EEG Source Imaging based on Spatial and Temporal Graph StructuresMS4

To better retrieve task related discriminative source patches, we propose a novel EEG source imaging model based on spatial and temporal graph structures. In particular, graph fractional-order total variation (gFOTV) is used to enhance spatial smoothness, and the label information of brain state is enclosed in a temporal graph regularization term to guarantee intra-class consistency of estimated sources. Numerical experiments have shown that our method localizes source extents more effectively than the benchmark methods.

This presentation is part of Minisymposium “MS4 - Graph Techniques for Image Processing (2 parts)
organized by: Yifei Lou ( University of Texas at Dallas ) , Jing Qin ( Montana State University ) .

Authors:
Jing Qin ( Montana State University )
Keywords: