The Changes of Corticospinal Excitability During the Control of Artificial Hand Through the Brain–Computer Interface Based on the P300 Component of Visual Evoked Potential

被引:4
|
作者
Syrov N.V. [1 ]
Novichikhina K.A. [1 ]
Kir’yanov D.A. [1 ]
Gordleeva S.Y. [2 ]
Kaplan A.Y. [1 ,2 ]
机构
[1] Moscow State University, Moscow
[2] Lobachevsky State University, Nizhny Novgorod
关键词
brain–computer interface; corticospinal excitability; EEG; neurosimulator; P300; rehabilitation; stroke;
D O I
10.1134/S0362119719020117
中图分类号
学科分类号
摘要
Abstract: The study has assayed a new type of brain–computer interface technology based on the P300 wave (BCI–P300), in which an artificial hand with moving fingers was used as an executive device, and flashes of LEDs located on each finger were used as visual stimuli. The focus of the subject’s attention on particular LED flashes on the finger subjectively selected for flexion was detected by the P300 wave from the flash of the corresponding LED and transmitted to the electric drive of the corresponding finger. We have tested the hypothesis that the work of the subject in the BCI–P300 with control of finger drives of an artificial hand leads to an increase in corticospinal excitability, measured with transcranial magnetic stimulation (TMS). Neurophysiological trial involving 43 volunteers has shown that the corticospinal excitability actually increases when the fingers of the artificial hand are controlled through the BCI–P300 and does not change if the subjects simply observe independent movements of the fingers of the artificial hand, or work in the BCI–P300 with a panel of LEDs located separately from the hand. The confirmation of the hypothesis of increased corticospinal excitability during the active work of a subject with the control of fingers of the artificial hand in the BCI-P300 allows us to recommend this complex as a simulator of motor function in the recovery period after stroke or neurotraumas. © 2019, Pleiades Publishing, Inc.
引用
收藏
页码:152 / 157
页数:5
相关论文
共 50 条
  • [1] A Brain Computer Interface Methodology Based on a Visual P300 Paradigm
    Pires, Gabriel
    Nunes, Urbano
    [J]. 2009 IEEE-RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, 2009, : 4193 - 4198
  • [2] EarEEG based Visual P300 Brain-Computer Interface
    Farooq, Faisal
    Looney, David
    Mandic, Danilo P.
    Kidmose, Preben
    [J]. 2015 7TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER), 2015, : 98 - 101
  • [3] A P300 based online brain-computer interface system for virtual hand control
    Wei-dong Chen
    Jian-hui Zhang
    Ji-cai Zhang
    Yi Li
    Yu Qi
    Yu Su
    Bian Wu
    Shao-min Zhang
    Jian-hua Dai
    Xiao-xiang Zheng
    Dong-rong Xu
    [J]. Journal of Zhejiang University SCIENCE C, 2010, 11 : 587 - 597
  • [4] A P300 based online brain-computer interface system for virtual hand control
    Weidong CHENJianhui ZHANGJicai ZHANGYi LIYu QIYu SUBian WUShaomin ZHANGJianhua DAIXiaoxiang ZHENGDongrong XU Qiushi Academy for Advanced StudiesZhejiang UniversityHangzhou China School of Computer Science and TechnologyZhejiang UniversityHangzhou China Department of Biomedical EngineeringZhejiang UniversityHangzhou China MRI UnitDepartment of PsychiatryColumbia University College of Physicians and SurgeonsNew YorkNY USA New York State Psychiatric InstituteNew YorkNY USA
    [J]. JournalofZhejiangUniversity-ScienceC(Computers&Electronics)., 2010, 11 (08) - 597
  • [5] A P300 based online brain-computer interface system for virtual hand control
    Chen, Wei-dong
    Zhang, Jian-hui
    Zhang, Ji-cai
    Li, Yi
    Qi, Yu
    Su, Yu
    Wu, Bian
    Zhang, Shao-min
    Dai, Jian-hua
    Zheng, Xiao-xiang
    Xu, Dong-rong
    [J]. JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS, 2010, 11 (08): : 587 - 597
  • [6] A combined brain-computer interface based on P300 potentials and motion-onset visual evoked potentials
    Jin, Jing
    Allison, Brendan Z.
    Wang, Xingyu
    Neuper, Christa
    [J]. JOURNAL OF NEUROSCIENCE METHODS, 2012, 205 (02) : 265 - 276
  • [7] DIAGNOSING FUNCTIONAL VISUAL DEFICITS WITH THE P300 COMPONENT OF THE VISUAL EVOKED-POTENTIAL
    TOWLE, VL
    SUTCLIFFE, E
    SOKOL, S
    [J]. ARCHIVES OF OPHTHALMOLOGY, 1985, 103 (01) : 47 - 50
  • [8] A P300 Brain-Computer Interface With a Reduced Visual Field
    Kirasirova, Luiza
    Bulanov, Vladimir
    Ossadtchi, Alexei
    Kolsanov, Alexander
    Pyatin, Vasily
    Lebedev, Mikhail
    [J]. FRONTIERS IN NEUROSCIENCE, 2020, 14
  • [9] An Improved Visual-Tactile P300 Brain Computer Interface
    Sun, Hongyan
    Jin, Jing
    Zhang, Yu
    Wang, Bei
    Wang, Xingyu
    [J]. NEURAL INFORMATION PROCESSING (ICONIP 2017), PT II, 2017, 10635 : 777 - 785
  • [10] Effects of mental workload during operation of a visual P300 brain-computer interface
    Kaethner, I.
    Halder, S.
    Wriessnegger, S. C.
    Mueller-Putz, G. R.
    Kuebler, A.
    [J]. PERCEPTION, 2013, 42 : 218 - 218