A systematic review of quantitative EEG findings in Fibromyalgia, Chronic Fatigue Syndrome and Long COVID.

COVID-19 Central sensitisation Electroencephalography Post Acute Covid Syndrome (PACS) Post-Covid Condition (PCC) Post-Covid Syndrome (PCS)

Journal

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
ISSN: 1872-8952
Titre abrégé: Clin Neurophysiol
Pays: Netherlands
ID NLM: 100883319

Informations de publication

Date de publication:
06 May 2024
Historique:
received: 04 12 2023
revised: 23 04 2024
accepted: 24 04 2024
medline: 22 5 2024
pubmed: 22 5 2024
entrez: 21 5 2024
Statut: aheadofprint

Résumé

Fibromyalgia Syndrome (FMS), Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and Long COVID (LC) are similar multisymptom clinical syndromes but with difference in dominant symptoms in each individual. There is existing and emerging literature on possible functional alterations of the central nervous system in these conditions. This review aims to synthesise and appraise the literature on resting-state quantitative EEG (qEEG) in FMS, ME/CFS and LC, drawing on previous research on FMS and ME/CFS to help understand neuropathophysiology of the new condition LC. A systematic search of MEDLINE, Embase, CINHAL, PsycINFO and Web of Science databases for articles published between December 1994 and September 2023 was performed. Out of the initial 2510 studies identified, 17 articles were retrieved that met all the predetermined selection criteria, particularly of assessing qEEG changes in one of the three conditions compared to healthy controls. All studies scored moderate to high quality on the Newcastle-Ottawa scale. There was a general trend for decreased low-frequency EEG band activity (delta, theta, and alpha) and increased high-frequency EEG beta activity in FMS, differing to that found in ME/CFS. The limited LC studies included in this review focused mainly on cognitive impairments and showed mixed findings not consistent with patterns observed in FMS and ME/CFS. Our findings suggest different patterns of qEEG brainwave activity in FMS and ME/CFS. Further research is required to explore whether there are phenotypes within LC that have EEG signatures similar to FMS or ME/CFS. This could inform identification of reliable diagnostic markers and possible targets for neuromodulation therapies tailored to each clinical syndrome.

Identifiants

pubmed: 38772083
pii: S1388-2457(24)00144-5
doi: 10.1016/j.clinph.2024.04.019
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

209-222

Informations de copyright

Copyright © 2024 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Auteurs

Bárbara Silva-Passadouro (B)

Leeds Institute of Rheumatology and Musculoskeletal Medicine, School of Medicine, University of Leeds, Leeds, UK. Electronic address: umbsp@leeds.ac.uk.

Arnas Tamasauskas (A)

Institute of Life Course and Medical Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.

Omar Khoja (O)

Leeds Institute of Rheumatology and Musculoskeletal Medicine, School of Medicine, University of Leeds, Leeds, UK.

Alexander J Casson (AJ)

Department of Electrical and Electronic Engineering, University of Manchester, Manchester, UK.

Ioannis Delis (I)

School of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, Leeds, UK.

Christopher Brown (C)

Department of Psychology, Institute of Population Health, University of Liverpool, Liverpool, UK.

Manoj Sivan (M)

Leeds Institute of Rheumatology and Musculoskeletal Medicine, School of Medicine, University of Leeds, Leeds, UK; National Demonstration Centre in Rehabilitation Medicine, Leeds Teaching Hospitals NHS Trust, Leeds, UK.

Classifications MeSH