Brain structural covariance networks in obsessive-compulsive disorder: a graph analysis from the ENIGMA Consortium.
СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Yun Je-Yeon, Boedhoe Premika S W, Vriend Chris, Jahanshad Neda, Abe Yoshinari, Ameis Stephanie H, Anticevic Alan, Arnold Paul D, Batistuzzo Marcelo C, Benedetti Francesco, Beucke Jan C, Bollettini Irene, Bose Anushree, Brem Silvia, Calvo Anna, Cheng Yuqi, Cho Kang Ik K, Ciullo Valentina, Dallaspezia Sara, Denys Damiaan, Feusner Jamie D, Fouche Jean-Paul, Giménez Mònica, Gruner Patricia, Hibar Derrek P, Hoexter Marcelo Q, Hu Hao, Huyser Chaim, Ikari Keisuke, Kathmann Norbert, Kaufmann Christian, Koch Kathrin, Lazaro Luisa, Lochner Christine, Marques Paulo, Marsh Rachel, Martínez-Zalacaín Ignacio, Mataix-Cols David, Menchón José M, Minuzzi Luciano, Morgado Pedro, Moreira Pedro, Nakamae Takashi, Nakao Tomohiro, Narayanaswamy Janardhanan C, Nurmi Erika L, O'Neill Joseph, Piacentini John, Piras Fabrizio, Piras Federica, Reddy Y C Janardhan, Sato Joao R, Simpson H Blair, Soreni Noam, Soriano-Mas Carles, Spalletta Gianfranco, Stevens Michael C, Szeszko Philip R, Tolin David F, Venkatasubramanian Ganesan, Walitza Susanne, Wang Zhen, van Wingen Guido A, Xu Jian, Xu Xiufeng, Zhao Qing, ENIGMA-OCD working group, Thompson Paul M, Stein Dan J, van den Heuvel Odile A, Kwon Jun Soo
Аннотация
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.