The Effects of Subthreshold Vibratory Noise on Cortical Activity During Motor Imagery

被引:10
作者
Lakshminarayanan, Kishor [1 ]
Shah, Rakshit [2 ]
Yao, Yifei [3 ]
Madathil, Deepa [4 ]
机构
[1] Vellore Inst Technol, Sch Elect Engn, Dept Sensors & Biomed Engn, Vellore, India
[2] Cleveland State Univ, Cleveland, OH USA
[3] Shanghai Jiao Tong Univ, Shanghai, Peoples R China
[4] OP Jindal Global Univ, Jindal Inst Behav Sci, Sonipat, Haryana, India
关键词
virtual reality; vibratory stimulation; kinesthetic motor imagery; brain-computer interface; electroencephalography; event-related desynchronization; machine learning; VIRTUAL-REALITY; REHABILITATION; RECOVERY; STROKE;
D O I
10.1123/mc.2022-0061
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Previous studies have demonstrated that both visual and proprioceptive feedback play vital roles in mental practice of movements. Tactile sensation has been shown to improve with peripheral sensory stimulation via imperceptible vibratory noise by stimulating the sensorimotor cortex. With both proprioception and tactile sensation sharing the same population of posterior parietal neurons encoding within high-level spatial representations, the effect of imperceptible vibratory noise on motor imagery-based brain-computer interface is unknown. The objective of this study was to investigate the effects of this sensory stimulation via impercepti-ble vibratory noise applied to the index fingertip in improving motor imagery- based brain-computer interface performance. Fifteen healthy adults (nine males and six females) were studied. Each subject performed three motor imagery tasks, namely drinking, grabbing, and flexion-extension of the wrist, with and without sensory stimulation while being presented a rich immersive visual scenario through a virtual reality headset. Results showed that vibratory noise increased event-related desynchronization during motor imagery compared with no vibration. Furthermore, the task classification percentage was higher with vibration when the tasks were discriminated using a machine learning algorithm. In conclusion, subthreshold random frequency vibration affected motor imagery-related event-related desynchronization and improved task classification performance.
引用
收藏
页码:559 / 572
页数:14
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