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| Pàgina inicial > Articles > Articles publicats > Regional, circuit and network heterogeneity of brain abnormalities in psychiatric disorders |
(Monash University) (Rutgers University. Department of Psychiatry) (Radboud University Medical Center. Department of Human Genetics) (Radboud University Medical Center. Department of Human Genetics) (University of Oslo) (University of Oslo) (The University of Melbourne. Department of Biomedical Engineering) (University of Melbourne. Department of Psychiatry) (Universitat de Barcelona. Departament de Psicologia Social i Psicologia Quantitativa) (Universitat Autònoma de Barcelona) (Monash University) (QIMR Berghofer Medical Research Institute (Austràlia)) (Monash University) (King's College London. Department of Neuroimaging) (Monash University)
| Data: | 2023 |
| Resum: | 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. |
| Ajuts: | Generalitat de Catalunya SLT006/17/00249 Ministerio de Economía y Competitividad PI16/00889 Instituto de Salud Carlos III PI19/01171 Agència de Gestió d'Ajuts Universitaris i de Recerca 2021SGR01017 Agència de Gestió d'Ajuts Universitaris i de Recerca 2021SGR00832 Instituto de Salud Carlos III PI18/00036 Instituto de Salud Carlos III PI21/01756 European Research Council 10100118 |
| Drets: | Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.  |
| Llengua: | Anglès |
| Document: | Article ; recerca ; Versió publicada |
| Matèria: | Neuroscience ; Psychology ; Psychiatric disorders |
| Publicat a: | Nature Neuroscience, Vol. 26 (august 2023) , p. 1613-1629, ISSN 1546-1726 |
