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Proceedings Paper

Electroencephalograph (EEG) study on self-contemplating image formation
Author(s): Qinglei Meng; Elliot Hong; Fow-Sen Choa
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Paper Abstract

Electroencephalography (EEG) is one of the most widely used electrophysiological monitoring methods and plays a significant role in studies of human brain electrical activities. Default mode network (DMN), is a functional connection of brain regions that are activated while subjects are not in task positive state or not focused on the outside world. In this study, EEG was used for human brain signals recording while all subjects were asked to sit down quietly on a chair with eyes closed and thinking about some parts of their own body, such as left and right hands, left and right ears, lips, nose, and the images of faces that they were familiar with as well as doing some simple mathematical calculation. The time is marker when the image is formed in the subject’s mind. By analyzing brain activity maps 300ms right before the time marked instant for each of the 4 wave bands, Delta, Theta, Alpha and Beta waves. We found that for most EEG datasets during this 300ms, Delta wave activity would mostly locate at the frontal lobe or the visual cortex, and the change and movement of activities are slow. Theta wave activity tended to rotate along the edge of cortex either clockwise or counterclockwise. Beta wave behaved like inquiry types of oscillations between any two regions spread over the cortex. Alpha wave activity looks like a mix of the Theta and Beta activities but more close to Theta activity. From the observation we feel that Beta and high Alpha are playing utility role for information inquiry. Theta and low Alpha are likely playing the role of binding and imagination formation in DMN operations.

Paper Details

Date Published: 13 May 2016
PDF: 11 pages
Proc. SPIE 9863, Smart Biomedical and Physiological Sensor Technology XIII, 98630X (13 May 2016); doi: 10.1117/12.2225132
Show Author Affiliations
Qinglei Meng, Univ. of Maryland, Baltimore County (United States)
Elliot Hong, Univ. of Maryland School of Medicine (United States)
Fow-Sen Choa, Univ. of Maryland, Baltimore County (United States)

Published in SPIE Proceedings Vol. 9863:
Smart Biomedical and Physiological Sensor Technology XIII
Brian M. Cullum; Douglas Kiehl; Eric S. McLamore, Editor(s)

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