Using resting state coherence to distinguish between low and high stress groups
Mental stress that is originated due to high task demands affects our life. Human brain is a target of stress. Neuronal variations take place in the brain and make many brain regions communicate with each other to process the information flow. Electroencephalographic (EEG) coherence is a mathematica...
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| Main Authors: | , , , , |
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| Format: | Article |
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Institute of Electrical and Electronics Engineers Inc.
2017
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011990385&doi=10.1109%2fICIAS.2016.7824097&partnerID=40&md5=346050f8a71d8b65a8991b3f9ffa5828 http://eprints.utp.edu.my/20200/ |
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| Summary: | Mental stress that is originated due to high task demands affects our life. Human brain is a target of stress. Neuronal variations take place in the brain and make many brain regions communicate with each other to process the information flow. Electroencephalographic (EEG) coherence is a mathematical representation of cross talk between two brain regions. This paper aims to explore the irregularities in EEG coherence due to the exposure of mental stress. Furthermore, this paper also explores the difference in brain connectivity between low-stress and high-stress subjects. Twenty-two subjects were exposed to a stressful situation for twenty minutes. Their EEG was recorded and compared in pre-and post-stress rest conditions to mark irregularities in EEG coherence. The distinction of subjects in low-and high-stress was done based on their score in the Perceived Stress Scale (PSS). © 2016 IEEE. |
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