Multimodal BCIs: Target Detection, Multi-dimensional Control,and Awareness Evaluation in Patients with Disorder of Consciousness

【作者】 李远清；

【机构】 华南理工大学；

【摘要】 Despite rapid advances in the study of brain-computer interfaces(BCIs)in recent decades,two fundamental challenges,namely,improvement of target detection performance and multi-dimensional 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 thesechallenges.In particular,improved target detection can be achieved by developing multimodal BCIs that utilize multiple brain patterns,multimodal signals or multisensory stimuli.Furthermore,multi-dimensional 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.更多还原

【Abstract】 Despite rapid advances in the study of brain-computer interfaces(BCIs)in recent decades,two fundamental challenges,namely,improvement of target detection performance and multi-dimensional 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 thesechallenges.In particular,improved target detection can be achieved by developing multimodal BCIs that utilize multiple brain patterns,multimodal signals or multisensory stimuli.Furthermore,multi-dimensional 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.更多还原