• DocumentCode
    140442
  • Title

    High frequency activity correlates of robust movement in humans

  • Author

    Kerr, Matthew S. D. ; Kahn, Kevin ; Hyun-Joo Park ; Thompson, Susan ; Hao, Siyuan ; Bulacio, Juan ; Gonzalez-Martinez, Jorge A. ; Gale, John ; Sarma, Sridevi V.

  • Author_Institution
    Dept. of Biomed. Eng., Johns Hopkins Univ., Baltimore, MD, USA
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    4391
  • Lastpage
    4394
  • Abstract
    The neural circuitry underlying fast robust human motor control is not well understood. In this study we record neural activity from multiple stereotactic encephalograph (SEEG) depth electrodes in a human subject while he/she performs a center-out reaching task holding a robotic manipulandum that occasionally introduces an interfering force field. Collecting neural data from humans during motor tasks is rare, and SEEG provides an unusual opportunity to examine neural correlates of movement at a millisecond time scale in multiple brain regions. Time-frequency analysis shows that high frequency activity (50-150 Hz) increases significantly in the left precuneus and left hippocampus when the subject is compensating for a perturbation to their movement. These increases in activity occur with different durations indicating differing roles in the motor control process.
  • Keywords
    biomedical electrodes; brain; electroencephalography; medical robotics; neurophysiology; SEEG depth electrodes; center-out reaching task; frequency 50 Hz to 150 Hz; high frequency activity; human motor control; human subject; interfering force field; left hippocampus; left precuneus; motor control process; multiple brain regions; multiple stereotactic encephalograph depth electrodes; neural activity; neural circuitry; perturbation; robotic manipulandum; time-frequency analysis; Electrodes; Force; Hippocampus; IEEE members; Imaging; Neuroscience; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6944597
  • Filename
    6944597