Smooth graph learning for functional connectivity estimation
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DOI: 10.1016/j.neuroimage.2021.118289
Abstract: Functional connectivity (FC) estimated from functional magnetic resonance imaging (fMRI) signals is important in understanding neural representation and information processing in cortical networks. However, due to a lack of "ground truth" FC pattern, the reliability… read more here.
Keywords: graph learning; graph; smooth graph; sgfc ... See more keywords