Your browser doesn't support javascript.
loading
The R1-weighted connectome: complementing brain networks with a myelin-sensitive measure.
Boshkovski, Tommy; Kocarev, Ljupco; Cohen-Adad, Julien; Misic, Bratislav; Lehéricy, Stéphane; Stikov, Nikola; Mancini, Matteo.
Afiliação
  • Boshkovski T; NeuroPoly Lab, Polytechnique Montreal, Montreal, QC, Canada.
  • Kocarev L; Macedonian Academy of Sciences and Arts, Skopje, Macedonia.
  • Cohen-Adad J; NeuroPoly Lab, Polytechnique Montreal, Montreal, QC, Canada.
  • Misic B; Montreal Neurological Institute, Montreal, QC, Canada.
  • Lehéricy S; Paris Brain Institute (ICM), Centre for NeuroImaging Research (CENIR), Inserm U 1127, CNRS UMR 7225, Sorbonne Université, F-75013, Paris, France.
  • Stikov N; NeuroPoly Lab, Polytechnique Montreal, Montreal, QC, Canada.
  • Mancini M; NeuroPoly Lab, Polytechnique Montreal, Montreal, QC, Canada.
Netw Neurosci ; 5(2): 358-372, 2021.
Article em En | MEDLINE | ID: mdl-34189369
ABSTRACT
Myelin 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.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Netw Neurosci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Netw Neurosci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Canadá