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Resolving Anatomical and Functional Structure in Human Brain Organization: Identifying Mesoscale Organization in Weighted Network Representations

Figure 7

Multiresolution mesoscale structure in functional networks.

Functional brain networks were extracted from resting state fMRI data acquired from 29 people with schizophrenia and 29 healthy controls [15] (see Methods Section). (A) Weighted modularity for healthy controls (left) and people with schizophrenia (right). Box plots indicate range and 25% (75%) quartiles over the individuals in each group. The structural resolution parameter is . (B) MRFs for the weighted modularity as a function of the resolution parameter . (C) MRFs for binary modularity as a function of connection weight. (D) MRFs for bipartivity as a function of connection weight. In panels (C) and (D), diagnostic values were estimated using a window size of . In all panels, -values for group differences in summary statistics (panel (A)) and MRFs (panels (B–D)) were calculated using a non-parametric permutation test [15]; resolutions displaying the strongest group differences are highlighted by gray boxes. In panels (B–D), error bars show the standard deviation of the mean for healthy controls (blue) and people with schizophrenia (green).

doi: https://doi.org/10.1371/journal.pcbi.1003712.g007