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...

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Bibliographic Details
Main Authors: Javier Rasero, Ibai Diez, Jesus M. Cortes, Daniele Marinazzo, Sebastiano Stramaglia
Format: Article
Language:English
Published: The MIT Press 2019-02-01
Series:Network Neuroscience
Subjects:
Online Access:https://www.mitpressjournals.org/doi/pdf/10.1162/netn_a_00074