A novel model-free data analysis technique based on clustering in a mutual information space: application to resting-state fMRI

A novel model-free data analysis technique based on clustering in a mutual information space: application to resting-state fMRI

Non-parametric data-driven analysis techniques can be used to study datasets with few assumptions about the data and underlying experiment. Variations of Independent Component Analysis (ICA) have been the methods mostly used on fMRI data, e.g. in finding resting-state networks thought to reflect the...

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Bibliographic Details
Main Authors: Simon Benjaminsson, Peter Fransson, Anders Lansner
Format: Article
Language:English
Published: Frontiers Media S.A. 2010-08-01
Series:Frontiers in Systems Neuroscience
Subjects:
fMRI
mutual information
data analysis
clustering
resting-state
parallel algorithm
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnsys.2010.00034/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnsys.2010.00034/full

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