Cargando…

Neurostructural and Neurophysiological Correlates of Multiple Sclerosis Physical Fatigue: Systematic Review and Meta-Analysis of Cross-Sectional Studies

Fatigue is one of the most debilitating symptoms for people with multiple sclerosis (PwMS). By consolidating a diverse and conflicting evidence-base, this systematic review and meta-analysis aimed to gain new insights into the neurobiology of MS fatigue. MEDLINE, ProQuest, CINAHL, Web of Science dat...

Descripción completa

Detalles Bibliográficos
Autores principales: Ellison, Paula M., Goodall, Stuart, Kennedy, Niamh, Dawes, Helen, Clark, Allan, Pomeroy, Valerie, Duddy, Martin, Baker, Mark R., Saxton, John M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381450/
https://www.ncbi.nlm.nih.gov/pubmed/33961198
http://dx.doi.org/10.1007/s11065-021-09508-1
_version_ 1784769081439682560
author Ellison, Paula M.
Goodall, Stuart
Kennedy, Niamh
Dawes, Helen
Clark, Allan
Pomeroy, Valerie
Duddy, Martin
Baker, Mark R.
Saxton, John M.
author_facet Ellison, Paula M.
Goodall, Stuart
Kennedy, Niamh
Dawes, Helen
Clark, Allan
Pomeroy, Valerie
Duddy, Martin
Baker, Mark R.
Saxton, John M.
author_sort Ellison, Paula M.
collection PubMed
description Fatigue is one of the most debilitating symptoms for people with multiple sclerosis (PwMS). By consolidating a diverse and conflicting evidence-base, this systematic review and meta-analysis aimed to gain new insights into the neurobiology of MS fatigue. MEDLINE, ProQuest, CINAHL, Web of Science databases and grey literature were searched using Medical Subject Headings. Eligible studies compared neuroimaging and neurophysiological data between people experiencing high (MS-HF) versus low (MS-LF) levels of perceived MS fatigue, as defined by validated fatigue questionnaire cut-points. Data were available from 66 studies, with 46 used for meta-analyses. Neuroimaging studies revealed lower volumetric measures in MS-HF versus MS-LF for whole brain (­22.74 ml; 95% CI: -37.72 to -7.76 ml; p = 0.003), grey matter (­18.81 ml; 95% CI: ­29.60 to ­8.03 ml; p < 0.001), putamen (­0.40 ml; 95% CI: ­0.69 to ­0.10 ml; p = 0.008) and acumbens (­0.09 ml; 95% CI: ­0.15 to ­0.03 ml; p = 0.003) and a higher volume of T1-weighted hypointense lesions (1.10 ml; 95% CI: 0.47 to 1.73 ml; p < 0.001). Neurophysiological data showed reduced lower-limb maximum voluntary force production (­19.23 N; 95% CI: ­35.93 to ­2.53 N; p = 0.02) and an attenuation of upper-limb (­5.77%; 95% CI:­8.61 to ­2.93%; p < 0.0001) and lower-limb (­2.16%; 95% CI:­4.24 to ­0.07%; p = 0.04) skeletal muscle voluntary activation, accompanied by more pronounced upper-limb fatigability (­5.61%; 95% CI: -9.57 to -1.65%; p = 0.006) in MS-HF versus MS-LF. Results suggest that MS fatigue is characterised by greater cortico-subcortical grey matter atrophy and neural lesions, accompanied by neurophysiological decrements, which include reduced strength and voluntary activation. Prospero registration Prospero registration number: CRD42016017934 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11065-021-09508-1.
format Online
Article
Text
id pubmed-9381450
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-93814502022-08-18 Neurostructural and Neurophysiological Correlates of Multiple Sclerosis Physical Fatigue: Systematic Review and Meta-Analysis of Cross-Sectional Studies Ellison, Paula M. Goodall, Stuart Kennedy, Niamh Dawes, Helen Clark, Allan Pomeroy, Valerie Duddy, Martin Baker, Mark R. Saxton, John M. Neuropsychol Rev Review Fatigue is one of the most debilitating symptoms for people with multiple sclerosis (PwMS). By consolidating a diverse and conflicting evidence-base, this systematic review and meta-analysis aimed to gain new insights into the neurobiology of MS fatigue. MEDLINE, ProQuest, CINAHL, Web of Science databases and grey literature were searched using Medical Subject Headings. Eligible studies compared neuroimaging and neurophysiological data between people experiencing high (MS-HF) versus low (MS-LF) levels of perceived MS fatigue, as defined by validated fatigue questionnaire cut-points. Data were available from 66 studies, with 46 used for meta-analyses. Neuroimaging studies revealed lower volumetric measures in MS-HF versus MS-LF for whole brain (­22.74 ml; 95% CI: -37.72 to -7.76 ml; p = 0.003), grey matter (­18.81 ml; 95% CI: ­29.60 to ­8.03 ml; p < 0.001), putamen (­0.40 ml; 95% CI: ­0.69 to ­0.10 ml; p = 0.008) and acumbens (­0.09 ml; 95% CI: ­0.15 to ­0.03 ml; p = 0.003) and a higher volume of T1-weighted hypointense lesions (1.10 ml; 95% CI: 0.47 to 1.73 ml; p < 0.001). Neurophysiological data showed reduced lower-limb maximum voluntary force production (­19.23 N; 95% CI: ­35.93 to ­2.53 N; p = 0.02) and an attenuation of upper-limb (­5.77%; 95% CI:­8.61 to ­2.93%; p < 0.0001) and lower-limb (­2.16%; 95% CI:­4.24 to ­0.07%; p = 0.04) skeletal muscle voluntary activation, accompanied by more pronounced upper-limb fatigability (­5.61%; 95% CI: -9.57 to -1.65%; p = 0.006) in MS-HF versus MS-LF. Results suggest that MS fatigue is characterised by greater cortico-subcortical grey matter atrophy and neural lesions, accompanied by neurophysiological decrements, which include reduced strength and voluntary activation. Prospero registration Prospero registration number: CRD42016017934 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11065-021-09508-1. Springer US 2021-05-07 2022 /pmc/articles/PMC9381450/ /pubmed/33961198 http://dx.doi.org/10.1007/s11065-021-09508-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
Ellison, Paula M.
Goodall, Stuart
Kennedy, Niamh
Dawes, Helen
Clark, Allan
Pomeroy, Valerie
Duddy, Martin
Baker, Mark R.
Saxton, John M.
Neurostructural and Neurophysiological Correlates of Multiple Sclerosis Physical Fatigue: Systematic Review and Meta-Analysis of Cross-Sectional Studies
title Neurostructural and Neurophysiological Correlates of Multiple Sclerosis Physical Fatigue: Systematic Review and Meta-Analysis of Cross-Sectional Studies
title_full Neurostructural and Neurophysiological Correlates of Multiple Sclerosis Physical Fatigue: Systematic Review and Meta-Analysis of Cross-Sectional Studies
title_fullStr Neurostructural and Neurophysiological Correlates of Multiple Sclerosis Physical Fatigue: Systematic Review and Meta-Analysis of Cross-Sectional Studies
title_full_unstemmed Neurostructural and Neurophysiological Correlates of Multiple Sclerosis Physical Fatigue: Systematic Review and Meta-Analysis of Cross-Sectional Studies
title_short Neurostructural and Neurophysiological Correlates of Multiple Sclerosis Physical Fatigue: Systematic Review and Meta-Analysis of Cross-Sectional Studies
title_sort neurostructural and neurophysiological correlates of multiple sclerosis physical fatigue: systematic review and meta-analysis of cross-sectional studies
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381450/
https://www.ncbi.nlm.nih.gov/pubmed/33961198
http://dx.doi.org/10.1007/s11065-021-09508-1
work_keys_str_mv AT ellisonpaulam neurostructuralandneurophysiologicalcorrelatesofmultiplesclerosisphysicalfatiguesystematicreviewandmetaanalysisofcrosssectionalstudies
AT goodallstuart neurostructuralandneurophysiologicalcorrelatesofmultiplesclerosisphysicalfatiguesystematicreviewandmetaanalysisofcrosssectionalstudies
AT kennedyniamh neurostructuralandneurophysiologicalcorrelatesofmultiplesclerosisphysicalfatiguesystematicreviewandmetaanalysisofcrosssectionalstudies
AT daweshelen neurostructuralandneurophysiologicalcorrelatesofmultiplesclerosisphysicalfatiguesystematicreviewandmetaanalysisofcrosssectionalstudies
AT clarkallan neurostructuralandneurophysiologicalcorrelatesofmultiplesclerosisphysicalfatiguesystematicreviewandmetaanalysisofcrosssectionalstudies
AT pomeroyvalerie neurostructuralandneurophysiologicalcorrelatesofmultiplesclerosisphysicalfatiguesystematicreviewandmetaanalysisofcrosssectionalstudies
AT duddymartin neurostructuralandneurophysiologicalcorrelatesofmultiplesclerosisphysicalfatiguesystematicreviewandmetaanalysisofcrosssectionalstudies
AT bakermarkr neurostructuralandneurophysiologicalcorrelatesofmultiplesclerosisphysicalfatiguesystematicreviewandmetaanalysisofcrosssectionalstudies
AT saxtonjohnm neurostructuralandneurophysiologicalcorrelatesofmultiplesclerosisphysicalfatiguesystematicreviewandmetaanalysisofcrosssectionalstudies