Abstract
To better characterize movement-related neurophysiological change, the authors propose to measure not only neural activity through the electroencephalogram (EEG) but also cerebral blood flow (CBF) using a new technology, near-infrared diffuse correlation spectroscopy (DCS). A preliminary trial is described, in which EEG, DCS, and exerted force were simultaneously recorded during a cue-triggered hand grip task. Eight channels of EEG were acquired from frontal, central, and occipital regions, and DCS signals were collected from locations over frontal and motor cortex. Event-related desynchronization (ERD) was observed at the onset of hand movement and lasted until movement ceased. EEG from the motor area showed a significant ERD in the 8-13 Hz mu band (p<0.001). Mean CBF increased during the task by 6.8 % (p<0.001) in the motor location and by 4.5 % (p<0.001) in the frontal location, respectively. These preliminary observations suggest that a combination of electrical and optical measurements may provide a more complete characterization of brain dynamics related to movement. A broader study is required to explore the potential benefit of these combined measurements when used as command signals for brain-computer interfaces.
Original language | English |
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Title of host publication | 2017 22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017 |
Pages | 642-645 |
Number of pages | 4 |
ISBN (Electronic) | 9781538624029 |
DOIs | |
State | Published - Sep 19 2017 |
Event | 22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017 - Miedzyzdroje, Poland Duration: Aug 28 2017 → Aug 31 2017 |
Publication series
Name | 2017 22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017 |
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Conference
Conference | 22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017 |
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Country/Territory | Poland |
City | Miedzyzdroje |
Period | 8/28/17 → 8/31/17 |
Bibliographical note
Funding Information:This work was supported by National Science Foundation Grant No. 1539068 and by American Heart Association Grant-In-Aid #16GRNT30820006. Bahrani received scholarship support from The Higher Committee for Education Development in Iraq.
Publisher Copyright:
© 2017 IEEE.
Keywords
- Brain-computer interfaces
- cerebral blood flow
- diffuse correlation spectroscopy
- electroencephalography
- near-infrared
- signal processing
ASJC Scopus subject areas
- Artificial Intelligence
- Control and Optimization
- Modeling and Simulation