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Regional, circuit and network heterogeneity of brain abnormalities in psychiatric disorders

Version 2 2024-06-19, 21:08
Version 1 2023-10-06, 03:55
journal contribution
posted on 2024-06-19, 21:08 authored by A Segal, L Parkes, K Aquino, SM Kia, T Wolfers, B Franke, M Hoogman, CF Beckmann, LT Westlye, OA Andreassen, A Zalesky, BJ Harrison, CG Davey, C Soriano-Mas, N Cardoner, J Tiego, M Yücel, L Braganza, C Suo, Michael BerkMichael Berk, S Cotton, MA Bellgrove, AF Marquand, A Fornito
AbstractThe substantial individual heterogeneity that characterizes people with mental illness is often ignored by classical case–control research, which relies on group mean comparisons. Here we present a comprehensive, multiscale characterization of the heterogeneity of gray matter volume (GMV) differences in 1,294 cases diagnosed with one of six conditions (attention-deficit/hyperactivity disorder, autism spectrum disorder, bipolar disorder, depression, obsessive–compulsive disorder and schizophrenia) and 1,465 matched controls. Normative models indicated that person-specific deviations from population expectations for regional GMV were highly heterogeneous, affecting the same area in <7% of people with the same diagnosis. However, these deviations were embedded within common functional circuits and networks in up to 56% of cases. The salience–ventral attention system was implicated transdiagnostically, with other systems selectively involved in depression, bipolar disorder, schizophrenia and attention-deficit/hyperactivity disorder. Phenotypic differences between cases assigned the same diagnosis may thus arise from the heterogeneous localization of specific regional deviations, whereas phenotypic similarities may be attributable to the dysfunction of common functional circuits and networks.

History

Journal

Nature Neuroscience

Volume

26

Pagination

1613-1629

Location

London, Eng.

ISSN

1097-6256

eISSN

1546-1726

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Issue

9

Publisher

Nature Research