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Abstract #1364

Diagnositic prediction for social anxiety disorder via multivariate pattern analysis of the regional homogeneity

Wenjing Zhang 1 , Xun Yang 1 , Su Lui 1 , Yajing Meng 2 , Li Yao 1 , Yuan Xiao 1 , Wei Zhang 2 , and Qiyong Gong 1

1 Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China, 2 Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, Sichuan, China

A multivariate pattern analysis was used to characterize local coherence of fMRI bold signals implicated in individuals with social anxiety disorder (SAD). By identifying the inter-group differences in whole brain ReHo pattern with high classification accuracy at the individual level, the present study suggests local connectivity and synchronization extracted from fMRI bold signal could be a potential biomarker to identify SAD patients. On this condition, future studies with the integration of ReHo with other different imaging modality measurements may give a better insight into the imaging biomarkers of the condition.

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