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Controlling an avatar by thought using real-time fMRI.

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Subjects successfully navigated a virtual environment using a brain-computer interface (BCI) system with real-time functional magnetic resonance imaging (fMRI). This study demonstrates BCI feasibility despite fMRI

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Human-Computer Interaction

Background:

  • Real-time functional magnetic resonance imaging (fMRI) offers high spatial resolution for brain activity monitoring.
  • fMRI-based brain-computer interfaces (BCIs) present challenges due to inherent hemodynamic delay.
  • Virtual reality (VR) provides an immersive platform for BCI interaction.

Purpose of the Study:

  • To develop and evaluate an fMRI-based BCI system integrated with VR feedback.
  • To investigate the feasibility of performing BCI tasks in a virtual environment.
  • To assess the impact of fMRI's temporal delay on BCI task performance.

Main Methods:

  • Participants controlled a virtual avatar using motor imagery or physical movements (left/right hand, leg).
  • BCI classification involved identifying regions of interest (ROIs) associated with motor tasks.
  • Subjects completed cue-based and free-choice tasks, with performance analyzed alongside subjective feedback.

Main Results:

  • High accuracy was achieved by participants using physical movements; moderate accuracy was obtained using motor imagery alone.
  • Optimal performance in the cue-based task occurred 8-12 seconds post-trigger.
  • Best performance in the free-choice task was observed with a 6-second feedback delay.

Conclusions:

  • fMRI-based BCIs can enable navigation tasks within virtual environments, overcoming hemodynamic delay limitations.
  • The developed BCI approach is adaptable for various mental tasks and brain regions.
  • This research expands the potential applications of fMRI in BCI development.