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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