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Enhanced Plasticity of Human Evoked Potentials by Visual Noise During the Intervention of Steady-State Stimulation Based Brain-Computer Interface
Xie, Jun1,2,3; Xu, Guanghua1,3; Zhao, Xingang2; Li, Min1; Wang, Jing1; Han, Chengcheng1; Han, Xingliang1
Corresponding AuthorXie, Jun(xiejun@mail.xjtu.edu.cn) ; Xu, Guanghua(xugh@mail.xjtu.edu.cn)
2018-11-29
Source PublicationFRONTIERS IN NEUROROBOTICS
ISSN1662-5218
Volume12Pages:10
AbstractNeuroplasticity, 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.
Keywordbrain-computer interface (BCI) motion-reversal stimulation plasticity visual evoked potential (VEP) visual noise
Funding OrganizationNational 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
DOI10.3389/fnbot.2018.00082
Indexed BySCI
Language英语
Funding ProjectNational 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 Research AreaComputer Science ; Robotics ; Neurosciences & Neurology
WOS SubjectComputer Science, Artificial Intelligence ; Robotics ; Neurosciences
WOS IDWOS:000451716500001
PublisherFRONTIERS MEDIA SA
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/130543
Collection中国科学院金属研究所
Corresponding AuthorXie, Jun; Xu, Guanghua
Affiliation1.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
Recommended Citation
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.
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