• DocumentCode
    970791
  • Title

    Local field potential spectral tuning in motor cortex during reaching

  • Author

    Heldman, Dustin A. ; Wang, Wei ; Chan, Sherwin S. ; Moran, Daniel W.

  • Author_Institution
    Dept. of Biomed. Eng., Washington Univ., St. Louis, MO, USA
  • Volume
    14
  • Issue
    2
  • fYear
    2006
  • fDate
    6/1/2006 12:00:00 AM
  • Firstpage
    180
  • Lastpage
    183
  • Abstract
    In this paper, intracortical local field potentials (LFPs) and single units were recorded from the motor cortices of monkeys (Macaca fascicularis) while they preformed a standard three-dimensional (3-D) center-out reaching task. During the center-out task, the subjects held their hands at the location of a central target and then reached to one of eight peripheral targets forming the corners of a virtual cube. The spectral amplitudes of the recorded LFPs were calculated, with the high-frequency LFP (HF-LFP) defined as the average spectral amplitude change from baseline from 60 to 200 Hz. A 3-D linear regression across the eight center-out targets revealed that approximately 6% of the beta LFPs (18-26 Hz) and 18% of the HF-LFPs were tuned for velocity (p-value <0.05), while 10% of the beta LFPs and 15% of the HF-LFPs were tuned for position. These results suggest that a multidegree-of-freedom brain-machine interface is possible using high-frequency LFP recordings in motor cortex.
  • Keywords
    bioelectric potentials; biomechanics; brain; handicapped aids; regression analysis; 3-D linear regression; 60 to 200 Hz; Macaca fascicularis; brain-machine interface; local field potential spectral tuning; monkeys; motor cortex; standard three-dimensional center-out reaching task; Electric variables control; Electrodes; Encapsulation; Fingers; Frequency; Humans; Impedance; Linear regression; Spatial resolution; Time domain analysis; Brain&#8211;computer interface (BCI); local field potential (LFP); motor cortex; Animals; Arm; Brain; Brain Mapping; Evoked Potentials, Motor; Haplorhini; Macaca; Motor Cortex; Movement; Task Performance and Analysis; User-Computer Interface; Visual Perception;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2006.875549
  • Filename
    1642763