The effects of mental practice and concentration skills on EEG brain dynamics during motor imagery using independent component analysis

被引:0
|
作者
Erfani, A [1 ]
Erfanian, A [1 ]
机构
[1] Iran Univ Sci & Technol, Fac Elect Engn, Dept Biomed Engn, Tehran, Iran
来源
PROCEEDINGS OF THE 26TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7 | 2004年 / 26卷
关键词
EEG; brain-computer interface; independent component analysis; motor imagery;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
It is now well established that mental practice using motor imagery improves motor skills. The effects of mental practice on motor skill learning are the result of practice on central motor programming. According to this view, it seems logical that mental practice should modify the neuronal activity in the primary sensorimotor areas. This article explores the use of independent component analysis (ICA) approach to characterize the effect of mental practice and concentration skills on EEG patterns during motor imagery. The results indicate that the mental training has a significant effect on spatial-temporal EEG during motor imagery. It is observed that the power of delta and theta bands increases following the visual cue and alpha activity is significantly suppressed. Increase of gamma activities starts almost 1000 ms after the visual stimulus and continues to the end of imagination. Increase of theta activities can be associated with engagement of the working memory during motor imagery and represents the memory load. The interesting result is that the mental training dramatically enhances motor-cortex rhythm. It is found that ICA can successfully detect and separate different brain activities into separate components during motor imagery.
引用
收藏
页码:239 / 242
页数:4
相关论文
共 50 条
  • [1] Independent Component Analysis Using Clustering on Motor Imagery EEG
    Qi, Hongzhi
    Zhu, Yuhuan
    Ming, Dong
    Wan, Baikun
    2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20, 2009, : 4735 - 4738
  • [2] Dynamic Analysis of Motor Imagery EEG Using Kurtosis Based Independent Component Analysis
    Guo, Xiaojing
    Wang, Lu
    Wu, Xiaopei
    Zhang, Daoxin
    ADVANCES IN COGNITIVE NEURODYNAMICS, PROCEEDINGS, 2008, : 381 - +
  • [3] Independent Component Analysis in a Motor Imagery Brain Computer Interface
    Rejer, Izabela
    Gorski, Pawel
    17TH IEEE INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES - IEEE EUROCON 2017 CONFERENCE PROCEEDINGS, 2017, : 126 - 131
  • [4] Translation of EEG Spatial Filters from Resting to Motor Imagery Using Independent Component Analysis
    Wang, Yijun
    Wang, Yu-Te
    Jung, Tzyy-Ping
    PLOS ONE, 2012, 7 (05):
  • [5] EEG DURING MENTAL PRACTICE AND REAL PERFORMANCE OF MOTOR-SKILLS
    WEISS, T
    BEYER, L
    HANSEN, E
    INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 1991, 11 (01) : 87 - 87
  • [6] EEG Classification for Motor Imagery BCI Using Phase-only Features Extracted by Independent Component Analysis
    Qureshi, Muhammad Naveed Iqbal
    Cho, Dongrae
    Lee, Boreom
    2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2017, : 2097 - 2100
  • [7] Imaging human EEG dynamics using independent component analysis
    Onton, Julie
    Westerfield, Marissa
    Townsend, Jeanne
    Makeig, Scott
    NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS, 2006, 30 (06): : 808 - 822
  • [8] Reevaluating brain networks activated during mental imagery of finger movements using probabilistic Tensorial Independent Component Analysis (TICA)
    Sauvage, Chloe
    Poirriez, S.
    Manto, Mario
    Jissendi, Patrice
    Habas, Christophe
    BRAIN IMAGING AND BEHAVIOR, 2011, 5 (02) : 137 - 148
  • [9] Reevaluating brain networks activated during mental imagery of finger movements using probabilistic Tensorial Independent Component Analysis (TICA)
    Chloé Sauvage
    S. Poirriez
    Mario Manto
    Patrice Jissendi
    Christophe Habas
    Brain Imaging and Behavior, 2011, 5 : 137 - 148
  • [10] EEG Complexity Maps to Characterise Brain Dynamics during Upper Limb Motor Imagery
    Catrambone, Vincenzo
    Greco, Alberto
    Averta, Giuseppe
    Bianchi, Matteo
    Bicchi, Antonio
    Scilingo, Enzo Pasquale
    Valenza, Gaetano
    2018 40TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2018, : 3060 - 3063