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Jia W, Shan S, Zhang J. [Biomarker extraction of sustained attention based on brain functional network]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2018;35(2):176-181doi: 10.7507/1001-5515.201611045.
Jia, W., Shan, S., & Zhang, J. (2018). [Biomarker extraction of sustained attention based on brain functional network]. Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 35(2), 176-181. https://doi.org/10.7507/1001-5515.201611045
Jia, Wenxiao, et al. "[Biomarker extraction of sustained attention based on brain functional network]." Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi vol. 35,2 (2018): 176-181. doi: https://doi.org/10.7507/1001-5515.201611045
Jia W, Shan S, Zhang J. [Biomarker extraction of sustained attention based on brain functional network]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2018 Apr 25;35(2):176-181. doi: 10.7507/1001-5515.201611045. Chinese. PMID: 29745521.
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Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2018 Apr 25;35(2):176-181. doi: 10.7507/1001-5515.201611045.

[Biomarker extraction of sustained attention based on brain functional network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi

[Article in Chinese]
Wenxiao Jia, Siyuan Shan, Jicong Zhang

Affiliations

  1. School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, P.R.China.
  2. School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, [email protected].

PMID: 29745521 DOI: 10.7507/1001-5515.201611045

Abstract

Although attention plays an important role in cognitive and perception, there is no simple way to measure one's attention abilities. We identified that the strength of brain functional network in sustained attention task can be used as the physiological indicator to predict behavioral performance. Behavioral and electroencephalogram (EEG) data from 14 subjects during three force control tasks were collected in this paper. The reciprocal of the product of force tolerance and variance were used to calculate the score of behavioral performance. EEG data were used to construct brain network connectivity by wavelet coherence method and then correlation analysis between each edge in connectivity matrices and behavioral score was performed. The linear regression model combined those with significantly correlated network connections into physiological indicator to predict participant's performance on three force control tasks, all of which had correlation coefficients greater than 0.7. These results indicate that brain functional network strength can provide a widely applicable biomarker for sustained attention tasks.

Keywords: brain functional network; force control task; sustained attention; wavelet coherence

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