The analgesic effect of electroencephalographic neurofeedback for people with chronic pain: A systematic review and meta-analysis.

Hesam-Shariati, N; Chang, W-J; Wewege, MA; McAuley, JH; Booth, A; Trost, Z; Lin, C-T; Newton-John, T; Gustin, SM

The analgesic effect of electroencephalographic neurofeedback for people with chronic pain: A systematic review and meta-analysis.

Hesam-Shariati, N Chang, W-J Wewege, MA McAuley, JH Booth, A Trost, Z Lin, C-T Newton-John, T

Gustin, SM

Permalink

Publisher:: Wiley
Publication Type:: Journal Article
Citation:: Eur J Neurol, 2021
Issue Date:: 2021-11-23

Closed Access

	Filename	Description	Size
	Euro J of Neurology - 2021 - Hesam%u2010Shariati - The analgesic effect of electroencephalographic neurofeedback for people with.pdf	Published Version	865.45 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Hesam-Shariati, N
dc.contributor.author	Chang, W-J
dc.contributor.author	Wewege, MA
dc.contributor.author	McAuley, JH
dc.contributor.author	Booth, A
dc.contributor.author	Trost, Z
dc.contributor.author	Lin, C-T
dc.contributor.author	Newton-John, T https://orcid.org/0000-0003-4219-4985
dc.contributor.author	Gustin, SM
dc.date.accessioned	2022-01-06T01:02:48Z
dc.date.available	2021-11-13
dc.date.available	2022-01-06T01:02:48Z
dc.date.issued	2021-11-23
dc.identifier.citation	Eur J Neurol, 2021
dc.identifier.issn	1351-5101
dc.identifier.issn	1468-1331
dc.identifier.uri	http://hdl.handle.net/10453/152717
dc.description.abstract	BACKGROUND: Electroencephalographic (EEG) neurofeedback has been utilized to regulate abnormal brain activity associated with chronic pain. METHODS: In this systematic review, we synthesized the evidence from randomized controlled trials (RCTs) to evaluate the effect of EEG neurofeedback on chronic pain using random effects meta-analyses. Additionally, we performed a narrative review to explore the results of non-randomized studies. The quality of included studies was assessed using Cochrane risk of bias tools, and the GRADE system was used to rate the certainty of evidence. RESULTS: Ten RCTs and 13 non-randomized studies were included. The primary meta-analysis on nine eligible RCTs indicated that although there is low confidence, EEG neurofeedback may have a clinically meaningful effect on pain intensity in short-term. Removing the studies with high risk of bias from the primary meta-analysis resulted in moderate confidence that there remained a clinically meaningful effect on pain intensity. We could not draw any conclusion from the findings of non-randomized studies, as they were mostly non-comparative trials or explorative case series. However, the extracted data indicated that the neurofeedback protocols in both RCTs and non-randomized studies mainly involved the conventional EEG neurofeedback approach, which targeted reinforcing either alpha or sensorimotor rhythms and suppressing theta and/or beta bands on one brain region at a time. A posthoc analysis of RCTs utilizing the conventional approach resulted in a clinically meaningful effect estimate for pain intensity. CONCLUSION: Although there is promising evidence on the analgesic effect of EEG neurofeedback, further studies with larger sample sizes and higher quality of evidence are required.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Wiley
dc.relation	Maridulu Budyari Gumal - The Sydney Partnership for Health, Education, Research and Enterprise (SPHERE)
dc.relation.ispartof	Eur J Neurol
dc.relation.isbasedon	10.1111/ene.15189
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1103 Clinical Sciences, 1109 Neurosciences
dc.subject.classification	Neurology & Neurosurgery
dc.title	The analgesic effect of electroencephalographic neurofeedback for people with chronic pain: A systematic review and meta-analysis.
dc.type	Journal Article
utslib.location.activity	England
utslib.for	1103 Clinical Sciences
utslib.for	1109 Neurosciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Graduate School of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Graduate School of Health/GSH.Clinical Psychology
pubs.organisational-group	/University of Technology Sydney/Centre for Health Technologies (CHT)
utslib.copyright.status	closed_access	*
dc.date.updated	2022-01-06T01:02:47Z
pubs.publication-status	Published online

Abstract:

BACKGROUND: Electroencephalographic (EEG) neurofeedback has been utilized to regulate abnormal brain activity associated with chronic pain. METHODS: In this systematic review, we synthesized the evidence from randomized controlled trials (RCTs) to evaluate the effect of EEG neurofeedback on chronic pain using random effects meta-analyses. Additionally, we performed a narrative review to explore the results of non-randomized studies. The quality of included studies was assessed using Cochrane risk of bias tools, and the GRADE system was used to rate the certainty of evidence. RESULTS: Ten RCTs and 13 non-randomized studies were included. The primary meta-analysis on nine eligible RCTs indicated that although there is low confidence, EEG neurofeedback may have a clinically meaningful effect on pain intensity in short-term. Removing the studies with high risk of bias from the primary meta-analysis resulted in moderate confidence that there remained a clinically meaningful effect on pain intensity. We could not draw any conclusion from the findings of non-randomized studies, as they were mostly non-comparative trials or explorative case series. However, the extracted data indicated that the neurofeedback protocols in both RCTs and non-randomized studies mainly involved the conventional EEG neurofeedback approach, which targeted reinforcing either alpha or sensorimotor rhythms and suppressing theta and/or beta bands on one brain region at a time. A posthoc analysis of RCTs utilizing the conventional approach resulted in a clinically meaningful effect estimate for pain intensity. CONCLUSION: Although there is promising evidence on the analgesic effect of EEG neurofeedback, further studies with larger sample sizes and higher quality of evidence are required.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/152717