Research on Delta-Gamma Phase Amplitude Coupling Based on Mental Fatigue
Yang Shuo, Ji Yakun, Wang Lei*, Hao Pengru, Xu Guizhi
Key Laboratory of Electromagnetic Field and ElectricalApparatus Reliability of Hebei Province,State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130,China
Abstract：Mental fatigue is a state that a person cannot concentrate and finish the task efficiently because of long-term highly concentration on the work, which has extremely influenced upon the health and life of people. However, there have been no simple and effective detection methods.Meanwhile recent studies have found out that phase amplitude coupling (PAC) between low and high rhythm may be related to the information integration in cognitive activities, providing new messages for the detection of mental fatigue.In this paper, the phase amplitude coupling between delta and gamma rhythm was used to study the EEG data recorded before and after mental fatigue. Neuroscan EEG system was used to collect data, and phase amplitude coupling of 14 subjects were calculated and analyzed by paired t test. The results showed that the delta phase of over 90% electrodeson the whole brain area jointly modulated gamma amplitude of frontal lobe, occipital lobe, parietal lobe and frontal lobe, and the coupling effect among different brain regions significantly increased in the first three subareas while the last region significantly decreased when participants were mental fatigued. This study showed that phase amplitude coupling could predict the change of macroscopic behavior caused by mental fatigue and provide a new index for the detection of mental fatigue.
杨硕, 冀亚坤, 王磊, 郝鹏茹, 徐桂芝. 基于脑疲劳的Delta-Gamma相位幅值耦合研究[J]. 中国生物医学工程学报, 2018, 37(4): 445-450.
Yang Shuo, Ji Yakun, Wang Lei, Hao Pengru, Xu Guizhi. Research on Delta-Gamma Phase Amplitude Coupling Based on Mental Fatigue. Chinese Journal of Biomedical Engineering, 2018, 37(4): 445-450.
 Boksem MAS, Kostermans E, Tops M, et al. Individual differences in asymmetric resting-state frontal cortical activity modulate ERPs and performance in a global-local attention task.[J]. Journal of Psychophysiology, 2012, 26(2):51-62.
 Boksem MA, Meijman TF, Lorist MM. Effects of mental fatigue on attention: an ERP study[J]. Cognitive Brain Research, 2005, 25(1):107-116.
 Tops M, Boksem MAS. Absorbed in the task: Personality measures predict engagement during task performance as tracked by error negativity and asymmetrical frontal activity[J]. Cognitive, Affective, & Behavioral Neuroscience, 2010, 10(4):441-453.
 Huang LZ, Wei L, Zhao HF, et al. The effect of Eleutheroside E on behavioral alterations in murine sleep deprivation stress model.[J]. European Journal of Pharmacology, 2011, 658(2-3):150-155.
 Sun Y, Lim J, Kwok K, et al. Functional cortical connectivity analysis of mental fatigue unmasks hemispheric asymmetry and changes in small-world networks.[J]. Brain & Cognition, 2014, 85(1):220-230.
 Laurent F, Valderrama M, Besserve M, et al. Multimodal information improves the rapid detection of mental fatigue[J]. Biomedical Signal Processing & Control, 2013, 8(4):400-408.
 Schroeder CE, Lakatos P. Low-frequency neuronal oscillations as instruments of sensory selection[J]. Trends in Neurosciences, 2009, 32(1):9-18.
 Lakatos P, Karmos G, Mehta AD, et al. Entrainment of neuronal oscillations as a mechanism of attentional selection.[J]. Science, 2008, 320(5872):110-113.
 Mazzoni A, Whittingstall K, Brunel N, et al. Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model[J]. Neuroimage, 2010, 52(3):956-972.
 Canolty RT, Knight RT. The functional role of cross-frequency coupling[J]. Trends in Cognitive Sciences, 2010, 14(14):506-515.
 Nicol AU, Hanno F, Zhan Y, et al. Learning alters theta amplitude, theta-gamma coupling and neuronal synchronization in inferotemporalcortex[J]. BMC Neuroscience, 2011, 12(1):55-77.
 Friese U, Köster M, Hassler U, et al. Successful memory encoding is associated with increased cross-frequency coupling between frontal theta and posterior gamma oscillations in human scalp-recorded EEG.[J]. Neuroimage, 2013, 66(2):642-647.
 王悟夷, 许敏鹏, 李岳峙,等. 视、听、体感目标探测的EEG频谱和空间特异性分析[J]. 中国生物医学工程学报, 2013, 32(3):331-338.
 Käthner I, Wriessnegger SC, Müller-Putz GR, et al. Effects of mental workload and fatigue on the P300, alpha and theta band power during operation of an ERP (P300) brain-computer interface[J]. Biological Psychology, 2014, 102(5):118-129.
 López C, Pérez S, Solans X, et al. Low-frequency local field potentials and spikes in primary visual cortex convey independent visual information.[J]. Journal of Neuroscience, 2008, 28(22):5696-5709.
 Rasch MJ, Gretton A, Murayama Y, et al. Inferring spike trains from local field potentials[J]. Journal of Neurophysiology, 2008, 99(3):1461-1476.
 Soto JL, Jerbi K. Investigation of cross-frequency phase-amplitude coupling in visuomotor networks using magnetoencephalography[C]// International Conference of the IEEE EMBS. IEEE, California, 2012:1550-1553.
 Adamchic I, Langguth B, Hauptmann C, et al. Abnormal cross-frequency coupling in the tinnitus network[J]. Frontiers in Neuroscience, 2014, 8:284.
 Nakatani C, Raffone A, Van Leeuwen C. Efficiency of conscious access improves with coupling of slow and fast neural oscillations[J]. Journal of Cognitive Neuroscience, 2014, 26(5):1168-1179.
 Mormann F, Fell J, Axmacher N, et al. Phase/amplitude reset and theta-gamma interaction in the human medial temporal lobe during a continuous word recognition memory task[J]. Hippocampus, 2005, 15(7):890-900.
 Zhang C, Zheng C, Pei X, et al. Power spectrum analysis on the multiparameter electroencephalogram features of physiological mental fatigue[J]. Journal of Biomedical Engineering, 2009, 26(1):162.
 张力新, 张春翠, 何峰,等. 体脑疲劳交互影响及神经机制研究进展[J]. 生物医学工程学杂志, 2015(5):1135-1140.
 方环海, 王梅. 大脑枕叶语言功能的研究进展[J]. 中国康复理论与实践, 2008, 14(8):739-741.
 程宁, 徐霞霞, 李群,等. 神经振荡交叉节律耦合的生理学意义及在神经工程基础研究中的应用[J]. 纳米技术与精密工程, 2015(5):324-332.