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Fig. 1 | Applied Network Science

Fig. 1

From: Comparison method for community detection on brain networks from neuroimaging data

Fig. 1

The processing steps of the community detection analysis. For each subject, resting-state fMRI data were acquired (a) and parcellated into ROIs with a brain atlas (AAL, HOA or Dosenbach atlas) (b) to get time-series data of brain activity (c). A correlation matrix was obtained from the time-series data (d) and a network graph was represented by a connectivity matrix thresholded at a density level (e). Then, a group-based community structure was detected with a community detection algorithm (VTS, IS or GA approach) (f). To compare the group-based structure with individual structures, Normalized Mutual Information (NMI) was computed for every pair of the group-based and individual communities (g). The individual communities were detected with Louvian algorithm. The obtained NMI values were subjected to the permutation test to determine which algorithm or atlas provided the best representative of the group

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