Literature DB >> 28480992

Inferring pathobiology from structural MRI in schizophrenia and bipolar disorder: Modeling head motion and neuroanatomical specificity.

Nailin Yao1, Anderson M Winkler1,2, Jennifer Barrett3, Gregory A Book3, Tamara Beetham1, Rachel Horseman3, Olivia Leach3, Karen Hodgson1, Emma E Knowles1, Samuel Mathias1, Michael C Stevens1,3, Michal Assaf1,3, Theo G M van Erp4, Godfrey D Pearlson1,3, David C Glahn1,3.   

Abstract

Despite over 400 peer-reviewed structural MRI publications documenting neuroanatomic abnormalities in bipolar disorder and schizophrenia, the confounding effects of head motion and the regional specificity of these defects are unclear. Using a large cohort of individuals scanned on the same research dedicated MRI with broadly similar protocols, we observe reduced cortical thickness indices in both illnesses, though less pronounced in bipolar disorder. While schizophrenia (n = 226) was associated with wide-spread surface area reductions, bipolar disorder (n = 227) and healthy comparison subjects (n = 370) did not differ. We replicate earlier reports that head motion (estimated from time-series data) influences surface area and cortical thickness measurements and demonstrate that motion influences a portion, but not all, of the observed between-group structural differences. Although the effect sizes for these differences were small to medium, when global indices were covaried during vertex-level analyses, between-group effects became nonsignificant. This analysis raises doubts about the regional specificity of structural brain changes, possible in contrast to functional changes, in affective and psychotic illnesses as measured with current imaging technology. Given that both schizophrenia and bipolar disorder showed cortical thickness reductions, but only schizophrenia showed surface area changes, and assuming these measures are influenced by at least partially unique sets of biological factors, then our results could indicate some degree of specificity between bipolar disorder and schizophrenia. Hum Brain Mapp 38:3757-3770, 2017.
© 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  bipolar disorder; head motion; neuroanatomic specificity; neuroanatomy; neuroimaging; schizophrenia; structural MRI

Mesh:

Year:  2017        PMID: 28480992      PMCID: PMC6867056          DOI: 10.1002/hbm.23612

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  66 in total

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2.  Shared Genetic Factors Influence Head Motion During MRI and Body Mass Index.

Authors:  Karen Hodgson; Russell A Poldrack; Joanne E Curran; Emma E Knowles; Samuel Mathias; Harald H H Göring; Nailin Yao; Rene L Olvera; Peter T Fox; Laura Almasy; Ravi Duggirala; Deanna M Barch; John Blangero; David C Glahn
Journal:  Cereb Cortex       Date:  2017-12-01       Impact factor: 5.357

3.  Implications of normal brain development for the pathogenesis of schizophrenia.

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4.  Longitudinal loss of gray matter volume in patients with first-episode schizophrenia: DARTEL automated analysis and ROI validation.

Authors:  Takeshi Asami; Sylvain Bouix; Thomas J Whitford; Martha E Shenton; Dean F Salisbury; Robert W McCarley
Journal:  Neuroimage       Date:  2011-09-05       Impact factor: 6.556

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6.  Ventricular enlargement in schizophrenia. A meta-analysis of studies of the ventricle:brain ratio (VBR)

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7.  Meta-analyses of studies of ventricular enlargement and cortical sulcal prominence in mood disorders. Comparisons with controls or patients with schizophrenia.

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8.  Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium.

Authors:  T G M van Erp; D P Hibar; J M Rasmussen; D C Glahn; G D Pearlson; O A Andreassen; I Agartz; L T Westlye; U K Haukvik; A M Dale; I Melle; C B Hartberg; O Gruber; B Kraemer; D Zilles; G Donohoe; S Kelly; C McDonald; D W Morris; D M Cannon; A Corvin; M W J Machielsen; L Koenders; L de Haan; D J Veltman; T D Satterthwaite; D H Wolf; R C Gur; R E Gur; S G Potkin; D H Mathalon; B A Mueller; A Preda; F Macciardi; S Ehrlich; E Walton; J Hass; V D Calhoun; H J Bockholt; S R Sponheim; J M Shoemaker; N E M van Haren; H E Hulshoff Pol; H E H Pol; R A Ophoff; R S Kahn; R Roiz-Santiañez; B Crespo-Facorro; L Wang; K I Alpert; E G Jönsson; R Dimitrova; C Bois; H C Whalley; A M McIntosh; S M Lawrie; R Hashimoto; P M Thompson; J A Turner
Journal:  Mol Psychiatry       Date:  2015-06-02       Impact factor: 15.992

9.  Individual differences in impulsivity predict head motion during magnetic resonance imaging.

Authors:  Xiang-Zhen Kong; Zonglei Zhen; Xueting Li; Huan-Hua Lu; Ruosi Wang; Ling Liu; Yong He; Yufeng Zang; Jia Liu
Journal:  PLoS One       Date:  2014-08-22       Impact factor: 3.240

10.  Genome wide association for addiction: replicated results and comparisons of two analytic approaches.

Authors:  Tomas Drgon; Ping-Wu Zhang; Catherine Johnson; Donna Walther; Judith Hess; Michelle Nino; George R Uhl
Journal:  PLoS One       Date:  2010-01-21       Impact factor: 3.240

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  7 in total

1.  Linking Cortical and Connectional Pathology in Schizophrenia.

Authors:  Maria Angelique Di Biase; Vanessa L Cropley; Luca Cocchi; Alexander Fornito; Fernando Calamante; Eleni P Ganella; Christos Pantelis; Andrew Zalesky
Journal:  Schizophr Bull       Date:  2019-06-18       Impact factor: 9.306

2.  Head motion: the dirty little secret of neuroimaging in psychiatry

Authors:  Carolina Makowski; Martin Lepage; Alan C. Evans
Journal:  J Psychiatry Neurosci       Date:  2019-01-01       Impact factor: 6.186

3.  Structural Associations of Cortical Contrast and Thickness in First Episode Psychosis.

Authors:  Carolina Makowski; John D Lewis; Claude Lepage; Ashok K Malla; Ridha Joober; Martin Lepage; Alan C Evans
Journal:  Cereb Cortex       Date:  2019-12-17       Impact factor: 5.357

4.  Cortical Surface Area Rather Than Cortical Thickness Potentially Differentiates Radiation Encephalopathy at Early Stage in Patients With Nasopharyngeal Carcinoma.

Authors:  You-Ming Zhang; Ming-Na Chen; Xiao-Ping Yi; Li Li; Jian-Ming Gao; Jin-Lei Zhang; Xin-Ru Yuan; Na Zhang; Li-Zhi Liu; Pei-Qiang Cai; Bihong T Chen; Chishing Zee; Wei-Hua Liao; Yuan-Chao Zhang
Journal:  Front Neurosci       Date:  2018-08-27       Impact factor: 4.677

5.  Detecting Abnormal Brain Regions in Schizophrenia Using Structural MRI via Machine Learning.

Authors:  ZhiHong Chen; Tao Yan; ErLei Wang; Hong Jiang; YiQian Tang; Xi Yu; Jian Zhang; Chang Liu
Journal:  Comput Intell Neurosci       Date:  2020-04-05

6.  Multimodal imaging improves brain age prediction and reveals distinct abnormalities in patients with psychiatric and neurological disorders.

Authors:  Jaroslav Rokicki; Thomas Wolfers; Wibeke Nordhøy; Natalia Tesli; Daniel S Quintana; Dag Alnaes; Genevieve Richard; Ann-Marie G de Lange; Martina J Lund; Linn Norbom; Ingrid Agartz; Ingrid Melle; Terje Naerland; Geir Selbaek; Karin Persson; Jan Egil Nordvik; Emanuel Schwarz; Ole A Andreassen; Tobias Kaufmann; Lars T Westlye
Journal:  Hum Brain Mapp       Date:  2020-12-19       Impact factor: 5.038

Review 7.  What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group.

Authors:  Christopher R K Ching; Derrek P Hibar; Tiril P Gurholt; Abraham Nunes; Sophia I Thomopoulos; Christoph Abé; Ingrid Agartz; Rachel M Brouwer; Dara M Cannon; Sonja M C de Zwarte; Lisa T Eyler; Pauline Favre; Tomas Hajek; Unn K Haukvik; Josselin Houenou; Mikael Landén; Tristram A Lett; Colm McDonald; Leila Nabulsi; Yash Patel; Melissa E Pauling; Tomas Paus; Joaquim Radua; Marcio G Soeiro-de-Souza; Giulia Tronchin; Neeltje E M van Haren; Eduard Vieta; Henrik Walter; Ling-Li Zeng; Martin Alda; Jorge Almeida; Dag Alnaes; Silvia Alonso-Lana; Cara Altimus; Michael Bauer; Bernhard T Baune; Carrie E Bearden; Marcella Bellani; Francesco Benedetti; Michael Berk; Amy C Bilderbeck; Hilary P Blumberg; Erlend Bøen; Irene Bollettini; Caterina Del Mar Bonnin; Paolo Brambilla; Erick J Canales-Rodríguez; Xavier Caseras; Orwa Dandash; Udo Dannlowski; Giuseppe Delvecchio; Ana M Díaz-Zuluaga; Danai Dima; Édouard Duchesnay; Torbjørn Elvsåshagen; Scott C Fears; Sophia Frangou; Janice M Fullerton; David C Glahn; Jose M Goikolea; Melissa J Green; Dominik Grotegerd; Oliver Gruber; Bartholomeus C M Haarman; Chantal Henry; Fleur M Howells; Victoria Ives-Deliperi; Andreas Jansen; Tilo T J Kircher; Christian Knöchel; Bernd Kramer; Beny Lafer; Carlos López-Jaramillo; Rodrigo Machado-Vieira; Bradley J MacIntosh; Elisa M T Melloni; Philip B Mitchell; Igor Nenadic; Fabiano Nery; Allison C Nugent; Viola Oertel; Roel A Ophoff; Miho Ota; Bronwyn J Overs; Daniel L Pham; Mary L Phillips; Julian A Pineda-Zapata; Sara Poletti; Mircea Polosan; Edith Pomarol-Clotet; Arnaud Pouchon; Yann Quidé; Maria M Rive; Gloria Roberts; Henricus G Ruhe; Raymond Salvador; Salvador Sarró; Theodore D Satterthwaite; Aart H Schene; Kang Sim; Jair C Soares; Michael Stäblein; Dan J Stein; Christian K Tamnes; Georgios V Thomaidis; Cristian Vargas Upegui; Dick J Veltman; Michèle Wessa; Lars T Westlye; Heather C Whalley; Daniel H Wolf; Mon-Ju Wu; Lakshmi N Yatham; Carlos A Zarate; Paul M Thompson; Ole A Andreassen
Journal:  Hum Brain Mapp       Date:  2020-07-29       Impact factor: 5.399

  7 in total

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