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. 2018 Oct 11;9:828. doi: 10.3389/fneur.2018.00828

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Copyright © 2018 Tahedl, Levine, Greenlee, Weissert and Schwarzbach.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Methods for calculating correlation-based functional connectivity (FC). Starting with (A) a 4D-T2*-weighted dataset, when performing (B) a seed-to-voxel analysis, (C) the extracted timecourse (TC) from the seed region (depicted by the red dot) is correlated with the TCs from each of the other voxels, resulting in (D) a heat map, to which one can then apply a statistical threshold in order to reveal regions whose TCs are most similar to that of the seed region. Alternatively, (E) in a seed-to-seed-analysis, one parcels the brain into predefined atlas regions, extracts (F) the averaged TCs of those regions, and then computes the pairwise correlations between all regions' TCs, which can be visualized as (G) a FC matrix. One can also apply a statistical threshold to such a connectivity matrix.