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
Link To Document