Multimodal BCIs: Target Detection, Multidimensional Control, and Awareness Evaluation in Patients With Disorder of Consciousness
Multimodal BCIs: Target Detection, Multidimensional Control, and Awareness Evaluation in Patients With Disorder of Consciousness
复制标题
多模态 BCI：意识障碍患者的目标检测、多维控制和意识评估
DOI：
10.1109/jproc.2015.2469106
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发表时间：
2016-02-01
影响因子：
20.6
通讯作者：
Wu, Wei
中科院分区：
文献类型：
--
作者：
Li, Yuanqing;Pan, Jiahui;Wu, Wei
尽管近几十年来脑机接口（BCI）的研究取得了快速进展，但两个基本挑战，即目标检测性能的提高和多维控制，仍然是进一步发展和应用的主要障碍。在本文中，我们回顾了多模式脑机接口（也称为混合脑机接口）的最新进展，这可能为解决这些挑战提供潜在的解决方案。特别是，可以通过开发利用多种大脑模式、多模式信号或多感官刺激的多模式脑机接口来实现改进的目标检测。此外，多维对象控制可以通过从不同的大脑模式或信号模态生成多个控制信号来实现。在这里，我们突出了几个代表性的多模态脑机接口系统，通过分析他们的范式设计，检测/控制方法和实验结果。为了证明它们的实用性，我们报告了这些多模式BCI系统的几个初步临床应用，包括意识障碍（DOC）患者的意识评估/检测。作为一个不断发展的研究领域，多模态脑机接口的研究越来越需要多学科的协同努力，探索潜在的大脑机制，设计新的有效的范式和神经反馈的手段，并扩大这些系统的临床应用。
Despite rapid advances in the study of brain-computer interfaces (BCIs) in recent decades, two fundamental challenges, namely, improvement of target detection performance and multidimensional control, continue to be major barriers for further development and applications. In this paper, we review the recent progress in multimodal BCIs (also called hybrid BCIs), which may provide potential solutions for addressing these challenges. In particular, improved target detection can be achieved by developing multimodal BCIs that utilize multiple brain patterns, multimodal signals, or multisensory stimuli. Furthermore, multidimensional object control can be accomplished by generating multiple control signals from different brain patterns or signal modalities. Here, we highlight several representative multimodal BCI systems by analyzing their paradigm designs, detection/control methods, and experimental results. To demonstrate their practicality, we report several initial clinical applications of these multimodal BCI systems, including awareness evaluation/detection in patients with disorder of consciousness (DOC). As an evolving research area, the study of multimodal BCIs is increasingly requiring more synergetic efforts from multiple disciplines for the exploration of the underlying brain mechanisms, the design of new effective paradigms and means of neurofeedback, and the expansion of the clinical applications of these systems.