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Effects of High-Frequency Repetitive Transcranial Magnetic Stimulation with Inter-Train Intervals on Power Spectral Density in Bilateral Motor Regions |
Jin Jingna1, Liao Wenqing1, Liu Wenbo2, Wang Xin1, Liu Zhipeng1, Yin Tao1,3#* |
1(Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300192, China) 2(Sinocation (Beijing) Medical Technology Co., Ltd, Beijing 102629, China) 3(Neuroscience Center, Chinese Academy of Medical Sciences, Beijing 100730, China) |
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Abstract The effect of inter-train intervals incorporated into high-frequency repetitive transcranial magnetic stimulation (rTMS) on the activity of motor cortex has not been studied adequately yet. The purpose of this study was to investigate the effects of different inter-train intervals (ITI) high-frequency rTMS over primary motor cortex on neural activity energy. Eleven healthy subjects participated in real 10 Hz rTMS with 25, 50 and 100 s ITI and sham 10 Hz rTMS, with trains of 5 s duration. Electroencephalography (EEG) signals with eyes closed in resting state before and after each rTMS session were collected to analyze the changes of power spectral density and its laterality index in total, delta, theta, alpha, beta, gamma 1 and gamma 2 frequency bands in bilateral motor regions. The power spectrum density of stimulated motor cortex in all frequency bands didn’t change significantly after 25 s ITI rTMS (P>0.05). However, the power spectral density of stimulated motor cortex in theta (before vs after (11.42±1.01) dB vs (12.19±1.10) dB) and beta (before vs after (10.71±0.99) dB vs (11.20±0.88) dB) frequency bands increased, and in gamma 2 (before vs after (4.94±0.97) dB vs (3.35±0.61) dB) frequency band decreased significantly after 50 s ITI rTMS (P<0.05). The power spectral density of stimulated motor cortex in theta (before vs after (11.29±1.00) dB vs (12.17±1.10) dB), alpha (before vs after (16.17±1.20) dB vs (17.74±1.20) dB) and beta (before vs after (10.55±0.88) dB vs (11.26±0.90) dB) bands increased significantly after 100 s ITI rTMS. (P<0.05). The changes of power spectrum in non-stimulated motor cortex were similar to that in stimulated motor region. Furthermore, the laterality index of power spectral density in all frequency bands between motor cortex didn’t change after all rTMS (P>0.05). The study demonstrated that the effects of high frequency rTMS with different ITI on the motor cortex activities were different and suggested the ITI should be carefully considered when formulating the high frequency rTMS paradigms.
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Received: 28 September 2020
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About author:: Member, Chinese Society of Biomedical Engineering |
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[1] Barker AT, Jalinous R, Freeston IL. Non-invasive magnetic stimulation of the human motor cortex[J]. Lancet, 1985, 325(8437):1106-1107. [2] Hayashi T, Ohnishi T, Okabe S, et al. Long-term effect of motor cortical repetitive transcranial magnetic stimulation induces[J]. Ann Neurol, 2004, 56(1):77-85. [3] Bermudes RA, Lanocha KL, Janicak PG, et al. Transcranial magnetic stimulation: Clinical applications for psychiatric practice[J]. Ann Clin Psychiatry, 2019, 25(2):171-172. [4] Li Yi, Fan Jingjing, Yang Jingyi, et al. Effects of repetitive transcranial magnetic stimulation on walking and balance function after stroke: A systematic review and meta-analysis[J]. Am J Phys Med Rehab, 2018, 97(11):773-781. [5] Chen R, Gerloff C, Classen J, et al. Safety of different inter-train intervals for repetitive transcranial magnetic stimulation and recommendations for safe ranges of stimulation parameters[J]. Electroen Clin Neuro, 1997, 105(6):415-421. [6] Rothkegel H, Sommer M, Paulus W, et al. Breaks during 5 Hz rTMS are essential for facilitatory after effects[J]. Clin Neurophysiology, 2010, 121(3):426-430. [7] Huang YZ, Edwards MJ, Rounis E, et al. Theta burst stimulation of the human motor cortex[J]. Neuron, 2005, 45(2):201-206. [8] Cash RFH, Dar A, Hui J, et al. Influence of inter-train interval on the plastic effects of rTMS[J]. Brain Stimul, 2017, 10(3):630-636. [9] Sasaki N, Mizutani S, Kakuda W, et al. Comparison of the effects of high- and low-frequency repetitive transcranial magnetic stimulation on upper limb hemiparesis in the early phase of stroke[J]. Stroke Cerebrovasc Dis, 2013, 22(4):413-418. [10] Ameli M, Grefkes C, Kemper F, et al. Differential effects of high-frequency repetitive transcranial magnetic stimulation over ipsilesional primary motor cortex in cortical and subcortical middle cerebral artery stroke[J]. Ann Neurol, 2009, 66(3):298-309. [11] Shukla AW, Shuster JJ, Chung JW, et al. Repetitive transcranial magnetic stimulation (rTMS) therapy in Parkinson disease: A meta-analysis[J]. PM & R, 2016, 8(4):356-366. [12] Chang WH, Kim YH, Bang OY, et al. Long-term effects of RTMS on motor recovery in patients after subacute stroke[J]. Rehabil Med, 2010, 42(8):758-764. [13] Rossini PM, Burke D, Chen R, et al. Non-invasive electrical and magnetic stimulation of the brain, spinal cord, roots and peripheral nerves: Basic principles and procedures for routine clinical and research application. An updated report from an I.F.C.N. Committee [J]. Clin Neurophysiol, 2015, 126(6): 1071-1107. [14] Strens LHA, Oliviero A, Bloem BR, et al.The effects of subthreshold 1 Hz repetitive TMS on cortico-cortical and interhemispheric coherence[J]. Clin Neurophysiology, 2002, 113(8):1279-1285. [15] Jin Jingna, Wang Xin, Li Ying, et al. rTMS combined with motor training changed the inter-hemispheric lateralization[J]. Exp Brain Res, 2019, 237(10):1-12. [16] Cardin JA, Carlén M, Meletis K, et al. Driving fast-spiking cells induces gamma rhythm and controls sensory responses[J]. Nature, 2009, 459(7247):663-667. [17] Buzsáki G, Wang Xiaojing. Mechanisms of gamma oscillations[J]. Annu Rev Neurosci, 2012, 35(1):203-225. [18] Babiloni C, Marzano N, Iacoboni M, et al. Resting state cortical rhythms in athletes: a high-resolution EEG study[J]. Brain Res Bull, 2010, 81(1):149-156. [19] Neubauer A, Freudenthaler HH, Pfurtscheller G. Intelligence and spatiotemporal patterns of event-related desynchronization (ERD)[J]. Intelligence, 1995, 20(3):249-266. [20] Klimesch W. EEG-alpha rhythms and memory processes[J]. Int J Psychophysiol, 1997, 26(1-3):319-340. [21] Klimesch W, Sauseng P, Gerloff C. Enhancing cognitive performance with repetitive transcranial magnetic stimulation at human individual alpha frequency[J]. Eur J Neurosci, 2003, 17:1129-1133. [22] Saes M, Meskers CGM, Daffertshofer A, et al. How does upper extremity Fugl-Meyer motor score relate to resting-state EEG in chronic stroke? A power spectral density analysis[J]. Clin Neurophysiol, 2019, 130(5):856-862. [23] 邱嘉裕. 基于静息态脑电的脑卒中患者大脑异常活动研究[D]. 广州: 华南理工大学,2018. [24] Kwon TG, Kim YH, Chang WH, et al. Effective method of combining rTMS and motor training in stroke patients[J]. Restor Neurol Neuros, 2014, 32(2):223-232. [25] Lüdemann-Podubecká J, Kathrin Bösl, Theilig S, et al. The effectiveness of 1 Hz rTMS over the primary motor area of the unaffected hemisphere to improve hand function after stroke depends on hemispheric dominance[J]. Brain Stimul, 2015, 8:823-830. [26] Cunningham DA, Machado A, Janini D, et al. The assessment of inter-hemispheric imbalance using imaging and non-invasive brain stimulation in patients with chronic stroke[J]. Arch Phys Med Rehab, 2015, 96(4):S94-S103. [27] Agius AA, Falzon O, Camilleri K, et al.Brain aymmetry index in healthy and stroke patients for assessment and prognosis[J].Stroke Res Treatment, 2017, 2017:8276136. [28] Gorsler A, Baumer T, Weiller C, et al. Interhemispheric effects of high and low frequency rTMS in healthy humans[J]. Clin Neurophysiol, 2003, 114(10):1800-1807. |
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