Quantitative EEG and its Correlation with Cardiovascular, Cognition and mood State: an Integrated Study in Simulated Microgravity
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- 作者：Jianyuan Zhang (1)
Bin Hu (2)
Wenjuan Chen (3)
Philip Moore (4)
Tingting Xu (1)
Qunxi Dong (1)
Zhenyu Liu (1)
Yuejia Luo (5)
Shanguang Chen (3) - 关键词：Head ; down bed rest ; Canonical correlation analysis ; EEG features ; EEG topographical model
- 刊名：Microgravity Science and Technology
- 出版年：2014
- 出版时间：December 2014
- 年：2014
- 卷：26
- 期：6
- 页码：401-418
- 全文大小：1,111 KB
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15. Gu, Z.: Effect of simulated microgravity on Human brain bray matter density and cerebral perfusion. Anhui Med - 作者单位：Jianyuan Zhang (1)
Bin Hu (2)
Wenjuan Chen (3)
Philip Moore (4)
Tingting Xu (1)
Qunxi Dong (1)
Zhenyu Liu (1)
Yuejia Luo (5)
Shanguang Chen (3)
1. The School of Information Science and Engineering, Lanzhou University, Lanzhou, China
2. College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
3. China Astronaut Research and Training Center, Beijing, 100094, China
4. The School of Computing, Telecommunications and Networks, Birmingham City University, Birmingham, UK
5. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China - ISSN：1875-0494
文摘
The focus of the study is the estimation of the effects of microgravity on the central nervous activity and its underlying influencing mechanisms. To validate the microgravity-induced physiological and psychological effects on EEG, quantitative EEG features, cardiovascular indicators, mood state, and cognitive performances data collection was achieved during a 45 day period using a -6°head-down bed rest (HDBR) integrated approach. The results demonstrated significant differences in EEG data, as an increased Theta wave, a decreased Beta wave and a reduced complexity of brain, accompanied with an increased heart rate and pulse rate, decreased positive emotion, and degraded emotion conflict monitoring performance. The canonical correlation analysis (CCA) based cardiovascular and cognitive related EEG model showed the cardiovascular effect on EEG mainly affected bilateral temporal region and the cognitive effect impacted parietal-occipital and frontal regions. The results obtained in the study support the use of an approach which combines a multi-factor influential mechanism hypothesis. The changes in the EEG data may be influenced by both cardiovascular and cognitive effects.