Article

iSparse kmeans: a two-step clustering approach for big dynamic functional network connectivity data

2022-03-16

Abstract excerpt

<h4>Background</h4> Dynamic functional network connectivity (dFNC) estimated from resting-state functional magnetic imaging (rs-fMRI) studies the temporally varying of functional integration between brain networks. In a typical dFNC pipeline, a clustering stage to summarize the connectivity patterns that are transiently but reliably realized over the course of a scanning session. However, identifying the right nu...

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Literature Corpus work: c3b0b493-20c5-5e32-b4cd-eb195489debb
DOI: 10.1101/2022.03.13.484193

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