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The R1-weighted connectome: complementing brain networks with a myelin-sensitive measure

Authors :
Tommy Boshkovski
Ljupco Kocarev
Julien Cohen-Adad
Bratislav Mišić
Stéphane Lehéricy
Nikola Stikov
Matteo Mancini
Source :
Network Neuroscience, Vol 5, Iss 2, Pp 358-372 (2021)
Publication Year :
2021
Publisher :
The MIT Press, 2021.

Abstract

AbstractMyelin plays a crucial role in how well information travels between brain regions. Complementing the structural connectome, obtained with diffusion MRI tractography, with a myelin-sensitive measure could result in a more complete model of structural brain connectivity and give better insight into white-matter myeloarchitecture. In this work we weight the connectome by the longitudinal relaxation rate (R1), a measure sensitive to myelin, and then we assess its added value by comparing it with connectomes weighted by the number of streamlines (NOS). Our analysis reveals differences between the two connectomes both in the distribution of their weights and the modular organization. Additionally, the rank-based analysis shows that R1 can be used to separate transmodal regions (responsible for higher-order functions) from unimodal regions (responsible for low-order functions). Overall, the R1-weighted connectome provides a different perspective on structural connectivity taking into account white matter myeloarchitecture.

Details

Language :
English
ISSN :
24721751
Volume :
5
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Network Neuroscience
Publication Type :
Academic Journal
Accession number :
edsdoj.0381165c3c7a45e98f9f15078613d2b3
Document Type :
article
Full Text :
https://doi.org/10.1162/netn_a_00179