Evidence map›Paper›PMID 38907380›Full record

ArticleJMIR biomedical engineering2021

Virtual Reality-Guided Meditation for Chronic Pain in Patients With Cancer: Exploratory Analysis of Electroencephalograph Activity.

Henry Fu, Bernie Garrett, Gordon Tao, Elliott Cordingley, Zahra Ofoghi, Tarnia Taverner, Crystal Sun, Teresa Cheung

Registry-linked trialAbstract read
In one paragraph

Article in JMIR biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00102401 (Comparing the Effects of an Internet-Based to an Established Dyspnea Self-Management Program on Dyspnea, Exercise Behavior, and Pulmonary Exacerbations in Patients With COPD), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT00102401 nacompletednot on this map

Comparing the Effects of an Internet-Based to an Established Dyspnea Self-Management Program on Dyspnea, Exercise Behavior, and Pulmonary Exacerbations in Patients With COPD

TypeinterventionalSponsorRobert Wood Johnson FoundationRan2003 to 2007Enrolled50ConditionsChronic Obstructive Pulmonary DiseaseArmsInternet-based Dyspnea Self-Management Program, Face-to-face Dyspnea Self-Management Program
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Global landscape and hotspot analysis of meditation research in cancer: a bibliometric study.Journal of cancer survivorship : research and practice · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Henry FuSchool of Engineering Science, Simon Fraser University, Burnaby, BC, Canada.ORCID https://orcid.org/0000-0003-0373-5806
Bernie GarrettSchool of Nursing, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0003-0411-6767
Gordon TaoSchool of Rehabilitation Sciences, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0001-5406-4956
Elliott CordingleySchool of Nursing, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0001-5068-6491
Zahra OfoghiSchool of Interactive Arts and Technology, Simon Fraser University, Surrey, BC, Canada.ORCID https://orcid.org/0000-0003-1821-2768
Tarnia TavernerSchool of Nursing, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0002-6557-7068
Crystal SunSchool of Nursing, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0002-4056-4762
Teresa CheungSchool of Engineering Science, Simon Fraser University, Burnaby, BC, Canada.ORCID https://orcid.org/0000-0002-4169-1587

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMindfulness-based stress reduction has demonstrated some efficacy for chronic pain management. More recently, virtual reality (VR)-guided meditation has been used to assist mindfulness-based stress reduction. Although studies have also found electroencephalograph (EEG) changes in the brain during mindfulness meditation practices, such changes have not been demonstrated during VR-guided meditation.

objectiveThis exploratory study is designed to explore the potential for recording and analyzing EEG during VR experiences in terms of the power of EEG waveforms, topographic mapping, and coherence. We examine how these measures changed during a VR-guided meditation experience in participants with cancer-related chronic pain.

methodsA total of 10 adult patients with chronic cancer pain underwent a VR-guided meditation experience while EEG signals were recorded during the session using a BioSemi ActiveTwo system (64 channels, standard 10-20 configuration). The EEG recording session consisted of an 8-minute resting condition (pre), a 30-minute sequence of 3 VR-guided meditation conditions (med), and a final rest condition (post). Power spectral density (PSD) was compared between each condition using a cluster-based permutation test and across conditions using multivariate analysis of variance. A topographic analysis, including coherence exploration, was performed. In addition, an exploratory repeated measures correlation was used to examine possible associations between pain scores and EEG signal power.

resultsThe predominant pattern was for increased β and γ bandwidth power in the meditation condition (P<.025), compared with both the baseline and postexperience conditions. Increased power in the δ bandwidth was evident, although not statistically significant. The pre versus post comparison also showed changes in the θ and α bands (P=.02) located around the frontal, central, and parietal cortices. Across conditions, multivariate analysis of variance tests identified 4 clusters with significant (P<.05) PSD differences in the δ, θ, β, and γ bands located around the frontal, central, and parietal cortices. Topographically, 5 peak channels were identified: AF7, FP2, FC1, CP5, and P5, and verified the changes in power in the different brain regions. Coherence changes were observed primarily between the frontal, parietal, and occipital regions in the θ, α, and γ bands (P<.0025). No significant associations were observed between pain scores and EEG PSD.

conclusionsThis study demonstrates the feasibility of EEG recording in exploring neurophysiological changes in brain activity during VR-guided meditation and its effect on pain reduction. These findings suggest that distinct altered neurophysiological brain signals are detectable during VR-guided meditation. However, these changes were not necessarily associated with pain. These exploratory findings may guide further studies to investigate the highlighted regions and EEG bands with respect to VR-guided meditation.

trial registrationClinicalTrials.gov NCT00102401; http://clinicaltrials.gov/ct2/show/NCT00102401.

Indexed as

EEGelectroencephalographguided meditationneurophysiologyvirtual reality

Identifiers

PMID38907380
PMCPMC11135186

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.