Frontocentral delta-beta amplitude coupling in endometriosis-related chronic pelvic pain.
Chronic pelvic pain
Electroencephalography (EEG)
Endometriosis
Eyes closed resting
Frequency principal components analysis (fPCA)
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:
05 2023
05 2023
Historique:
received:
03
11
2022
revised:
08
02
2023
accepted:
13
02
2023
medline:
17
4
2023
pubmed:
26
3
2023
entrez:
25
3
2023
Statut:
ppublish
Résumé
Endometriosis is associated with neuroplastic changes in cognitive control and pain processing networks. This was the first study to assess eyes-closed resting electroencephalogram (EEG) oscillatory amplitudes in women with endometriosis compared to healthy controls, and explore the relationship with chronic pelvic pain. Women with endometriosis-related chronic pelvic pain and individually age-matched pain-free controls (N = 20 per group) documented pelvic pain for 28 days before having continuous EEG recorded during a 2 min eyes closed resting state. Natural frequency components were extracted for each group using frequency principal components analysis. Corresponding components were assessed for group differences and correlated with pain scores. Relative to controls, the endometriosis group had greater component amplitudes in delta (0.5 Hz) and beta (∼28 Hz), and reduced alpha (∼10 Hz). Delta and beta amplitudes were positively associated with pain severity, but only beta maintained this association after delta-beta amplitude coupling was controlled. Enhanced resting delta and beta amplitudes were seen in women with endometriosis experiencing chronic pelvic pain. This delta-beta coupling varied with pelvic pain severity, perhaps reflecting altered cholinergic tone and/or stress reactivity. Endometriosis-related changes in central pain processing demonstrate a distinct neuronal oscillatory signature detectable at rest.
Identifiants
pubmed: 36965467
pii: S1388-2457(23)00220-1
doi: 10.1016/j.clinph.2023.02.173
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
146-156Informations de copyright
Copyright © 2023 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.