Applications of Random Eld Theory to Functional Connectivity Address of Corresponding Author
نویسنده
چکیده
Functional connectivity between two voxels or regions of voxels can be measured by the correlation between voxel measurements from either PET CBF or BOLD fMRI images in 3D. We propose to look at the entire 6D matrix of correlations between all voxels and search for 6D local maxima. The main result is a new theoretical formula, based on random eld theory, for the p-value of these local maxima, that distinguishes true correlations from background noise. This can be applied to cross correlations between two diierent sets of images, such as activations under two diierent tasks, as well as autocorrelations within the same set of images.
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