Publications
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Comparing functional connectivity via thresholding correlations and singular value decomposition
Source: Philosophical Transactions of the Royal Society of London. Series B, Biolo 2005 May;360(1457):913-920.
Author: Worsley KJ, Chen JI, Lerch J, Evans AC.
PubMed ID: 16087436
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.
Source: Philosophical Transactions of the Royal Society of London. Series B, Biolo 2005 May;360(1457):913-920.
Author: Worsley KJ, Chen JI, Lerch J, Evans AC.
PubMed ID: 16087436
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.