2026-04-17T10:25:48Zhttps://recercat.cat/oai/request

oai:recercat.cat:2072/4706862025-07-29T22:07:03Zcom_2072_98col_2072_378192

00925njm 22002777a 4500 dc Segal, Ashlea author Parkes, Linden author Aquino, Kevin author Kia, Seyed Mostafa author Wolfers, Thomas author Franke, Barbara author Hoogman, Martine author Beckmann, Christian F. author Westlye, Lars T. author Andreassen, Ole A. author Zalesky, Andrew author Harrison, Ben J. author Davey, Christopher author Soriano-Mas, Carles author Cardoner, N. (Narcís) author Tiego, Jeggan author Yücel, Murat author Braganza, Leah author Suo, Chao author Berk, Michael author Cotton, Sue author Bellgrove, Mark A. author Marquand, Andre F. author Fornito, Alex author 2023 The 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. A new brain mapping approach tailored to individual people reveals that volume changes in psychiatric illness occur in highly variable locations across individuals, but that these differences often aggregate within common brain systems. Neuroscience Psychology Psychiatric disorders Regional, circuit and network heterogeneity of brain abnormalities in psychiatric disorders