Spatial-Temporal DAG Convolutional Networks for End-to-End Joint Effective Connectivity Learning and Resting-State fMRI Classification

no code implementations • 16 Dec 2023 • Rui Yang, Wenrui Dai, Huajun She, Yiping P. Du, Dapeng Wu, Hongkai Xiong

To address these issues in an end-to-end manner, we model the brain network as a directed acyclic graph (DAG) to discover direct causal connections between brain regions and propose Spatial-Temporal DAG Convolutional Network (ST-DAGCN) to jointly infer effective connectivity and classify rs-fMRI time series by learning brain representations based on nonlinear structural equation model.

Time Series Time Series Classification