• Title of article

    Cross-Correlation ofMotor Activity Signals from dc-Magnetoencephalography, Near-Infrared Spectroscopy, and Electromyography

  • Author/Authors

    Tilmann H. Sander، نويسنده , , Stefanie Leistner، نويسنده , , HeidrunWabnitz، نويسنده , , Bruno-Marcel Mackert، نويسنده , , RainerMacdonald، نويسنده , , Lutz Trahms، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    6
  • From page
    3
  • To page
    8
  • Abstract
    Neuronal and vascular responses due to finger movements were synchronously measured using dc-magnetoencephalography (dcMEG) and time-resolved near-infrared spectroscopy (trNIRS). The finger movements were monitored with electromyography (EMG). Cortical responses related to the finger movement sequence were extracted by independent component analysis from both the dcMEG and the trNIRS data. The temporal relations between EMG rate, dcMEG, and trNIRS responses were assessed pairwise using the cross-correlation function (CCF), which does not require epoch averaging. A positive lag on a scale of seconds was found for the maximum of the CCF between dcMEG and trNIRS. A zero lag is observed for the CCF between dcMEG and EMG. Additionally this CCF exhibits oscillations at the frequency of individual finger movements. These findings show that the dcMEG with a bandwidth up to 8 Hz records both slow and faster neuronal responses, whereas the vascular response is confirmed to change on a scale of seconds
  • Journal title
    Computational Intelligence and Neuroscience
  • Serial Year
    2010
  • Journal title
    Computational Intelligence and Neuroscience
  • Record number

    678209