Ahmed T. Makhlouf, William Drew, Jacob L. Stubbs, Joseph J. Taylor, Donato Liloia, Jordan Grafman, David Silbersweig, Michael D. Fox, Shan H. Siddiqi
{"title":"精神分裂症脑萎缩的异质模式定位于一个共同的脑网络","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":"{\"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}","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}
Heterogeneous patterns of brain atrophy in schizophrenia localize to a common brain network
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.