Comparing models of information transfer in the structural brain network and their relationship to functional connectivity: diffusion versus shortest path routing
| dc.contributor.author | Neudorf, Josh | |
| dc.contributor.author | Kress, Shaylyn | |
| dc.contributor.author | Borowsky, Ron | |
| dc.date.accessioned | 2025-02-26T11:22:42Z | |
| dc.date.available | 2025-02-26T11:22:42Z | |
| dc.date.issued | 2023-02-01 | |
| dc.description | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | |
| dc.description.abstract | The relationship between structural and functional connectivity in the human brain is a core question in network neuroscience, and a topic of paramount importance to our ability to meaningfully describe and predict functional outcomes. Graph theory has been used to produce measures based on the structural connectivity network that are related to functional connectivity. These measures are commonly based on either the shortest path routing model or the diffusion model, which carry distinct assumptions about how information is transferred through the network. Unlike shortest path routing, which assumes the most efficient path is always known, the diffusion model makes no such assumption, and lets information diffuse in parallel based on the number of connections to other regions. Past research has also developed hybrid measures that use concepts from both models, which have better predicted functional connectivity from structural connectivity than the shortest path length alone. We examined the extent to which each of these models can account for the structure–function relationship of interest using graph theory measures that are exclusively based on each model. This analysis was performed on multiple parcellations of the Human Connectome Project using multiple approaches, which all converged on the same finding. We found that the diffusion model accounts for much more variance in functional connectivity than the shortest path routing model, suggesting that the diffusion model is better suited to describing the structure–function relationship in the human brain at the macroscale. | |
| dc.description.sponsorship | Natural Sciences and Engineering Research Council of Canada through Alexander Graham Bell Canada Graduate Scholarships to Josh Neudorf and Shaylyn Kress, and Discovery Grant 18968-2013-25 to the senior author Ron Borowsky. | |
| dc.description.version | Peer Reviewed | |
| dc.identifier.citation | Neudorf, J., Kress, S. & Borowsky, R. Comparing models of information transfer in the structural brain network and their relationship to functional connectivity: diffusion versus shortest path routing. Brain Struct Funct 228, 651–662 (2023). https://doi.org/10.1007/s00429-023-02613-2 | |
| dc.identifier.doi | 10.1007/s00429-023-02613-2 | |
| dc.identifier.uri | https://hdl.handle.net/10388/16635 | |
| dc.language.iso | en | |
| dc.publisher | Springer Nature | |
| dc.rights | Attribution 2.5 Canada | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/2.5/ca/ | |
| dc.subject | Structure–function relationship | |
| dc.subject | DTI | |
| dc.subject | rsfMRI | |
| dc.subject | Graph theory | |
| dc.subject | Difusion model | |
| dc.subject | Shortest path routing mode | |
| dc.title | Comparing models of information transfer in the structural brain network and their relationship to functional connectivity: diffusion versus shortest path routing | |
| dc.type | Article |