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. 2023 Dec 22;7(4):1483–1496. doi: 10.1162/netn_a_00336

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© 2023 Massachusetts Institute of Technology

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Figure 3. — Conceptual depiction of brain network extraction and analysis. (A) Time series data is averaged within a 5-mm sphere surrounding each of 264 regions of interest (ROIs) as defined in the Power et al. (2011) atlas. This atlas is divided into 14 subnetworks as defined by task-based functional connectivity. (B) Pairwise correlation is calculated between each of the 264 ROIs, resulting in a 264 × 264 correlation matrix. (C) Edge weights in the network are assigned as the Pearson’s R value between each node. (D) Network efficiency is calculated as the inverse of the mean of all pairwise shortest paths.