한빛사논문
- 조회900
Youngheun Jo1, Farnaz Zamani Esfahlani1, Joshua Faskowitz1,2, Evgeny J. Chumin1,3, Olaf Sporns1,2,3,4, Richard F. Betzel1,2,3,4,5,*
1Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
2Program in Neuroscience, Indiana University, Bloomington, IN 47405, USA
3Network Science Institute, Indiana University, Bloomington, IN 47405, USA
4Cognitive Science Program, Indiana University, Bloomington, IN 47405, USA
5Lead contact
*Corresponding author
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.
Keywords : connectomics, network neuroscience, functional connectivity, edge-centric, fMRI
논문정보
- Research article
- 2021년 11월 (BRIC 등록일 2021-11-26)
- 국외 연구진
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