Classification of inter-subject fMRI data based on graph kernels

• Published in: 2014 International Workshop on Pattern Recognition in Neuroimaging pp. 1 - 4
• Main Authors: Vega-Pons, Sandro, Avesani, Paolo, Andric, Michael, Hasson, Uri
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2014
• Subjects: Accuracy; brain decoding; brain parcellation; Clustering algorithms; connectivity graphs; Decoding; Encoding; graph kernels; inter-subject classification; Kernel; Labeling; Time series analysis

The analysis of human brain connectivity networks has become an increasingly prevalent task in neuroimaging. A few recent studies have shown the possibility of decoding brain states based on brain graph classification. Graph kernels have emerged as a powerful tool for graph comparison that allows th...