基于脑网络的脑疲劳对不同工作记忆负荷的影响

doi:10.3969/j.issn.0258-8021.2021.04.08

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Abstract Working memory is the basis of cognitive behavior. Brain fatigue can lead to the decline in cognitive performance such as memory decline and slow response. In this paper, the brain fatigue experiment was designed by using the character N-back experimental paradigm. The electroencephalogram data of four kinds of visual working memory load were collected from 15 subjects under normal and fatigue conditions and functional brain network was constructed by using mutual information algorithm. Four network characteristic parameters including node degree, node intermediate center degree, node clustering coefficient and node feature path length were calculated and analyzed. The behavior data (reaction time, correct rate) were statistically analyzed. Results showed that under the four working memory loads, compared with the normal state, the brain network node degree in the fatigue state, the centrality of the node and the node clustering coefficient decreased, and the node characteristic path length increased. The nodes with significant differences were mainly distributed in the frontal lobe, parietal lobe and occipital lobe. Results of behavioral data showed that in the normal state, the average response times of the four working memory loads were (578±46), (664±45), (868±44) and (959±42) ms. In the fatigue state, the average response times of the four working memory loads were (656±41), (721±46), (941±50) and (1038±50) ms. The average response time of fatigue state was significantly higher than that of the normal state, and brain fatigue had a negative effect on the working memory under the 4 loads. The research results showed that under the four working memory loads, the brain fatigue had a certain effect on the working memory. In conclusion, the brain fatigue inhibited the increase of brain activity, and brain fatigue had a more obvious effect on the high load than on the low load.

Key words： brain fatigue electroencephalogram working memory brain network

Received: 17 June 2020

PACS:

R318

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	Articles by authors
	Yang Shuo
	Jiang Wentao
	Wang Lei
	Xu Guizhi

Cite this article:

Yang Shuo,Jiang Wentao,Wang Lei, et al. Effect of Mental Fatigue on Different Working Memory Loads Based on Brain Network[J]. Chinese Journal of Biomedical Engineering, 2021, 40(4): 446-452.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2021.04.08 OR http://cjbme.csbme.org/EN/Y2021/V40/I4/446

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