Comparing functional connectivity via thresholding correlations and singular value decomposition
Open Access
- 29 May 2005
- journal article
- research article
- Published by The Royal Society in Philosophical Transactions Of The Royal Society B-Biological Sciences
- Vol. 360 (1457) , 913-920
- https://doi.org/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.Keywords
This publication has 14 references indexed in Scilit:
- Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during restHuman Brain Mapping, 2004
- Partial least squares analysis of neuroimaging data: applications and advancesNeuroImage, 2004
- Connectivity analysis with structural equation modelling: an example of the effects of voxel selectionNeuroImage, 2003
- The elusive concept of brain connectivityNeuroImage, 2003
- Hierarchical clustering to measure connectivity in fMRI resting-state dataMagnetic Resonance Imaging, 2002
- An Investigation of Functional and Anatomical Connectivity Using Magnetic Resonance ImagingNeuroImage, 2002
- Detection of functional connectivity using temporal correlations in MR imagesHuman Brain Mapping, 2002
- Normal aging and sexual dimorphism of Japanese brainNeuroImage, 2001
- Comparison of two exploratory data analysis methods for fMRI: fuzzy clustering vs. principal component analysisMagnetic Resonance Imaging, 2000
- The geometry of correlation fields with an application to functional connectivity of the brainThe Annals of Applied Probability, 1999