Trial measurement of movement-related cortical dynamics using electroencephalography and diffuse correlation spectroscopy

Chase Haddix, Ahmed A. Bahrani, Aleksandra Kawala-Janik, Walter G. Besio, Guoqiang Yu, Sridhar Sunderam

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

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 languageEnglish
Title of host publication2017 22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017
Pages642-645
Number of pages4
ISBN (Electronic)9781538624029
DOIs
StatePublished - Sep 19 2017
Event22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017 - Miedzyzdroje, Poland
Duration: Aug 28 2017Aug 31 2017

Publication series

Name2017 22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017

Conference

Conference22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017
Country/TerritoryPoland
CityMiedzyzdroje
Period8/28/178/31/17

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

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