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Exploring connectivity with large-scale Granger causality on resting-state functional MRI
2017
Journal of Neuroscience Methods
Large-scale Granger causality (lsGC) is a recently developed, resting-state functional MRI (fMRI) connectivity analysis approach that estimates multivariate voxel-resolution connectivity. Unlike most commonly used multivariate approaches, which establish coarse-resolution connectivity by aggregating voxel time-series avoiding an underdetermined problem, lsGC estimates voxel-resolution, fine-grained connectivity by incorporating an embedded dimension reduction. We investigate application of lsGC
doi:10.1016/j.jneumeth.2017.06.007
pmid:28629720
pmcid:PMC5555849
fatcat:bue6x7zof5hxvizxt3xd5hefoa