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Start Over Author "Sean N. Hatton" Journal molecular psychiatry
5 results on '"Sean N. Hatton"'

1. Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders: Evidence through univariate and multivariate mega-analysis including 6420 participants from the ENIGMA MDD working group

Author

Meng Li, Thomas Frodl, Lyubomir I. Aftanas, Ben J. Harrison, Frank P. MacMaster, Jair C. Soares, Axel Krug, Benson Mwangi, Christopher G. Davey, Sean N. Hatton, Nynke A. Groenewold, Giovana Zunta-Soares, Angela Carballedo, Bonnie Klimes-Dougan, Katharina Wittfeld, Ilya M. Veer, Philipp G. Sämann, Nils Opel, Ramona Leenings, Yuri Milaneschi, Ian B. Hickie, Dominik Grotegerd, Kathryn R. Cullen, Heather C. Whalley, Henry Völzke, Bernhard T. Baune, Maike Richter, Lianne Schmaal, Andrew M. McIntosh, Jim Lagopoulos, Dan J. Stein, Brenda W.J.H. Penninx, Mon-Ju Wu, Ivan V. Brak, Anouk Schrantee, André Aleman, Georg Woditsch, Janik Goltermann, Elena Pozzi, Kang Sim, Norbert Hosten, Liesbeth Reneman, Hans J. Grabe, Bryon A. Mueller, Klaus Berger, Udo Dannlowski, Martin Walter, Anbupalam Thalamuthu, Tim Hahn, Paul M. Thompson, Igor Nenadic, Laura Nawijn, Evgeniy A. Osipov, Claas Flint, Dick J. Veltman, Tilo Kircher, Henrik Walter, Mathew A. Harris, Marco Hermesdorf, Elena Filimonova, Sandra Van der Auwera, Matthew D. Sacchet, Neda Jahanshad, Ian H. Gotlib, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Clinical Neuropsychology, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, Anatomy and neurosciences, Amsterdam Neuroscience - Brain Imaging, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, APH - Personalized Medicine, APH - Global Health, APH - Digital Health, Radiology and Nuclear Medicine, ANS - Brain Imaging, ANS - Compulsivity, Impulsivity & Attention, and Ontwikkelingspsychologie (Psychologie, FMG)

Subjects
0301 basic medicine, Oncology, medicine.medical_specialty, Multivariate statistics, Overweight, 03 medical and health sciences, Cellular and Molecular Neuroscience, genetics [Obesity], 0302 clinical medicine, Risk Factors, Internal medicine, medicine, Humans, Obesity, ddc:610, diagnostic imaging [Brain], Molecular Biology, Stroke, Pathological, Depression (differential diagnoses), Aged, Cerebral Cortex, Depressive Disorder, Major, business.industry, Brain, genetics [Depressive Disorder, Major], medicine.disease, Magnetic Resonance Imaging, Psychiatry and Mental health, 030104 developmental biology, Major depressive disorder, medicine.symptom, business, Body mass index, 030217 neurology & neurosurgery
Abstract

Emerging evidence suggests that obesity impacts brain physiology at multiple levels. Here we aimed to clarify the relationship between obesity and brain structure using structural MRI (n = 6420) and genetic data (n = 3907) from the ENIGMA Major Depressive Disorder (MDD) working group. Obesity (BMI > 30) was significantly associated with cortical and subcortical abnormalities in both mass-univariate and multivariate pattern recognition analyses independent of MDD diagnosis. The most pronounced effects were found for associations between obesity and lower temporo-frontal cortical thickness (maximum Cohen´s d (left fusiform gyrus) = −0.33). The observed regional distribution and effect size of cortical thickness reductions in obesity revealed considerable similarities with corresponding patterns of lower cortical thickness in previously published studies of neuropsychiatric disorders. A higher polygenic risk score for obesity significantly correlated with lower occipital surface area. In addition, a significant age-by-obesity interaction on cortical thickness emerged driven by lower thickness in older participants. Our findings suggest a neurobiological interaction between obesity and brain structure under physiological and pathological brain conditions.

Published
2021

2. Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

Author

Thomas Frodl, Eduard Vieta, Sean N. Hatton, Sophia I. Thomopoulos, Jens Sommer, Fábio L.S. Duran, Pauline Favre, Cynthia H.Y. Fu, Tony T. Yang, Knut Schnell, Tilo Kircher, Gloria Roberts, Lyubomir I. Aftanas, Norbert Hosten, Elena Pozzi, Henrik Walter, Pedro G.P. Rosa, Oliver Gruber, Colm G. Connolly, Klaus Berger, Jonathan Repple, Geraldo Busatto Filho, Tomas Hajek, Bernd Kramer, Salvador Sarró, Ulrik Fredrik Malt, Richard Dinga, Danai Dima, Mikael Landén, Laura K.M. Han, Jonathan Savitz, Peter R. Schofield, Axel Krug, Maria M. Rive, Caterina del Mar Bonnín, Edith Pomarol-Clotet, Olaf Steinsträter, Chantal Henry, Udo Dannlowski, Henricus G. Ruhé, Mauricio H. Serpa, Quinn McLellan, Benson Mwangi, Philipp G. Saemann, Christopher G. Davey, Marie-José van Tol, Mircea Polosan, Torbjørn Elvsåshagen, Nynke A. Groenewold, Marcus V. Zanetti, Claas Kähler, Jair C. Soares, Steven J.A. van der Werff, Kathryn R. Cullen, Lachlan T. Strike, Ilya M. Veer, Beata R. Godlewska, Giovana Zunta-Soares, Xavier Caseras, Janice M. Fullerton, Bronwyn Overs, Tiffany M. Chaim-Avancini, Lisa T. Eyler, Theodore D. Satterthwaite, Martin Ingvar, Ramona Leenings, Angela Carballedo, Brenda W.J.H. Penninx, Ian B. Hickie, James H. Cole, Elena Filimonova, Márcio Gerhardt Soeiro-de-Souza, Rayus Kuplicki, Leila Nabulsi, Ben J. Harrison, Aart H. Schene, Ivan V. Brak, Nic J.A. van der Wee, Hans J. Grabe, Katharina Wittfeld, Anouk Schrantee, Matthew D. Sacchet, Margaret J. Wright, Dan J. Stein, Erlend Bøen, Heather C. Whalley, Egle Simulionyte, Fleur M. Howells, Tim Hahn, Lianne Schmaal, Garrett M. Timmons, Bartholomeus C M Haarman, Kang Sim, Andrew M. McIntosh, Moji Aghajani, Jim Lagopoulos, Anne Uhlmann, Rodrigo Machado-Vieira, Jose Manuel Goikolea, Mon-Ju Wu, Christopher R.K. Ching, Dara M. Cannon, Liesbeth Reneman, Andreas Jansen, Josselin Houenou, Ian H. Gotlib, Bonnie Klimes-Dougan, Raymond Salvador, Maria J. Portella, Ole A. Andreassen, Greig I. de Zubicaray, Robert Vermeiren, Bryon A. Mueller, Nils R. Winter, Dick J. Veltman, Neda Jahanshad, Stefan Frenzel, Philip B. Mitchell, Colm McDonald, Henry Völzke, Daniel H. Wolf, Katie L. McMahon, Evgeny Osipov, Marco Hermesdorf, Tiffany C. Ho, Bernhard T. Baune, Paul M. Thompson, Glenda MacQueen, Andre F. Marquand, Maria Concepcion Garcia Otaduy, Vasileios Zannias, Christoph Abé, Ashley N. Sutherland, Sarah E. Medland, Beny Lafer, Erick J. Canales-Rodríguez, Geoffrey B. Hall, Martin Alda, Henk Temmingh, Sonya Foley, Verena Enneking, Frank P. MacMaster, Dominik Grotegerd, Joaquim Radua, Baptiste Couvy-Duchesne, André Aleman, Radiology and Nuclear Medicine, ANS - Brain Imaging, ANS - Compulsivity, Impulsivity & Attention, APH - Personalized Medicine, APH - Mental Health, Ontwikkelingspsychologie (Psychologie, FMG), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Clinical Neuropsychology, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Radiology and nuclear medicine, Pediatric surgery, Amsterdam Reproduction & Development (AR&D), Anatomy and neurosciences, Amsterdam Neuroscience - Brain Imaging, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Neuroscience - Complex Trait Genetics, and APH - Digital Health

Subjects
Adult, Male, medicine.medical_specialty, Aging, Adolescent, Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13], BF, Health outcomes, Article, Cellular and Molecular Neuroscience, 03 medical and health sciences, Lateral ventricles, Young Adult, 0302 clinical medicine, Atrophy, Internal medicine, medicine, Humans, ddc:610, Longitudinal Studies, Molecular Biology, diagnostic imaging [Brain], Brain aging, Depression (differential diagnoses), 030304 developmental biology, Aged, 0303 health sciences, Depressive Disorder, Major, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], business.industry, Depression, 220 Statistical Imaging Neuroscience, Brain, Chronological age, Middle Aged, medicine.disease, Magnetic Resonance Imaging, 030227 psychiatry, Psychiatry and Mental health, Increased risk, RC0321, Major depressive disorder, Female, Age of onset, business, 030217 neurology & neurosurgery, Neuroscience
Abstract

BackgroundMajor depressive disorder (MDD) is associated with an increased risk of brain atrophy, aging-related diseases, and mortality. We examined potential advanced brain aging in MDD patients, and whether this process is associated with clinical characteristics in a large multi-center international dataset.MethodsWe performed a mega-analysis by pooling brain measures derived from T1-weighted MRI scans from 29 samples worldwide. Normative brain aging was estimated by predicting chronological age (10-75 years) from 7 subcortical volumes, 34 cortical thickness and 34 surface area, lateral ventricles and total intracranial volume measures separately in 1,147 male and 1,386 female controls from the ENIGMA MDD working group. The learned model parameters were applied to 1,089 male controls and 1,167 depressed males, and 1,326 female controls and 2,044 depressed females to obtain independent unbiased brain-based age predictions. The difference between predicted “brain age” and chronological age was calculated to indicate brain predicted age difference (brain-PAD).FindingsOn average, MDD patients showed a higher brain-PAD of +0.90 (SE 0.21) years (Cohen’s d=0.12, 95% CI 0.06-0.17) compared to controls. Relative to controls, first-episode and currently depressed patients showed higher brain-PAD (+1.2 [0.3] years), and the largest effect was observed in those with late-onset depression (+1.7 [0.7] years). In addition, higher brain-PAD was associated with higher self-reported depressive symptomatology (b=0.05, p=0.004).InterpretationThis highly powered collaborative effort showed subtle patterns of abnormal structural brain aging in MDD. Substantial within-group variance and overlap between groups were observed. Longitudinal studies of MDD and somatic health outcomes are needed to further assess the predictive value of these brain-PAD estimates.FundingThis work was supported, in part, by NIH grants U54 EB020403 and R01 MH116147.

Published
2021

3. Use of an Alzheimer’s disease polygenic risk score to identify mild cognitive impairment in adults in their 50s

Author

Jeremy A. Elman, Michael C. Neale, Ole A. Andreassen, Xin Tu, Daniel E. Gustavson, Mark W. Logue, Matthew S. Panizzon, Anders M. Dale, William S. Kremen, Sean N. Hatton, Carol E. Franz, Chandra A. Reynolds, Nathan A. Gillespie, and Michael J. Lyons

Subjects
Male, 0301 basic medicine, Multifactorial Inheritance, medicine.medical_specialty, Disease, Neuropsychological Tests, Proof of Concept Study, Sensitivity and Specificity, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, Cognition, 0302 clinical medicine, Alzheimer Disease, Risk Factors, Internal medicine, Diabetes mellitus, mental disorders, medicine, Humans, Dementia, Cognitive Dysfunction, Genetic Testing, Molecular Biology, Pathological, business.industry, Neuropsychology, Odds ratio, Middle Aged, medicine.disease, Twin study, Psychiatry and Mental health, 030104 developmental biology, Quartile, Disease Progression, business, 030217 neurology & neurosurgery
Abstract

Early identification of younger, non-demented adults at elevated risk for Alzheimer's disease (AD) is crucial because the pathological process begins decades before dementia onset. Toward that end, we showed that an AD polygenic risk score (PRS) could identify mild cognitive impairment (MCI) in adults who were only in their 50s. Participants were 1176 white, non-Hispanic community-dwelling men of European ancestry in the Vietnam Era Twin Study of Aging (VETSA): 7% with amnestic MCI (aMCI); 4% with non-amnestic MCI (naMCI). Mean age was 56 years, with 89%

Published
2018

4. Response to Dr Fried & Dr Kievit, and Dr Malhi et al

Author

A. Block, Bartosz Zurowski, Wiro J. Niessen, Katie L. McMahon, D. Schoepf, Roberto Goya-Maldonado, Brenda W.J.H. Penninx, Jess E. Sussmann, Sean N. Hatton, Jim Lagopoulos, ENIGMA-Major Depressive Disorder, Miguel E. Rentería, Michael Czisch, T.G.M. van Erp, Lachlan T. Strike, Meike W. Vernooij, M. A. Ikram, D. Hoehn, D.J. Veltman, Philipp G. Saemann, N.J. van der Wee, G.I. de Zubicaray, Derrek P. Hibar, Oliver Gruber, Beata R. Godlewska, Claus Normann, Neda Jahanshad, S. E. Medland, Elizabeth Loehrer, Lianne Schmaal, Ilya M. Veer, Paul M. Thompson, K. Wittfeld, Bernd Kraemer, Katrin Hegenscheid, Ian B. Hickie, Elisabeth Schramm, L. S. van Velzen, Andrew M. McIntosh, H. J. Grabe, Nathan A. Gillespie, Henrik Walter, Geoffrey B. Hall, Felix Fischer, Carsten Konrad, Heather C. Whalley, Baptiste Couvy-Duchesne, M-J van Tol, Thomas Frodl, and Margaret J. Wright

Subjects
medicine.medical_specialty, business.industry, medicine.disease, 030227 psychiatry, 03 medical and health sciences, Cellular and Molecular Neuroscience, Psychiatry and Mental health, 0302 clinical medicine, medicine, Major depressive disorder, Anxiety, ddc:610, medicine.symptom, Psychiatry, business, Molecular Biology, 030217 neurology & neurosurgery, Early onset
Published
2016

5. Widespread white matter microstructural differences in schizophrenia across 4322 individuals: results from the ENIGMA Schizophrenia DTI Working Group

Author

Ulrich Schall, Dominick T. Newell, Colm McDonald, Valentina Ciullo, Suresh Sundram, Neda Jahanshad, Martha E. Shenton, Daniel H. Mathalon, Jiri Horacek, Theodore D. Satterthwaite, Nhat Trung Doan, Stanley V. Catts, H. S. Temmingh, H. Yamamori, L. E. Hong, H. Guo, René S. Kahn, Dan J. Stein, Kelvin O. Lim, Jason M. Bruggemann, L. Flyckt, Randy L. Gollub, Marc L. Seal, Antonio Pereira, X. Chen, Sarah McEwen, Steven G. Potkin, Stephen M. Lawrie, Derrek P. Hibar, Masaki Fukunaga, Adrian Preda, Benedicto Crespo-Facorro, Jun Soo Kwon, P. Wan, R. W. McCarley, Patricia T. Michie, Nailin Yao, Frans Henskens, Juan R. Bustillo, Tonya White, Marek Kubicki, Tomas Melicher, Judith M. Ford, F. M. Fan, Erin W. Dickie, Rodney J. Scott, P. De Rossi, Thomas J. Whitford, Amanda E. Lyall, J. Chen, Wiepke Cahn, A. S. Corvin, David R. Roalf, Sylvain Bouix, Craig L. Hyde, Filip Spaniel, Vincent A. Magnotta, Lena K. L. Oestreich, S. Tang, Zora Kikinis, Carlos López-Jaramillo, Siren Tønnesen, Christopher D. Whelan, Z. Xie, Paul Klauser, Gaia Romana Pellicano, D. Rotenberg, Vaughan J. Carr, Thomas W. Weickert, Stefan Ehrlich, Larry J. Seidman, Clara Alloza, Claudia D. Vargas, Fleur M. Howells, Dara M. Cannon, Emma Sprooten, René C.W. Mandl, R. Roiz, Erik G. Jönsson, Bryon A. Mueller, D. Wei, Chiara Chiapponi, Kl K. Cho, J. Q. Voyvodic, J. Pineda Zapata, S. Tan, Jatin G. Vaidya, Jim Lagopoulos, K. Liu, T.G.M. van Erp, C. Knöchel, Jingjing Zhao, Rachel M. Brouwer, Andrew Zalesky, Philip R. Jansen, Ofer Pasternak, N.E.M. van Haren, V.D. Calhoun, Sinead Kelly, L. A. Jung, Ole A. Andreassen, R.E. Gur, Sara A. Paciga, Patricio O'Donnell, Dennis Velakoulis, Annerine Roos, Dmitry Isaev, F. Piras, Helena Fatouros-Bergman, Joshua Faskowitz, Ryota Hashimoto, V. Oertel-Knöchel, Diana Tordesillas-Gutiérrez, Simon McCarthy-Jones, Godfrey D. Pearlson, Covadonga M. Díaz-Caneja, Lars T. Westlye, Andrew M. McIntosh, Peter Savadjiev, Chad A. Bousman, Nerisa Banaj, P. E. Rasser, Heather C. Whalley, Hilleke E. Hulshoff Pol, David C. Glahn, Vanessa Cropley, Aristotle N. Voineskos, G. Zhang, Y. Tan, Jessica A. Turner, Celso Arango, M. Stäblein, Paul M. Thompson, Daniela Vecchio, Ian B. Hickie, Zhen Wang, Joanne Wojcik, C. Shannon Weickert, Sean N. Hatton, Raquelle I. Mesholam-Gately, Rhoshel K. Lenroot, Gianfranco Spalletta, J. X. Chen, Jean-Paul Fouche, Ingrid Agartz, Assen Jablensky, H. Xiang, Bryan J. Mowry, Michael Gill, Gary Donohoe, E. D. Goudzwaard, Ruben C. Gur, Christos Pantelis, Joost Janssen, Tiril P. Gurholt, F. Yang, Peter Kochunov, Carolyn D. Langen, Anesthesiology, Biomedical Engineering and Physics, Human Genetics, Graduate School, CCA - Imaging and biomarkers, AII - Infectious diseases, AII - Inflammatory diseases, Endocrinology, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, Ophthalmology, Radiotherapy, CCA - Cancer Treatment and Quality of Life, Radiology and Nuclear Medicine, Universidad de Cantabria, Radiology & Nuclear Medicine, Erasmus MC other, and Child and Adolescent Psychiatry / Psychology

Subjects
Male, Internal capsule, corpus-callosum, Image Processing, anterior commissure, Esquizofrenia, Audiology, Corpus callosum, diffusion tensor imaging (DTI), Corpus Callosum, spatial statistics, Cohort Studies, 0302 clinical medicine, Computer-Assisted, Corpus Callosum/physiopathology, 80 and over, Image Processing, Computer-Assisted, internal capsule, Aged, 80 and over, Imagen de Difusión Tensora, Brain, Middle Aged, White Matter, 3. Good health, Diffusion Magnetic Resonance Imaging/methods, Psychiatry and Mental health, medicine.anatomical_structure, Diffusion Tensor Imaging, Schizophrenia, white matter (WM), connectivity, Original Article, Female, Psychology, fractional anisotropy, Adult, medicine.medical_specialty, brain, Aged, Brain/physiopathology, Diffusion Tensor Imaging/methods, Humans, Schizophrenia/diagnostic imaging, Schizophrenia/physiopathology, White Matter/physiopathology, White Matter/ultrastructure, Young Adult, Anterior commissure, size, White matter, 03 medical and health sciences, Cellular and Molecular Neuroscience, Corona radiata, registration, Fractional anisotropy, medicine, Journal Article, Molecular Biology, Sustancia Blanca, mri, schizophrenia, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], medicine.disease, 030227 psychiatry, Diffusion Magnetic Resonance Imaging, Neuroscience, 030217 neurology & neurosurgery, Diffusion MRI
Abstract

Contains fulltext : 193179.pdf (Publisher’s version ) (Open Access) The regional distribution of white matter (WM) abnormalities in schizophrenia remains poorly understood, and reported disease effects on the brain vary widely between studies. In an effort to identify commonalities across studies, we perform what we believe is the first ever large-scale coordinated study of WM microstructural differences in schizophrenia. Our analysis consisted of 2359 healthy controls and 1963 schizophrenia patients from 29 independent international studies; we harmonized the processing and statistical analyses of diffusion tensor imaging (DTI) data across sites and meta-analyzed effects across studies. Significant reductions in fractional anisotropy (FA) in schizophrenia patients were widespread, and detected in 20 of 25 regions of interest within a WM skeleton representing all major WM fasciculi. Effect sizes varied by region, peaking at (d=0.42) for the entire WM skeleton, driven more by peripheral areas as opposed to the core WM where regions of interest were defined. The anterior corona radiata (d=0.40) and corpus callosum (d=0.39), specifically its body (d=0.39) and genu (d=0.37), showed greatest effects. Significant decreases, to lesser degrees, were observed in almost all regions analyzed. Larger effect sizes were observed for FA than diffusivity measures; significantly higher mean and radial diffusivity was observed for schizophrenia patients compared with controls. No significant effects of age at onset of schizophrenia or medication dosage were detected. As the largest coordinated analysis of WM differences in a psychiatric disorder to date, the present study provides a robust profile of widespread WM abnormalities in schizophrenia patients worldwide. Interactive three-dimensional visualization of the results is available at www.enigma-viewer.org.

Published
2017
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