Comparing functional connectivity via thresholding correlations and singular value decomposition

Philos Trans R Soc Lond B Biol Sci. 2005 May 29;360(1457):913-20. doi: 10.1098/rstb.2005.1637.

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.

Publication types

  • Comparative Study

MeSH terms

  • Brain / anatomy & histology*
  • Brain / physiology*
  • Brain Mapping / methods*
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Linear Models
  • Magnetic Resonance Imaging / methods*
  • Models, Neurological*