Ahmed T. Makhlouf, William Drew, Jacob L. Stubbs, Joseph J. Taylor, Donato Liloia, Jordan Grafman, David Silbersweig, Michael D. Fox, Shan H. Siddiqi
{"title":"Heterogeneous patterns of brain atrophy in schizophrenia localize to a common brain network","authors":"Ahmed T. Makhlouf, William Drew, Jacob L. Stubbs, Joseph J. Taylor, Donato Liloia, Jordan Grafman, David Silbersweig, Michael D. Fox, Shan H. Siddiqi","doi":"10.1038/s44220-024-00348-5","DOIUrl":null,"url":null,"abstract":"Understanding the neuroanatomy of schizophrenia remains elusive due to heterogeneous findings across neuroimaging studies. Here we investigated whether patterns of brain atrophy associated with schizophrenia would localize to a common brain network using a coordinate network mapping meta-analysis approach. Utilizing the human connectome as a wiring diagram, we identified a connectivity pattern, a schizophrenia network, uniting heterogeneous results from 90 published studies of atrophy in schizophrenia (total n > 8,000). This network was specific to schizophrenia, differentiating it from atrophy in individuals at high risk for psychosis (n = 3,038), normal aging (n = 4,195), neurodegenerative disorders (n = 3,707) and other psychiatric conditions (n = 3,432). The network was also stable with disease progression and across different clusters of schizophrenia symptoms. Patterns of brain atrophy in schizophrenia were negatively correlated with lesions linked to psychosis-related thought processes in an independent cohort (n = 181). Our results propose a unique, stable, and unified schizophrenia network, addressing a significant portion of the heterogeneity observed in previous atrophy studies. Utilizing heterogeneous results from the published studies on brain atrophy in schizophrenia, the authors identify a common brain network for schizophrenia that is stable with disease progression and across different clusters of schizophrenia symptoms.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 1","pages":"19-30"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature mental health","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44220-024-00348-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Understanding the neuroanatomy of schizophrenia remains elusive due to heterogeneous findings across neuroimaging studies. Here we investigated whether patterns of brain atrophy associated with schizophrenia would localize to a common brain network using a coordinate network mapping meta-analysis approach. Utilizing the human connectome as a wiring diagram, we identified a connectivity pattern, a schizophrenia network, uniting heterogeneous results from 90 published studies of atrophy in schizophrenia (total n > 8,000). This network was specific to schizophrenia, differentiating it from atrophy in individuals at high risk for psychosis (n = 3,038), normal aging (n = 4,195), neurodegenerative disorders (n = 3,707) and other psychiatric conditions (n = 3,432). The network was also stable with disease progression and across different clusters of schizophrenia symptoms. Patterns of brain atrophy in schizophrenia were negatively correlated with lesions linked to psychosis-related thought processes in an independent cohort (n = 181). Our results propose a unique, stable, and unified schizophrenia network, addressing a significant portion of the heterogeneity observed in previous atrophy studies. Utilizing heterogeneous results from the published studies on brain atrophy in schizophrenia, the authors identify a common brain network for schizophrenia that is stable with disease progression and across different clusters of schizophrenia symptoms.