Journal article
Structural covariance network topology in individuals at clinical high risk for psychosis: the ENIGMA-CHR Study
S Liu, I Agartz, P Allen, GP Amminger, OA Andreassen, P Bachman, I Baeza, H Baldwin, CF Bartholomeusz, S Borgwardt, S Catalano, X Chen, KIK Cho, S Choi, T Colibazzi, RE Cooper, CM Corcoran, VL Cropley, L de Haan, C de la Fuente-Sandoval Show all
Molecular Psychiatry | Published : 2026
Abstract
Brain network architecture is anticipated to influence future grey matter loss in individuals at Clinical High Risk (CHR) for psychosis. However, existing studies on grey matter structural network properties in CHR are scarce and constrained by small sample sizes. Here, we examined network topology differences comparing a) CHR versus healthy controls (HC); b) CHR who transitioned to psychosis (CHR-T) versus those who did not (CHR-NT); and c) different subsyndromes. We included structural scans from 1842 CHR individuals and 1417 HC individuals from 31 sites within the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) consortium. At the global level, CHR individuals exhibited lowe..
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Grants
Awarded by Ministry of Science and ICT, South Korea