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A Platform for Virtual Reality Task Design with Intracranial Electrodes.

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    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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    This study introduces a new API connecting virtual reality (VR) with neural recording systems for advanced brain research. The developed system enables closed-loop brain-computer interface (BCI) tasks, proving safe and effective for human deployment.

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    Area of Science:

    • Neuroscience
    • Biotechnology
    • Computer Science

    Background:

    • Human intracranial electrode research is limited by clinical settings.
    • Virtual reality (VR) offers precise control over stimuli, transcending traditional research environments.
    • Integrating VR with neural recording (electrocorticography/stereo-electroencephalography) requires robust systems engineering.

    Purpose of the Study:

    • To develop a custom API bridging VR development engines and neural recording/stimulation platforms.
    • To demonstrate the API's functionality and efficiency through a closed-loop brain-computer interface (BCI) task.
    • To validate the system's utility, safety, and efficacy for human research deployment.

    Main Methods:

    • Developed a custom API to integrate Unity (VR engine) with Tucker Davis Technologies (TDT) Synapse software.
    • Engineered a closed-loop brain-computer interface (BCI) task within a VR environment.
    • Utilized filtered neural signals to control virtual object movement and triggered neural stimulation based on virtual object dynamics.

    Main Results:

    • Successfully created and demonstrated a functional API for VR-integrated neural research.
    • Validated the closed-loop VR-BCI task, showing effective control and stimulation.
    • Confirmed the system's utility, safety, and readiness for human subject deployment.

    Conclusions:

    • The developed API provides a powerful platform for advanced in-patient human electroencephalography (ECOG) and stereo-electroencephalography (sEEG) research.
    • This system enables novel BCI paradigms with precise control over sensory stimuli and neural feedback.
    • The successful implementation paves the way for more sophisticated human neuroscience investigations using immersive VR technology.