Abstract
The human brain is composed of functionally specialized systems that support cognition. Recently, we proposed an edge-centric model for detecting overlapping communities. It remains unclear how these communities and brain systems are related. Here, we address this question using data from the Midnight Scan Club and show that all brain systems are linked via at least two edge communities. We then examine the diversity of edge communities within each system, finding that heteromodal systems are more diverse than sensory systems. Next, we cluster the entire cortex to reveal it according to the regions' edge-community profiles. We find that regions in heteromodal systems are more likely to form their own clusters. Finally, we show that edge communities are personalized. Our work reveals the pervasive overlap of edge communities across the cortex and their relationship with brain systems. Our work provides pathways for future research using edge-centric brain networks.
Highlights
The human brain is a complex network made up of functionally and structurally interacting neural elements (Bullmore and Sporns, 2009; Bassett and Sporns, 2017; Park and Friston, 2013)
We calculated edge FC (eFC) by first Z-scoring each regional time series and computing the element-wise product between all pairs of time series, yielding M = 79,800 unique pairs corresponding to every possible edge
Using these so-called edge time series (Zamani Esfahlani et al, 2020b, 2021a; Betzel et al, 2021; Greenwell et al, 2021; Faskowitz et al, 2020), we calculated the 79,800 3 79,800 eFC matrix of all pairwise similarities. This procedure was repeated separately for each of the 10 subjects in the Midnight Scan Club data (MSC) and for each of their 10 scans. We find it useful to create composite eFC matrices, both at the group level, by averaging over subjects and scans, and at the subject level, by averaging over scans
Summary
The human brain is composed of functionally specialized systems that support cognition. We proposed an edge-centric model for detecting overlapping communities. It remains unclear how these communities and brain systems are related. We address this question using data from the Midnight Scan Club and show that all brain systems are linked via at least two edge communities. We examine the diversity of edge communities within each system, finding that heteromodal systems are more diverse than sensory systems. We cluster the entire cortex to reveal it according to the regions’ edge-community profiles. Our work reveals the pervasive overlap of edge communities across the cortex and their relationship with brain systems. Our work provides pathways for future research using edge-centric brain networks
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