Connectome-based schizophrenia prediction using structural connectivity - Deep Graph Neural Network(sc-DGNN)
P. Udayakumar,
R. Subhashini
Abstract:Background: Connectome is understanding the complex organization of the human brain’s structural and functional connectivity is essential for gaining insights into cognitive processes and disorders. Objective: To improve the prediction accuracy of brain disorder issues, the current study investigates dysconnected subnetworks and graph structures associated with schizophrenia. Method: By using the proposed structural connectivity-deep graph neural network (sc-DGNN) model and compared with machine learning (ML) … Show more
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