Evidence map›Paper›PMID 37756271›Full record

ArticlePloS one2023

Brain activation by a VR-based motor imagery and observation task: An fMRI study.

João D Nunes, Athanasios Vourvopoulos, Diego Andrés Blanco-Mora, Carolina Jorge, Jean-Claude Fernandes, Sergi Bermudez I Badia, Patrícia Figueiredo

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
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  8. Review
  9. 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
    Review
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.

João D NunesINESC TEC - Institute for Systems and Computer Engineering, Technology and Science, and Faculty of Engineering, University of Porto, Porto, Portugal.
Athanasios VourvopoulosInstitute for Systems and Robotics - Lisboa, and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal.ORCID 0000-0001-9676-8599
Diego Andrés Blanco-MoraFaculdade de Ciências Exatas e da Engenharia, N-LINCS Madeira - ARDITI, Universidade da Madeira, Funchal, Portugal.
Carolina JorgeFaculdade de Ciências Exatas e da Engenharia, N-LINCS Madeira - ARDITI, Universidade da Madeira, Funchal, Portugal.
Jean-Claude FernandesCentral Hospital of Funchal, Physical Medicine and Rehabilitation Service, Funchal, Portugal.
Sergi Bermudez I BadiaFaculdade de Ciências Exatas e da Engenharia, N-LINCS Madeira - ARDITI, Universidade da Madeira, Funchal, Portugal.
Patrícia FigueiredoInstitute for Systems and Robotics - Lisboa, and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal.ORCID 0000-0002-0743-0869

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Training motor imagery (MI) and motor observation (MO) tasks is being intensively exploited to promote brain plasticity in the context of post-stroke rehabilitation strategies. This may benefit from the use of closed-loop neurofeedback, embedded in brain-computer interfaces (BCI's) to provide an alternative non-muscular channel, which may be further augmented through embodied feedback delivered through virtual reality (VR). Here, we used functional magnetic resonance imaging (fMRI) in a group of healthy adults to map brain activation elicited by an ecologically-valid task based on a VR-BCI paradigm called NeuRow, whereby participants perform MI of rowing with the left or right arm (i.e., MI), while observing the corresponding movement of the virtual arm of an avatar (i.e., MO), on the same side, in a first-person perspective. We found that this MI-MO task elicited stronger brain activation when compared with a conventional MI-only task based on the Graz BCI paradigm, as well as to an overt motor execution task. It recruited large portions of the parietal and occipital cortices in addition to the somatomotor and premotor cortices, including the mirror neuron system (MNS), associated with action observation, as well as visual areas related with visual attention and motion processing. Overall, our findings suggest that the virtual representation of the arms in an ecologically-valid MI-MO task engage the brain beyond conventional MI tasks, which we propose could be explored for more effective neurorehabilitation protocols.

Indexed as

Brain-Computer InterfacesVirtual RealityAdultBrainHumansImagery, PsychotherapyMagnetic Resonance Imaging

Identifiers

PMID37756271
PMCPMC10529559

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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.