Format

Send to

Choose Destination
Philos Trans R Soc Lond B Biol Sci. 2005 May 29;360(1457):913-20.

Comparing functional connectivity via thresholding correlations and singular value decomposition.

Author information

1
Department of Mathematics and Statistics, McGill University, Montreal, Canada. keith.worsley@mcgill.ca

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.

PMID:
16087436
PMCID:
PMC1854921
DOI:
10.1098/rstb.2005.1637
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Atypon Icon for PubMed Central
Loading ...
Support Center