Residential College | false |
Status | 已發表Published |
Spectrum power and brain functional connectivity of different EEG frequency bands in attention network tests | |
Cheng Wang1,2; Xin Wang1,2; Mingxing Zhu1,2; Yao Pi1; Xiaochen Wang1,2; Feng Wan3; Shixiong Chen1; Guanglin Li1 | |
2021-11 | |
Conference Name | 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 |
Source Publication | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
Pages | 224-227 |
Conference Date | 01-05 November 2021 |
Conference Place | Mexico |
Country | Mexico |
Publisher | IEEE |
Abstract | There have been many previous studies on brain electrical activity and attention function, but the research on observing the cognitive function of attention from frequency brain electrical indicators remains insufficient. This study proposed an attentional network test (ANT) of Chinese version and used frequency analysis methods to observe the power spectrum activity and functional connectivity of delta (δ), theta (θ), alpha (α) bands of EEG signals to further understand their relationship with attention networks. The attentional network test was composed of alerting network, orienting network and execute conflict network, and these networks were compared with the resting state in different frequency bands. The results showed that α band activity was significantly suppressed in all three attentional states, and the power of θ band activity dramatically increased for the execute conflict network. The negative connection of α band in the long distance (frontal lobe to parietal lobe or occipital lobe) might be a sign of resting state network, and the positive connections between δ and θ band in similar areas could be an indicator of execute conflict network. This pilot study suggests that the frequency domain analysis of EEG signals could be a great tool to visualize the brain activities in response to different attentional networks.Clinical Relevance - This pilot study proved that the frequency bands activity might be suitable objective neuro-markers to distinguish different attention states. |
DOI | 10.1109/EMBC46164.2021.9630869 |
URL | View the original |
Indexed By | EI |
Language | 英語English |
WOS Research Area | Engineering |
WOS Subject | Engineering, Biomedical ; Engineering, Electrical & Electronic |
Scopus ID | 2-s2.0-85122493886 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | Faculty of Science and Technology DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING |
Affiliation | 1.CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China 2.Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China 3.Department of Science and Technology, University of Macau, Macau, China |
Recommended Citation GB/T 7714 | Cheng Wang,Xin Wang,Mingxing Zhu,et al. Spectrum power and brain functional connectivity of different EEG frequency bands in attention network tests[C]:IEEE, 2021, 224-227. |
APA | Cheng Wang., Xin Wang., Mingxing Zhu., Yao Pi., Xiaochen Wang., Feng Wan., Shixiong Chen., & Guanglin Li (2021). Spectrum power and brain functional connectivity of different EEG frequency bands in attention network tests. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 224-227. |
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