Social cognition in Multiple Sclerosis is associated to changes in brain connectivity: A resting-state fMRI study.


Journal

Multiple sclerosis and related disorders
ISSN: 2211-0356
Titre abrégé: Mult Scler Relat Disord
Pays: Netherlands
ID NLM: 101580247

Informations de publication

Date de publication:
Oct 2020
Historique:
received: 09 04 2020
revised: 21 06 2020
accepted: 22 06 2020
pubmed: 14 7 2020
medline: 15 5 2021
entrez: 14 7 2020
Statut: ppublish

Résumé

Multiple Sclerosis produces changes in the functional connectivity of the brain. Resting-State fMRI is a useful tool for the study of functional changes in the human brain, and its metrics can be related to clinical findings involved in clinical decline. Social cognition has focused increasing interest because patients are exposed to experiencing social disorganization during the progression of the disease. fMRI has proved to be a useful tool for studying brain connectivity and its relation with social cognition both in resting-state and during socio-cognitive tasks. to identify functional changes during rest in Relapsing-Remitting Multiple Sclerosis patients and look for a correlation with social cognition. 45 patients with Relapsing-Remitting Multiple Sclerosis and 47 control subjects were recruited to perform a neuropsychological evaluation of the social cognition performance and to acquire resting-state fMRI. Patients exhibited lower performance in social cognition tasks, mostly related to face emotion recognition. Decreased functional connectivity in patients is seen concerning the right anterior insula, middle frontal, and occipital regions while increased connectivity is mostly related to the occipital and visual areas. The connectivity of the fusiform cortex and the amygdala is related to the performance in emotion recognition and Theory of Mind tasks respectively. Social cognition compromise was found in this sample. Functional connectivity changes during rest were detected and correlated with social cognition changes in patients.

Sections du résumé

BACKGROUND BACKGROUND
Multiple Sclerosis produces changes in the functional connectivity of the brain. Resting-State fMRI is a useful tool for the study of functional changes in the human brain, and its metrics can be related to clinical findings involved in clinical decline. Social cognition has focused increasing interest because patients are exposed to experiencing social disorganization during the progression of the disease. fMRI has proved to be a useful tool for studying brain connectivity and its relation with social cognition both in resting-state and during socio-cognitive tasks.
OBJECTIVE OBJECTIVE
to identify functional changes during rest in Relapsing-Remitting Multiple Sclerosis patients and look for a correlation with social cognition.
METHODS METHODS
45 patients with Relapsing-Remitting Multiple Sclerosis and 47 control subjects were recruited to perform a neuropsychological evaluation of the social cognition performance and to acquire resting-state fMRI.
RESULTS RESULTS
Patients exhibited lower performance in social cognition tasks, mostly related to face emotion recognition. Decreased functional connectivity in patients is seen concerning the right anterior insula, middle frontal, and occipital regions while increased connectivity is mostly related to the occipital and visual areas. The connectivity of the fusiform cortex and the amygdala is related to the performance in emotion recognition and Theory of Mind tasks respectively.
CONCLUSION CONCLUSIONS
Social cognition compromise was found in this sample. Functional connectivity changes during rest were detected and correlated with social cognition changes in patients.

Identifiants

pubmed: 32659735
pii: S2211-0348(20)30409-0
doi: 10.1016/j.msard.2020.102333
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102333

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None

Auteurs

Tomas P Labbe (TP)

Escuela de Medicina, Facultad de Ciencias Médicas, Universidad de Santiago, Chile; Interdisciplinary Center of Neurosciences, Pontificia Universidad Católica de Chile, Chile.

Mariana Zurita (M)

Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Chile.

Cristian Montalba (C)

Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Chile.

Ethel L Ciampi (EL)

Neurology Department, School of Medicine, Pontificia Universidad Católica de Chile, Chile; Neurology, Hospital Sotero del Rio, Santiago, Chile.

Juan P Cruz (JP)

Radiology Department, School of Medicine, Pontificia Universidad Católica de Chile, Chile.

Macarena Vasquez (M)

Neurology Department, School of Medicine, Pontificia Universidad Católica de Chile, Chile.

Sergio Uribe (S)

Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Chile; Radiology Department, School of Medicine, Pontificia Universidad Católica de Chile, Chile; Millenium Nucleus for cardiovascular magnetic resonance, Chile.

Nicolás Crossley (N)

Psychiatry Department, School of Medicine, Pontificia Universidad Católica de Chile, Chile.

Claudia Cárcamo (C)

Neurology Department, School of Medicine, Pontificia Universidad Católica de Chile, Chile. Electronic address: ccarcamo@med.puc.cl.

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Classifications MeSH