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

WashU weekly Neuroscience publications

"The choroid plexus is an important circadian clock component" (2018) Nature Communications

The choroid plexus is an important circadian clock component
(2018) Nature Communications, 9 (1), art. no. 1062, . 

Myung, J.a b c d e , Schmal, C.f , Hong, S.b , Tsukizawa, Y.g , Rose, P.f , Zhang, Y.h , Holtzman, M.J.h , De Schutter, E.b , Herzel, H.f , Bordyugov, G.f , Takumi, T.a g

a RIKEN Brain Science Institute (BSI), Wako, Japan
b Computational Neuroscience Unit, Okinawa Institute of Science and Technology, Okinawa, Japan
c Graduate Institute of Humanities in Medicine, Taipei Medical University, Taipei, Taiwan
d TMU-Research Center of Brain and Consciousness, Taipei Medical University, Taipei, Taiwan
e Laboratory of Braintime, Shuang Ho Hospital, New Taipei City, Taiwan
f Institute for Theoretical Biology, Charité-Universitätsmedizin and Humboldt Universität, Berlin, Germany
g Department of Anatomy, Hiroshima University School of Medicine, Hiroshima, Japan
h Pulmonary and Clinical Care Medicine, Washington University School of Medicine, St. Louis, MO, United States

Abstract
Mammalian circadian clocks have a hierarchical organization, governed by the suprachiasmatic nucleus (SCN) in the hypothalamus. The brain itself contains multiple loci that maintain autonomous circadian rhythmicity, but the contribution of the non-SCN clocks to this hierarchy remains unclear. We examine circadian oscillations of clock gene expression in various brain loci and discovered that in mouse, robust, higher amplitude, relatively faster oscillations occur in the choroid plexus (CP) compared to the SCN. Our computational analysis and modeling show that the CP achieves these properties by synchronization of “twist” circadian oscillators via gap-junctional connections. Using an in vitro tissue coculture model and in vivo targeted deletion of the Bmal1 gene to silence the CP circadian clock, we demonstrate that the CP clock adjusts the SCN clock likely via circulation of cerebrospinal fluid, thus finely tuning behavioral circadian rhythms. © 2018 The Author(s).

Document Type: Article
Source: Scopus

"AAH2 gene is not required for dopamine-dependent neurochemical and behavioral abnormalities produced by Toxoplasma infection in mouse" (2018) Behavioural Brain Research

AAH2 gene is not required for dopamine-dependent neurochemical and behavioral abnormalities produced by Toxoplasma infection in mouse
(2018) Behavioural Brain Research, 347, pp. 193-200. 

McFarland, R.a b , Wang, Z.T.e , Jouroukhin, Y.b , Li, Y.d , Mychko, O.b , Coppens, I.a , Xiao, J.d , Jones-Brando, L.d , Yolken, R.H.d , Sibley, L.D.e , Pletnikov, M.V.a b c

a W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States
b Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
c Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States
d Stanley Neurovirology Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, United States
e Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO, United States

Abstract
Infection with the protozoan parasite, Toxoplasma gondii (T. gondii), has been associated with the increased risk for several psychiatric disorders. The exact mechanisms of a hypothesized contribution of T. gondii infection are poorly understood. The T. gondii genome contains two aromatic amino acid hydroxylase genes (AAH1 and AAH2) that encode proteins that can produce L-DOPA. One popular hypothesis posits that these encoded enzymes might influence dopamine (DA) production and hence DA synaptic transmission, leading to neurobehavioral abnormalities in the infected host. Prior studies have shown that deletion of these genes does not alter DA levels in the brain or exploratory activity in infected mice. However, possible effects of AAH gene deficiency on infection-induced brain and behavior alterations that are directly linked to DA synaptic transmission have not been evaluated. We found that chronic T. gondii infection of BALB/c mice leads to blunted response to amphetamine or cocaine and decreased expression of Dopamine Transporter (DAT) and Vesicular Monoamine Transporter 2 (VMAT2). Deletion of AAH2 had no effects on these changes in infected mice. Both wild type and Δaah2 strains produced comparable levels of neuroinflammation. Our findings demonstrate that AAH2 is not required for T. gondii infection-produced DA-dependent neurobehavioral abnormalities. © 2018 Elsevier B.V.

Author Keywords
AAH2;  Amphetamine;  Cocaine;  DAT;  Dopamine;  Toxoplasma

Document Type: Article
Source: Scopus

"Term-equivalent functional brain maturational measures predict neurodevelopmental outcomes in premature infants" (2018) Early Human Development

Term-equivalent functional brain maturational measures predict neurodevelopmental outcomes in premature infants
(2018) Early Human Development, 119, pp. 68-72. 

El Ters, N.M.a , Vesoulis, Z.A.a , Liao, S.M.a , Smyser, C.D.b , Mathur, A.M.a

a Division of Newborn Medicine, Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, United States
b Division of Pediatric Neurology, Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States

Abstract
Background: Term equivalent age (TEA) brain MRI identifies preterm infants at risk for adverse neurodevelopmental outcomes. But some infants may experience neurodevelopmental impairments even in the absence of neuroimaging abnormalities. Objective: Evaluate the association of TEA amplitude-integrated EEG (aEEG) measures with neurodevelopmental outcomes at 24–36 months corrected age. Methods: We performed aEEG recordings and brain MRI at TEA (mean post-menstrual age of 39 (±2) weeks in a cohort of 60 preterm infants born at a mean gestational age of 26 (±2) weeks. Forty-four infants underwent Bayley Scales of Infant Development, 3rd Edition (BSID-III) testing at 24–36 months corrected age. Developmental delay was defined by a score greater than one standard deviation below the mean (<85) in any domain. An ROC curve was constructed and a value of SEF90 < 9.2, yielded the highest sensitivity and specificity for moderate/severe brain injury on MRI. The association between aEEG measures and neurodevelopmental outcomes was assessed using odds ratio, then adjusted for confounding variables using logistic regression. Results: Infants with developmental delay in any domain had significantly lower values of SEF90. Absent cyclicity was more prevalent in infants with cognitive and motor delay. Both left and right SEF90 < 9.2 were associated with motor delay (OR left: 4.7(1.2–18.3), p = 0.02, OR right: 7.9 (1.8–34.5), p < 0.01). Left SEF90 and right SEF90 were associated with cognitive delay and language delay respectively. Absent cyclicity was associated with motor and cognitive delay (OR for motor delay: 5.8 (1.3–25.1), p = 0.01; OR for cognitive delay: 16.8 (3.1–91.8), p < 0.01). These associations remained significant after correcting for social risk index score and confounding variables. Conclusions: aEEG may be used at TEA as a new tool for risk stratification of infants at higher risk of poor neurodevelopmental outcomes. Therefore, a larger study is needed to validate these results in premature infants at low and high risk of brain injury. © 2018

Author Keywords
Amplitude-integrated EEG;  Cyclicity;  Neurodevelopmental outcome;  SEF90

Document Type: Article
Source: Scopus

"History of the Research Fund of the American Otological Society" (2018) Otology and Neurotology

History of the Research Fund of the American Otological Society
(2018) Otology and Neurotology, 39 (4S), pp. S59-S63. 

Chole, R.A.

Department of Otolaryngology, Washington University in St. Louis School of Medicine, Campus 8115, 660 South Euclid Avenue, St. Louis, MO, United States

Document Type: Review
Source: Scopus

"Gene Therapy for Retinal Degeneration" (2018) Cell

Gene Therapy for Retinal Degeneration
(2018) Cell, 173 (1), p. 5. 

Apte, R.S.

Washington University School of Medicine, 660 South Euclid Avenue, Box 8096, St. Louis, MO, United States

Abstract
Biallelic mutations in the RPE65 gene are associated with inherited retinal degenerations/dystrophies (IRD) and disrupt the visual cycle, leading to loss of vision. A new adenoviral vector-based gene therapy surgically delivered to retinal cells provides normal human RPE65 protein that can restore the visual cycle and some vision. To view this Bench to Bedside, open or download the PDF. Biallelic mutations in the RPE65 gene are associated with inherited retinal degenerations/dystrophies (IRD) and disrupt the visual cycle, leading to loss of vision. A new adenoviral vector-based gene therapy surgically delivered to retinal cells provides normal human RPE65 protein that can restore the visual cycle and some vision. To view this Bench to Bedside, open or download the PDF. © 2018

Document Type: Short Survey
Source: Scopus

"Genome-wide Analyses Identify KIF5A as a Novel ALS Gene" (2018) Neuron

Genome-wide Analyses Identify KIF5A as a Novel ALS Gene
(2018) Neuron, 97 (6), pp. 1268-1283.e6. 

Nicolas, A.a , Kenna, K.P.b , Renton, A.E.a c d , Ticozzi, N.e f , Faghri, F.g h , Chia, R.a , Dominov, J.A.b , Kenna, B.J.b , Nalls, M.A.g i , Keagle, P.b , Rivera, A.M.a , van Rheenen, W.j , Murphy, N.A.a , van Vugt, J.J.F.A.j , Geiger, J.T.k , Van der Spek, R.A.j , Pliner, H.A.a , Shankaracharyab , Smith, B.N.l , Marangi, G.a m , Topp, S.D.l , Abramzon, Y.a n , Gkazi, A.S.l , Eicher, J.D.o , Kenna, A.b , Logullo, F.O.eg , Simone, I.eg , Logroscino, G.eg , Salvi, F.eg , Bartolomei, I.eg , Borghero, G.eg , Murru, M.R.eg , Costantino, E.eg , Pani, C.eg , Puddu, R.eg , Caredda, C.eg , Piras, V.eg , Tranquilli, S.eg , Cuccu, S.eg , Corongiu, D.eg , Melis, M.eg , Milia, A.eg , Marrosu, F.eg , Marrosu, M.G.eg , Floris, G.eg , Cannas, A.eg , Capasso, M.eg , Caponnetto, C.eg , Mancardi, G.eg , Origone, P.eg , Mandich, P.eg , Conforti, F.L.eg , Cavallaro, S.eg , Mora, G.eg , Marinou, K.eg , Sideri, R.eg , Penco, S.eg , Mosca, L.eg , Lunetta, C.eg , Pinter, G.L.eg , Corbo, M.eg , Riva, N.eg , Carrera, P.eg , Volanti, P.eg , Mandrioli, J.eg , Fini, N.eg , Fasano, A.eg , Tremolizzo, L.eg , Arosio, A.eg , Ferrarese, C.eg , Trojsi, F.eg , Tedeschi, G.eg , Monsurrò, M.R.eg , Piccirillo, G.eg , Femiano, C.eg , Ticca, A.eg , Ortu, E.eg , La Bella, V.eg , Spataro, R.eg , Colletti, T.eg , Sabatelli, M.eg , Zollino, M.eg , Conte, A.eg , Luigetti, M.eg , Lattante, S.eg , Marangi, G.eg , Santarelli, M.eg , Petrucci, A.eg , Pugliatti, M.eg , Pirisi, A.eg , Parish, L.D.eg , Occhineri, P.eg , Giannini, F.eg , Battistini, S.eg , Ricci, C.eg , Benigni, M.eg , Cau, T.B.eg , Loi, D.eg , Calvo, A.eg , Moglia, C.eg , Brunetti, M.eg , Barberis, M.eg , Restagno, G.eg , Casale, F.eg , Marrali, G.eg , Fuda, G.eg , Ossola, I.eg , Cammarosano, S.eg , Canosa, A.eg , Ilardi, A.eg , Manera, U.eg , Grassano, M.eg , Tanel, R.eg , Pisano, F.eg , Mora, G.p , Calvo, A.q , Mazzini, L.r , Riva, N.s , Mandrioli, J.t , Caponnetto, C.u , Battistini, S.v , Volanti, P.p , La Bella, V.w , Conforti, F.L.x , Borghero, G.y , Messina, S.z , Simone, I.L.aa , Trojsi, F.ab , Salvi, F.ac , Logullo, F.O.ad , D’Alfonso, S.ae , Corrado, L.ae , Capasso, M.af , Ferrucci, L.ag , Harms, M.B.eh , Goldstein, D.B.eh , Shneider, N.A.eh , Goutman, S.eh , Simmons, Z.eh , Miller, T.M.eh , Chandran, S.eh , Pal, S.eh , Manousakis, G.eh , Appel, S.H.eh , Simpson, E.eh , Wang, L.eh , Baloh, R.H.eh , Gibson, S.eh , Bedlack, R.eh , Lacomis, D.eh , Sareen, D.eh , Sherman, A.eh , Bruijn, L.eh , Penny, M.eh , Moreno, C.D.A.M.ah , Kamalakaran, S.ai , Goldstein, D.B.ai , Allen, A.S.ei , Appel, S.ei , Baloh, R.H.ei , Bedlack, R.S.ei , Boone, B.E.ei , Brown, R.ei , Carulli, J.P.ei , Chesi, A.ei , Chung, W.K.ei , Cirulli, E.T.ei , Cooper, G.M.ei , Couthouis, J.ei , Day-Williams, A.G.ei , Dion, P.A.ei , Gibson, S.ei , Gitler, A.D.ei , Glass, J.D.ei , Goldstein, D.B.ei , Han, Y.ei , Harms, M.B.ei , Harris, T.ei , Hayes, S.D.ei , Jones, A.L.ei , Keebler, J.ei , Krueger, B.J.ei , Lasseigne, B.N.ei , Levy, S.E.ei , Lu, Y.-F.ei , Maniatis, T.ei , McKenna-Yasek, D.ei , Miller, T.M.ei , Myers, R.M.ei , Petrovski, S.ei , Pulst, S.M.ei , Raphael, A.R.ei , Ravits, J.M.ei , Ren, Z.ei , Rouleau, G.A.ei , Sapp, P.C.ei , Shneider, N.A.ei , Simpson, E.ei , Sims, K.B.ei , Staropoli, J.F.ei , Waite, L.L.ei , Wang, Q.ei , Wimbish, J.R.ei , Xin, W.W.ei , Gitler, A.D.aj , Harris, T.ak , Myers, R.M.al , Phatnani, H.ej , Kwan, J.ej , Sareen, D.ej , Broach, J.R.ej , Simmons, Z.ej , Arcila-Londono, X.ej , Lee, E.B.ej , Van Deerlin, V.M.ej , Shneider, N.A.ej , Fraenkel, E.ej , Ostrow, L.W.ej , Baas, F.ej , Zaitlen, N.ej , Berry, J.D.ej , Malaspina, A.ej , Fratta, P.ej , Cox, G.A.ej , Thompson, L.M.ej , Finkbeiner, S.ej , Dardiotis, E.ej , Miller, T.M.ej , Chandran, S.ej , Pal, S.ej , Hornstein, E.ej , MacGowan, D.J.ej , Heiman-Patterson, T.ej , Hammell, M.G.ej , Patsopoulos, N.A.ej , Dubnau, J.ej , Nath, A.ej , Phatnani, H.am , Musunuri, R.L.an , Evani, U.S.an , Abhyankar, A.an , Zody, M.C.an , Kaye, J.ek , Finkbeiner, S.ek , Wyman, S.ek , LeNail, A.ek , Lima, L.ek , Fraenkel, E.ek , Rothstein, J.D.ek , Svendsen, C.N.ek , Thompson, L.M.ek , Van Eyk, J.ek , Maragakis, N.J.ek , Berry, J.D.ek , Glass, J.D.ek , Miller, T.M.ek , Kolb, S.J.ek , Baloh, R.H.ek , Cudkowicz, M.ek , Baxi, E.ek , Kaye, J.ao , Finkbeiner, S.ao , Wyman, S.K.ao , Finkbeiner, S.ap , LeNail, A.aq , Lima, L.ao , Fraenkel, E.aq , Fraenkel, E.ar , Svendsen, C.N.as , Svendsen, C.N.at , Thompson, L.M.au , Thompson, L.M.av , Van Eyk, J.E.aw , Berry, J.D.ax , Berry, J.D.ay , Miller, T.M.az , Kolb, S.J.ba , Cudkowicz, M.ax , Cudkowicz, M.ay , Baxi, E.bb , Benatar, M.el , Taylor, J.P.el , Wu, G.el , Rampersaud, E.el , Wuu, J.el , Rademakers, R.el , Züchner, S.el , Schule, R.el , McCauley, J.el , Hussain, S.el , Cooley, A.el , Wallace, M.el , Clayman, C.el , Barohn, R.el , Statland, J.el , Ravits, J.el , Swenson, A.el , Jackson, C.el , Trivedi, J.el , Khan, S.el , Katz, J.el , Jenkins, L.el , Burns, T.el , Gwathmey, K.el , Caress, J.el , McMillan, C.el , Elman, L.el , Pioro, E.el , Heckmann, J.el , So, Y.el , Walk, D.el , Maiser, S.el , Zhang, J.el , Benatar, M.bc , Taylor, J.P.bd , Taylor, J.P.be , Rampersaud, E.bf , Wu, G.bf , Wuu, J.bc , Silani, V.em , Ticozzi, N.em , Gellera, C.em , Ratti, A.em , Taroni, F.em , Lauria, G.em , Verde, F.em , Fogh, I.em , Tiloca, C.em , Comi, G.P.em , Sorarù, G.em , Cereda, C.em , D’Alfonso, S.em , Corrado, L.em , De Marchi, F.em , Corti, S.em , Ceroni, M.em , Mazzini, L.em , Siciliano, G.em , Filosto, M.em , Inghilleri, M.em , Peverelli, S.em , Colombrita, C.em , Poletti, B.em , Maderna, L.em , Del Bo, R.em , Gagliardi, S.em , Querin, G.em , Bertolin, C.em , Pensato, V.em , Castellotti, B.em , Lauria, G.bg , Verde, F.e , Fogh, I.e , Tiloca, C.e , Fogh, I.l , Comi, G.P.bh , Sorarù, G.bi , Cereda, C.bj , Camu, W.en , Mouzat, K.en , Lumbroso, S.en , Corcia, P.en , Meininger, V.en , Besson, G.en , Lagrange, E.en , Clavelou, P.en , Guy, N.en , Couratier, P.en , Vourch, P.en , Danel, V.en , Bernard, E.en , Lemasson, G.en , Corcia, P.bk , Laaksovirta, H.bl , Myllykangas, L.bm , Jansson, L.bl , Valori, M.bl , Ealing, J.bn , Hamdalla, H.bn , Rollinson, S.bo , Pickering-Brown, S.bo , Orrell, R.W.bp , Sidle, K.C.bq , Malaspina, A.br , Hardy, J.bq , Singleton, A.B.g , Johnson, J.O.a , Arepalli, S.bs , Sapp, P.C.b , McKenna-Yasek, D.b , Polak, M.bt , Asress, S.bt , Al-Sarraj, S.l , King, A.l , Troakes, C.l , Vance, C.l , de Belleroche, J.bu , Baas, F.bv , ten Asbroek, A.L.M.A.bw , Muñoz-Blanco, J.L.bx , Hernandez, D.G.bs , Ding, J.by , Gibbs, J.R.by , Scholz, S.W.k , Scholz, S.W.bb , Floeter, M.K.bz , Campbell, R.H.h , Landi, F.ca , Bowser, R.cb , Pulst, S.M.cc , Ravits, J.M.cd , MacGowan, D.J.L.ce , Kirby, J.cf , Pioro, E.P.cg , Pamphlett, R.ch , Broach, J.ci , Gerhard, G.cj , Dunckley, T.L.ck , Brady, C.B.cl , Brady, C.B.cm , Kowall, N.W.cn , Troncoso, J.C.co cz da , Le Ber, I.cp , Mouzat, K.cq , Lumbroso, S.cq , Mouzat, K.cr , Lumbroso, S.cr , Heiman-Patterson, T.D.cs , Heiman-Patterson, T.D.ct , Kamel, F.cu , Van Den Bosch, L.cv , Van Den Bosch, L.cw , Baloh, R.H.cx , Strom, T.M.cy , Meitinger, T.cy , Strom, T.M.cz , Shatunov, A.l , Van Eijk, K.R.j , de Carvalho, M.db , de Carvalho, M.dc , Kooyman, M.dd , Middelkoop, B.j , Moisse, M.cv , Moisse, M.cw , McLaughlin, R.L.de , Van Es, M.A.j , Weber, M.df , Boylan, K.B.dg , Van Blitterswijk, M.dh , Rademakers, R.dh , Morrison, K.E.di , Basak, A.N.dj , Mora, J.S.dk , Drory, V.E.dl , Shaw, P.J.cf , Turner, M.R.dm , Talbot, K.dm , Hardiman, O.dn , Williams, K.L.do , Fifita, J.A.do , Nicholson, G.A.do , Blair, I.P.do , Nicholson, G.A.dp , Rouleau, G.A.dq , Esteban-Pérez, J.dr , García-Redondo, A.dr , Al-Chalabi, A.l , Al Kheifat, A.eo , Al-Chalabi, A.eo , Andersen, P.eo , Basak, A.N.eo , Blair, I.P.eo , Chio, A.eo , Cooper-Knock, J.eo , Corcia, P.eo , Couratier, P.eo , de Carvalho, M.eo , Dekker, A.eo , Drory, V.eo , Redondo, A.G.eo , Gotkine, M.eo , Hardiman, O.eo , Hide, W.eo , Iacoangeli, A.eo , Glass, J.eo , Kenna, K.eo , Kiernan, M.eo , Kooyman, M.eo , Landers, J.eo , McLaughlin, R.eo , Middelkoop, B.eo , Mill, J.eo , Neto, M.M.eo , Moisse, M.eo , Pardina, J.M.eo , Morrison, K.eo , Newhouse, S.eo , Pinto, S.eo , Pulit, S.eo , Robberecht, W.eo , Shatunov, A.eo , Shaw, P.eo , Shaw, C.eo , Silani, V.eo , Sproviero, W.eo , Tazelaar, G.eo , Ticozzi, N.eo , van Damme, P.eo , van den Berg, L.eo , van der Spek, R.eo , van Eijk, K.eo , van Es, M.eo , van Rheenen, W.eo , van Vugt, J.eo , Veldink, J.eo , Weber, M.eo , Williams, K.L.eo , Van Damme, P.cw dx , Robberecht, W.dx , Zatz, M.eo , Robberecht, W.cw , Bauer, D.C.eo , Twine, N.A.eo , Rogaeva, E.ds , Zinman, L.dt , Ostrow, L.W.bb , Maragakis, N.J.bb , Rothstein, J.D.bb , Simmons, Z.du , Cooper-Knock, J.cf , Brice, A.cp , Goutman, S.A.dv , Feldman, E.L.dv , Gibson, S.B.cc , Taroni, F.dw , Ratti, A.e , Ratti, A.f , Gellera, C.dw , Van Damme, P.cv , Robberecht, W.cv ep , Fratta, P.n ep , Sabatelli, M.dy ep ep , Lunetta, C.dz ep ep , Ludolph, A.C.ea ep ep , Andersen, P.M.eb ep ep , Weishaupt, J.H.ea ep ep , Camu, W.ec ep ep , Trojanowski, J.Q.ed ep ep , Van Deerlin, V.M.ed , Brown, R.H., Jr.b , van den Berg, L.H.j , Veldink, J.H.j , Harms, M.B.ah , Glass, J.D.bt , Stone, D.J.ee , Tienari, P.bl , Silani, V.e , Silani, V.f , Chiò, A.q , Shaw, C.E.l , Chiò, A.ef , Traynor, B.J.a , Landers, J.E.b , Traynor, B.J.bb

a Neuromuscular Diseases Research Section, Laboratory of Neurogenetics, National Institute on Aging, NIH, Porter Neuroscience Research Center, Bethesda, MD, United States
b Department of Neurology, University of Massachusetts Medical School, Worcester, MA, United States
c Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States
d Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, NY, United States
e Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy
f Department of Pathophysiology and Transplantation, “Dino Ferrari” Center – Università degli Studi di Milano, Milan, Italy
g Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, NIH, Porter Neuroscience Research Center, Bethesda, MD, United States
h Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, United States
i Data Tecnica International, Glen Echo, MD, United States
j Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht the, Netherlands
k Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, NIH Bethesda, MD, United States
l Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, King’s College London, London, United Kingdom
m Institute of Genomic Medicine, Catholic University, Roma, Italy
n Sobell Department of Motor Neuroscience and Movement Disorders, University College London, Institute of Neurology, London, United Kingdom
o Genetics and Pharmacogenomics, MRL, Merck & Co., Inc., Boston, MA, United States
p ALS Center, Salvatore Maugeri Foundation, IRCCS, Mistretta, Messina, Italy
q “Rita Levi Montalcini” Department of Neuroscience, University of Turin, Turin, Italy
r “Maggiore della Carità” University Hospital, Novara, Italy
s Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
t Department of Neuroscience, St. Agostino Estense Hospital, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
u Department of Neurosciences, Ophthalmology, Genetics, Rehabilitation, Maternal and Child Health, Ospedale Policlinico San Martino, Genoa, Italy
v Department of Medical, Surgical and Neurological Sciences, University of Siena, Siena, Italy
w ALS Clinical Research Center, University of Palermo, Palermo, Italy
x Institute of Neurological Sciences, National Research Council, Mangone Cosenza, Italy
y Department of Neurology, Azienda Universitario Ospedaliera di Cagliari and University of Cagliari, Cagliari, Italy
z Department of Clinical and Experimental Medicine, University of Messina and Nemo Sud Clinical Center for Neuromuscular Diseases, Aurora Foundation, Messina, Italy
aa Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari, Bari, Italy
ab Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, University of Campania “Luigi Vanvitelli,” Naples, Italy
ac “Il Bene” Center for Immunological and Rare Neurological Diseases at Bellaria Hospital, IRCCS, Istituto delle Scienze Neurologiche, Bologna, Italy
ad Neurological Clinic, Marche Polytechnic University, Ancona, Italy
ae Department of Health Sciences, University of Eastern Piedmont, Novara, Italy
af Department of Neurology, University of Chieti, Chieti, Italy
ag Longitudinal Studies Section, Clinical Research Branch, National Institute on Aging, NIH Baltimore, MD, United States
ah Department of Neurology, Columbia University, New York, NY, United States
ai Institute for Genomic Medicine, Columbia University, New York, NY, United States
aj Department of Genetics, Stanford University School of Medicine, Stanford, CA, United States
ak Bioverativ, 225 2nd Avenue, Waltham, MA, United States
al HudsonAlpha Institute for Biotechnology, Huntsville, AL, United States
am Center for Genomics of Neurodegenerative Diseases (CGND), New York Genome Center, New York, NY, United States
an Computational Biology, New York Genome Center, New York, NY, United States
ao Gladstone Institute of Neurological Disease, San Francisco, CA, United States
ap Departments of Neurology and Physiology, University of California, San Francisco, San Francisco, CA, United States
aq Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, United States
ar Broad Institute, 415 Main Street, Cambridge, MA, United States
as Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
at Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, United States
au Department of Neurobiology and Behavior, Institute of Memory Impairment and Neurological Disorders, University of California, Irvine Irvine, CA, United States
av Department of Psychiatry and Human Behavior, Institute of Memory Impairment and Neurological Disorders, University of California, Irvine Irvine, CA, United States
aw The Heart Institute and Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States
ax Harvard Medical School, Department of Neurology, Massachusetts General Hospital (MGH), Boston, MA, United States
ay Neurological Clinical Research Institute (NCRI), Massachusetts General Hospital, Boston, MA, United States
az Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
ba Department of Neurology, The Ohio State University Wexner Medical Center, ColumbusOH, United States
bb Department of Neurology, Johns Hopkins University, Baltimore, MD, United States
bc Department of Neurology, University of Miami, Miami, FL, United States
bd Howard Hughes Medical Institute, Chevy Chase, MD, United States
be Department of Cell and Molecular Biology, St. Jude Children’s Research Hospital, Memphis, TN, United States
bf Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN, United States
bg 3rd Neurology Unit, Motor Neuron Diseases Center, Fondazione IRCCS Istituto Neurologico “Carlo Besta, ” and Department of Biomedical and Clinical Sciences “Luigi Sacco” University of Milan, Milan, Italy
bh Neurology Unit, IRCCS Foundation Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
bi Department of Neurosciences, University of Padova, Padova, Italy
bj Genomic and Post-Genomic Center, IRCCS Mondino Foundation, Pavia, Italy
bk ALS Center, CHU Bretonneau, Tours University, Tours, France
bl Department of Neurology, Helsinki University Hospital and Molecular Neurology Programme, Biomedicum, University of Helsinki, Helsinki FIN-02900, Finland
bm Department of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
bn Greater Manchester Neurosciences Centre, Salford Royal NHS Foundation Trust, Salford, United Kingdom
bo Faculty of Human and Medical Sciences, University of Manchester, Manchester, United Kingdom
bp Department of Clinical Neuroscience, Institute of Neurology, University College London, London, United Kingdom
bq Department of Molecular Neuroscience and Reta Lila Weston Laboratories, Institute of Neurology, University College London, Queen Square House, London, United Kingdom
br Centre for Neuroscience and Trauma, Blizard Institute, Queen Mary University of London, NorthEast London and Essex Regional Motor Neuron Disease Care Centre, London, United Kingdom
bs Genomics Technology Group, Laboratory of Neurogenetics, National Institute on Aging, NIH, Porter Neuroscience Research Center, Bethesda, MD, United States
bt Department of Neurology, Emory University School of Medicine, Atlanta, GA, United States
bu Division of Brain Sciences, Department of Medicine, Imperial College London, London, United Kingdom
bv Department of Clinical Genetics, Leiden University Medical Center, Leiden the, Netherlands
bw Department of Neurogenetics and Neurology, Academic Medical Centre, Amsterdam the, Netherlands
bx ALS-Neuromuscular Unit, Hospital General Universitario Gregorio Marañón, IISGM Madrid, Spain
by Computational Biology Group, Laboratory of Neurogenetics, National Institute on Aging, NIH, Porter Neuroscience Research Center, Bethesda, MD, United States
bz Motor Neuron Disorders Unit, National Institute of Neurological Disorders and Stroke, NIH Bethesda, MD, United States
ca Center for Geriatric Medicine, Department of Geriatrics, Neurosciences and Orthopedics, Catholic University of Sacred HeartRome, Italy
cb Division of Neurology, Barrow Neurological Institute, Phoenix, AZ, United States
cc Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, United States
cd Department of Neuroscience, University of California, San Diego, La JollaCA, United States
ce Mount Sinai Beth Israel Hospital, Mount Sinai School of Medicine, New York, NY, United States
cf Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom
cg Department of Neurology, Neuromuscular Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, United States
ch Discipline of Pathology, Brain and Mind Centre, The University of Sydney, 94 Mallett Street, Camperdown, NSW, Australia
ci Department of Biochemistry, Penn State College of Medicine, Hershey, PA, United States
cj Department of Pathology, Penn State College of Medicine, Hershey, PA, United States
ck Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, United States
cl Research and Development Service, Veterans Affairs Boston Healthcare System, Boston, MA, United States
cm Department of Neurology, Program in Behavioral Neuroscience, Boston University School of Medicine, Boston, MA, United States
cn Neurology Service, VA Boston Healthcare System and Boston University Alzheimer’s Disease Center, Boston, MA, United States
co Departments of Pathology and Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
cp Sorbonne Universités, UPMC Univ Paris 06, Inserm, CNRS, Institut du Cerveau et la Moelle (ICM), Assistance Publique Hôpitaux de Paris (AP-HP) – Hôpital Pitié-Salpêtrière, Paris, France
cq INM, University Montpellier, Montpellier, France
cr Department of Biochemistry, CHU Nîmes, Nîmes, France
cs Department of Neurology, Drexel University College of Medicine, Philadelphia, PA, United States
ct Department of Neurology, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, United States
cu Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, United States
cv KU Leuven – University of Leuven, Department of Neurosciences, Experimental Neurology and Leuven Research Institute for Neuroscience and Disease (LIND), Leuven, Belgium
cw VIB, Center for Brain and Disease Research, Laboratory of Neurobiology, Leuven, Belgium
cx Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, United States
cy Institute of Human Genetics, Technische Universität München, Munich, Germany
cz Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
da Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
db Institute of Physiology, Institute of Molecular Medicine, Faculty of Medicine, University of Lisbon, Lisbon, Portugal
dc Department of Neurosciences, Hospital de Santa Maria-CHLN, Lisbon, Portugal
dd SURFsara, Amsterdam, Netherlands
de Population Genetics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
df Neuromuscular Diseases Center/ALS Clinic, Kantonsspital St. Gallen, St. Gallen, Switzerland
dg Department of Neurology, Mayo Clinic Florida, Jacksonville, FL, United States
dh Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
di Faculty of Medicine, University of Southampton, Southampton, United Kingdom
dj Suna and Inan Kırac Foundation, Neurodegeneration Research Laboratory, Bogazici University, Istanbul, Turkey
dk ALS Unit/Neurology, Hospital San Rafael, Madrid, Spain
dl Department of Neurology, Tel-Aviv Sourasky Medical Centre, Tel-Aviv, Israel
dm Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
dn Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
do Centre for MND Research, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia
dp ANZAC Research Institute, Concord Hospital, University of Sydney, Sydney, NSW, Australia
dq Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
dr Unidad de ELA, Instituto de Investigación Hospital 12 de Octubre de Madrid, SERMAS, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER U-723), Madrid, Spain
ds Tanz Centre for Research of Neurodegenerative Diseases, Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada
dt Division of Neurology, Department of Internal Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
du Department of Neurology, Penn State Hershey Medical Center, Hershey, PA, United States
dv Department of Neurology, University of Michigan, Ann Arbor, MI, United States
dw Unit of Genetics of Neurodegenerative and Metabolic Diseases, Fondazione IRCCS Istituto Neurologico “Carlo Besta”, Milan, Italy
dx University Hospitals Leuven, Department of Neurology, Leuven, Belgium
dy Centro Clinico NeMO, Institute of Neurology, Catholic University, Largo F. Vito 1, Rome, Italy
dz NEuroMuscular Omnicenter (NEMO), Serena Onlus Foundation, Milan, Italy
ea Neurology Department, Ulm University, Albert-Einstein-Allee 11, Ulm, Germany
eb Department of Pharmacology and Clinical Neuroscience, Umeå University, Umeå, Sweden
ec ALS Center, CHU Gui de Chauliac, University of Montpellier, Montpellier, France
ed Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, United States
ee Genetics and Pharmacogenomics, MRL, Merck & Co., Inc., West PointPA, United States
ef Neuroscience Institute of Torino, Turin, Italy

Abstract
To identify novel genes associated with ALS, we undertook two lines of investigation. We carried out a genome-wide association study comparing 20,806 ALS cases and 59,804 controls. Independently, we performed a rare variant burden analysis comparing 1,138 index familial ALS cases and 19,494 controls. Through both approaches, we identified kinesin family member 5A (KIF5A) as a novel gene associated with ALS. Interestingly, mutations predominantly in the N-terminal motor domain of KIF5A are causative for two neurodegenerative diseases: hereditary spastic paraplegia (SPG10) and Charcot-Marie-Tooth type 2 (CMT2). In contrast, ALS-associated mutations are primarily located at the C-terminal cargo-binding tail domain and patients harboring loss-of-function mutations displayed an extended survival relative to typical ALS cases. Taken together, these results broaden the phenotype spectrum resulting from mutations in KIF5A and strengthen the role of cytoskeletal defects in the pathogenesis of ALS. Using a large-scale genome-wide association study and exome sequencing, we identified KIF5A as a novel gene associated with ALS. Our data broaden the phenotype resulting from mutations in KIF5A and highlight the importance of cytoskeletal defects in the pathogenesis of ALS. © 2018 Elsevier Inc.

Author Keywords
ALS;  axonal transport;  cargo;  GWAS;  KIF5A;  WES;  WGS

Document Type: Article
Source: Scopus

"Tau Kinetics in Neurons and the Human Central Nervous System" (2018) Neuron

Tau Kinetics in Neurons and the Human Central Nervous System
(2018) Neuron, 97 (6), pp. 1284-1298.e7. Cited 1 time.

Sato, C.a , Barthélemy, N.R.a , Mawuenyega, K.G.a , Patterson, B.W.b , Gordon, B.A.c , Jockel-Balsarotti, J.a , Sullivan, M.a , Crisp, M.J.a , Kasten, T.a , Kirmess, K.M.b , Kanaan, N.M.d , Yarasheski, K.E.b , Baker-Nigh, A.b , Benzinger, T.L.S.c , Miller, T.M.a e , Karch, C.M.e f , Bateman, R.J.a e g

a Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
b Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, United States
c Department of Radiology, Washington University School of Medicine, St. Louis, MO, United States
d Michigan State University, College of Human Medicine, Department of Translational Science and Molecular Medicine, Grand Rapids, MI, United States
e Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States
f Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
g Charles F. and Joanne Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, St. Louis, MO, United States

Abstract
We developed stable isotope labeling and mass spectrometry approaches to measure the kinetics of multiple isoforms and fragments of tau in the human central nervous system (CNS) and in human induced pluripotent stem cell (iPSC)-derived neurons. Newly synthesized tau is truncated and released from human neurons in 3 days. Although most tau proteins have similar turnover, 4R tau isoforms and phosphorylated forms of tau exhibit faster turnover rates, suggesting unique processing of these forms that may have independent biological activities. The half-life of tau in control human iPSC-derived neurons is 6.74 ± 0.45 days and in human CNS is 23 ± 6.4 days. In cognitively normal and Alzheimer’s disease participants, the production rate of tau positively correlates with the amount of amyloid plaques, indicating a biological link between amyloid plaques and tau physiology. Sato et al. show that stable isotope labeling kinetics enable measurement of tau in the CNS and in iPSC-derived neurons. Specific forms of tau are uniquely processed in neurons and tau production rates correlate with amyloid accumulation in human subjects. © 2018 Elsevier Inc.

Author Keywords
Alzheimer’s disease;  amyloid;  human;  induced pluripotent stem cell;  isoform;  PET;  phosphorylation;  positron emission tomography;  production rate;  SILK;  stable isotope labeling kinetics;  tau

Document Type: Article
Source: Scopus

"Dynamic patterns of cortical expansion during folding of the preterm human brain" (2018) Proceedings of the National Academy of Sciences of the United States of America

Dynamic patterns of cortical expansion during folding of the preterm human brain
(2018) Proceedings of the National Academy of Sciences of the United States of America, 115 (12), pp. 3156-3161. 

Garcia, K.E.a k , Robinson, E.C.b c , Alexopoulos, D.d , Dierker, D.L.e , Glasser, M.F.f g , Coalson, T.S.f , Ortinau, C.M.h , Rueckert, D.b , Taber, L.A.a i , Van Essen, D.C.f , Rogers, C.E.h j , Smysere, C.D.e h , Bayly, P.V.i

a Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, United States
b Department of Computer Science, Imperial College London, London, United Kingdom
c Division of Imaging Sciences, St. Thomas’ Hospital, King’s College London, London, United Kingdom
d Department of Neurology, Washington University, School of Medicine, St. Louis, MO, United States
e Mallinckrodt Institute of Radiology, Washington University, School of Medicine, St. Louis, MO, United States
f Department of Neuroscience, Washington University, School of Medicine, St. Louis, MO, United States
g Internal Medicine, St. Luke’s Hospital, St. Louis, MO, United States
h Department of Pediatrics, Washington University, School of Medicine, St. Louis, MO, United States
i Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO, United States
j Department of Psychiatry, Washington University, School of Medicine, St. Louis, MO, United States
k Department of Engineering, University of Southern Indiana, Evansville, IN, United States

Abstract
During the third trimester of human brain development, the cerebral cortex undergoes dramatic surface expansion and folding. Physical models suggest that relatively rapid growth of the cortical gray matter helps drive this folding, and structural data suggest that growth may vary in both space (by region on the cortical surface) and time. In this study, we propose a unique method to estimate local growth from sequential cortical reconstructions. Using anatomically constrained multimodal surface matching (aMSM), we obtain accurate, physically guided point correspondence between younger and older cortical reconstructions of the same individual. From each pair of surfaces, we calculate continuous, smooth maps of cortical expansion with unprecedented precision. By considering 30 preterm infants scanned two to four times during the period of rapid cortical expansion (28- 38 wk postmenstrual age), we observe significant regional differences in growth across the cortical surface that are consistent with the emergence of new folds. Furthermore, these growth patterns shift over the course of development, with noninjured subjects following a highly consistent trajectory. This information provides a detailed picture of dynamic changes in cortical growth, connecting what is known about patterns of development at the microscopic (cellular) and macroscopic (folding) scales. Since our method provides specific growth maps for individual brains, we are also able to detect alterations due to injury. This fully automated surface analysis, based on tools freely available to the brain-mapping community, may also serve as a useful approach for future studies of abnormal growth due to genetic disorders, injury, or other environmental variables. © 2018 National Academy of Sciences. All Rights Reserved.

Author Keywords
Cortex;  Development;  Growth;  Registration;  Strain energy

Document Type: Article
Source: Scopus

"Early Origins of Autism Comorbidity: Neuropsychiatric Traits Correlated in Childhood Are Independent in Infancy" (2018) Journal of Abnormal Child Psychology

Early Origins of Autism Comorbidity: Neuropsychiatric Traits Correlated in Childhood Are Independent in Infancy
(2018) Journal of Abnormal Child Psychology, pp. 1-11. Article in Press. 

Hawks, Z.W.a , Marrus, N.b , Glowinski, A.L.b , Constantino, J.N.b c

a Department of Psychological & Brain Sciences, Washington University, One Brookings Drive, St. Louis, MO, United States
b Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Avenue, St. Louis, MO, United States
c Department of Pediatrics, Washington University School of Medicine, 1 Children’s Place, St. Louis, MO, United States

Abstract
Previous research has suggested that behavioral comorbidity is the rule rather than the exception in autism. The present study aimed to trace the respective origins of autistic and general psychopathologic traits—and their association—to infancy. Measurements of autistic traits and early liability for general psychopathology were assessed in 314 twins at 18 months, ascertained from the general population using birth records. 222 twins were re-evaluated at 36 months. Standardized ratings of variation in social communication at 18 months were highly heritable and strongly predicted autistic trait scores at 36 months. These early indices of autistic liability were independent from contemporaneous ratings of behavior problems on the Brief Infant-Toddler Social and Emotional Assessment (which were substantially environmentally-influenced), and did not meaningfully predict internalizing or externalizing scores on the Achenbach Scales of Empirically Based Assessment at 36 months. In this general population infant twin study, variation in social communication was independent from variation in other domains of general psychopathology, and exhibited a distinct genetic structure. The commonly-observed comorbidity of specific psychiatric syndromes with autism may arise from subsequent interactions between autistic liability and independent susceptibilities to other psychopathologic traits, suggesting opportunities for preventive amelioration of outcomes of these interactions over the course of development. © 2018 The Author(s)

Author Keywords
Autism;  Development;  Psychopathology;  Trait overlap;  Twins

Document Type: Article in Press
Source: Scopus

"Could We Harness Human Immunodeficiency Virus Antibodies to Monitor the Brain?" (2018) Journal of Infectious Diseases

Could We Harness Human Immunodeficiency Virus Antibodies to Monitor the Brain?
(2018) Journal of Infectious Diseases, 217 (7), pp. 1017-1019. 

Clifford, D.B.

Melba and Forest Seay Department of Clinical Neuropharmacology in Neurology, Washington University in St. Louis, Box 8111, Neurology, 660 South Euclid, St. Louis, MO, United States

Author Keywords
CSF;  HAND;  HIV antibodies;  HIV associated neurocognitive disorder;  HIV cure

Document Type: Note
Source: Scopus

"Diagnostic accuracy of the Ottawa 3DY and Short Blessed Test to detect cognitive dysfunction in geriatric patients presenting to the emergency department" (2018) BMJ Open

Diagnostic accuracy of the Ottawa 3DY and Short Blessed Test to detect cognitive dysfunction in geriatric patients presenting to the emergency department
(2018) BMJ Open, 8 (3), art. no. e019652, . 

Barbic, D.a , Kim, B.b , Salehmohamed, Q.b , Kemplin, K.c , Carpenter, C.R.d , Barbic, S.P.e f

a Department of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada
b Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
c School of Nursing, University of Tennessee Chattanooga, Chattanooga, TN, United States
d Division of Emergency Medicine, Washington University, St Louis, MO, United States
e Department of Occupational Therapy and Occupational Science, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
f Centre for Health Evaluation Outcome Sciences, University of British Columbia, Vancouver, BC, Canada

Abstract
Objectives Cognitive dysfunction (CD) is a common finding in geriatric patients presenting to the emergency department (ED). Our primary objective was to determine the diagnostic accuracy of the Ottawa 3DY (O3DY) and Short Blessed Test (SBT) as screening tools for the detection of CD in the ED. Our secondary objective was to estimate the inter-rater reliability of these instruments. Methods We conducted a prospective cross-sectional comparative study at an inner-city academic medical centre (annual ED visit census 86 000). Patients aged 75 years or greater were evaluated for inclusion, 163 were screened, 150 were deemed eligible and 117 were enrolled. The research team completed the O3DY, SBT and Mini-Mental State Exam (MMSE) for each participant. Descriptive statistics were calculated. Sensitivity and specificity of the O3DY and SBT were calculated in STATA V.11.2 using the MMSE as our criterion standard. Results We enrolled 117 patients from June to November 2016. The median ED length of stay at the time of completion of all tests was 1:40 (IQR 1:34-1:46). The sensitivity of the O3DY was 71.4% (95% CI 47.8 to 95.1), and specificity was 56.3% (46.7-65.9). Sensitivity of the SBT was 85.7% (67.4-99.9) and specificity was 58.3% (48.7-67.8). The receiver operating characteristic area under the curve was calculated for the O3DY (0.51; 95% CI 0.42 to 0.61) and SBT (0.52; 95% CI 0.43 to 0.61) relative to the MMSE. Inter-rater reliability for the O3DY (k=0.64) and SBT (k=0.63) were good. Conclusion In a cohort of geriatric patients presenting to an inner-city academic ED, the O3DY and SBT tools demonstrate moderate sensitivity and specificity for the detection of CD. Inter-rater reliability for the O3DY and SBT were good. Future research on this topic should attempt to derive and validate ED-specific screening tools, which will hopefully result in more robust likelihood ratios for the screening of CD in ED geriatric patients. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Author Keywords
cognitive dysfunction;  diagnostic accuracy;  geriatric medicine;  instrument of measurement

Document Type: Article
Source: Scopus

"Ability of postoperative delirium to predict intermediate-term postoperative cognitive function in patients undergoing elective surgery at an academic medical centre: Protocol for a prospective cohort study" (2018) BMJ Open

Ability of postoperative delirium to predict intermediate-term postoperative cognitive function in patients undergoing elective surgery at an academic medical centre: Protocol for a prospective cohort study
(2018) BMJ Open, 8 (3), art. no. e017079, . 

Aranake-Chrisinger, A.a , Cheng, J.Z.a , Muench, M.R.a b , Tang, R.a , Mickle, A.a , Maybrier, H.a , Lin, N.a c , Wildes, T.a , Lenze, E.a , Avidan, M.S.a

a Department of Anesthesiology, Washington University School of Medicine in St. Louis, Saint Louis, MO, United States
b Kirksville College of Osteopathic Medicine, Kirksville, MO, United States
c Division of Biostatistics, Department of Mathematics, Washington University in St. Louis, St. Louis, MO, United States

Abstract
Introduction Postoperative delirium (POD) is a common complication in elderly patients, characterised by a fluctuating course of altered consciousness, disordered thinking and inattention. Preliminary research has linked POD with persistent cognitive impairment and decreased quality of life. However, these findings maybe confounded by patient comorbidities, postoperative complications and frailty. Our objective is to determine whether POD is an independent risk factor for persistent impairments in attention and executive function after elective surgery. Our central hypothesis is that patients with POD are more likely to have declines in cognition and quality of life 1 year after surgery compared with patients without POD. We aim to clarify whether these associations are independent of potentially confounding factors. We will also explore the association between POD and incident dementia. Methods and analysis This study will recruit 200 patients from the ongoing Electroencephalography Guidance of Anesthesia to Alleviate Geriatric Syndromes (ENGAGES) study. Patients who live ≤45 miles from the study centre or have a planned visit to the centre 10-16 months postoperatively will be eligible. Patients with POD, measured by the Confusion Assessment Method, will be compared with patients without delirium. The primary outcome of cognitive function and secondary outcomes of quality of life and incident dementia will be compared between cohorts. Cognition will be measured by Trails A and B and Stroop Color and Word Test, quality of life with Veteran’s RAND 12-item Health Survey and incident dementia with the Short Blessed Test. Multivariable regression analyses and a Cox proportional hazards analysis will be performed. All results will be reported with 95% CIs and α=0.05. Ethics and dissemination The study has been approved by the Washington University in St. Louis Institutional Review Board (IRB no 201601099). Plans for dissemination include scientific publications and presentations at scientific conferences. Trial registration number NCT02241655. © 2018 Article author(s) (or their employer(s) unless otherwise stated in the text of the article). All rights reserved.

Author Keywords
dementia;  eeg guidance;  frailty;  postoperative cognitive decline;  postoperative delirium;  quality of life

Document Type: Article
Source: Scopus

"The impact of age, background noise, semantic ambiguity, and hearing loss on recognition memory for spoken sentences" (2018) Journal of Speech, Language, and Hearing Research

The impact of age, background noise, semantic ambiguity, and hearing loss on recognition memory for spoken sentences
(2018) Journal of Speech, Language, and Hearing Research, 61 (3), pp. 740-751. 

Koeritzer, M.A.a , Rogers, C.S.b , Van Engen, K.J.c , Peelle, J.E.b

a Audiology and Communication Sciences, Washington University in St. LouisMO, United States
b Department of Otolaryngology, Washington University in St. LouisMO, United States
c Department of Psychological and Brain Sciences, Washington University in St. LouisMO, United States

Abstract
Purpose: The goal of this study was to determine how background noise, linguistic properties of spoken sentences, and listener abilities (hearing sensitivity and verbal working memory) affect cognitive demand during auditory sentence comprehension. Method: We tested 30 young adults and 30 older adults. Participants heard lists of sentences in quiet and in 8-talker babble at signal-to-noise ratios of +15 dB and +5 dB, which increased acoustic challenge but left the speech largely intelligible. Half of the sentences contained semantically ambiguous words to additionally manipulate cognitive challenge. Following each list, participants performed a visual recognition memory task in which they viewed written sentences and indicated whether they remembered hearing the sentence previously. Results: Recognition memory (indexed by d′) was poorer for acoustically challenging sentences, poorer for sentences containing ambiguous words, and differentially poorer for noisy high-ambiguity sentences. Similar patterns were observed for Z-transformed response time data. There were no main effects of age, but age interacted with both acoustic clarity and semantic ambiguity such that older adults’ recognition memory was poorer for acoustically degraded high-ambiguity sentences than the young adults’. Within the older adult group, exploratory correlation analyses suggested that poorer hearing ability was associated with poorer recognition memory for sentences in noise, and better verbal working memory was associated with better recognition memory for sentences in noise. Conclusions: Our results demonstrate listeners’ reliance on domain-general cognitive processes when listening to acoustically challenging speech, even when speech is highly intelligible. Acoustic challenge and semantic ambiguity both reduce the accuracy of listeners’ recognition memory for spoken sentences. © 2018 American Speech-Language-Hearing Association.

Document Type: Article
Source: Scopus

"Place learning overrides innate behaviors in Drosophila" (2018) Learning and Memory

Place learning overrides innate behaviors in Drosophila
(2018) Learning and Memory, 25 (3), pp. 122-128. 

Baggett, V.a , Mishra, A.a , Kehrer, A.L.a , Robinson, A.O.a , Shaw, P.b , Zars, T.a

a Division of Biological Sciences, University of Missouri, Columbia, MO, United States
b Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, United States

Abstract
Animals in a natural environment confront many sensory cues. Some of these cues bias behavioral decisions independent of experience, and action selection can reveal a stimulus-response (S-R) connection. However, in a changing environment it would be a benefit for an animal to update behavioral action selection based on experience, and learning might modify even strong S-R relationships. How animals use learning to modify S-R relationships is a largely open question. Three sensory stimuli, air, light, and gravity sources were presented to individual Drosophila melanogaster in both naïe and place conditioning situations. Flies were tested for a potential modification of the S-R relationships of anemotaxis, phototaxis, and negative gravitaxis by a contingency that associated place with high temperature. With two stimuli, significant S-R relationships were abandoned when the cue was in conflict with the place learning contingency. The role of the dunce (dnc) cAMP-phosphodiesterase and the rutabaga (rut) adenylyl cyclase were examined in all conditions. Both dnc1 and rut2080 mutant flies failed to display significant S-R relationships with two attractive cues, and have characteristically lower conditioning scores under most conditions. Thus, learning can have profound effects on separate native S-R relationships in multiple contexts, and mutation of the dnc and rut genes reveal complex effects on behavior. © 2018 Baggett et al.

Document Type: Article
Source: Scopus

"Differential effects of predictable vs. unpredictable aversive experience early in development on fear memory and learning in adulthood" (2018) Behavioral Neuroscience

Differential effects of predictable vs. unpredictable aversive experience early in development on fear memory and learning in adulthood
(2018) Behavioral Neuroscience, 132 (1), pp. 57-65. 

Roquet, R.F.a , Seo, D.-O.a c , Jones, C.E.a d , Monfils, M.-H.b

a Department of Psychology, University of Texas at Austin, United States
b Department of Psychology and Institute for Mental Health Research, The University of Texas at Austin, United States
c Department of Anesthesiology, Division of Basic Research, Washington University School of Medicine, United States
d Department of Behavioral Neuroscience, Oregon Health and Science University, United States

Abstract
We examined the enduring effects of predictable versus unpredictable fear conditioning early in life on memory and relearning in adulthood. At postnatal Day 17 or 25 (P17 or P25), rats either remained naïve, or were fear conditioned using paired (predictable) or unpaired (unpredictable) presentations of white noise and foot shocks. At 2 months of age (adulthood), each group was fear conditioned (or reconditioned) with either paired or unpaired training, and then was tested for fear extinction the next day. Initial findings replicate previous work from our lab and others, demonstrating a difference in adult memory retention based on age of acquisition. Specifically, rats that received paired conditioning at P25, but not P17, show increased freezing to the cue when tested in adulthood. We further show that paired as well as unpaired conditioning at P17 potentiates paired conditioning in adulthood; however, paired, but not unpaired, conditioning at P25 potentiates paired and unpaired conditioning in adulthood. These findings suggest that early predictable versus unpredictable aversive learning at P17 or P25 differentially modulate memory retention and future learning. © 2018 American Psychological Association.

Author Keywords
Development;  Fear;  Learning;  Memory;  Pavlovian conditioning

Document Type: Article
Source: Scopus

"The Twists of Pediatric Dystonia: Phenomenology, Classification, and Genetics" (2018) Seminars in Pediatric Neurology

The Twists of Pediatric Dystonia: Phenomenology, Classification, and Genetics
(2018) Seminars in Pediatric Neurology, . Article in Press. 

Meijer, I.A.a b , Pearson, T.S.c

a Department of Neurology, Mount Sinai Beth Israel, New York, NY, United States
b Department of Pediatrics, Neurology division, Université de Montreal, Montreal, Canada
c Department of Neurology, Washington University School of Medicine, Saint Louis, MO, United States

Abstract
This article aims to provide a practical review of pediatric dystonia from a clinician’s perspective. The focus is on the underlying genetic causes, recent findings, and treatable conditions. Dystonia can occur in an isolated fashion or accompanied by other neurological or systemic features. The clinical presentation is often a complex overlap of neurological findings with a large differential diagnosis. We recommend an approach guided by thorough clinical evaluation, brain magnetic resonance imaging (MRI), biochemical analysis, and genetic testing to hone in on the diagnosis. This article highlights the clinical and genetic complexity of pediatric dystonia and underlines the importance of a genetic diagnosis for therapeutic considerations. © 2018 Elsevier Inc.

Document Type: Article in Press
Source: Scopus

"A Conserved Circadian Function for the Neurofibromatosis 1 Gene" (2018) Cell Reports

A Conserved Circadian Function for the Neurofibromatosis 1 Gene
(2018) Cell Reports, 22 (13), pp. 3416-3426. 

Bai, L.a , Lee, Y.a , Hsu, C.T.a , Williams, J.A.a , Cavanaugh, D.a b , Zheng, X.a c , Stein, C.a , Haynes, P.a , Wang, H.a d , Gutmann, D.H.a e , Sehgal, A.a

a Penn Chronobiology, Howard Hughes Medical Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
b Department of Biology, Loyola University, Chicago, IL, United States
c Bloomington Stock Center, Indiana University, Bloomington, IN, United States
d School of Law, University of California, Los Angeles, Los Angeles, CA, United States
e Department of Neurology, Washington University, St. Louis, MO, United States

Abstract
Loss of the Neurofibromatosis 1 (Nf1) protein, neurofibromin, in Drosophila disrupts circadian rhythms of locomotor activity without impairing central clock function, suggesting effects downstream of the clock. However, the relevant cellular mechanisms are not known. Leveraging the discovery of output circuits for locomotor rhythms, we dissected cellular actions of neurofibromin in recently identified substrates. Herein, we show that neurofibromin affects the levels and cycling of calcium in multiple circadian peptidergic neurons. A prominent site of action is the pars intercerebralis (PI), the fly equivalent of the hypothalamus, with cell-autonomous effects of Nf1 in PI cells that secrete DH44. Nf1 interacts genetically with peptide signaling to affect circadian behavior. We extended these studies to mammals to demonstrate that mouse astrocytes exhibit a 24-hr rhythm of calcium levels, which is also attenuated by lack of neurofibromin. These findings establish a conserved role for neurofibromin in intracellular signaling rhythms within the nervous system. Bai et al. show that the gene mutated in the disease Neurofibromatosis 1 is required for maintaining levels or cycling of calcium in circadian neurons in Drosophila and in mammalian cells. These effects likely account for effects of Nf1 on circadian behavior in Drosophila and may be relevant in explaining sleep phenotypes in patients. © 2018 The Authors

Author Keywords
circadian rhythms;  cycling of calcium;  Drosophila;  mouse astrocytes;  neurofibromatosis 1;  peptide signaling

Document Type: Article
Source: Scopus
Access Type: Open Access

"Early-Onset Physical Frailty in Adults with Diabesity and Peripheral Neuropathy" (2018) Canadian Journal of Diabetes

Early-Onset Physical Frailty in Adults with Diabesity and Peripheral Neuropathy
(2018) Canadian Journal of Diabetes, . Article in Press. 

Tuttle, L.J.a , Bittel, D.C.b , Bittel, A.J.b , Sinacore, D.R.b

a Physical Therapy Program, San Diego State University, San Diego, California, United States
b Program in Physical Therapy, Washington University School of Medicine, St. Louis, Missouri, United States

Abstract
Objectives: Diabesity (obesity and diabetes mellitus) has been identified as a potential contributor to early-onset frailty. Impairments contributing to early onset of physical frailty in this population are not well understood, and there is little evidence of the impact of peripheral neuropathy on frailty. The purpose of this study was to determine impairments that contribute to early-onset physical frailty in individuals with diabesity and peripheral neuropathy. Methods: We studied 105 participants, 82 with diabesity and peripheral neuropathy (57 years of age, body mass index [BMI] 31 kg/m2); 13 with diabesity only (53 years of age, BMI 34 kg/m2) and 10 obese controls (67 years of age, BMI 32 kg/m2). Peripheral neuropathy was determined using Semmes Weinstein monofilaments; physical frailty was classified using the 9-item, modified Physical Performance Test; and knee extension and ankle plantarflexion peak torques were measured using isokinetic dynamometry. Results: Participants with diabesity and peripheral neuropathy were 7.4 times more likely to be classified as physically frail. Impairments in lower-extremity function were associated with classification of frailty. Conclusions: Individuals with diabesity and peripheral neuropathy are particularly likely to be classified as frail. Earlier identification and interventions aimed at improving lower-extremity function may be important to mitigate the early-onset functional decline. © 2017 Diabetes Canada

Author Keywords
diabesity;  diabetes;  frailty;  obesity;  physical performance

Document Type: Article in Press
Source: Scopus

"Early striatal amyloid deposition distinguishes Down syndrome and autosomal dominant Alzheimer's disease from late-onset amyloid deposition" (2018) Alzheimer's and Dementia

Early striatal amyloid deposition distinguishes Down syndrome and autosomal dominant Alzheimer’s disease from late-onset amyloid deposition
(2018) Alzheimer’s and Dementia, . Article in Press. 

Cohen, A.D.a , McDade, E.b c , Christian, B.d , Price, J.e f , Mathis, C.e , Klunk, W.a b , Handen, B.L.a

a Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
b Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
c Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
d Department of Medical Physics, University of Wisconsin–Madison School of Medicine, Madison, WI, United States
e Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
f A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Cambridge, MA, United States

Abstract
Introduction: The objective of this study was to evaluate amyloid β (Aβ) deposition patterns in different groups of cerebral β amyloidosis: (1) nondemented with amyloid precursor protein overproduction (Down syndrome); (2) nondemented with abnormal processing of amyloid precursor protein (preclinical autosomal dominant Alzheimer disease); (3) presumed alteration in Aβ clearance with clinical symptoms (late-onset AD); and (4) presumed alterations in Aβ clearance (preclinical AD). Methods: We performed whole-brain voxelwise comparison of cerebral Aβ between 23 Down syndrome, 10 preclinical autosomal dominant Alzheimer disease, 17 late-onset AD, and 16 preclinical AD subjects, using Pittsburgh Compound B–positron emission tomography. Results: We found both Down syndrome and preclinical autosomal dominant Alzheimer disease shared a distinct pattern of increased bilateral striatal and thalamic Aβ deposition compared to late-onset AD and preclinical AD. Conclusion: Disorders associated with early-life alterations in amyloid precursor protein production or processing are associated with a distinct pattern of early striatal fibrillary Aβ deposition before significant cognitive impairment. A better understanding of this unique pattern could identify important mechanisms of Aβ deposition and possibly important targets for early intervention. © 2018 the Alzheimer’s Association

Author Keywords
Autosomal dominant Alzheimer dementia;  Aβ42;  Diffuse plaque;  Down syndrome;  Pittsburgh compound B;  Striatum

Document Type: Article in Press
Source: Scopus

"Episodic memory and the witness trump card" (2018) Behavioral and Brain Sciences

Episodic memory and the witness trump card
(2018) Behavioral and Brain Sciences, 41, art. no. e16, pp. 28-29. 

Henry, J., Craver, C.

Department of Philosophy and Philosophy-Neuroscience-Psychology Program, Washington University, St. Louis, MO, United States

Abstract
We accept Mahr & Csibra’s (M&C’s) causal claim that episodic memory provides humans with the means for evaluating the veracity of reports about non-occurrent events. We reject their evolutionary argument that this is the proper function of episodic memory. We explore three intriguing implications of the causal claim, for cognitive neuropsychology, comparative psychology, and philosophy. Copyright © Cambridge University Press 2018.

Document Type: Review
Source: Scopus

"Transmission electron microscopy for zebrafish larvae and adult lateral line nerve" (2018) Methods in Molecular Biology

Transmission electron microscopy for zebrafish larvae and adult lateral line nerve
(2018) Methods in Molecular Biology, 1739, pp. 385-400. 

Cunningham, R.L.b , Monk, K.R.a b b

a Vollum Institute, Oregon Health & Science University, Portland, OR, United States
b Department of Developmental Biology, Washington University in St. Louis, St. Louis, MO, United States

Abstract
Transmission electron microscopy (TEM) enables visualization of the ultrastructure of the myelin sheath. Schwann cells on the posterior lateral line nerves and motor nerves can be imaged by TEM. Here, we detail the multiday processing of larval trunks and dissected posterior lateral line for TEM, as well as how to trim embedded samples, section, and stain grids for imaging. © 2018, Springer Science+Business Media, LLC.

Author Keywords
Adult zebrafish lateral line nerve;  Lateral line nerve;  Motor nerves;  Myelin ultrastructure;  Transmission electron microscopy

Document Type: Book Chapter
Source: Scopus

"Live imaging of Schwann cell development in zebrafish" (2018) Methods in Molecular Biology

Live imaging of Schwann cell development in zebrafish
(2018) Methods in Molecular Biology, 1739, pp. 401-405. 

Cunningham, R.L.b , Monk, K.R.a b b

a Vollum Institute, Oregon Health & Science University, Portland, OR, United States
b Department of Developmental Biology, Washington University in St. Louis, St. Louis, MO, United States

Abstract
The optical transparency of zebrafish larvae enables live imaging. Here we describe the methodology for live imaging and detail how to mount larvae for live imaging of Schwann cell development. © 2018, Springer Science+Business Media, LLC.

Author Keywords
Confocal microscopy;  Live imaging;  Mounting;  Transgenes

Document Type: Book Chapter
Source: Scopus

"Listening Effort: How the Cognitive Consequences of Acoustic Challenge Are Reflected in Brain and Behavior" (2018) Ear and Hearing,

Listening Effort: How the Cognitive Consequences of Acoustic Challenge Are Reflected in Brain and Behavior
(2018) Ear and Hearing, pp. 204-214. Article in Press. Cited 2 times.

Peelle, J.E.

Department of Otolaryngology, Washington University in Saint Louis, Saint Louis, Missouri, USA.

Abstract
Everyday conversation frequently includes challenges to the clarity of the acoustic speech signal, including hearing impairment, background noise, and foreign accents. Although an obvious problem is the increased risk of making word identification errors, extracting meaning from a degraded acoustic signal is also cognitively demanding, which contributes to increased listening effort. The concepts of cognitive demand and listening effort are critical in understanding the challenges listeners face in comprehension, which are not fully predicted by audiometric measures. In this article, the authors review converging behavioral, pupillometric, and neuroimaging evidence that understanding acoustically degraded speech requires additional cognitive support and that this cognitive load can interfere with other operations such as language processing and memory for what has been heard. Behaviorally, acoustic challenge is associated with increased errors in speech understanding, poorer performance on concurrent secondary tasks, more difficulty processing linguistically complex sentences, and reduced memory for verbal material. Measures of pupil dilation support the challenge associated with processing a degraded acoustic signal, indirectly reflecting an increase in neural activity. Finally, functional brain imaging reveals that the neural resources required to understand degraded speech extend beyond traditional perisylvian language networks, most commonly including regions of prefrontal cortex, premotor cortex, and the cingulo-opercular network. Far from being exclusively an auditory problem, acoustic degradation presents listeners with a systems-level challenge that requires the allocation of executive cognitive resources. An important point is that a number of dissociable processes can be engaged to understand degraded speech, including verbal working memory and attention-based performance monitoring. The specific resources required likely differ as a function of the acoustic, linguistic, and cognitive demands of the task, as well as individual differences in listeners’ abilities. A greater appreciation of cognitive contributions to processing degraded speech is critical in understanding individual differences in comprehension ability, variability in the efficacy of assistive devices, and guiding rehabilitation approaches to reducing listening effort and facilitating communication. Copyright © 2017 The Authors. Ear & Hearing is published on behalf of the American Auditory Society, by Wolters Kluwer Health, Inc.

Author Keywords
Acoustic challenge;  Aging;  Listening effort;  Speech comprehension;  Working memory

Document Type: Article in Press
Source: Scopus

"The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites" (2018) Developmental Cognitive Neuroscience

The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites
(2018) Developmental Cognitive Neuroscience, . Article in Press. 

Casey, B.J.a b , Cannonier, T.a , Conley, M.I.a b , Cohen, A.O.b , Barch, D.M.c , Heitzeg, M.M.f , Soules, M.E.f , Teslovich, T.b , Dellarco, D.V.b , Garavan, H.g , Orr, C.A.g , Wager, T.D.h , Banich, M.T.h , Speer, N.K.h , Sutherland, M.T.i , Riedel, M.C.i , Dick, A.S.i , Bjork, J.M.j , Thomas, K.M.k , Chaarani, B.g , Mejia, M.H.l , Hagler, D.J., Jr.l , Daniela Cornejo, M.l , Sicat, C.S.l , Harms, M.P.d , Dosenbach, N.U.F.e , Rosenberg, M.a , Earl, E.m , Bartsch, H.l , Watts, R.g , Polimeni, J.R.n , Kuperman, J.M.l , Fair, D.A.m , Dale, A.M.l , the ABCD Imaging Acquisition Workgroupo

a Department of Psychology, Yale University, United States
b Sackler Institute for Developmental Psycholobiology, Weill Cornell Medical College, United States
c Departments of Psychological & Brain Sciences and Psychiatry, Washington University, St. Louis, United States
d Department of Psychiatry, Washington University, St. Louis, United States
e Department of Pediatric Neurology, Washington University, St. Louis, United States
f Department of Psychiatry, University of Michigan, United States
g Departments of Psychiatry and Radiology, University of Vermont, United States
h Department of Psychology & Neuroscience, University of Colorado, Boulder, United States
i Departments of Physics and Psychology, Florida International University, United States
j Department of Psychiatry, Virginia Commonwealth University, United States
k Institute of Child Development, University of Minnesota, United States
l Center for Human Development, Departments of Neuroscience and Radiology, University of California, San Diego, United States
m Behavioral Neuroscience and Psychiatry, Oregon Health State University, United States
n Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, United States

Abstract
The ABCD study is recruiting and following the brain development and health of over 10,000 9–10 year olds through adolescence. The imaging component of the study was developed by the ABCD Data Analysis and Informatics Center (DAIC) and the ABCD Imaging Acquisition Workgroup. Imaging methods and assessments were selected, optimized and harmonized across all 21 sites to measure brain structure and function relevant to adolescent development and addiction. This article provides an overview of the imaging procedures of the ABCD study, the basis for their selection and preliminary quality assurance and results that provide evidence for the feasibility and age-appropriateness of procedures and generalizability of findings to the existent literature. © 2018 The Authors

Author Keywords
Addiction;  Adolescence;  Development;  Impulsivity;  Memory;  Reward

Document Type: Article in Press
Source: Scopus
Access Type: Open Access

"The psychometrics of the European Portuguese version of the temperament and character inventory- revised" (2017) Psychological Reports

The psychometrics of the European Portuguese version of the temperament and character inventory- revised
(2017) Psychological Reports, 120 (6), pp. 1178-1199. 

Moreira, P.A.S.a b c , Cloninger, C.R.d , Rocha, M.J.a , Oliveira, J.T.e , Ferreira, N.a , Gonçalves, D.M.e , Rózsa, S.f

a Universidade Lusíada-Norte (Porto), Portugal
b Centro de Investigação em Psicologia para o Desenvolvimento, Portugal
c Centro Lusíada de Investigação em Serviço Social e Intervenção Social, Portugal
d School of Medicine, Washington University, St. Louis, MO, United States
e Centro de Investigação em Psicologia para o Desenvolvimento, Portugal
f Department of Personality and Health Psychology, Eötvös Loránd University, Budapest, Hungary

Abstract
Cloninger’s psychobiological model of personality integrates contributions from behavioral genetics, neurobiology, and psychology in the description of the human personality. The temperament and character inventory (TCI) is its assessment instrument. The Brazilian Portuguese version of the TCI has shown good psychometric properties. However, Portuguese spoken in Brazil presents marked and substantial differences to that spoken in Portugal, and no study has yet described the psychometrics of the European Portuguese version. The objective of this study was thus to describe the psychometric properties of the European Portuguese adult version of the TCI (the temperament and character inventory-revised (TCI-R)). This study involved 1400 Portuguese adult participants. The factorial structure of the European Portuguese version was tested using four methods: exploratory factor analysis, orthogonal procrustes rotation analysis, confirmatory factor analysis, and exploratory structural equation modeling. The integration of data coming from these methods suggested that the Portuguese version of the TCI-R presented good structural validity (as revealed by the emergence of the temperament and character structures predicted by theory) and high levels of congruence between the American and the Portuguese versions. An improvement in the goodness of fit of the models for the Portuguese population was achieved by using exploratory structural equation modeling over confirmatory factor analysis. Although some facets registered questionable consistency, all dimensions had acceptable to good consistency (all ≥.79). These results confirm the validity of the Portuguese TCI-R and its adequacy for use in European Portuguese samples. © The Author(s) 2017.

Author Keywords
Personality;  Portuguese;  Psychobiological;  Psychometric properties;  Temperament and character inventory-revised

Document Type: Article
Source: Scopus

"Wide-field fast-scanning photoacoustic microscopy of brain functions in action" (2017) 2017 Conference on Lasers and Electro-Optics, CLEO 2017 – Proceedings

Wide-field fast-scanning photoacoustic microscopy of brain functions in action
(2017) 2017 Conference on Lasers and Electro-Optics, CLEO 2017 – Proceedings, 2017-January, pp. 1-2. 

Yao, J.a , Zou, J.b , Wang, L.V.c

a Department of Biomedical Engineering, Duke University, Durham, NC, United States
b Department of Electrical and Computer Engineering, Texas A and M University, College Station, TX, United States
c Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, United States

Abstract
We have developed fast functional photoacoustic microscopy for 3D high- resolution high-speed imaging of the mouse brain. In particular, a novel single-wavelength pulse- width-based method can image blood oxygenation with capillary-level resolution at 100 kHz frame rate. © 2017 IEEE.

Document Type: Conference Paper
Source: Scopus

"Procedural Requirements and Certification Paradigms for Stroke Care Delivery: Perspective of Neurointerventional Professional Societies" (2017) Stroke

Procedural Requirements and Certification Paradigms for Stroke Care Delivery: Perspective of Neurointerventional Professional Societies
(2017) Stroke, 48 (10), pp. 2901-2904. 

Bambakidis, N.C., Cockroft, K., Hu, Y.C., Hirsch, J.A., Heck, D., Furlan, A.J., Jovin, T., Mocco, J.D., Pace, J., Siddiqui, A., Amin-Hanjani, S., Zipfel, G., Hoh, B., Nakaji, P., Lavine, S., American Association of Neurological Surgeons/Congress of Neurological Surgeons Joint Cerebrovascular Section (Endorsed by Society of Vascular and Interventional Neurology, Society of NeuroInterventional Surgery, and American Society of Neuroradiology)

From the University Hospitals Cleveland Medical Center, OH (N.C.B., Y.C.H., A.J.F., J.P.); Barrow Neurological Institute, Phoenix, AZ (P.N.); Penn State Hershey Neurosurgery, PA (K.C.); Massachusetts General Hospital, Boston (J.A.H.); Forsyth Medical Center, Winston-Salem, NC (D.H.); Department of Neurology, University of Pittsburgh, PA (T.J.); Mount Sinai Hospital, New York, NY (J.D.M.); University at Buffalo Neurosurgery, NY (A.S.); University of Illinois College of Medicine, Chicago (S.A.-H.); Washington University School of Medicine, St. Louis, MO (G.Z.); Lillian S. Wells Department of Neurosurgery at the University of Florida, Gainesville (B.H.); and Columbia University Medical Center, New York, NY (S.L.)

Author Keywords
American Heart Association;  certification;  stroke;  subarachnoid hemorrhage;  United States

Document Type: Review
Source: Scopus

"The pursuit of quality for social work practice: three generations and counting" (2017) Journal of the Society for Social Work and Research

The pursuit of quality for social work practice: three generations and counting
(2017) Journal of the Society for Social Work and Research, 8 (3), pp. 335-353. 

Proctor, E.

Washington University in St. Louis, United States

Abstract
This invited article is based on the 2017 Aaron Rosen Lecture presented by Enola Proctor at the Society for Social Work and Research 21st Annual Conference-“Ensure Healthy Development for All Youth”-held January 11-15, 2017, in New Orleans, LA. The annual Aaron Rosen Lecture features distinguished scholars who have accumulated a body of significant and innovative scholarship relevant to practice, the research base for practice, or effective utilization of research in practice. © 2017 by the Society for Social Work and Research. All rights reserved.

Author Keywords
Evidence-based practice;  Implementation strategies;  Outcomes;  Quality;  Training

Document Type: Article
Source: Scopus