Default Mode Network Structural Integrity and Cerebellar Connectivity Predict Information Processing Speed Deficit in Multiple Sclerosis.
cerebellum
connectomics
default mode network (DMN)
diffusion weighted imaging (DWI)
magnetic resonance imaging (MRI)
multiple sclerosis (MS)
symbol digit modalities test (SDMT)
tractography
Journal
Frontiers in cellular neuroscience
ISSN: 1662-5102
Titre abrégé: Front Cell Neurosci
Pays: Switzerland
ID NLM: 101477935
Informations de publication
Date de publication:
2019
2019
Historique:
received:
02
07
2018
accepted:
17
01
2019
entrez:
12
3
2019
pubmed:
12
3
2019
medline:
12
3
2019
Statut:
epublish
Résumé
Cognitive impairment affects about 50% of multiple sclerosis (MS) patients, but the mechanisms underlying this remain unclear. The default mode network (DMN) has been linked with cognition, but in MS its role is still poorly understood. Moreover, within an extended DMN network including the cerebellum (CBL-DMN), the contribution of cortico-cerebellar connectivity to MS cognitive performance remains unexplored. The present study investigated associations of DMN and CBL-DMN structural connectivity with cognitive processing speed in MS, in both cognitively impaired (CIMS) and cognitively preserved (CPMS) MS patients. 68 MS patients and 22 healthy controls (HCs) completed a symbol digit modalities test (SDMT) and had 3T brain magnetic resonance imaging (MRI) scans that included a diffusion weighted imaging protocol. DMN and CBL-DMN tracts were reconstructed with probabilistic tractography. These networks (DMN and CBL-DMN) and the cortico-cerebellar tracts alone were modeled using a graph theoretical approach with fractional anisotropy (FA) as the weighting factor. Brain parenchymal fraction (BPF) was also calculated. In CIMS SDMT scores strongly correlated with the FA-weighted global efficiency (GE) of the network [GE(CBL-DMN): ρ = 0.87,
Identifiants
pubmed: 30853896
doi: 10.3389/fncel.2019.00021
pmc: PMC6396736
doi:
Types de publication
Journal Article
Langues
eng
Pagination
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