Effect of Mental Fatigue on Different Working Memory Loads Based on Brain Network
Yang Shuo1,2*, Jiang Wentao1,2, Wang Lei1,2, Xu Guizhi1,2
1(State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China) 2(Hebei Key Laboratory of Bioelectromagnetics and Neuroengineering, Hebei University of Technology, Tianjin 300130, China)
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.
杨硕, 江文涛, 王磊, 徐桂芝. 基于脑网络的脑疲劳对不同工作记忆负荷的影响[J]. 中国生物医学工程学报, 2021, 40(4): 446-452.
Yang Shuo, Jiang Wentao, Wang Lei, Xu Guizhi. Effect of Mental Fatigue on Different Working Memory Loads Based on Brain Network. Chinese Journal of Biomedical Engineering, 2021, 40(4): 446-452.
[1] Tanaka M, Ishii A, Watanabe Y. Neural effects of mental fatigue caused by continuous attention load: A magnetoencephalography study [J]. Brain Research, 2014, 1561(2): 60-66. [2] Boksem M, Meijman T, Lorist M. Effects of mental fatigue on attention: An ERP study [J]. Cognitive Brian Research, 2005, 25(1): 107-116. [3] Boksem M, Meijman T, Lorist M. Mental fatigue, motivation and action monitoring [J]. Biological Psychology, 2006, 72(2): 123-132. [4] Boksem M, Tops M. Mental fatigue: Costs and benefits [J]. Brain Research Reviews, 2008, 59(1): 125-139. [5] Travis M, Alexandra P, Thelen A, et al. Neural mechanisms of mental fatigue elicited by sustained auditory processing [J]. Nertopsychologia, 2017, 106: 371-382. [6] 雷敏.背景音乐对工作记忆的影响[D]. 郑州:郑州大学,2016. [7] 宋国萍,张侃.驾驶疲劳对工作记忆的影响[J].中华行为医学与脑科学杂志,2010,19(12):1108-1109. [8] 孟桂芳,许敏鹏,张春翠,等.一种与N-Back诱发脑力疲劳相关的特异性脑电网络结构[J].中国生物医学工程学报,2017,36(2):143-149. [9] 吴桃宇.睡眠剥夺及剥夺后小睡对工作记忆任务的影响[D]. 成都:西南大学,2017. [10] 郭玉峰.功能磁共振成像研究睡眠剥夺30小时对健康年轻医生工作记忆的影响研究[J].影像研究与医学应用,2018,2(6):56-57. [11] Chen Wenhao, Chen Jie, Lin Xiao, et al. Dissociable effects of sleep deprivation on functional connectivity in the dorsal and ventral default mode networks[J]. Sleep Medicine, 2018, 50: 137-144. [12] Kirchner WK. Age differences in short-term retention of rapidly changing information [J]. Journal of Experimental Psychology, 1958, 55(4): 352-360. [13] Horne JA, Burley CV. We know when we are sleepy: Subjective versus objective measurements of moderate sleepiness in healthy adults [J]. Biological Psychology, 2010, 83(3): 266-268. [14] Daniel H, Andrei R, Alexander S, et al. Inequalities for Shannon entropy and Kolmogorov complexity [J]. Journal of Computer and System Sciences, 2000, 60: 442-464. [15] 李颖,张东颖,苏晴,等.基于脑网络的古典音乐和摇滚音乐对工作记忆的影响研究[J]. 中国生物医学工程学报,2019,38(2):129-137. [16] Li Jingjing,Cao Hongjun. Different characteristics and important channels between the healthy brain network and the epileptic brain network based on EEG data [J]. Commun Nonlinear Sci Numer Simulat, 2019, 66: 147-155. [17] Yin Zhongliang,Li Jun,Zhang Yun,et al. Functional brain network analysis of schizophrenic patients with positive and negative syndrome based on mutual information of EEG time series [J]. Biomedical Signal Processing and Control, 2017, 31: 331-338. [18] Jonides J, Schumacher EH, Smith EE, et al. Verbal working memory load affects regional brain activation as measured by PET [J]. Journal of Cognitive Neuroscience, 1997, 9: 462-475. [19] Hung Yuwen, Smith M. Functional dissociations in prefrontal-hippocampal working memory systems [J]. Cortex, 2013, 49(4): 961-967. [20] 李松,靳静娜,王欣,等.基于脑电θ波特征信息分析的大脑前额皮质在字母工作记忆中作用的研究[J].中国生物医学工程学报,2015,34(2):143-152. [21] Sheereen H, Steven R. Effects of mental fatigue on exercise decision-making [J]. Psychology of Sport & Exercise, 2019, 44: 1-8. [22] Wang L, Liu X, Guise K, et al. Effective Connectivity of the fronto-parietal network during attentional control [J]. Journal of Cognitive Neuroscience, 2009, 22(3): 543-553. [23] Fletcher PC, Henson RN. Frontal lobes and human memory insights from functional neuroimaging [J]. Brain, 2001, 124: 849-881. [24] 王思思.视觉工作记忆的存储和干扰抑制的神经机制[D].上海:华东师范大学,2019. [25] Olson IR, Berryhill M. Some surprising findings on the involvement of the parietal lobe in human memory [J]. Neurobiology of Learning and Memory, 2009, 91(2): 155-165.
