Evidence map›Paper›PMID 31666096›Full record

ArticleJournal of neuroengineering and rehabilitation2019

Home used, patient self-managed, brain-computer interface for the management of central neuropathic pain post spinal cord injury: usability study.

M K H Al-Taleb, M Purcell, M Fraser, N Petric-Gray, A Vuckovic

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  12. From lab to life: challenges and perspectives of fNIRS for haemodynamic-based neurofeedback in real-world environments.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
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  13. Article
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  15. Pathology of pain and its implications for therapeutic interventions.Signal transduction and targeted therapy · 2024
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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

5 authors.

M K H Al-TalebBiomedical Engineering Research Division, University of Glasgow, Glasgow, UK.
M PurcellQueen Elizabeth National Spinal Injuries Unit, Queen Elizabeth University Hospital, Glasgow, UK.
M FraserQueen Elizabeth National Spinal Injuries Unit, Queen Elizabeth University Hospital, Glasgow, UK.
N Petric-GrayBiomedical Engineering Research Division, University of Glasgow, Glasgow, UK.
A VuckovicBiomedical Engineering Research Division, University of Glasgow, Glasgow, UK. Aleksandra.vuckovic@glasgow.ac.uk.ORCID 0000-0002-1585-3247

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCentral Neuropathic Pain (CNP) is a frequent chronic condition in people with spinal cord injury (SCI). Previously, we showed that using laboratory brain-computer interface (BCI) technology for neurofeedback (NFB) training, it was possible to reduce CNP in people with SCI. In this study, we show results of patient self-managed treatment in their homes with a BCI-NFB using a consumer EEG device.

methodsUsers: People with chronic SCI (17 M, 3 F, 50.6 ± 14.1 years old), and CNP ≥4 on a Visual Numerical Scale. LOCATION: Laboratory training (up to 4 sessions) followed by home self-managed NFB. User Activity: Upregulating the EEG alpha band power by 10% above a threshold and at the same time downregulating the theta and upper beta (20-30 Hz) band power by 10% at electrode location C4. Technology: A consumer grade multichannel EEG headset (Epoch, Emotiv, USA), a tablet computer and custom made NFB software. EVALUATION: EEG analysis, before and after NFB assessment, interviews and questionnaires.

resultsEffectiveness: Out of 20 initially assessed participants, 15 took part in the study. Participants used the system for 6.9 ± 5.5 (median 4) weeks. Twelve participants regulated their brainwaves in a frequency specific manner and were most successful upregulating the alpha band power. However they typically upregulated power around their individual alpha peak (7.6 ± 0.8 Hz) that was lower than in people without CNP. The reduction in pain experienced was statistically significant in 12 and clinically significant (greater than 30%) in 8 participants. Efficiency: The donning was between 5 and 15 min, and approximately 10-20% of EEG data recorded in the home environment was noise. Participants were mildly stressed when self-administering NFB at home (2.4 on a scale 1-10). User satisfaction: Nine participants who completed the final assessment reported a high level of satisfaction (QUESQ, 4.5 ± 0.8), naming effectiveness, ease of use and comfort as main priorities. The main factors influencing frequency of NFB training were: health related issues, free time and pain intensity.

conclusionPortable NFB is a feasible solution for home-based self-managed treatment of CNP. Compared to pharmacological treatments, NFB has less side effects and provides users with active control over pain.

trial registrationGN15NE124 , Registered 9th June 2016.

Indexed as

Brain-Computer InterfacesAdolescentAdultAgedAlpha RhythmBeta RhythmElectroencephalographyFemaleHumansMaleMiddle AgedNeuralgiaNeurofeedbackPain MeasurementPatient SatisfactionSelf CareBrain computer InterfaceCentral neuropathic painNeurofeedbackSpinal cord injuryUsability

Identifiers

PMID31666096
PMCPMC6822418

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Registered trials

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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.