• DocumentCode
    1339350
  • Title

    Kinesthetic Motor Imagery Modulates Intermuscular Coherence

  • Author

    Stepp, Cara E. ; Oyunerdene, Nominerdene ; Matsuoka, Yoky

  • Author_Institution
    Boston Univ., Boston, MA, USA
  • Volume
    19
  • Issue
    6
  • fYear
    2011
  • Firstpage
    638
  • Lastpage
    643
  • Abstract
    Intermuscular coherence can identify oscillatory coupling between two electromyographic (EMG) signals, measuring common presynaptic drive to motor neurons. Beta band oscillations (15-30 Hz) are hypothesized to originate largely from primary motor cortex, and are reduced during dynamic relative to static motor tasks. It has yet to be established whether motor imagery modulates beta intermuscular coherence. Using visual feedback, 10 unimpaired participants completed eighteen trials of pinching their right thumb and index finger at a constant force. During the 60-second trials, participants simultaneously engaged in one of three types of kinesthetic imagery: the right thumb and index finger executing a constant force pinch (static), the fingers of the right hand sequentially flexing and extending (dynamic), and the right foot pushing down with constant force (foot). Motor imagery of a dynamic motor task resulted in significantly lower intermuscular beta coherence than imagery of a static motor pinch task, without any difference in task performance or root-mean-square EMG. Thus, motor imagery affects intermuscular coherence in the beta band, even while measures of task performance remain constant. This finding provides insight for incorporation of beta band intermuscular coherence in future motor rehabilitation schemes and brain computer interface design.
  • Keywords
    biomechanics; electromyography; muscle; constant force pinch; electromyographic signals; flexing; index finger; intermuscular beta coherence; kinesthetic motor imagery; right foot pushing; right thumb; root-mean-square EMG; visual feedback; Electromyography; Man machine systems; Muscles; Neural engineering; Electromyography (EMG); man–machine systems; neural engineering; Adult; Algorithms; Analysis of Variance; Brain; Data Interpretation, Statistical; Electrodes; Electroencephalography; Electromyography; Equipment Design; Feedback, Physiological; Female; Humans; Imagination; Kinesthesis; Male; Motor Cortex; Movement; Muscle, Skeletal; Psychomotor Performance; User-Computer Interface; Young Adult;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2011.2168982
  • Filename
    6034527