Select and Cluster: A Method for Finding Functional Networks of Clustered Voxels in fMRI

Figure 6

Comparison of ROIs clusters found by S&C method (a) and ICA method (b) for one sample subject in task MTLOC. (a) To generate the presented connectivity network map from our method’s output we postprocessed the set of clusters in output by the SVC performing a pairwise correlation analysis on their associated mean time series. Then we extracted from the correlation matrix the largest set of all mutually significantly correlated ROIs including area MT in the considered subject. The resulting set of mutually connected ROIs was then visualized on the subject structural volume. To help visualization and comparison with ICA maps, all ROIs in the network are reported in same colour. (b) The first two stimulus related independent components, with Pearson Correlation coefficient with HRF of and , are reported in blue and red colour, respectively. The independent components were z-transformed and a threshold of was applied.

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