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. 2019 Apr 11;30(1):1–19. doi: 10.1093/cercor/bhz066

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© The Author(s) 2019. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Schematic of approach. (a) A total of N = 360 regions of interest in a multimodal cortical parcellation (Glasser et al. 2016). From each region, we estimated the mean BOLD timeseries, and then we calculated the functional connectivity between any two regions using the Pearson correlation coefficient. For each subject, we collated all functional connectivity estimates into a single N × N adjacency matrix. The left hemisphere depicts the parcellation, while the right hemisphere depicts regions represented as network nodes and colored by their association to putative cognitive systems (Yeo et al. 2011). (b) The average functional connectivity matrix across subjects, ordered by putative cognitive systems. VIS: visual; SM: somatomotor; DA: dorsal attention; VA: ventral attention; LIM: limbic; FP: frontoparietal.