Structure-function coupling as a correlate and potential biomarker of cognitive impairment in multiple sclerosis.
Cognition
Diffusion tensor imaging
Functional connectivity
Magnetoencephalography
Multiple sclerosis
Structural connectivity
Journal
Network neuroscience (Cambridge, Mass.)
ISSN: 2472-1751
Titre abrégé: Netw Neurosci
Pays: United States
ID NLM: 101719149
Informations de publication
Date de publication:
Jun 2022
Jun 2022
Historique:
received:
01
10
2021
accepted:
21
12
2021
entrez:
23
6
2022
pubmed:
24
6
2022
medline:
24
6
2022
Statut:
epublish
Résumé
Multiple sclerosis (MS) features extensive connectivity changes, but how structural and functional connectivity relate, and whether this relation could be a useful biomarker for cognitive impairment in MS is unclear. This study included 79 MS patients and 40 healthy controls (HCs). Patients were classified as cognitively impaired (CI) or cognitively preserved (CP). Structural connectivity was determined using diffusion MRI and functional connectivity using resting-state magnetoencephalography (MEG) data (theta, alpha1, and alpha2 bands). Structure-function coupling was assessed by correlating modalities, and further explored in frequency bands that significantly correlated with whole-brain structural connectivity. Functional correlates of short- and long-range structural connections (based on tract length) were then specifically assessed. Receiving operating curve analyses were performed on coupling values to identify biomarker potential. Only the theta band showed significant correlations between whole-brain structural and functional connectivity (rho = -0.26,
Identifiants
pubmed: 35733434
doi: 10.1162/netn_a_00226
pii: netn_a_00226
pmc: PMC9208024
doi:
Types de publication
Journal Article
Langues
eng
Pagination
339-356Informations de copyright
© 2022 Massachusetts Institute of Technology.
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