Enhanced Plasticity of Human Evoked Potentials by Visual Noise During the Intervention of Steady-State Stimulation Based Brain-Computer Interface

doi:10.3389/fnbot.2018.00082

IMR OpenIR

	Enhanced Plasticity of Human Evoked Potentials by Visual Noise During the Intervention of Steady-State Stimulation Based Brain-Computer Interface
	Xie, Jun 1,2,3; Xu, Guanghua 1,3; Zhao, Xingang 2; Li, Min 1; Wang, Jing 1; Han, Chengcheng 1; Han, Xingliang 1
通讯作者	Xie, Jun(xiejun@mail.xjtu.edu.cn) ; Xu, Guanghua(xugh@mail.xjtu.edu.cn)
	2018-11-29
发表期刊	FRONTIERS IN NEUROROBOTICS
ISSN	1662-5218
卷号	12 页码:10
摘要	Neuroplasticity, also known as brain plasticity, is an inclusive term that covers the permanent changes in the brain during the course of an individual's life, and neuroplasticity can be broadly defined as the changes in function or structure of the brain in response to the external and/or internal influences. Long-term potentiation (LTP), a well-characterized form of functional synaptic plasticity, could be influenced by rapid-frequency stimulation (or "tetanus") within in vivo human sensory pathways. Also, stochastic resonance (SR) has brought new insight into the field of visual processing for the study of neuroplasticity. In the present study, a brain-computer interface (BCI) intervention based on rapid and repetitive motion-reversal visual stimulation (i.e., a "tetanizing" stimulation) associated with spatiotemporal visual noise was implemented. The goal was to explore the possibility that the induction of LTP-like plasticity in the visual cortex may be enhanced by the SR formalism via changes in the amplitude of visual evoked potentials (VEPs) measured non-invasively from the scalp of healthy subjects. Changes in the absolute amplitude of P1 and N1 components of the transient VEPs during the initial presentation of the steady-state stimulation were used to evaluate the LIP-like plasticity between the non-noise and noise-tagged BCI interventions. We have shown that after adding a moderate visual noise to the rapid-frequency visual stimulation, the degree of the N1 negativity was potentiated following an similar to 40-min noise-tagged visual tetani. This finding demonstrated that the SR mechanism could enhance the plasticity-like changes in the human visual cortex.
关键词	brain-computer interface (BCI) motion-reversal stimulation plasticity visual evoked potential (VEP) visual noise
资助者	National Natural Science Foundation of China ; Natural Science Foundation of Shaanxi Province of China ; Fundamental Research Funds for the Central Universities ; State Key Laboratory of Robotics
DOI	10.3389/fnbot.2018.00082
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61503298] ; National Natural Science Foundation of China[51505363] ; Natural Science Foundation of Shaanxi Province of China[2016JQ6002] ; Fundamental Research Funds for the Central Universities[xjj2016006] ; State Key Laboratory of Robotics[2016-O11]
WOS研究方向	Computer Science ; Robotics ; Neurosciences & Neurology
WOS类目	Computer Science, Artificial Intelligence ; Robotics ; Neurosciences
WOS记录号	WOS:000451716500001
出版者	FRONTIERS MEDIA SA
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/130543
专题	中国科学院金属研究所
通讯作者	Xie, Jun; Xu, Guanghua
作者单位	1.Xi An Jiao Tong Univ, Sch Mech Engn, Xian, Shaanxi, Peoples R China 2.Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang, Liaoning, Peoples R China 3.Xi An Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Xie, Jun,Xu, Guanghua,Zhao, Xingang,et al. Enhanced Plasticity of Human Evoked Potentials by Visual Noise During the Intervention of Steady-State Stimulation Based Brain-Computer Interface[J]. FRONTIERS IN NEUROROBOTICS,2018,12:10.
APA	Xie, Jun.,Xu, Guanghua.,Zhao, Xingang.,Li, Min.,Wang, Jing.,...&Han, Xingliang.(2018).Enhanced Plasticity of Human Evoked Potentials by Visual Noise During the Intervention of Steady-State Stimulation Based Brain-Computer Interface.FRONTIERS IN NEUROROBOTICS,12,10.
MLA	Xie, Jun,et al."Enhanced Plasticity of Human Evoked Potentials by Visual Noise During the Intervention of Steady-State Stimulation Based Brain-Computer Interface".FRONTIERS IN NEUROROBOTICS 12(2018):10.