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

Authors :
Yun, Je-Yeon
Boedhoe, Premika
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
Lázaro, Luisa
Lochner, Christine
Marques, Paulo
Marsh, Rachel
Martínez-Zalacaín, Ignacio
Mataix-Cols, David
Menchón Magriñá, José Manuel
Minuzzi, Luciano
Morgado, Pedro
Moreira, Pedro
Nakamae, Takashi
Nakao, Tomohiro
Narayanaswamy, Janardhanan C.
Nurmi, Erica 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
Thompson, Paul M.
Stein, Dan J.
van den Heuvel, Odile A.
Kwon, Jun Soo
Yun, J. -Y.
Boedhoe, P. S. W.
Vriend, C.
Jahanshad, N.
Abe, Y.
Ameis, S. H.
Anticevic, A.
Arnold, P. D.
Batistuzzo, M. C.
Benedetti, F.
Beucke, J. C.
Bollettini, I.
Bose, A.
Brem, S.
Calvo, A.
Cheng, Y.
Cho, K. I. K.
Ciullo, V.
Dallaspezia, S.
Denys, D.
Feusner, J. D.
Fouche, J. -P.
Gimenez, M.
Gruner, P.
Hibar, D. P.
Hoexter, M. Q.
Hu, H.
Huyser, C.
Ikari, K.
Kathmann, N.
Kaufmann, C.
Koch, K.
Lazaro, L.
Lochner, C.
Marques, P.
Marsh, R.
Martinez-Zalacain, I.
Mataix-Cols, D.
Menchon, J. M.
Minuzzi, L.
Morgado, P.
Moreira, P.
Nakamae, T.
Nakao, T.
Narayanaswamy, J. C.
Nurmi, E. L.
O'Neill, J.
Piacentini, J.
Piras, F.
Janardhan Reddy, Y. C.
Sato, J. R.
Blair Simpson, H.
Soreni, N.
Soriano-Mas, C.
Spalletta, G.
Stevens, M. C.
Szeszko, P. R.
Tolin, D. F.
Venkatasubramanian, G.
Walitza, S.
Wang, Z.
Van Wingen, G. A.
Xu, J.
Xu, X.
Zhao, Q.
Thompson, P. M.
Stein, D. J.
Van Den Heuvel, O. A.
Kwon, J. S.
Source :
Dipòsit Digital de Documents de la UAB, Universitat Autònoma de Barcelona
Publication Year :
2020

Abstract

In the largest brain structural covariance study of OCD to date, Yun et al. show a less segregated organization of structural covariance networks and a reorganization of brain hubs, including cingulate and orbitofrontal regions, in OCD. The findings point to altered trajectories of brain development and maturation. 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 T-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.

Details

Database :
OpenAIRE
Journal :
Dipòsit Digital de Documents de la UAB, Universitat Autònoma de Barcelona
Accession number :
edsair.dedup.wf.001..4a4fc745b100bb1304207ae864777906