• DocumentCode
    429067
  • Title

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

  • Author

    Erfani, Ali ; Erfanian, Abbas

  • Author_Institution
    Dept. of Biomed. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
  • Volume
    1
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    239
  • Lastpage
    242
  • Abstract
    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.
  • Keywords
    electroencephalography; independent component analysis; medical signal detection; medical signal processing; EEG brain dynamics; brain activity detection; central motor programming; concentration skills; independent component analysis; memory; mental practice; motor imagery; motor skills; motor-cortex rhythm; neuronal activity; primary sensorimotor areas; Blind source separation; Brain computer interfaces; Computerized monitoring; Electrodes; Electroencephalography; Grasping; Independent component analysis; Muscles; Rhythm; Sampling methods; EEG; brain-computer interface; independent component analysis; motor imagery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1403136
  • Filename
    1403136