One of the fundamental challenges in modern neuroscience is understanding the interplay between the brain’s functional activity and its underlying structural pathways. To address this question, we propose a novel communication pattern called subnet communicability, which models diffusive communication between pairs of regions through a small, intermediary subnetwork of brain regions as opposed to spreading messages through the entire network. We demonstrate that subnet communicability strengthens coupling between the structural and functional connectomes better than previous models, including communicability. Over two large datasets, we show that the optimal subnetwork is consistent across the population. Subnet communicability provides new insights into structure-function coupling in the brain and offers a balance between redundancy in message passing and economy of brain wiring.
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Title
Subnet Communicability: Diffusive Communication Across the Brain Through a Backbone Subnetwork
Creators
S. Shailja (Corresponding Author) - Drexel University
Jonathan Parlett - Drexel University
Abhishek Jeyapratap - Drexel University
Ali Shokoufandeh - Drexel University
Birkan Tunc - Children's Hospital of Philadelphia
Yusuf Osmanlioglu - Drexel University
Publication Details
Computational Diffusion MRI
Conference
14th International Workshop, CDMRI 2023, 14th (Vancouver, British Columbia, Canada, 08 Oct 2023–08 Oct 2023)
Series
Lecture Notes in Computer Science; 14328
Publisher
Springer Nature Switzerland; Cham
Number of pages
14
Resource Type
Conference proceeding
Language
English
Academic Unit
Computer Science
Web of Science ID
WOS:001207006200010
Scopus ID
2-s2.0-85185722074
Other Identifier
991021852059404721
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