Hierarchical Functional Networks in Resting State fMRI
Then, the large networks of the brain are iteratively subdivided to create spatially reproducible subnetworks until the overall within-network homogeneity does not increase substantially.
Here, you may download the experimental results generated using the proposed clustering method. The results include a meaningful pattern for spatially hierarchical structure of the brain.
Shams et al., "Automated Iterative Reclustering Framework for Determining Hierarchical Functional Networks in Resting State fMRI". Human Brain Mapping, Accepted.
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iterative_clust: 31 subjects resting-state results release
NII_Results.zip posted by Babak Afshin-Pour on Dec 3, 2014
iterative_clust: 31 subjects resting-state results release
Figure_05.tif posted by Babak Afshin-Pour on Dec 3, 2014
iterative_clust: 31 subjects resting-state results release
Figure_10a.TIF posted by Babak Afshin-Pour on Dec 3, 2014
iterative_clust: 31 subjects resting-state results release
Figure_10b.TIF posted by Babak Afshin-Pour on Dec 3, 2014
iterative_clust: 31 subjects resting-state results release
Figure_10c.TIF posted by Babak Afshin-Pour on Dec 3, 2014
iterative_clust: 31 subjects resting-state results release
Figure_10d.TIF posted by Babak Afshin-Pour on Dec 3, 2014