AI 中文总结
研究在沉浸式VR中评估模拟假体视觉的闭环EEG反馈的可行性，开发EEG引导神经自适应训练平台，22名参与者参与假对照物体定位任务，结果显示EEG相关反馈未产生可靠组级益处，确定了相关方法和设计的局限性。
AI 中文摘要
视觉假体要求用户通过主动视觉搜索来解释稀疏和扭曲的人工感知。我们开发了一个用于沉浸式虚拟现实中模拟假体视觉的脑电图引导神经自适应训练平台，并在一个假对照物体定位任务中评估了其可行性。22名有视力的参与者在通过低分辨率光幻视模拟渲染的虚拟桌面场景中搜索，同时使用与头戴式显示器集成的干电极耳机记录脑电图。在训练期间，参与者根据常用的脑电图参与指数β/（α+θ）或视觉匹配的非偶然假值接收试验后视觉反馈。两组在定位性能上都有类似的会话内改善。脑电图相关反馈在定位准确性、完成时间、工作量或目标指数调制方面没有产生可靠的组级益处。探索性分析显示个体差异很大，但没有建立参与指数与行为表现之间特定于反馈的关系。这些发现证明了将脑电图相关反馈与沉浸式模拟假体视觉相结合的可行性，同时也确定了脑电图测量、单会话训练协议和试验后反馈设计的重要局限性。
英文摘要
Visual prostheses require users to interpret sparse and distorted artificial percepts through active visual search. We developed an EEG-guided neuroadaptive training platform for simulated prosthetic vision in immersive virtual reality and evaluated its feasibility in a sham-controlled object-localization task. Twenty-two sighted participants searched a virtual desk scene rendered through a low-resolution phosphene simulation while EEG was recorded using a dry-electrode headset integrated with a head-mounted display. During training, participants received post-trial visual feedback based either on a commonly used EEG engagement index, $β/(α+θ)$, or on visually matched non-contingent sham values. Both groups showed comparable within-session improvements in localization performance, consistent with practice, increasing familiarity with the simulated percepts, or refinement of search strategies. EEG-contingent feedback did not produce reliable group-level benefits in localization accuracy, completion time, workload, or modulation of the targeted index. Exploratory analyses showed substantial individual variability, but did not establish a feedback-specific relationship between the engagement index and behavioral performance. These findings demonstrate the feasibility of integrating EEG-contingent feedback with immersive simulated prosthetic vision, while identifying important limitations of the EEG measure, single-session training protocol, and post-trial feedback design.
