Using EEG Alpha States to Understand Learning During Alpha Neurofeedback Training for Chronic Pain.

EEG biofeedback alpha rhythm alpha states chronic pain neurofeedback

Journal

Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481

Informations de publication

Date de publication:
2020
Historique:
received: 23 10 2020
accepted: 22 12 2020
entrez: 18 3 2021
pubmed: 19 3 2021
medline: 19 3 2021
Statut: epublish

Résumé

Alpha-neurofeedback (α-NFB) is a novel therapy which trains individuals to volitionally increase their alpha power to improve pain. Learning during NFB is commonly measured using static parameters such as mean alpha power. Considering the biphasic nature of alpha rhythm (high and low alpha), dynamic parameters describing the time spent by individuals in high alpha state and the pattern of transitioning between states might be more useful. Here, we quantify the changes during α-NFB for chronic pain in terms of dynamic changes in alpha states. Four chronic pain and four healthy participants received five NFB sessions designed to increase frontal alpha power. Changes in pain resilience were measured using visual analogue scale (VAS) during repeated cold-pressor tests (CPT). Changes in alpha state static and dynamic parameters such as fractional occupancy (time in high alpha state), dwell time (length of high alpha state) and transition probability (probability of moving from low to high alpha state) were analyzed using Friedman's Test and correlated with changes in pain scores using Pearson's correlation. There was no significant change in mean frontal alpha power during NFB. There was a trend of an increase in fractional occupancy, mean dwell duration and transition probability of high alpha state over the five sessions in chronic pain patients only. Significant correlations were observed between change in pain scores and fractional occupancy ( There is a differential effect between patients and healthy participants in terms of correlation between change in pain scores and alpha state parameters. Parameters providing a more precise description of the alpha power dynamics than the mean may help understand the therapeutic effect of neurofeedback on chronic pain.

Identifiants

pubmed: 33732101
doi: 10.3389/fnins.2020.620666
pmc: PMC7958977
doi:

Types de publication

Journal Article

Langues

eng

Pagination

620666

Subventions

Organisme : Medical Research Council
ID : MC_PC_16053
Pays : United Kingdom
Organisme : The Dunhill Medical Trust
ID : R521/1116
Pays : United Kingdom

Informations de copyright

Copyright © 2021 Patel, Henshaw, Sutherland, Taylor, Casson, Lopez-Diaz, Brown, Jones, Sivan and Trujillo-Barreto.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

Biol Cybern. 1978 Aug 30;30(2):109-13
pubmed: 698295
Psychophysiology. 1974 Nov;11(6):674-81
pubmed: 4438551
Dialogues Clin Neurosci. 2012 Dec;14(4):345-67
pubmed: 23393413
J Neuroeng Rehabil. 2019 Oct 30;16(1):128
pubmed: 31666096
Curr Opin Neurobiol. 2015 Apr;31:164-72
pubmed: 25460073
Exp Brain Res. 2001 Nov;141(2):195-203
pubmed: 11713631
Front Hum Neurosci. 2013 Oct 24;7:680
pubmed: 24187537
Clin Neurophysiol. 2013 Oct;124(10):2016-24
pubmed: 23706958
Front Neurosci. 2018 Aug 28;12:603
pubmed: 30210284
Sci Rep. 2017 Jun 19;7(1):3772
pubmed: 28630468
Front Neurosci. 2019 Jul 25;13:762
pubmed: 31404253
Proc Natl Acad Sci U S A. 2010 Oct 19;107(42):18179-84
pubmed: 20921381
Appl Psychophysiol Biofeedback. 2014 Jun;39(2):109-35
pubmed: 24806535
Pain Med. 2021 Feb 23;22(2):329-337
pubmed: 31697371
J Clin Rheumatol. 2005 Apr;11(2 Suppl):S11-5
pubmed: 16357723
Spinal Cord. 2008 Feb;46(2):118-23
pubmed: 17502876
Front Hum Neurosci. 2016 Mar 14;10:111
pubmed: 27014041
Front Hum Neurosci. 2014 Dec 18;8:1008
pubmed: 25566028
Appl Psychophysiol Biofeedback. 2019 Dec;44(4):259-269
pubmed: 31123938
Spinal Cord. 2013 Jan;51(1):55-8
pubmed: 22801188
Biofeedback Self Regul. 1979 Jun;4(2):127-31
pubmed: 476188
Comput Intell Neurosci. 2011;2011:156869
pubmed: 21253357
Hum Brain Mapp. 2019 May;40(7):2212-2228
pubmed: 30664285
Eur J Pain. 2020 Sep;24(8):1440-1457
pubmed: 32502283
BMC Neurol. 2015 Oct 13;15:200
pubmed: 26462651
Eur Spine J. 2019 Nov;28(11):2487-2501
pubmed: 31254096
Biomed Res Int. 2019 Apr 1;2019:7851047
pubmed: 31058192
Neurosci Biobehav Rev. 2015 Feb;49:105-13
pubmed: 25526823
Neuroimage Clin. 2020;25:102132
pubmed: 31884224
Neuroimage. 2017 Feb 1;146:533-543
pubmed: 27742598
Neuroscience. 2018 May 15;378:155-164
pubmed: 28069531
PLoS One. 2014 Dec 05;9(12):e114163
pubmed: 25479614
Neurosci Lett. 2019 May 29;702:24-33
pubmed: 30503923
Appl Psychophysiol Biofeedback. 2009 Dec;34(4):309-28
pubmed: 19760142
Neuroimage. 2017 Mar 1;148:141-147
pubmed: 28069543
J Neurosci. 2009 Jul 1;29(26):8512-24
pubmed: 19571142
Neuroimage. 2018 Oct 15;180(Pt B):577-593
pubmed: 29196270
Biofeedback Self Regul. 1976 Mar;1(1):63-75
pubmed: 990344
J Neurosci. 2011 Apr 27;31(17):6353-61
pubmed: 21525275
J Neurosci Methods. 2004 Mar 15;134(1):9-21
pubmed: 15102499

Auteurs

Kajal Patel (K)

School of Medicine, University of Manchester, Manchester, United Kingdom.
Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom.

James Henshaw (J)

Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom.

Heather Sutherland (H)

Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom.

Jason R Taylor (JR)

Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom.

Alexander J Casson (AJ)

Department of Electrical and Electronic Engineering, University of Manchester, Manchester, United Kingdom.

Karen Lopez-Diaz (K)

Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom.

Christopher A Brown (CA)

Department of Psychological Sciences, University of Liverpool, Liverpool, United Kingdom.

Anthony K P Jones (AKP)

Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom.

Manoj Sivan (M)

Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom.
Academic Department of Rehabilitation Medicine, University of Leeds, Leeds, United Kingdom.

Nelson J Trujillo-Barreto (NJ)

Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom.

Classifications MeSH