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颅内电极虚拟现实任务设计平台。

A Platform for Virtual Reality Task Design with Intracranial Electrodes.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:6659-6662. doi: 10.1109/EMBC46164.2021.9630231.

Abstract

Research with human intracranial electrodes has traditionally been constrained by the limitations of the inpatient clinical setting. Immersive virtual reality (VR), however, can transcend setting and enable novel task design with precise control over visual and auditory stimuli. This control over visual and auditory feedback makes VR an exciting platform for new in-patient, human electrocorticography (ECOG) and stereo-electroencephalography (sEEG) research. The integration of intracranial electrode recording and stimulation with VR task dynamics required foundational systems engineering. In this work, we present a custom API that bridges Unity, the leading VR game development engine, and Synapse, the proprietary software of the Tucker Davis Technologies (TDT) neural recording and stimulation platform. To demonstrate the functionality and efficiency of our API, we developed a closed-loop brain-computer interface (BCI) task in which filtered neural signals controlled the movement of a virtual object and virtual object dynamics triggered neural stimulation. This closed-loop VR-BCI task confirmed the utility, safety, and efficacy of our API and its readiness for human task deployment.

摘要

传统上,使用颅内电极进行的研究受到住院临床环境的限制。然而,沉浸式虚拟现实 (VR) 可以超越环境限制,实现新颖的任务设计,并对视觉和听觉刺激进行精确控制。这种对视觉和听觉反馈的控制使 VR 成为新的住院患者、人类皮层电图 (ECOG) 和立体脑电图 (sEEG) 研究的令人兴奋的平台。颅内电极记录和刺激与 VR 任务动态的集成需要基础系统工程。在这项工作中,我们提出了一个自定义 API,它连接了领先的 VR 游戏开发引擎 Unity 和 Tucker Davis Technologies (TDT) 神经记录和刺激平台的专有软件 Synapse。为了展示我们 API 的功能和效率,我们开发了一个闭环脑机接口 (BCI) 任务,其中过滤后的神经信号控制虚拟对象的移动,而虚拟对象的动态触发神经刺激。这个闭环 VR-BCI 任务证实了我们的 API 的实用性、安全性和有效性,以及它为人类任务部署做好了准备。

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