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Effects of Transcranial Magneto-Acoustic-Electrical Stimulation on Gamma Rhythm of Local Field Potentials during Working Memory Task of Rats |
Zhang Shuai1,2*, Dang Junwu1,2, Jiao Lipeng1,2, Wu Jiankang1,2, Wang Yixiao1,2, Xu Guizhi1,2# |
1(State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China) 2(Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, Tianjin 300130, China) |
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Abstract Transcranial magneto-acoustic-electrical stimulation (TMAES) is a new non-invasive neural regulation technique, which uses ultrasound and static magnetic field to generate an induction electric field to regulate the oscillating activities of the corresponding brain regions, thus affecting cognitive functions such as learning and memory. The purpose of this study was to investigate the effects of TMAES on the oscillations of gamma rhythmic nerve during the working memory (WM) behavior experiment in rats. Twenty healthy adult Wistar rats were divided into control group and stimulation group. The stimulation group received TMAES of 0.05~0.15 T and 1.33~13.33 W/cm2 for 10 days, while the control group didn′t accept any stimulations. The local field potentials (LFPs) in the prefrontal cortex (PFC) of the two groups of rats were recorded during the T-maze working memory task, and the behavioral differences, time-frequency distribution of the local field potential and correlation of mutual information between the two groups of rats were compared and analyzed. The experimental results showed that the time required for the rats in the stimulation group to perform the working memory task to achieve the correct rate above 80% was (7.57±0.99) d, which was significantly less than (10.65±2.32) d in the control group (P<0.05). Before and after passing through the behavioral selection position, the energy density of gamma band of local field potential signal in 2.66~13.33 W/cm2 group and 0.10~0.15 T group was significantly higher than that in the control group (P<0.05). The correlation between the 12 channel signals of the gamma band of rats in 6.65~13.33 W/cm2 group and 0.10~0.15 T group was significantly stronger than that in the control group (P<0.05). The results indicated that the transcranial magneto-acoustic-electrical stimulation could enhance the rhythmic oscillating activity of prefrontal cortex neurons in working memory of rats, which lays a foundation for exploring the mechanism of TMAES regulating brain memory function.
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Received: 06 May 2021
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[1] Harada CN, Love MCN, Triebel KL. Normal cognitive aging [J]. Clinics in Geriatric Medicine, 2013, 29(4): 737-752. [2] Yonelinas AP, Ranganath C, Ekstrom AD, et al. A contextual binding theory of episodic memory: systems consolidation reconsidered [J]. Nature Reviews Neuroscience, 2019, 20(6): 364-375. [3] Alan B. Working memory: Looking back and looking forward [J]. Nature Reviews Neuroscience, 2003, 4(10):829-839. [4] Buzsaki G, Logothetis N, Singer W. Scaling brain size, keeping timing: Evolutionary preservation of brain rhythms [J]. Neuron, 2013, 80(3): 751-764. [5] 张丙淑,随力,黄思佳. 恐惧记忆的形成对大鼠内侧前额叶皮层局部场电位的影响 [J]. 中国生物医学工程学报, 2017, 36(1): 53-58. [6] Fell J, Axmacher N. The role of phase synchronization in memory processes [J]. Nature Reviews Neuroscience, 2011, 12(2): 105-118. [7] Miller EK, Lundqvist M, Basto AM. Working memory 2.0 [J]. Neuron, 2018, 100(2): 463-475. [8] 库逸轩. 工作记忆的认知神经机制 [J].生理学报, 2019, 71(1): 173-185. [9] Colgin LL. Rhythms of the hippocampal network [J]. Nature Reviews Neuroscience, 2016, 17(4): 239-249. [10] Zheng CG, Bieri KW, Hsiao YT, et al. Spatial sequence coding differs during slow and fast gamma rhythms in the hippocampus [J]. Neuron, 2016, 89(2): 398-408. [11] 白杨,杨佳佳,郑晨光. Gamma 节律:认知障碍疾病的潜在诊断靶点 [J]. 生物化学与生物物理进展, 2020, 47: 523-537. [12] 张帅,崔琨,史勋,等. 经颅磁声电刺激参数对神经元放电模式的影响分析 [J]. 电工技术学报, 2019, 34: 3741-3749. [13] Stephen JN. Can ultrasound be used to stimulate nerve tissue? [J]. Biomedical Engineering Online, 2003, 2(1): 6-14. [14] Yuan Yi, Chen Yudong, Li Xiaoli. Theoretical analysis of transcranial magneto-acoustical stimulation with Hodgkin-Huxley neuron model [J]. Frontiers in Computational Neuroscience, 2016, 10(35): 1-8. [15] 袁毅,陈玉东,闫佳庆,等. 经颅霍尔效应刺激作用下神经系统放电节律的理论研究 [J]. 中国生物医学工程学报, 2016, 35(2): 247-251. [16] 袁毅,孙红宝,陈玉东,等. 经颅磁声刺激作用下耦合神经元的去同步研究 [J]. 中国生物医学工程学报, 2017, 36(4): 502-506. [17] 袁毅,庞娜,陈玉东,等. 经颅磁声刺激作用下神经元放电频率适应性的研究 [J]. 生物医学工程学杂志, 2017, 34(6): 934-941. [18] 刘世坤,张鑫山,周晓青,等. 经颅磁声耦合电刺激技术应用于小鼠的实验研究 [J]. 生物医学工程研究, 2018, 37(1): 11-15. [19] 王会琴,周晓青,刘世坤,等. 经颅磁声刺激与经颅超声刺激诱发肌电运动阈值的对比研究 [J]. 医疗卫生装备, 2019, 40(1): 14-19. [20] Wang Huiqin, Zhou Xiaoqing, Cui Dong, et al. Comparative study of transcranial magneto-acoustic stimulation and transcranial ultrasound stimulation of motor cortex [J]. Frontiers in Behavioral Neuroscience, 2019, 13(241): 1-10. [21] 张帅,史勋,尹宁,等. 基于H-H神经元模型的经颅磁声刺激对神经元放电活动的影响 [J]. 高电压技术, 2019, 45(4): 1124-1130. [22] Yang Yang, Mailman RB. Strategic neuronal encoding in medial prefrontal cortex of spatial working memory in the T-maze [J]. Behavioural Brain Research, 2018, 343: 50-60. [23] 彭丝雨,周到,张家琦,等. 基于互信息的脑网络及测谎研究 [J].电子学报, 2019, 47(7): 1551-1556. [24] Arvaneh M, Guan CT, Ang KK, et al. Mutual information-based optimization of sparse spatio-spectral filters in brain-computer interface [J]. Neural Computing & Applications, 2014, 25(3-4): 625-634. [25] 徐佳琳,左国坤. 基于互信息与主成分分析的运动想象脑电特征选择算法 [J]. 生物医学工程学杂志, 2016, 33: 201-207. [26] Spellman T, Rigotti M, Ahmari SE, et al. Hippocampal-prefrontal input supports spatial encoding in working memory [J]. Nature, 2015, 522(7556): 309-314. [27] De Vries IEJ, Slagter HA, Olivers CNL. Oscillatory control over representational states in working memory [J]. Trends in Cognitive Sciences, 2020, 24(2): 150-162. [28] Biskamp J, Bartos M, Sauer JF. Organization of prefrontal network activity by respiration-related oscillations [J]. Scientific Reports, 2017, 7: 45508. [29] Shirvalkar PR, Rapp PR, Shapiro ML. Bidirectional changes to hippocampal theta-gamma comodulation predict memory for recent spatial episodes [J]. Proceedings of the National Academy of Sciences of the United States of America, 2010, 107(15): 7054-7059. [30] Zheng CG Bieri KW, Hwaun E, et al. Fast gamma rhythms in the hippocampus promote encoding of novel object-place pairings [J]. eNeuro, 2016, 3(2): e0001. [31] 卢凝,刑丹琴,盛涛,等. 海马神经振荡的产生机制和功能 [J]. 生理学报, 2017, 69(5): 647-656. [32] Johnson NW, Ozkan M, Burgess AP, et al. Phase-amplitude coupled persistent theta and gamma oscillations in rat primary motor cortex in vitro[J]. Neuropharmacology, 2017, 119: 141-156. |
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