South Carolina, Charleston, SC, United States
q Division of Pediatric Neurosurgery, Dell Children’s Medical Center, Austin, TX, United States
r Division of Pediatric Neurosurgery, Lucile Packard Children’s Hospital, Palo Alto, CA, United States
s Division of Pediatric Neurosurgery, Gillette Children’s Hospital, St. Paul, MN, United States
t Division of Pediatric Neurosurgery, Children’s Hospital of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
u Department of Neurological Surgery, Weill Cornell Medical College, NewYork-Presbyterian Hospital, New York, NY, United States
v Department of Neurosurgery, University of Oklahoma, Oklahoma City, OK, United States
w Department of Neurosurgery, University of Minnesota Medical School, Minneapolis, MN, United States
x Department of Neurosurgery, Children’s Hospital Colorado, Aurora, CO, United States
y Division of Pediatric Neurosurgery, Children’s Hospital of Pennsylvania, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
z Department of Neurosurgery, Penn State Milton S. Hershey Medical Center, Hershey, PA, United States
aa Department of Neurological Surgery, University of Wisconsin at MadisonWI, United States
ab Department of Neurosurgery, Johns Hopkins University, School of Medicine, Baltimore, MD, United States
ac Department of Neurosurgery, Children’s National Medical Center, Washington, DC, United States
ad Division of Pediatric Neurosurgery, Children’s Hospital of Los AngelesCA, United States
ae Division of Pediatric Neurosurgery, Nationwide Children’s Hospital, Columbus, OH, United States
af Department of Neurosurgery, University of Michigan, Ann Arbor, MI, United States
ag Division of Pediatric Neurosurgery, Cincinnati Children’s Medical Center, Cincinnati, OH, United States
ah Division of Pediatric Neurosurgery, Arnold Palmer Hospital for Children, Orlando, FL, United States
ai Department of Neurological Surgery, University of Miami, School of Medicine, Miami, FL, United States
aj Department of Neurological Surgery and Doernbecher Children’s Hospital, Oregon Health and Science University, Portland, OR, United States
ak Division of Pediatric Neurosurgery, McGovern Medical School, Houston, TX, United States
al Division of Pediatric Neurosurgery, Monroe Carell Jr. Children’s Hospital of Vanderbilt University, Nashville, TN, United States
am Department of Radiology, Washington University School of Medicine, St. Louis, MO, United States
an Division of Pediatric Neurosurgery, Boston Children’s Hospital, Boston, MA, United States
ao Department of Neurosurgery, Neuroscience Institute, All Children’s Hospital, St. Petersburg, FL, United States
ap Carolina Neurosurgery and Spine Associates, Charlotte, NC, United States
aq Division of Pediatric Neurosurgery, Texas Children’s Hospital, Houston, TX, United States

Abstract
OBJECTIVE Posterior fossa decompression with duraplasty (PFDD) is commonly performed for Chiari I malformation (CM-I) with syringomyelia (SM). However, complication rates associated with various dural graft types are not well established. The objective of this study was to elucidate complication rates within 6 months of surgery among autograft and commonly used nonautologous grafts for pediatric patients who underwent PFDD for CM-I/SM. METHODS The Park-Reeves Syringomyelia Research Consortium database was queried for pediatric patients who had undergone PFDD for CM-I with SM. All patients had tonsillar ectopia ≥ 5 mm, syrinx diameter ≥ 3 mm, and ≥ 6 months of postoperative follow-up after PFDD. Complications (e.g., pseudomeningocele, CSF leak, meningitis, and hydrocephalus) and postoperative changes in syrinx size, headaches, and neck pain were compared for autograft versus nonautologous graft. RESULTS A total of 781 PFDD cases were analyzed (359 autograft, 422 nonautologous graft). Nonautologous grafts included bovine pericardium (n = 63), bovine collagen (n = 225), synthetic (n = 99), and human cadaveric allograft (n = 35). Autograft (103/359, 28.7%) had a similar overall complication rate compared to nonautologous graft (143/422, 33.9%) (p = 0.12). However, nonautologous graft was associated with significantly higher rates of pseudomeningocele (p = 0.04) and meningitis (p < 0.001). The higher rate of meningitis was influenced particularly by the higher rate of chemical meningitis (p = 0.002) versus infectious meningitis (p = 0.132). Among 4 types of nonautologous grafts, there were differences in complication rates (p = 0.02), including chemical meningitis (p = 0.01) and postoperative nausea/ vomiting (p = 0.03). Allograft demonstrated the lowest complication rates overall (14.3%) and yielded significantly fewer complications compared to bovine collagen (p = 0.02) and synthetic (p = 0.003) grafts. Synthetic graft yielded higher complication rates than autograft (p = 0.01). Autograft and nonautologous graft resulted in equal improvements in syrinx size (p < 0.0001). No differences were found for postoperative changes in headaches or neck pain. CONCLUSIONS In the largest multicenter cohort to date, complication rates for dural autograft and nonautologous graft are similar after PFDD for CM-I/SM, although nonautologous graft results in higher rates of pseudomeningocele and meningitis. Rates of meningitis differ among nonautologous graft types. Autograft and nonautologous graft are equivalent for reducing syrinx size, headaches, and neck pain. © 2021 American Association of Neurological Surgeons. All rights reserved.

Author Keywords
Chiari I malformation;  Dural augmentation;  Duraplasty;  Park-Reeves;  Posterior fossa decompression;  Syringomyelia

Funding details
National Institutes of HealthNIHU54 HD087011
University of WashingtonUW
Eunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNICHD

Document Type: Article
Publication Stage: Final
Source: Scopus

"Dysfunction of the proteoglycan Tsukushi causes hydrocephalus through altered neurogenesis in the subventricular zone in mice" (2021) Science Translational Medicine

Dysfunction of the proteoglycan Tsukushi causes hydrocephalus through altered neurogenesis in the subventricular zone in mice
(2021) Science Translational Medicine, 13 (587), art. no. e7896, . 

Ito, N.a b , Riyadh, M.A.a b c , Ahmad, S.A.I.a b d , Hattori, S.e , Kanemura, Y.f , Kiyonari, H.g , Abe, T.g , Furuta, Y.g h , Shinmyo, Y.a b i , Kaneko, N.j , Hirota, Y.j k , Lupo, G.l , Hatakeyama, J.m , Felemban Athary Abdulhaleem, M.a b n , Anam, M.B.a b o , Yamaguchi, M.p , Takeo, T.q , Takebayashi, H.r , Takebayashi, M.s , Oike, Y.t , Nakagata, N.q , Shimamura, K.m , Holtzman, M.J.u , Takahashi, Y.v w , Guillemot, F.x , Miyakawa, T.e , Sawamoto, K.j y , Ohta, K.a b o w z

a Department of Developmental Neurobiology, Graduate School of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan
b Stem Cell-Based Tissue Regeneration Research and Education Unit, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan
c Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
d Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail, 1902, Bangladesh
e Division of System Medical Science, Institute for Comprehensive Medical Science, Fujita Health University, Toyoake, 470-1192, Japan
f Department of Biomedical Research and Innovation, Institute for Clinical Research, National Hospital Organization Osaka National Hospital, 2-1-14, Hoensaka, Chuo-ku, Osaka, 540-0006, Japan
g Laboratory for Animal Resources and Genetic Engineering, RIKEN Center for Biosystems Dynamics Research, 2-2-3 Minatojima Minami-machi, Chuou-ku, Kobe, 650-0047, Japan
h Mouse Genetics Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10021, United States
i Department of Medical Neuroscience, Graduate School of Medical Sciences, Kanazawa University, 13-1, Takara-cho, Ishikawa, 920-8640, Japan
j Depart-ment of Developmental and Regenerative Neurobiology, Institute of Brain Science, Nagoya City University, Graduate School of Medical Sciences, Mizuho-cho, Mizuho-ku, Nagoya, 467-8601, Japan
k Keio University, School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
l Department of Biology and Biotechnology “C. Darwin”, Sapienza University of Rome, Piazzale Aldo Moro 5, Rome, 00185, Italy
m Department of Brain Morphogenesis, Institute of Molecular Embryology and Genetics, Kumamoto University, 2-2-1 Honjo, Chuo-ku, Kumamoto, 860-0811, Japan
n Department of Biology, Faculty of Applied Science, Umm Al-Qura University, Makkah, 21955, Saudi Arabia
o Program for Leading Graduate Schools “HIGO Program”, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan
p Department of Physiology, Kochi Medical School, Kochi University, Kochi, 783-8505, Japan
q Division of Reproductive Engineering, Center for Animal Resources and Development (CARD), Kumamoto University, 2-2-1 Honjo, Kumamoto, 860-0811, Japan
r Division of Neurobiology and Anatomy, Graduate School of Medical and Dental Sciences, Niigata University, 1-757 Asahimachi, Chuo-ku, Niigata 951-8510, Japan
s Department of Neuropsychiatry, Faculty of Life Science, Kumamoto University, Kumamoto, 860-8556, Japan
t Department of Molecular Genetics, Graduate School of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan
u Pulmonary and Critical Care Medicine, Department of Medicine, Washington University, School of Medicine, St. Louis, MO 63110-1093, United States
v Department of Zoology, Graduate School of Science, Kyoto University, Kitashirakawa, Sakyo-ku, Kyoto, 606-8502, Japan
w AMED Core Research for Evolutional Science and Technology (AMED-CREST), Japan Agency for Medical Research and Development (AMED), Chiyoda-ku, Tokyo, 100-0004, Japan
x The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, United Kingdom
y Divi-sion of Neural Development and Regeneration, National Institute for Physiological Sciences, Okazaki, 444-8585, Japan
z Department of Stem Cell Biology, Faculty of Arts and Science, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan

Abstract
The lateral ventricle (LV) is flanked by the subventricular zone (SVZ), a neural stem cell (NSC) niche rich in extrinsic growth factors regulating NSC maintenance, proliferation, and neuronal differentiation. Dysregulation of the SVZ niche causes LV expansion, a condition known as hydrocephalus; however, the underlying pathological mechanisms are unclear. We show that deficiency of the proteoglycan Tsukushi (TSK) in ependymal cells at the LV surface and in the cerebrospinal fluid results in hydrocephalus with neurodevelopmental disorder-like symptoms in mice. These symptoms are accompanied by altered differentiation and survival of the NSC lineage, disrupted ependymal structure, and dysregulated Wnt signaling. Multiple TSK variants found in patients with hydrocephalus exhibit reduced physiological activity in mice in vivo and in vitro. Administration of wild-type TSK protein or Wnt antagonists, but not of hydrocephalus-related TSK variants, in the LV of TSK knockout mice prevented hydrocephalus and preserved SVZ neurogenesis. These observations suggest that TSK plays a crucial role as a niche molecule modulating the fate of SVZ NSCs and point to TSK as a candidate for the diagnosis and therapy of hydrocephalus. Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works

Document Type: Article
Publication Stage: Final
Source: Scopus

"Defining Surgical Terminology and Risk for Brain Computer Interface Technologies" (2021) Frontiers in Neuroscience

Defining Surgical Terminology and Risk for Brain Computer Interface Technologies
(2021) Frontiers in Neuroscience, 15, art. no. 599549, . 

Leuthardt, E.C.a b c d e f g , Moran, D.W.a b , Mullen, T.R.h

a Department of Biomedical Engineering, Washington University, St. Louis, MO, United States
b Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, United States
c Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, United States
d Department of Mechanical Engineering and Materials Science, Washington University, St. Louis, MO, United States
e Center for Innovation in Neuroscience and Technology, Washington University School of Medicine, St. Louis, MO, United States
f Brain Laser Center, Washington University School of Medicine, St. Louis, MO, United States
g Division of Neurotechnology, Washington University School of Medicine, St. Louis, MO, United States
h Intheon Labs, San Diego, CA, United States

Abstract
With the emergence of numerous brain computer interfaces (BCI), their form factors, and clinical applications the terminology to describe their clinical deployment and the associated risk has been vague. The terms “minimally invasive” or “non-invasive” have been commonly used, but the risk can vary widely based on the form factor and anatomic location. Thus, taken together, there needs to be a terminology that best accommodates the surgical footprint of a BCI and their attendant risks. This work presents a semantic framework that describes the BCI from a procedural standpoint and its attendant clinical risk profile. We propose extending the common invasive/non-invasive distinction for BCI systems to accommodate three categories in which the BCI anatomically interfaces with the patient and whether or not a surgical procedure is required for deployment: (1) Non-invasive—BCI components do not penetrate the body, (2) Embedded—components are penetrative, but not deeper than the inner table of the skull, and (3) Intracranial –components are located within the inner table of the skull and possibly within the brain volume. Each class has a separate risk profile that should be considered when being applied to a given clinical population. Optimally, balancing this risk profile with clinical need provides the most ethical deployment of these emerging classes of devices. As BCIs gain larger adoption, and terminology becomes standardized, having an improved, more precise language will better serve clinicians, patients, and consumers in discussing these technologies, particularly within the context of surgical procedures. © Copyright © 2021 Leuthardt, Moran and Mullen.

Author Keywords
brain computer interface (BCI);  ECOG;  EEG;  local field potential;  neuroprosthetic;  single neuron;  surgical risk;  terminology

Document Type: Article
Publication Stage: Final
Source: Scopus

"IgG4-Related Disease of the Skull and Skull Base–A Systematic Review and Report of Two Cases" (2021) World Neurosurgery

IgG4-Related Disease of the Skull and Skull Base–A Systematic Review and Report of Two Cases
(2021) World Neurosurgery, . 

Cler, S.J.a , Sharifai, N.b , Baker, B.c , Dowling, J.L.a , Pipkorn, P.d , Yaeger, L.f , Clifford, D.B.c e , Dahiya, S.b , Chicoine, M.R.a

a Department of Neurosurgery, Washington University School of Medicine, Washington, DC, United States
b Department of Pathology and Immunology, Washington University School of Medicine, Washington, DC, United States
c Department of Neurology, Washington University School of Medicine, Washington, DC, United States
d Department of Otolaryngology, Washington University School of Medicine, Washington, DC, United States
e Department of Infectious Disease, Washington University School of Medicine, Washington, DC, United States
f Bernard Becker Medical Library, Washington University School of Medicine, Washington, DC, United States

Abstract
Objective: IgG4-related disease (IgG4-RD) is an inflammatory process that uncommonly can present in the skull base and calvarium and mimic a tumor but the nature of this condition is not well summarized in the neurosurgical literature. Methods: A review was performed of 2 cases of IgG4-RD in the skull base highlighting the diagnostic challenges with assessment of these skull base lesions, and a systematic review of relevant literature was carried out. Results: A systematic review of the literature conducted in accordance with PRISMA guidelines identified 113 articles, with 184 cases of IgG4-RD in the skull base or calvarium. The most commonly affected locations include the meninges, cavernous sinus, base of the posterior fossa, clivus, and mastoid bone. Headache, visual and auditory disturbances, cranial nerve dysfunction, and seizures were the most common presenting symptoms. Medical treatment was highly successful and most commonly consisted of corticosteroids coadministered with immunosuppressive agents such as rituximab. Prevalence seemed to be equal between sexes, and serum IgG4 levels were increased in 61% of patients. Delayed diagnosis and a need for multiple biopsies were reported in numerous cases. Two cases of skull base IgG4-RD from the authors’ institution show the variable presentations of this disease. More invasive surgical biopsies were required in both cases, and corticosteroid treatment led to significant clinical improvement. Conclusions: IgG4-RD is an uncommon condition with an increasing body of reported cases that can affect the skull base and calvarium and should be in the differential diagnosis, because delay in diagnosis and treatment may be common. © 2021

Author Keywords
Calvarium;  IgG4-related disease;  Skull base

Funding details
UL1 TR000448
National Institutes of HealthNIH
National Institute of Mental HealthNIMH
National Institute on AgingNIA
National Heart, Lung, and Blood InstituteNHLBI
National Cancer InstituteNCIP30 CA091842
National Institute of Allergy and Infectious DiseasesNIAID
National Institute of Neurological Disorders and StrokeNINDS
National Center for Advancing Translational SciencesNCATS
Alvin J. Siteman Cancer Center
Mitsubishi Tanabe Pharma CorporationMTPC

Document Type: Review
Publication Stage: Article in Press
Source: Scopus

"Towards a Data-Driven Approach to Screen for Autism Risk at 12 Months of Age" (2021) Journal of the American Academy of Child and Adolescent Psychiatry

Towards a Data-Driven Approach to Screen for Autism Risk at 12 Months of Age
(2021) Journal of the American Academy of Child and Adolescent Psychiatry, . 

Meera, S.S.a b , Donovan, K.a , Wolff, J.J.c , Zwaigenbaum, L.d , Elison, J.T.c , Kinh, T.a , Shen, M.D.a , Estes, A.M.e , Hazlett, H.C.a , Watson, L.R.a , Baranek, G.T.f , Swanson, M.R.g , St. John, T.e , Burrows, C.A.c , Schultz, R.T.h , Dager, S.R.e , Botteron, K.N.i , Pandey, J.h , Piven, J.a , IBIS Networkj

a Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill
b The National Institute of Mental Health and Neurosciences, Bangalore, India
c University of Minnesota, Minneapolis, United States
d University of Alberta, Edmonton, Canada; and the Autism Research Centre, Glenrose Rehabilitation Hospital, Edmonton, Canada
e University of Washington, Seattle, United States
f University of Southern California, Los Angeles
g University of Texas at Dallas, Richardson, United States
h Children’s Hospital of Philadelphia, University of Pennsylvania
i Washington University in St. LouisMO, United States

Abstract
Objective: This study aimed to develop a classifier for infants at 12 months of age based on a parent-report measure (the First Year Inventory v.2.0 [FYI]), for the following reasons: (1) to classify infants at elevated risk, above and beyond that attributable to familial risk status for ASD; and (2) to serve as a starting point to refine an approach for risk estimation in population samples. Method: A total of 54 high−familial risk (HR) infants later diagnosed with ASD (HR-ASD), 183 HR infants not diagnosed with ASD at 24 months of age (HR-Neg), and 72 low-risk controls participated in the study. All infants contributed FYI data at 12 months of age and had a diagnostic assessment for ASD at age 24 months. A data-driven, cross-validated analytic approach was used to develop a classifier to determine screening accuracy (eg, sensitivity) of the FYI to classify HR-ASD and HR-Neg. Results: The newly developed FYI classifier had an estimated sensitivity of 0.71 (95% CI: 0.50, 0.91) and specificity of 0.72 (95% CI: 0.49, 0.91). Conclusion: This classifier demonstrates the potential to improve current screening for ASD risk at 12 months of age in infants already at elevated familial risk for ASD, increasing opportunities for detection of autism risk in infancy. Findings from this study highlight the utility of combining parent-report measures with machine learning approaches. © 2020 American Academy of Child and Adolescent Psychiatry

Author Keywords
autism spectrum disorder;  first year;  high-risk;  parent report;  screening

Funding details
USIEF-2264/FNDPR/2017
National Institutes of HealthNIHR01-HD055741, U54HD079124
National Institute of Mental HealthNIMH
National Institute of Neurological Disorders and StrokeNINDS
National Institute of Environmental Health SciencesNIEHS
Simons FoundationSF
University of North CarolinaUNC
University of MinnesotaUMN
University of Utah
University of WashingtonUW
Eunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNICHD
Simons Foundation Autism Research InitiativeSFARI140209
University of AlbertaUofA

Document Type: Article
Publication Stage: Article in Press
Source: Scopus

"Survival implications of prescription opioid and benzodiazepine use in lung transplant recipients: Analysis of linked transplant registry and pharmacy fill records" (2021) Journal of Heart and Lung Transplantation

Survival implications of prescription opioid and benzodiazepine use in lung transplant recipients: Analysis of linked transplant registry and pharmacy fill records
(2021) Journal of Heart and Lung Transplantation, . 

Lentine, K.L.a , Salvalaggio, P.R.b , Caliskan, Y.a , Lam, N.N.c , McAdams-DeMarco, M.d , Axelrod, D.e , Segev, D.L.d , Myaskovsky, L.f , Dew, M.A.g , Bruschwein, H.h , Levine, D.J.i , Sweet, S.j , Hess, G.P.k , Kasiske, B.L.l , Schnitzler, M.A.a

a Saint Louis Transplant Center, St. Louis, MO, United States
b Hospital Israelita Albert Einstein, Sao Paulo, Brazil
c University of Calgary, Calgary, AB, Canada
d Johns Hopkins School of Medicine, Baltimore, MD, United States
e University of Iowa, Iowa City, IA, United States
f University of New Mexico, Albuquerque, NM, United States
g University of Pittsburgh, Pittsburgh, PA, United States
h University of Virginia School of MedicineVA, United States
i University of Texas, San Antonio, TX, United States
j Washington University, St. Louis, MT, United States
k Drexel University, Philadelphia, PA, United States
l Hennepin County Med Center, Minneapolis, MN, United States

Abstract
Background: Prescription opioid and benzodiazepine use have been associated with morbidity and mortality among some groups of solid organ transplant recipients, but implications for outcomes among lung transplant patients are not well described. Methods: We conducted a retrospective cohort study using linked national transplant registry and pharmaceutical records to characterize the associations between benzodiazepine and opioid prescription fills in the years before and after lung transplant (2006-2017), with risk-adjusted posttransplant survival (adjusted hazard ratio, LCLaHRUCL). Results: Among 11,568 recipients, 33.7% filled an opioid prescription, and 25.8% filled a benzodiazepine prescription before transplant. Compared to patients without prescriptions, those who filled both short- and long-acting benzodiazepine prescriptions before transplant had 2-fold higher mortality in the first year posttransplant (aHR, 1.392.123.21), after adjustment for baseline factors and opioid fills, while pretransplant opioid fills were not associated with posttransplant mortality after adjustment for benzodiazepine fills. Pretransplant opioid and benzodiazepine use strongly predicted more use after transplant. Fills of both short- and long-acting benzodiazepines in the first year posttransplant were associated with 77% increased mortality &gt;1-to-2 years posttransplant (aHR, 1.061.772.96). Compared with no posttransplant opioid fills, there was a dose-dependent association between first-year opioid fills and subsequent adjusted mortality risk (level 2: aHR, 1.171.501.92 to level 4: aHR, 1.562.012.59). These effects were independent, and interactions were not detected. Conclusions: Benzodiazepine prescription fills before and after lung transplant, and opioid fills after transplant, are independently associated with posttransplant mortality. Review of benzodiazepine and opioid use history is relevant to risk-stratifying patients before and after lung transplant. © 2021 International Society for Heart and Lung Transplantation

Author Keywords
benzodiazepines;  lung transplant;  mortality;  opioids;  pharmacy fills

Funding details
National Institute of Diabetes and Digestive and Kidney DiseasesNIDDKR01DK120518
Government of South Australia

Document Type: Article
Publication Stage: Article in Press
Source: Scopus

"Biochemical evaluation of intracerebroventricular rhNAGLU-IGF2 enzyme replacement therapy in neonatal mice with Sanfilippo B syndrome" (2021) Molecular Genetics and Metabolism

Biochemical evaluation of intracerebroventricular rhNAGLU-IGF2 enzyme replacement therapy in neonatal mice with Sanfilippo B syndrome
(2021) Molecular Genetics and Metabolism, . 

Kan, S.-H.a b , Elsharkawi, I.c , Le, S.Q.a c , Prill, H.d , Mangini, L.d , Cooper, J.D.a c , Lawrence, R.d , Sands, M.S.c , Crawford, B.E.d , Dickson, P.I.a c

a Department of Pediatrics, The Lundquist Institute (formally Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA 90502, United States
b CHOC Research Institute, Orange, CA 92868, United States
c Department of Pediatrics, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, United States
d Biology Research, BioMarin Pharmaceutical Inc., Novato, CA 94949, United States

Abstract
Mucopolysaccharidosis IIIB (MPS IIIB, Sanfilippo syndrome type B) is caused by a deficiency in α-N-acetylglucosaminidase (NAGLU) activity, which leads to the accumulation of heparan sulfate (HS). MPS IIIB causes progressive neurological decline, with affected patients having an expected lifespan of approximately 20 years. No effective treatment is available. Recent pre-clinical studies have shown that intracerebroventricular (ICV) ERT with a fusion protein of rhNAGLU-IGF2 is a feasible treatment for MPS IIIB in both canine and mouse models. In this study, we evaluated the biochemical efficacy of a single dose of rhNAGLU-IGF2 via ICV-ERT in brain and liver tissue from Naglu−/− neonatal mice. Twelve weeks after treatment, NAGLU activity levels in brain were 0.75-fold those of controls. HS and β-hexosaminidase activity, which are elevated in MPS IIIB, decreased to normal levels. This effect persisted for at least 4 weeks after treatment. Elevated NAGLU and reduced β-hexosaminidase activity levels were detected in liver; these effects persisted for up to 4 weeks after treatment. The overall therapeutic effects of single dose ICV-ERT with rhNAGLU-IGF2 in Naglu−/− neonatal mice were long-lasting. These results suggest a potential benefit of early treatment, followed by less-frequent ICV-ERT dosing, in patients diagnosed with MPS IIIB. © 2021 Elsevier Inc.

Author Keywords
Heparan sulfate;  Intracerebroventricular enzyme replacement therapy (ICV-ERT);  Mucopolysaccharidosis IIIB;  Neonatal mice;  Sanfilippo syndrome type B

Funding details
National Institutes of HealthNIHGM8432-27 /28, R01 NS088766, R61 NS111079-01
BioMarin Pharmaceutical

Document Type: Article
Publication Stage: Article in Press
Source: Scopus

"Applying confidence accuracy characteristic plots to old/new recognition memory experiments" (2021) Memory

Applying confidence accuracy characteristic plots to old/new recognition memory experiments
(2021) Memory, . 

Tekin, E.a , DeSoto, K.A.b , Wixted, J.H.c , Roediger III, H.L.a

a Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, United States
b Association for Psychological Science, Washington, DC, United States
c Department of Psychology, University of California San Diego, San Diego, CA, United States

Abstract
Confidence-accuracy characteristic (CAC) plots were developed for use in eyewitness identification experiments, and previous findings show that high confidence indicates high accuracy in all studies of adults with an unbiased lineup. We apply CAC plots to standard old/new recognition memory data by calculating response-based and item-based accuracy, one using false alarms and the other using misses. We use both methods to examine the confidence-accuracy relationship for both correct old responses (hits) and new responses (correct rejections). We reanalysed three sets of published data using these methods and show that the method chosen, as well as the relation of lures to targets, determines the confidence-accuracy relation. Using response-based accuracy for hits, high confidence yields quite high accuracy, and this is generally true with the other methods, especially when lures are unrelated to targets. However, when analyzing correct rejections, the relationship between confidence and accuracy is less pronounced. When lures are semantically related to targets, the various CAC plots show different confidence-accuracy relations. The different methods of calculating CAC plots provide a useful tool in analyzing standard old/new recognition experiments. The results generally accord with unequal-variance signal detection models of recognition memory. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

Author Keywords
accuracy;  confidence;  Confidence-accuracy characteristic plot;  recognition memory

Document Type: Article
Publication Stage: Article in Press
Source: Scopus

"Cognitive dysfunction among people with systemic lupus erythematosus is associated with reduced participation in daily life" (2021) Lupus

Cognitive dysfunction among people with systemic lupus erythematosus is associated with reduced participation in daily life
(2021) Lupus, . 

Kim, M.Y.a , Sen, D.b , Drummond, R.R.a , Brandenburg, M.C.a , Biesanz, K.L.P.a , Kim, A.H.J.b , Eisen, S.A.b , Baum, C.M.a , Foster, E.R.a

a Program in Occupational Therapy, Washington University School of Medicine, St. LouisMO, United States
b Division of Rheumatology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, United States

Abstract
Objectives: This study aimed to investigate the distribution of cognitive function in people with systemic lupus erythematosus (SLE) by objective and self-report measures and associations between cognition and participation among people with SLE. Methods: Fifty-five volunteers with SLE (age: 39.7 ± 12.7yrs, female: 92.7%) completed the Montreal Cognitive Assessment (MoCA) to measure cognitive ability objectively, the Cognitive Symptom Inventory (CSI) and PROMIS Cognitive Function 8a (CF) to assess self-reported everyday cognition, and PROMIS-43 Profile to assess self-reported ability to participate in social roles and activities (participation) and other disease-associated symptoms (e.g., depression, pain, fatigue). Results: The average MoCA score was 25.3 ± 3.1, with 47.3% of participants scoring <26, which is indicative of cognitive impairment. Group average CSI (35.8 ± 7.9), CF (T-score = 45.0 ± 8.5), and participation (T-score = 46.9 ± 11.2) scores suggest mildly impaired functional cognition and participation compared to normative data. Participation correlated with self-reported everyday cognition measures (r ≥ 0.56, p < 0.01) but not with MoCA (r = 0.25, p = 0.06). In hierarchical linear regression analysis, CSI, fatigue, and pain were each significant independent predictors of participation (R2 = 0.78, p < 0.01). Conclusions: We found that cognitive dysfunction is common among people with SLE. Along with pain and fatigue, reduced everyday cognitive function contributes to reduced participation in social, leisure, work, and family-related activities. © The Author(s) 2021.

Author Keywords
cognitive dysfunction;  participation;  Systemic lupus erythematosus

Document Type: Article
Publication Stage: Article in Press
Source: Scopus

"Lesion Quantification Toolkit: A MATLAB software tool for estimating grey matter damage and white matter disconnections in patients with focal brain lesions" (2021) NeuroImage: Clinical

Lesion Quantification Toolkit: A MATLAB software tool for estimating grey matter damage and white matter disconnections in patients with focal brain lesions
(2021) NeuroImage: Clinical, 30, art. no. 102639, . 

Griffis, J.C.a , Metcalf, N.V.a , Corbetta, M.a b c d e f , Shulman, G.L.a b

a Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, United States
b Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, United States
c Department of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, MO 63110, United States
d Department of Bioengineering, Washington University School of Medicine, St. Louis, MO 63110, United States
e Department of Neuroscience, University of Padua, Padua, Italy
f Padua Neuroscience Center, Padua, Italy

Abstract
Lesion studies are an important tool for cognitive neuroscientists and neurologists. However, while brain lesion studies have traditionally aimed to localize neurological symptoms to specific anatomical loci, a growing body of evidence indicates that neurological diseases such as stroke are best conceptualized as brain network disorders. While researchers in the fields of neuroscience and neurology are therefore increasingly interested in quantifying the effects of focal brain lesions on the white matter connections that form the brain’s structural connectome, few dedicated tools exist to facilitate this endeavor. Here, we present the Lesion Quantification Toolkit, a publicly available MATLAB software package for quantifying the structural impacts of focal brain lesions. The Lesion Quantification Toolkit uses atlas-based approaches to estimate parcel-level grey matter lesion loads and multiple measures of white matter disconnection severity that include tract-level disconnection measures, voxel-wise disconnection maps, and parcel-wise disconnection matrices. The toolkit also estimates lesion-induced increases in the lengths of the shortest structural paths between parcel pairs, which provide information about changes in higher-order structural network topology. We describe in detail each of the different measures produced by the toolkit, discuss their applications and considerations relevant to their use, and perform example analyses using real behavioral data collected from sub-acute stroke patients. We show that analyses performed using the different measures produced by the toolkit produce results that are highly consistent with results that have been reported in the prior literature, and we demonstrate the consistency of results obtained from analyses conducted using the different disconnection measures produced by the toolkit. We anticipate that the Lesion Quantification Toolkit will empower researchers to address research questions that would be difficult or impossible to address using traditional lesion analyses alone, and ultimately, lead to advances in our understanding of how white matter disconnections contribute to the cognitive, behavioral, and physiological consequences of focal brain lesions. © 2021

Author Keywords
Disconnectome;  Lesion mapping;  Lesion methods;  Structural disconnection;  White matter disconnection

Funding details
National Institutes of HealthNIH
NIH Blueprint for Neuroscience Research
McDonnell Center for Systems Neuroscience

Document Type: Article
Publication Stage: Final
Source: Scopus

"The World Federation of ADHD International Consensus Statement: 208 Evidence-based conclusions about the disorder" (2021) Neuroscience and Biobehavioral Reviews

The World Federation of ADHD International Consensus Statement: 208 Evidence-based conclusions about the disorder
(2021) Neuroscience and Biobehavioral Reviews, . Cited 1 time.

Faraone, S.V.a b c , Banaschewski, T.d e f , Coghill, D.g , Zheng, Y.h i j k l m , Biederman, J.n o , Bellgrove, M.A.p q , Newcorn, J.H.c r , Gignac, M.s t u , Al Saud, N.M.v , Manor, I.w x , Rohde, L.A.y , Yang, L.l z aa , Cortese, S.ab ac ad ae af , Almagor, D.ag ah , Stein, M.A.ai aj , Albatti, T.H.ak , Aljoudi, H.F.al am , Alqahtani, M.M.J.an ao , Asherson, P.ap , Atwoli, L.aq ar as at , Bölte, S.au av aw , Buitelaar, J.K.ax , Crunelle, C.L.ay az , Daley, D.ba bb , Dalsgaard, S.bc bd , Döpfner, M.be bf , Espinet, S.bg , Fitzgerald, M.bh , Franke, B.bi bj , Gerlach, M.fe , Haavik, J.bk bl , Hartman, C.A.bm bn bo bp , Hartung, C.M.bq , Hinshaw, S.P.br bs , Hoekstra, P.J.bt , Hollis, C.ae bu bv bw , Kollins, S.H.bx by , Sandra Kooij, J.J.bz ca cb cc du , Kuntsi, J.cd , Larsson, H.ce cf , Li, T.cg ch ci , Liu, J.l z aa cj ck , Merzon, E.cl cm cn co , Mattingly, G.cp fd , Mattos, P.cq cr cs , McCarthy, S.ct , Mikami, A.Y.cu , Molina, B.S.G.cv , Nigg, J.T.cw , Purper-Ouakil, D.cx cy , Omigbodun, O.O.cz da , Polanczyk, G.V.db , Pollak, Y.dc dd , Poulton, A.S.de df , Rajkumar, R.P.dg , Reding, A.dh , Reif, A.di dj , Rubia, K.b dk dl , Rucklidge, J.dm , Romanos, M.dn do dp , Ramos-Quiroga, J.A.dq dr ds dt du dv dw , Schellekens, A.az dx , Scheres, A.dy , Schoeman, R.dz ea eb ec ed ee , Schweitzer, J.B.ef , Shah, H.eg , Solanto, M.V.eh ei ej ek , Sonuga-Barke, E.el em , Soutullo, C.c dl en , Steinhausen, H.-C.eo ep eq er , Swanson, J.M.es , Thapar, A.et , Tripp, G.eu , van de Glind, G.ev , Brink, W.V.D.ew , Van der Oord, S.ex ey , Venter, A.ez , Vitiello, B.fa fb , Walitza, S.fc , Wang, Y.l z aa

a Departments of Psychiatry and Neuroscience and Physiology, Psychiatry Research Division, SUNY Upstate Medical University, Syracuse, NY, United States
b World Federation of ADHD, Switzerland
c American Professional Society of ADHD and Related Disorders (APSARD), United States
d Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
e Child and Adolescent Psychiatrist’s Representative, Zentrales-ADHS-Netz, Germany
f The German Association of Child and Adolescent Psychiatry and Psychotherapy, Germany
g Departments of Paediatrics and Psychiatry, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia
h Beijing Anding Hospital, Capital Medical University, Beijing, China
i The National Clinical Research Center for Mental Disorders, Beijing, China
j Beijing Key Laboratory of Mental Disorders, Beijing, China
k Beijing Institute for Brain Disorders, Beijing, China
l Asian Federation of ADHD, China
m Chinese Society of Child and Adolescent Psychiatry, China
n Clinical & Research Programs in Pediatric Psychopharmacology & Adult ADHD, Massachusetts General Hospital, Boston, MA, United States
o Department of Psychiatry, Harvard Medical School, Boston, MA, United States
p Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, VIC, Australia
q Australian ADHD Professionals Association (AADPA), Australia
r Departments of Psychiatry and Pediatrics, Division of ADHD and Learning Disorders, Icahn School of Medicine at Mount Sinai, New York, NY, United States
s Department of Child and Adolescent Psychiatry, Montreal Children’s Hospital, MUHC, Montreal, Canada
t Child and Adolescent Psychiatry Division, McGill University, Montreal, Canada
u Canadian ADHD Research Alliance (CADDRA), Canada
v Saudi ADHD Society, Saudi Arabia
w Chair, Israeli Society of ADHD (ISA), Israel
x Co-chair of the neurodevelopmental section in EPA (the European Psychiatric Association), France
y Department of Psychiatry, Federal University of Rio Grande do Sul, Brazil
z Peking University Sixth Hospital/Institute of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
aa NHC Key Laboratory of Mental Health (Peking University), Beijing, China
ab Center for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, United Kingdom
ac Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, Southampton, United Kingdom
ad Solent NHS Trust, Southampton, United Kingdom
ae Hassenfeld Children’s Hospital at NYU Langone, New York University Child Study Center, New York City, New York, USA; Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham, United Kingdom
af University of Nottingham, Nottingham, United Kingdom
ag University of Toronto, SickKids Centre for Community Mental Health, Toronto, Canada
ah Canadian ADHD Research Alliance (CADDRA), Canada
ai University of Washington, Seattle, WA, United States
aj Seattle Children’s Hospital, Seattle, WA, United States
ak Saudi ADHD Society Medical and Psychological Committee, Saudi Arabia
al King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia
am Saudi ADHD Society Medical and Psychological Committee, Saudi Arabia
an Clinical Psychology, King Khalid University, Abha, Saudi Arabia
ao Saudi ADHD Society, Saudi Arabia
ap Social Genetic & Developmental Psychiatry, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, United Kingdom
aq Department of Mental Health and Behavioural Science, Moi University School of Medicine, Eldoret, Kenya
ar Brain and Mind Institute, and Department of Internal Medicine, Medical College East Africa, the Aga Khan University, Kenya
as African College of Psychopharmacology, Kenya
at African Association of Psychiatrists, Kenya
au Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research; Department of Women’s and Children’s Health, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Sweden
av Child and Adolescent Psychiatry, Stockholm Healthcare Services, Region Stockholm, Sweden
aw Curtin Autism Research Group, School of Occupational Therapy, Social Work and Speech Pathology, Curtin University, Perth, Western Australia, Australia
ax Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, Netherlands
ay Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Dept. of Psychiatry, Brussel, Belgium
az International Collaboration on ADHD and Substance Abuse (ICASA), Nijmegen, Netherlands
ba Division of Psychiatry and Applied Psychology, School of Medicine University of Nottingham, Nottingham, United Kingdom
bb NIHR MindTech Mental Health MedTech Cooperative & Centre for ADHD and Neurodevelopmental Disorders Across the Lifespan (CANDAL), Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom
bc National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
bd The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
be Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, School of Child and Adolescent Cognitive Behavior Therapy (AKiP), Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany
bf Zentrales-ADHS-Netz, Germany
bg Canadian ADHD Resource Alliance (CADDRA), Canada
bh Trinity College, Dublin, Ireland
bi Departments of Human Genetics and Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
bj Professional Board, ADHD Europe, Belgium
bk Department of Biomedicine, University of Bergen, Bergen, Norway
bl Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
bm University of Groningen, Groningen, Netherlands
bn University Medical Center Groningen, Groningen, Netherlands
bo Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, Netherlands
bp ADHD Across the Lifespan Network from European College of Neuropsychopharmacology(ECNP), Netherlands
bq Department of Psychology, University of Wyoming, Laramie, WY, United States
br University of California, Berkeley, CA, United States
bs University of California, San Francisco, CA, United States
bt University of Groningen, University Medical Center Groningen, Department of Child and Adolescent Psychiatry, Groningen, Netherlands
bu Nottinghamshire Healthcare NHS Foundation Trust, Nottingham, United Kingdom
bv NIHR MindTech MedTech Co-operative, Nottingham, United Kingdom
bw NIHR Nottingham Biomedical Research Centre, Nottingham, United Kingdom
bx Duke University School of Medicine, Durham, NC, United States
by Duke Clinical Research Institute, Durham, NC, United States
bz Amsterdam University Medical Center (VUMc), Amsterdam, Netherlands
ca PsyQ, The Hague, Netherlands
cb European Network Adult ADHD, Netherlands
cc DIVA Foundation, Netherlands
cd Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
ce School of Medical Sciences, Örebro University, Örebro, Sweden
cf Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden
cg Growth, Development and Mental Health Center for Children and Adolescents, Children’s Hospital of Chongqing Medical University, Chongqing, China
ch National Research Center for Clinical Medicine of Child Health and Disease, Chongqing, China
ci The Subspecialty Group of Developmental and Behavioral Pediatrics, the Society of Pediatrics, Chinese Medical Association, China
cj The Chinese Society of Child and Adolescent Psychiatry, China
ck The Asian Society for Child and Adolescent Psychiatry and Allied Professions, China
cl Department of Family Medicine, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
cm Leumit Health Services, Tel Aviv, Israel
cn Israeli Society of ADHD, Israel
co Israeli National Diabetes Council, Israel
cp Washington University, St. Louis, MO, United States
cq Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
cr D’Or Institute for Research and Education, Rio de Janeiro, Brazil
cs Brazilian Attention Deficit Association (ABDA), Brazil
ct School of Pharmacy, University College Cork, Cork, Ireland
cu University of British Columbia, Vancouver, BC, Canada
cv Departments of Psychiatry, Psychology, Pediatrics, Clinical & Translational Science, University of Pittsburgh, Pittsburgh, PA, United States
cw Center for ADHD Research, Department of Psychiatry, Oregon Health & Science University, Portland, OR, United States
cx University of Montpellier, CHU Montpellier Saint Eloi, MPEA, Medical and Psychological Unit for Children and Adolescents (MPEA), Montpellier, France
cy INSERM U 1018 CESP-Developmental Psychiatry, France
cz Centre for Child & Adolescent Mental Health, College of Medicine, University of Ibadan, Ibadan, Nigeria
da Department of Child & Adolescent Psychiatry, University College Hospital, Ibadan, Nigeria
db Faculdade de Medicina FMUSP, University of São Paulo, Sao Paulo, SP, Brazil
dc Seymour Fox School of Education, The Hebrew University of Jerusalem, Israel
dd The Israeli Society of ADHD (ISA), Israel
de Brain Mind Centre Nepean, University of Sydney, Sydney, Australia
df Australian ADHD Professionals Association (AADPA), Australia
dg Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry, India
dh United States
di Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
dj German Psychiatric Association, Germany
dk Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neurosciences, King’s College London, London, United Kingdom
dl European Network for Hyperkinetic Disorders (EUNETHYDIS), Germany
dm School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
dn Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany
do The German Association of Child and Adolescent Psychiatry and Psychotherapy, Germany
dp Zentrales-ADHS-Netz, Germany
dq Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Catalonia, Spain
dr Group of Psychiatry, Mental Health and Addictions, Vall d’Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain
ds Biomedical Network Research Centre on Mental Health (CIBERSAM), Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
dt Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
du Neurodevelopmental Disorders Across Lifespan Section of European Psychiatric Association, France
dv International Collaboration on ADHD and Substance Abuse (ICASA), Netherlands
dw DIVA Foundation, Netherlands
dx Radboud University Medical Centre, Donders Institute for Brain, Cognition, and Behavior, Department of Psychiatry, Nijmegen, Netherlands
dy Behavioural Science Institute, Radboud University, Nijmegen, Netherlands
dz University of Stellenbosch Business School, Cape Town, South Africa
ea South African Special Interest Group for Adult ADHD, South Africa
eb The South African Society of Psychiatrists/Psychiatry Management Group Management Guidelines for ADHD, South Africa
ec World Federation of Biological Psychiatry, Germany
ed American Psychiatric Association, United States
ee Association for NeuroPsychoEconomics, United States
ef Department of Psychiatry and Behavioral Sciences and the MIND Institute, University of California, Davis, Sacramento, CA, United States
eg Topiwala National Medical College & BYL Nair Ch. Hospital, Mumbai, India
eh The Zucker School of Medicine at Hofstra-Northwell, Northwell Health, Hemstead, NY, United States
ei Children and Adults with Attention-Deficit/Hyperactivity Disorder (CHADD), United States
ej American Professional Society of ADHD and Related Disorders (APSARD), United States
ek National Center for Children with Learning Disabilities (NCLD), United States
el Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
em Department of Child & Adolescent Psychiatry, Aarhus University, Aarhus, Denmark
en Louis A. Faillace MD, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, United States
eo University of Zurich, CH, Switzerland
ep University of Basel, CH, Switzerland
eq University of Southern Denmark, Odense, Denmark
er Centre of Child and Adolescent Mental Health, Copenhagen, Denmark
es Department of Pediatrics, University of California Irvine, Irvine, CA, United States
et Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University School of MedicineWales, United Kingdom
eu Human Developmental Neurobiology Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
ev Hogeschool van Utrecht/University of Applied Sciences, Utrecht, Netherlands
ew Amsterdam University Medical Centers, Academic Medical Center, Amsterdam, Netherlands
ex Psychology and Educational Sciences, KU Leuven, Leuven, Belgium
ey European ADHD Guidelines Group, Germany
ez University of the Free State, Bloemfontein, South Africa
fa University of Torino, Torino, Italy
fb Johns Hopkins University School of Public Health, Baltimore, MD, United States
fc Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland
fd Midwest Research Group, St Charles, MO, United States
fe Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Wuerzburg, Wuerzburg, Germany

Abstract
Background: Misconceptions about ADHD stigmatize affected people, reduce credibility of providers, and prevent/delay treatment. To challenge misconceptions, we curated findings with strong evidence base. Methods: We reviewed studies with more than 2000 participants or meta-analyses from five or more studies or 2000 or more participants. We excluded meta-analyses that did not assess publication bias, except for meta-analyses of prevalence. For network meta-analyses we required comparison adjusted funnel plots. We excluded treatment studies with waiting-list or treatment as usual controls. From this literature, we extracted evidence-based assertions about the disorder. Results: We generated 208 empirically supported statements about ADHD. The status of the included statements as empirically supported is approved by 80 authors from 27 countries and 6 continents. The contents of the manuscript are endorsed by 366 people who have read this document and agree with its contents. Conclusions: Many findings in ADHD are supported by meta-analysis. These allow for firm statements about the nature, course, outcome causes, and treatments for disorders that are useful for reducing misconceptions and stigma. © 2021 The Author(s)

Author Keywords
ADHD;  Brain;  Course;  Diagnosis;  Genetics;  Outcome;  Treatment

Funding details
2014CB846100
2018zdxm012
National Institutes of HealthNIHES026993, R01
National Institute of Mental HealthNIMH5R01MH101519, U01 MH109536-01
National Institute on Drug AbuseNIDA
National Institute of General Medical SciencesNIGMS
John Templeton FoundationJTF
Eli Lilly and Company
Pfizer
Genentech
Novartis
Minnesota Department of HealthMDH
Institute of Education SciencesIES
Massachusetts General HospitalMGH10,245,271 B2, 14/027,676, 61/233,686
American Academy of Child and Adolescent PsychiatryAACAP
Harvard University
Takeda Pharmaceuticals U.S.A.TPUSA
Takeda Pharmaceutical CompanyTPC
Janssen Pharmaceuticals
Sunovion
Wellcome TrustWT
Horizon 2020 Framework ProgrammeH2020847879
Chiropractic and Osteopathic College of AustralasiaCOCA
Waterloo FoundationTWF
Broad Institute
Manchester Biomedical Research CentreBRC14/23/17, NF-SI-0616-10040
Social Sciences and Humanities Research Council of CanadaSSHRC
Michael Smith Foundation for Health ResearchMSFHR
Medical Research CouncilMRC
Economic and Social Research CouncilESRC
National Institute for Health ResearchNIHR
British Association for PsychopharmacologyBAP
European CommissionEC
National Health and Medical Research CouncilNHMRC
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungSNF
Københavns UniversitetKU
Fundação de Amparo à Pesquisa do Estado de São PauloFAPESP2016/22455-8
National Natural Science Foundation of ChinaNSFC81671358, 81873803
ZonMw
Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorCAPES
Bundesministerium für Bildung und ForschungBMBF01EE1408
Generalitat de Catalunya
Nederlandse Organisatie voor Wetenschappelijk OnderzoekNWO016–130-669
LundbeckfondenR248-2017-2003
Conselho Nacional de Desenvolvimento Científico e TecnológicoCNPq310582/2017-2
KU Leuven
Novo Nordisk
Fundação de Amparo à Pesquisa do Estado do Rio Grande do SulFAPERGS
Shire
Seventh Framework ProgrammeFP7602805
Helsefonden19-8-0260
Ministry of Health, State of Israel
TrygFonden109399
Horizon 2020667302, 728018
Shanghai Key Laboratory of Navigation and Location Based ServicesNLS
Peking University Third HospitalPUTHSZSM201612036
Novo Nordisk FondenNNF22018
Sanming Project of Medicine in Shenzhen
Major State Basic Research Development Program of China
H. Lundbeck A/S

Document Type: Review
Publication Stage: Article in Press
Source: Scopus

"The role of prior-event retrieval in encoding changed event features" (2021) Memory and Cognition

The role of prior-event retrieval in encoding changed event features
(2021) Memory and Cognition, . 

Hermann, M.M.a , Wahlheim, C.N.b , Alexander, T.R.b , Zacks, J.M.a

a Department of Psychological and Brain Sciences, Washington University in St. Louis, 419B Somers Family Hall, St. Louis, MO 63130, United States
b Department of Psychology, University of North Carolina at Greensboro, Greensboro, NC 27412, United States

Abstract
When people experience everyday activities, their comprehension can be shaped by expectations that derive from similar recent experiences, which can affect the encoding of a new experience into memory. When a new experience includes changes—such as a driving route being blocked by construction—this can lead to interference in subsequent memory. One potential mechanism of effective encoding of event changes is the retrieval of related features from previous events. Another such mechanism is the generation of a prediction error when a predicted feature is contradicted. In two experiments, we tested for effects of these two mechanisms on memory for changed features in movies of everyday activities. Participants viewed movies of an actor performing everyday activities across two fictitious days. Some event features changed across the days, and some features violated viewers’ predictions. Retrieval of previous event features while viewing the second movie was associated with better subsequent memory, providing evidence for the retrieval mechanism. Contrary to our hypotheses, there was no support for the error mechanism: Prediction error was not associated with better memory when it was observed correlationally (Experiment 1) or directly manipulated (Experiment 2). These results support a key role for episodic retrieval in the encoding of new events. They also indicate boundary conditions on the role of prediction errors in driving new learning. Both findings have clear implications for theories of event memory. © 2021, The Psychonomic Society, Inc.

Author Keywords
Change detection;  Event cognition;  Prediction error;  Proactive interference;  Reminding

Funding details
Office of Naval ResearchONR

Document Type: Article
Publication Stage: Article in Press
Source: Scopus

"Diagnostic shifts in autism spectrum disorder can be linked to the fuzzy nature of the diagnostic boundary: a data-driven approach" (2021) Journal of Child Psychology and Psychiatry and Allied Disciplines

Diagnostic shifts in autism spectrum disorder can be linked to the fuzzy nature of the diagnostic boundary: a data-driven approach
(2021) Journal of Child Psychology and Psychiatry and Allied Disciplines, . 

Tunç, B.a b c , Pandey, J.a c , St. John, T.d , Meera, S.S.e , Maldarelli, J.E.a , Zwaigenbaum, L.f , Hazlett, H.C.g , Dager, S.R.h , Botteron, K.N.i , Girault, J.B.g , McKinstry, R.C.j , Verma, R.k , Elison, J.T.l , Pruett, J.R., Jr.i , Piven, J.g , Estes, A.M.d m , Schultz, R.T.a b c n , for the IBIS Networko

a Center for Autism Research, The Children’s Hospital of Philadelphia, Philadelphia, PA, United States
b Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, PA, United States
c Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States
d Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, United States
e Department of Speech Pathology and Audiology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
f Department of Pediatrics, University of Alberta, Edmonton, AB, Canada
g The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
h Department of Radiology and Bioengineering, University of Washington, Seattle, WA, United States
i Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
j Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States
k DiCIPHR (Diffusion and Connectomics in Precision Healthcare Research) Lab, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
l Institute of Child Development, University of Minnesota, Minneapolis, MN, United States
m Department of Psychology, University of Washington, Seattle, WA, United States
n Department of Pediatrics, University of Pennsylvania, Philadelphia, PA, United States

Abstract
Background: Diagnostic shifts at early ages may provide invaluable insights into the nature of separation between autism spectrum disorder (ASD) and typical development. Recent conceptualizations of ASD suggest the condition is only fuzzily separated from non-ASD, with intermediate cases between the two. These intermediate cases may shift along a transition region over time, leading to apparent instability of diagnosis. Methods: We used a cohort of children with high ASD risk, by virtue of having an older sibling with ASD, assessed at 24 months (N = 212) and 36 months (N = 191). We applied machine learning to empirically characterize the classification boundary between ASD and non-ASD, using variables quantifying developmental and adaptive skills. We computed the distance of children to the classification boundary. Results: Children who switched diagnostic labels from 24 to 36 months, in both directions, (dynamic group) had intermediate phenotypic profiles. They were closer to the classification boundary compared to children who had stable diagnoses, both at 24 months (Cohen’s d =.52) and at 36 months (d =.75). The magnitude of change in distance between the two time points was similar for the dynamic and stable groups (Cohen’s d =.06), and diagnostic shifts were not associated with a large change. At the individual level, a few children in the dynamic group showed substantial change. Conclusions: Our results suggested that a diagnostic shift was largely due to a slight movement within a transition region between ASD and non-ASD. This fact highlights the need for more vigilant surveillance and intervention strategies. Young children with intermediate phenotypes may have an increased susceptibility to gain or lose their diagnosis at later ages, calling attention to the inherently dynamic nature of early ASD diagnoses. © 2021 Association for Child and Adolescent Mental Health.

Author Keywords
Autism spectrum disorders;  diagnosis;  infancy;  machine learning;  stability

Funding details
National Institutes of HealthNIHR01
ES026961, R01HD055741, R01HD088125, R01MH073084, R01MH116961, R01MH118362, R01MH121462, U54HD086984, U54HD087011
Pennsylvania Department of HealthSAP 4100042728, SAP 4100047863

Document Type: Article
Publication Stage: Article in Press
Source: Scopus

"The Impact of Personality Pathology Across Three Generations: Evidence From the St. Louis Personality and Intergenerational Network Study" (2021) Clinical Psychological Science

The Impact of Personality Pathology Across Three Generations: Evidence From the St. Louis Personality and Intergenerational Network Study
(2021) Clinical Psychological Science, . 

Shields, A.N.a , Oltmanns, T.F.b , Boudreaux, M.J.c , Paul, S.E.b , Bogdan, R.b , Tackett, J.L.a

a Department of Psychology, Northwestern University, China
b Department of Psychological and Brain Sciences, Washington University in St. Louis, United States
c Hogan Assessment Systems, Tulsa, OK, United States

Abstract
Personality disorder (PD) symptoms in a parent generation may confer risk for problems in future generations, but intergenerational transmission has not been studied beyond parent–child effects. We examined the generational transfer of risk associated with PDs using structural models of grandparent personality pathology and grandchild psychopathology among 180 adults (mean age = 66.9 years), 218 of their children (mean age = 41.2 years), and 337 of their grandchildren (mean age = 10.5 years). We found evidence for general and heterotypic domain-specific transmission. Specifically, broad grandparent personality pathology was associated with broad grandchild psychopathology (b = 0.15, 95% confidence interval [CI] = [−0.01, 0.31]); at the domain level, grandparent internalizing personality pathology was associated with grandchild externalizing psychopathology (b = 0.06, 95% CI = [0.01, 0.12]). Neither association was significantly mediated by parental personality pathology. These findings indicate that personality pathology in one generation confers risk for psychopathology across subsequent generations. Such intergenerational transmission operates across broad rather than specific (i.e., individual disorder) psychopathology domains. © The Author(s) 2021.

Author Keywords
developmental psychopathology;  grandchildren;  intergenerational transmission;  personality pathology;  risk

Document Type: Article
Publication Stage: Article in Press
Source: Scopus

"BrainTumorNet: Multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images" (2021) Progress in Biomedical Optics and Imaging – Proceedings of SPIE

BrainTumorNet: Multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images
(2021) Progress in Biomedical Optics and Imaging – Proceedings of SPIE, 11596, art. no. 115960K, . 

Chakrabarty, S.a , Sotiras, A.a b c , Milchenko, M.b , Lamontagne, P.b , Abraham, C.d , Robinson, C.d , Marcus, D.b

a Department of Electrical and Systems Engineering, Washington University in St. LouisMO, United States
b Department of Radiology, Washington University School of MedicineMO, United States
c Institute for Informatics, Washington University School of MedicineMO, United States
d Department of Radiation Oncology, Washington University School of MedicineMO, United States

Abstract
Detection and segmentation of primary and secondary brain tumors are crucial in Radiation Oncology. Significant efforts have been dedicated to devising deep learning models for this purpose. However, development of a unified model for the segmentation of multiple types of tumors is nontrivial due to high heterogeneity across different pathologies. In this work, we propose BrainTumorNet, a multi-task learning (MTL) scheme for the joint segmentation of high-grade gliomas (HGG) and brain metastases (METS) from multimodal magnetic resonance imaging (MRI) scans. We augment the state-of-the-art DeepMedic1 architecture using this scheme and evaluate its performance on a highly unbalanced hybrid dataset comprising 259 HGG and 58 METS patient-cases. For the HGG segmentation task, the network produces a Dice score of 86.74% for whole tumor segmentation, which is comparable to 87.35% and 87.19% by the task-specific and single-task joint training baselines, respectively. For the METS segmentation task, BrainTumorNet produces an average Dice score of 62.60% thus outperforming the scores of 19.85%, 57.99%, 59.74%, and 44.17% by the two transfer-learned, task-specific, and single-task joint training baseline models, respectively. The trained network retains knowledge across segmentation tasks by exploiting the underlying correlation between pathologies. At the same time, it is discriminative enough to produce competitive segmentations for each task. The hard parameter sharing in the network reduces the computational overhead compared to training task-specific models for multiple tumor types. To our knowledge, this is the first attempt towards developing a single overarching model for the segmentation of different types of brain tumors. © 2021 SPIE.

Author Keywords
Brain metastasis;  Data scarcity;  Deep learning;  High grade glioma;  Multi-task learning;  Segmentation;  Transfer learning

Document Type: Conference Paper
Publication Stage: Final
Source: Scopus

"Channelopathies in fragile X syndrome" (2021) Nature Reviews Neuroscience

Channelopathies in fragile X syndrome
(2021) Nature Reviews Neuroscience, . 

Deng, P.-Y., Klyachko, V.A.

Department of Cell Biology and Physiology, Washington University School of Medicine, St Louis, MO, United States

Abstract
Fragile X syndrome (FXS) is the most common inherited form of intellectual disability and the leading monogenic cause of autism. The condition stems from loss of fragile X mental retardation protein (FMRP), which regulates a wide range of ion channels via translational control, protein–protein interactions and second messenger pathways. Rapidly increasing evidence demonstrates that loss of FMRP leads to numerous ion channel dysfunctions (that is, channelopathies), which in turn contribute significantly to FXS pathophysiology. Consistent with this, pharmacological or genetic interventions that target dysregulated ion channels effectively restore neuronal excitability, synaptic function and behavioural phenotypes in FXS animal models. Recent studies further support a role for direct and rapid FMRP–channel interactions in regulating ion channel function. This Review lays out the current state of knowledge in the field regarding channelopathies and the pathogenesis of FXS, including promising therapeutic implications. © 2021, Springer Nature Limited.

Funding details
National Institute of Neurological Disorders and StrokeNINDS

Document Type: Review
Publication Stage: Article in Press
Source: Scopus

"TicTimer Web: software for measuring tic suppression remotely" (2020) F1000Research

TicTimer Web: software for measuring tic suppression remotely
(2020) F1000Research, 9, p. 1264. 

Black, J.K.a , Koller, J.M.b c , Black, K.J.b c d e

a Department of Mechanical Engineering, Brigham Young University, Provo, UT 84602, United States
b Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110, United States
c Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110, United States
d Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, United States
e Department of Neuroscience, Washington University in St. Louis, St. Louis, MO 63110, United States

Abstract
Woods and Himle developed a standardized tic suppression paradigm (TSP) for the experimental setting, to quantify the effects of intentional tic suppression in Tourette syndrome. We previously provided a computer program to facilitate recording tic occurrence and to automate reward delivery during the several experimental conditions of the TSP. The present article describes a web-based program that performs the same functions. Implementing this program on the web allows research sessions to be performed remotely, in tandem with a video calling program. Relevant data for each session, such as the timing of tics and dispensed rewards, are stored in plain text files for later analysis. Expected applications include research on Tourette syndrome and related disorders. Copyright: © 2020 Black JK et al.

Author Keywords
reinforcement (psychology);  reward;  software;  tc disorders;  Tourette syndrome

Document Type: Article
Publication Stage: Final
Source: Scopus