Comparing functional connectivity via thresholding correlations and singular value decomposition.
نویسندگان
چکیده
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.
منابع مشابه
Comparing functional connectivity via thresholding correlations and SVD
Abstract We compare two common methods for detecting functional connectivity: thresholding correlations and Singular Value Decomposition (SVD). We find that thresholding correlations is 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 data set, and to loo...
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عنوان ژورنال:
- Philosophical transactions of the Royal Society of London. Series B, Biological sciences
دوره 360 1457 شماره
صفحات -
تاریخ انتشار 2005