Connectome sorting by consensus clustering increases separability in group neuroimaging studies
A fundamental challenge in preprocessing pipelines for neuroimaging datasets is to increase the signal-to-noise ratio for subsequent analyses. In the same line, we suggest here that the application of the consensus clustering approach to brain connectivity matrices can be a valid additional step for...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
The MIT Press
2019-02-01
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Series: | Network Neuroscience |
Subjects: | |
Online Access: | https://www.mitpressjournals.org/doi/pdf/10.1162/netn_a_00074 |