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

PLoS One. 2023 Sep 27;18(9):e0291528. doi: 10.1371/journal.pone.0291528. eCollection 2023.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Brain / diagnostic imaging
  • Brain-Computer Interfaces*
  • Humans
  • Imagery, Psychotherapy
  • Magnetic Resonance Imaging
  • Virtual Reality*

Grants and funding

This work is supported by MACBIOIDI2 (MAC2/1.1b/352), NOVA-LINCS (PEest/UID/CEC/04516/2019), and the Fundação para a Ciência e Tecnologia (FCT) through CEECIND/01073/2018, the LARSyS Project UIDB/50009/2020, the MIGN2Treat Project PTDC/EMD-EMD/29675/2017, and the NeurAugVR Project PTDC/CCI-COM/31485/2017. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.