Exploring functional connectivity in fMRI via clustering

Exploring functional connectivity in fMRI via clustering

In this paper we investigate the use of data driven clustering methods for functional connectivity analysis in fMRI. In particular, we consider the k-means and spectral clustering algorithms as alternatives to the commonly used seed-based analysis. To enable clustering of the entire brain volume, we...

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Bibliographic Details
Main Authors: Venkataraman, Archana (Contributor), Van Dijk, Koene R. A. (Author), Buckner, Randy L. (Author), Golland, Polina (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2011-04-01T21:16:44Z.
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