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Proceedings Paper

Electroencephalograph (EEG) study of brain bistable illusion
Author(s): Qinglei Meng; Elliot Hong; Fow-Sen Choa
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Paper Abstract

Bistable illusion reflects two different kinds of interpretations for a single image, which is currently known as a competition between two groups of antagonism of neurons. Recent research indicates that these two groups of antagonism of neurons express different comprehension, while one group is emitting a pulse, the other group will be restrained. On the other hand, when this inhibition mechanism becomes weaker, the other antagonism neurons group will take over the interpretation. Since attention plays key roles controlling cognition, is highly interesting to find the location and frequency band used by brain (with either top-down or bottom-up control) to reach deterministic visual perceptions. In our study, we used a 16-channel EEG system to record brain signals from subjects while conducting bistable illusion testing. An extra channel of the EEG system was used for temporal marking. The moment when subjects reach a perception switch, they click the channel and mark the time. The recorded data were presented in form of brain electrical activity map (BEAM) with different frequency bands for analysis. It was found that the visual cortex in the on the right side between parietal and occipital areas was controlling the switching of perception. In the periods with stable perception, we can constantly observe all the delta, theta, alpha and beta waves. While the period perception is switching, almost all theta, alpha, and beta waves were suppressed by delta waves. This result suggests that delta wave may control the processing of perception switching.

Paper Details

Date Published: 13 May 2015
PDF: 10 pages
Proc. SPIE 9487, Smart Biomedical and Physiological Sensor Technology XII, 94870V (13 May 2015); doi: 10.1117/12.2177520
Show Author Affiliations
Qinglei Meng, Univ. of Maryland, Baltimore County (United States)
Elliot Hong, Univ. of Maryland School of Medicine (United States)
Maryland Psychiatric Research Ctr. (United States)
Fow-Sen Choa, Univ. of Maryland, Baltimore County (United States)


Published in SPIE Proceedings Vol. 9487:
Smart Biomedical and Physiological Sensor Technology XII
Brian M. Cullum; Eric S. McLamore, Editor(s)

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