Literature DB >> 16087436

Comparing functional connectivity via thresholding correlations and singular value decomposition.

Keith J Worsley1, Jen-I Chen, Jason Lerch, Alan C Evans.   

Abstract

We compare two common methods for detecting functional connectivity: thresholding correlations and singular value decomposition (SVD). We find that thresholding correlations are better at detecting focal regions of correlated voxels, whereas SVD is better at detecting extensive regions of correlated voxels. We apply these results to resting state networks in an fMRI dataset to look for connectivity in cortical thickness.

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Year:  2005        PMID： 16087436      PMCID： PMC1854921          DOI： 10.1098/rstb.2005.1637

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN： 0962-8436            Impact factor:   6.237


  12 in total

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  48 in total

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