Evidence map›Paper›PMID 40100843›Full record

ArticlePloS one2025

Towards developing brain-computer interfaces for people with Multiple Sclerosis.

John S Russo, Tim Mahoney, Kirill Kokorin, Ashley Reynolds, Chin-Hsuan Sophie Lin, Sam E John, David B Grayden

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

7 authors.

John S RussoDepartment of Biomedical Engineering, The University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0003-3010-8541
Tim MahoneyDepartment of Biomedical Engineering, The University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0002-2147-7698
Kirill KokorinDepartment of Biomedical Engineering, The University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0002-9003-6917
Ashley ReynoldsDepartment of Biomedical Engineering, The University of Melbourne, Melbourne, Australia.
Chin-Hsuan Sophie LinMelbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0002-2156-1830
Sam E JohnDepartment of Biomedical Engineering, The University of Melbourne, Melbourne, Australia.
David B GraydenDepartment of Biomedical Engineering, The University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0002-5497-7234

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple Sclerosis (MS) can be a severely disabling condition that leads to various neurological symptoms. A Brain-Computer Interface (BCI) may substitute some lost function; however, there is a lack of BCI research in people with MS. Present BCI designs have also overlooked the unique pathological changes associated with MS and have not considered needs of users within their home environments. To progress this research area effectively and efficiently, we aimed to evaluate user needs and assess the feasibility and user-centric requirements of a BCI for people with MS. We hypothesised that (i) people with MS would be interested in adopting BCI technology and (ii) those with reduced independence would prefer a higher-performing invasive BCI.

methodsWe conducted an online survey of people with MS to describe user preferences and establish the initial steps of user-centred design. The survey aimed to understand their interest in BCI applications, bionic applications, device preferences, and development considerations and related these to symptoms and assistance needs.

resultsWe demonstrated widespread interest for BCI applications in all stages of MS, with a preference for a non-invasive (n = 12) or minimally invasive (n = 15) BCI over carer assistance (n = 6). Descriptive analysis indicated that level of independence did not influence preference towards the higher performing but highly invasive BCI.

conclusionsThe needs of end users reported in this study are crucial for efficient development of BCI systems that can be effectively translated into the home environment. Considering the potential to enhance independence and quality of life for people living with MS, the results emphasise the importance of user-centred design for future advancement of BCIs that account for the unique pathological changes associated with MS.

Indexed as

Brain-Computer InterfacesMultiple SclerosisAdultFemaleHumansMaleMiddle AgedSurveys and Questionnaires

Identifiers

PMID40100843
PMCPMC11918325

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.