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dc.contributor.authorQi, Shile
dc.contributor.authorSui, Jing
dc.contributor.authorPearlson, Godfrey
dc.contributor.authorBustillo, Juan
dc.contributor.authorPerrone-Bizzozero, Nora I.
dc.contributor.authorKochunov, Peter
dc.contributor.authorTurner, Jessica A.
dc.contributor.authorFu, Zening
dc.contributor.authorShao, Wei
dc.contributor.authorJiang, Rongtao
dc.contributor.authorYang, Xiao
dc.contributor.authorLiu, Jingyu
dc.contributor.authorDu, Yuhui
dc.contributor.authorChen, Jiayu
dc.contributor.authorZhang, Daoqiang
dc.contributor.authorCalhoun, Vince D.
dc.description.abstractSchizophrenia is a highly heritable psychiatric disorder characterized by widespread functional and structural brain abnormalities. However, previous association studies between MRI and polygenic risk were mostly ROI-based single modality analyses, rather than identifying brain-based multimodal predictive biomarkers. Based on schizophrenia polygenic risk scores (PRS) from healthy white people within the UK Biobank dataset (N = 22,459), we discovered a robust PRS-associated brain pattern with smaller gray matter volume and decreased functional activation in frontotemporal cortex, which distinguished schizophrenia from controls with >83% accuracy, and predicted cognition and symptoms across 4 independent schizophrenia cohorts. Further multi-disease comparisons demonstrated that these identified frontotemporal alterations were most severe in schizophrenia and schizo-affective patients, milder in bipolar disorder, and indistinguishable from controls in autism, depression and attention-deficit hyperactivity disorder. These findings indicate the potential of the identified PRS-associated multimodal frontotemporal network to serve as a trans-diagnostic gene intermediated brain biomarker specific to schizophrenia.en_US
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.ispartofNature Communicationsen_US
dc.titleDerivation and utility of schizophrenia polygenic risk associated multimodal MRI frontotemporal networken_US
dc.source.journaltitleNature Communications

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