Abstract
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
Original language | English |
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Pages (from-to) | 506–519 |
Number of pages | 14 |
Journal | Neuropsychology Review |
Volume | 32 |
Issue number | 3 |
Early online date | 7 May 2021 |
DOIs | |
Publication status | Published - Sep 2022 |
Keywords
- Fatigue
- Multiple sclerosis
- Neuroimaging
- Neurophysiology
- Neurostructural