Multimodal neural correlates of childhood psychopathology

• DOI: 10.7554/elife.87992
• Publication Date: 2024-12-03T15:55:58Z
• Authors: Jessica Royer; Valeria Kebets; Camille Piguet; Jianzhong Chen; Leon Qi Rong Ooi; Matthias Kirschner; Vanessa Siffredi; Bratislav Misic; BT Thomas Yeo; Boris C Bernhardt
• Keywords: Endophenotype; Vulnerability

Complex structural and functional changes occurring in typical atypical development necessitate multidimensional approaches to better understand the risk of developing psychopathology. Here, we simultaneously examined brain network patterns relation dimensions psychopathology Adolescent Brain Cognitive Development dataset. Several components were identified, recapitulating hierarchy, with general ( p ) factor explaining most covariance multimodal imaging features, while internalizing, externalizing, neurodevelopmental each associated distinct morphological connectivity signatures. Connectivity signatures followed sensory-to-transmodal axis cortical organization, which is related emergence complex cognition for Results consistent two separate data subsamples robust variations analytical parameters. Although model parameters yielded statistically significant brain-behavior associations unseen data, generalizability was rather limited all three latent r change from within- out-of-sample statistics: LC1 within =0.36, out =0.03; LC2 =0.34, =0.05; LC3 =0.35, =0.07). Our findings help understanding biological mechanisms underpinning psychopathology, could provide brain-based vulnerability markers.