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Abstract #4750

Multi-branch deep learning model integrated with multi-modal MRI for differential diagnosis of autism spectrum disorders

Xuan Yu1 and Meiyun Wang1,2
1Henan Provincial People’s Hospital & the People’s Hospital of Zhengzhou University, Zhengzhou, China, 2Laboratory of Brain Science and Brain-Like Intelligence Technology, Institute for Integrated Medical Science and Engineering, Henan Academy of Sciences, Zhengzhou, China

Synopsis

Keywords: Brain Connectivity, Brain ConnectivityThis study proposes a multi-branch deep learning model fused with multi-modal MRI for the differential diagnosis of ASD. We solve the problem that traditional ASD classification algorithms based on static functional network connections ignore the time-varying characteristics of brain functional connections. Study the spatiotemporal characteristics of ASD brain imaging, and mine the information of functional connectivity between brain regions over time.

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