Cognitive performance and magnetic resonance imaging in people with multiple sclerosis: A systematic review and meta-analysis.

Cognition Cognitive performance Magnetic resonance imaging Multiple sclerosis

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:
08 Jun 2024
Historique:
received: 18 12 2023
revised: 03 06 2024
accepted: 07 06 2024
medline: 18 6 2024
pubmed: 18 6 2024
entrez: 17 6 2024
Statut: aheadofprint

Résumé

Several studies have shown the different relationships between cognitive functions and structural magnetic resonance imaging (MRI) measurements in people with multiple sclerosis (pwMS). However, there is an ongoing debate regarding the magnitude of correlation between MRI measurements and specific cognitive function tests. This systematic review and meta-analysis aimed to synthesize the most consistent correlations between MRI measurements and cognitive function in pwMS. PubMed/MEDLINE, Embase, Scopus, and Web of Science databases were systematically searched up to February 2023, to find relevant data. The search utilized syntax and medical subject headings (MeSH) relevant to cognitive performance tests and MRI measurements in pwMS. The R software version 4.3.3 with random effect models was used to estimate the pooled effect sizes. 13,559 studies were reviewed, of which 136 were included. The meta-analyses showed that thalamic volume had the most significant correlations with Symbol Digit Modalities Test (SDMT) r = 0.47 (95 % CI: 0.39 to 0.56, p < 0.001, I We conclude that thalamic volume exhibits highest relationships with information processing speed (IPS), visuospatial learning-memory, verbal learning-memory, and executive function in pwMS. A comprehensive understanding of the intricacies of the mechanisms underpinning this association requires additional research.

Sections du résumé

BACKGROUND BACKGROUND
Several studies have shown the different relationships between cognitive functions and structural magnetic resonance imaging (MRI) measurements in people with multiple sclerosis (pwMS). However, there is an ongoing debate regarding the magnitude of correlation between MRI measurements and specific cognitive function tests. This systematic review and meta-analysis aimed to synthesize the most consistent correlations between MRI measurements and cognitive function in pwMS.
METHODS METHODS
PubMed/MEDLINE, Embase, Scopus, and Web of Science databases were systematically searched up to February 2023, to find relevant data. The search utilized syntax and medical subject headings (MeSH) relevant to cognitive performance tests and MRI measurements in pwMS. The R software version 4.3.3 with random effect models was used to estimate the pooled effect sizes.
RESULTS RESULTS
13,559 studies were reviewed, of which 136 were included. The meta-analyses showed that thalamic volume had the most significant correlations with Symbol Digit Modalities Test (SDMT) r = 0.47 (95 % CI: 0.39 to 0.56, p < 0.001, I
CONCLUSION CONCLUSIONS
We conclude that thalamic volume exhibits highest relationships with information processing speed (IPS), visuospatial learning-memory, verbal learning-memory, and executive function in pwMS. A comprehensive understanding of the intricacies of the mechanisms underpinning this association requires additional research.

Identifiants

pubmed: 38885600
pii: S2211-0348(24)00282-7
doi: 10.1016/j.msard.2024.105705
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

105705

Informations de copyright

Copyright © 2024 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest Omid Mirmosayyeb, Fardin Nabizadeh, Elham Moases Ghaffary, Mohammad Yazdan Panah, and Dejan Jakimovski have nothing to disclose. Robert Zivadinov has received personal compensation from Bristol Myers Squibb, EMD Serono, Sanofi, Protembis, Janssen, 415 Capital, and Novartis for speaking and consultant fees. He received financial support for research activities from Sanofi, Novartis, Bristol Myers Squibb, Octave, Mapi Pharma, CorEvitas, Protembis and V-WAVE Medical. Bianca Weinstock-Guttman received honoraria as a speaker and/or as a consultant for Biogen Idec, Teva Pharmaceuticals, EMD Serono, Genzyme, Sanofi, Genentech, Novartis, Celgene/BMS, Janssen and Horizon Dr Weinstock-Guttman received research funds from Biogen Idec, EMD Serono, Genzyme, Genentech, Sanofi, Novartis. Ralph HB. Benedict has received consultation or speaking fees from Bristol Myer Squibb, Biogen, Merck, EMD Serono, Roche, Verasci, Immune Therapeutics, Novartis, and Sanofi- Genzyme.

Auteurs

Omid Mirmosayyeb (O)

Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United States.

Fardin Nabizadeh (F)

School of Medicine, Iran University of Medical Sciences, Tehran, Iran.

Elham Moases Ghaffary (E)

Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

Mohammad Yazdan Panah (M)

Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

Robert Zivadinov (R)

Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United States; Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, United States.

Bianca Weinstock-Guttman (B)

Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United States.

Ralph H B Benedict (RHB)

Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United States.

Dejan Jakimovski (D)

Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United States; Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United States. Electronic address: djakimovski@bnac.net.

Classifications MeSH