Brain structural covariance networks in obsessive-compulsive disorder: a graph analysis from the ENIGMA Consortium.

Journal: Brain : a journal of neurology

Volume: 143

Issue: 2

Year of Publication: 2020

Affiliated Institutions:  Seoul National University Hospital, Seoul, Republic of Korea. Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands. Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, USA. Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan. The Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health, Campbell Family Mental Health Research Institute, The Centre for Addiction and Mental Health, Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Canada. Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA. Mathison Centre for Mental Health Research and Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada. Departamento e Instituto de Psiquiatria do Hospital das Clinicas, IPQ HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, SP, Brazil. Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy. Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany. Obsessive-Compulsive Disorder (OCD) Clinic Department of Psychiatry National Institute of Mental Health and Neurosciences, Bangalore, India. Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland. Magnetic Resonance Image Core Facility, IDIBAPS (Institut d'Investigacions Biomèdiques August Pi i Sunyer), Barcelona, Spain. Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China. Institute of Human Behavioral Medicine, SNU-MRC, Seoul, Republic of Korea. Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy. Amsterdam UMC, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands. Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA. SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, Cape Town, South Africa. Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, Barcelona, Spain. Shanghai Mental Health Center Shanghai Jiao Tong University School of Medicine, PR China. De Bascule, Academic Center for Child and Adolescent Psychiatry, Amsterdam, The Netherlands. Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, -- Maidashi Higashi-ku, Fukuoka, Japan. Department of Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Germany. Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic Universitari, Barcelona, Spain. SAMRC Unit on Anxiety and Stress Disorders, Department of Psychiatry, University of Stellenbosch, South Africa. Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal. Columbia University Medical College, Columbia University, New York, NY, USA. Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain. Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden. McMaster University, Department of Psychiatry and Behavioural Neurosciences, Hamilton, Ontario, Canada. Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan. Center for Mathematics, Computing and Cognition, Universidade Federal do ABC, Santo Andre, Brazil. Pediatric OCD Consultation Service, Anxiety Treatment and Research Center, St. Joseph's HealthCare, Hamilton, Ontario, Canada. Yale University School of Medicine, New Haven, Connecticut, USA. Icahn School of Medicine at Mount Sinai, New York, USA. Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, PR China. Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.

Abstract summary 

Brain structural covariance networks reflect covariation in morphology of different brain areas and are thought to reflect common trajectories in brain development and maturation. Large-scale investigation of structural covariance networks in obsessive-compulsive disorder (OCD) may provide clues to the pathophysiology of this neurodevelopmental disorder. Using T1-weighted MRI scans acquired from 1616 individuals with OCD and 1463 healthy controls across 37 datasets participating in the ENIGMA-OCD Working Group, we calculated intra-individual brain structural covariance networks (using the bilaterally-averaged values of 33 cortical surface areas, 33 cortical thickness values, and six subcortical volumes), in which edge weights were proportional to the similarity between two brain morphological features in terms of deviation from healthy controls (i.e. z-score transformed). Global networks were characterized using measures of network segregation (clustering and modularity), network integration (global efficiency), and their balance (small-worldness), and their community membership was assessed. Hub profiling of regional networks was undertaken using measures of betweenness, closeness, and eigenvector centrality. Individually calculated network measures were integrated across the 37 datasets using a meta-analytical approach. These network measures were summated across the network density range of K = 0.10-0.25 per participant, and were integrated across the 37 datasets using a meta-analytical approach. Compared with healthy controls, at a global level, the structural covariance networks of OCD showed lower clustering (P < 0.0001), lower modularity (P < 0.0001), and lower small-worldness (P = 0.017). Detection of community membership emphasized lower network segregation in OCD compared to healthy controls. At the regional level, there were lower (rank-transformed) centrality values in OCD for volume of caudate nucleus and thalamus, and surface area of paracentral cortex, indicative of altered distribution of brain hubs. Centrality of cingulate and orbito-frontal as well as other brain areas was associated with OCD illness duration, suggesting greater involvement of these brain areas with illness chronicity. In summary, the findings of this study, the largest brain structural covariance study of OCD to date, point to a less segregated organization of structural covariance networks in OCD, and reorganization of brain hubs. The segregation findings suggest a possible signature of altered brain morphometry in OCD, while the hub findings point to OCD-related alterations in trajectories of brain development and maturation, particularly in cingulate and orbitofrontal regions.

Authors & Co-authors:  Yun Je-Yeon JY Boedhoe Premika S W PSW Vriend Chris C Jahanshad Neda N Abe Yoshinari Y Ameis Stephanie H SH Anticevic Alan A Arnold Paul D PD Batistuzzo Marcelo C MC Benedetti Francesco F Beucke Jan C JC Bollettini Irene I Bose Anushree A Brem Silvia S Calvo Anna A Cheng Yuqi Y Cho Kang Ik K KIK Ciullo Valentina V Dallaspezia Sara S Denys Damiaan D Feusner Jamie D JD Fouche Jean-Paul JP Giménez Mònica M Gruner Patricia P Hibar Derrek P DP Hoexter Marcelo Q MQ Hu Hao H Huyser Chaim C Ikari Keisuke K Kathmann Norbert N Kaufmann Christian C Koch Kathrin K Lazaro Luisa L Lochner Christine C Marques Paulo P Marsh Rachel R Martínez-Zalacaín Ignacio I Mataix-Cols David D Menchón José M JM Minuzzi Luciano L Morgado Pedro P Moreira Pedro P Nakamae Takashi T Nakao Tomohiro T Narayanaswamy Janardhanan C JC Nurmi Erika L EL O'Neill Joseph J Piacentini John J Piras Fabrizio F Piras Federica F Reddy Y C Janardhan YCJ Sato Joao R JR Simpson H Blair HB Soreni Noam N Soriano-Mas Carles C Spalletta Gianfranco G Stevens Michael C MC Szeszko Philip R PR Tolin David F DF Venkatasubramanian Ganesan G Walitza Susanne S Wang Zhen Z van Wingen Guido A GA Xu Jian J Xu Xiufeng X Zhao Qing Q Thompson Paul M PM Stein Dan J DJ van den Heuvel Odile A OA Kwon Jun Soo JS

Study Outcome 

Source Link: Visit source

Statistics
Citations :  Aboud KS, Huo Y, Kang H, Ealey A, Resnick SM, Landman BA, et al.Structural covariance across the lifespan: brain development and aging through the lens of inter-network relationships. Hum Brain Mapp 2019; 40: 125–36.
Authors :  71
Identifiers
Doi : 10.1093/brain/awaa001
SSN : 1460-2156
Study Population
Male,Female
Mesh Terms
Adult
Other Terms
brain structural covariance network;graph theory;illness duration;obsessive-compulsive disorder;pharmacotherapy
Study Design
Cross Sectional Study
Study Approach
Country of Study
Publication Country
England