Article

Cluster-permutation statistical analysis for high-dimensional brain-wide functional connectivity mapping

2019-11-21

Abstract excerpt

Brain functional connectivity (FC) analyses based on magnetoencephalographic (MEG) signals have yet to exploit the intrinsic high-dimensional information. Typically, these analyses are constrained to regions of interest to avoid the curse of dimensionality, which leads to conservative hypothesis testing. We removed such constraint by extending cluster-permutation statistics for high-dimensional MEG-FC analyses. We...

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Literature Corpus work: 9d6706d4-6338-5bd3-8f4f-56bdc95ebff2
DOI: 10.1101/849554

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