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[1] Shen Xiaoyan, Wang Zhigong, Lü Xiaoying, et al. Neural function rebuilding on different bodiesusing microelectronic neural bridge technique [J]. Journal of Southeast University (English Edition), 2010, 26 (4): 523-527. [doi:10.3969/j.issn.1003-7985.2010.04.004]
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Neural function rebuilding on different bodiesusing microelectronic neural bridge technique()
采用微电子神经桥实现的异体神经功能重建
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
26
Issue:
2010 4
Page:
523-527
Research Field:
Biological Science and Medical Engineering
Publishing date:
2010-12-30

Info

Title:
Neural function rebuilding on different bodiesusing microelectronic neural bridge technique
采用微电子神经桥实现的异体神经功能重建
Author(s):
Shen Xiaoyan1, 3, Wang Zhigong1, Lü Xiaoying2, Li Wenyuan1, Zhao Xintai1, Huang Zonghao1
1Institute of RF- & OE-ICs, Southeast University, Nanjing 210096, China
2State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, China
3School of Electronic Information, Nantong University, Nantong 226019, China
沈晓燕1, 3, 王志功1, 吕晓迎2, 李文渊1, 赵鑫泰1, 黄宗浩1
1东南大学射频与光电集成电路研究所, 南京210096; 2东南大学生物电子学国家重点实验室, 南京210096; 3南通大学电子信息学院, 南通226019
Keywords:
neural function regeneration;  electromy-ography(EMG);  microelectronic neural bridge;  coherence function
神经功能重建;  肌电信号;  微电子神经桥;  相干函数
PACS:
Q426
DOI:
10.3969/j.issn.1003-7985.2010.04.004
Abstract:
A microelectronic circuit is used to regenerate the neural signals between the proximal end and the distal end of an injured nerve. An experimental scheme is designed and carried out to verify the feasibility of the so-called microelectronic neural bridge(MNB). The sciatic signals of the source spinal toad which are evoked by chemical stimuli are used as source signals to stimulate the sciatic of the controlled spinal toad. The sciatic nerve signals of the source spinal toad, the regenerated sciatic signals in the controlled spinal toad, and the resulting electromyography(EMG)signals associated with the gastrocnemius muscle movements of the controlled spinal toad are displayed and recorded by an oscilloscope. By analyzing the coherence between the source sciatic nerve signals and the regenerated sciatic nerve signals and the coherence between the regenerated nerve signals and the EMG signals, it is proved that the regenerated sciatic nerve signals have a relationship with the source sciatic nerve signals and control shrinkage of the leg of the controlled toad.
介绍了在损伤的远端神经与近端神经间利用微电子神经桥实现神经信道桥接的技术, 设计并实施了一个实验方案, 验证了微电子模块实现神经信道桥接的可行性.以信源脊蟾蜍在化学刺激下诱发的坐骨神经信号作为信号源, 激励受控脊蟾蜍的坐骨神经, 控制其动作.通过示波器观察并记录了信源脊蟾蜍坐骨神经信号、再生后的受控脊蟾蜍坐骨神经信号及其肌电信号.通过分析信源脊蟾蜍坐骨神经信号与受控脊蟾蜍坐骨神经信号以及受控脊蟾蜍坐骨神经信号与肌电信号间的互相干函数, 证明再生后的受控脊蟾蜍坐骨神经信号与信源脊蟾蜍坐骨神经信号有关, 并对受控脊蟾蜍的缩腿动作起着控制作用.

References:

[1] Willerth S M, Sakiyama-Elbert S E. Cell therapy for spinal cord regeneration [J]. Advanced Drug Delivery Reviews, 2008, 60(2):263-276.
[2] Fujiwara Y, Tanaka N, Ishida O, et al. Intravenously injected neural progenitor cells of transgenic rats can migrate to the injured spinal cord and differentiate into neurons, astrocytes and oligodendrocytes [J]. Neuroscience Letters, 2004, 366(3):287-291.
[3] Hayashi K, Ohta S, Kawakami Y, et al. Activation of dendritic-like cells and neural stem/progenitor cells in injured spinal cord by GM-CSF [J]. Neuroscience Research, 2009, 64(1):96-103.
[4] Han S S W, Kang D Y, Mujtaba T, et al. Grafted lineage-restricted precursors differentiate exclusively into neurons in the adult spinal cord [J]. Experimental Neurology, 2002, 177(2):360-375.
[5] Ao Q, Wang A J, Chen G Q, et al. Combined transplantation of neural stem cells and olfactory ensheathing cells for the repair of spinal cord injuries [J]. Medical Hypotheses, 2007, 69(6):1234-1237.
[6] Wang Zhigong, Lü Xiaoying, Gu Xiaosong. Research of central nerve signal recording. processing and regeneration with microelectronics devices[C]//The 14th Conference on Neural Networks of China. Hefei, China, 2004:10-15.(in Chinese)
[7] Wang Zhigong, Gu Xiaosong, Lü Xiaoying. The method and equipment for neural channel bridge aided by a micro-electronic system: Chinese patent, 200510135541.6.[P]. 2008-12-24.
[8] Wang Zhigong, Lü Xiaoying, Li Wenyuan, et al. Study of microelectronics for detecting and stimulating of central neural signals [C]//Proceedings of the First International Conference on Neural Interface and Control. Wuhan, China, 2005: 192-195.
[9] Wang Yufeng, Wang Zhigong, Gu Xiaosong, et al. Fully integrated and low power CMOS amplifier for neural signal recording[C]//Proceedings of the 27th Annual International Conference of Engineering in Medicine and Biology Society. Shanghai, China, 2005: 5250-5253.
[10] Wang Yufeng, Wang Zhigong, Lü Xiaoying, et al. A single-chip and low-power CMOS amplifier for neural signal detection[J]. Chinese Journal of Semiconductors, 2006, 27(8): 1490-1495.
[11] Wang Zhigong, Gu Xiaosong, Lü Xiaoying, et al. Microelectronics-embedded channel bridging and signal regeneration of injured spinal cords [J]. Progress in Natural Science, 2009, 19(10):1261-1269.
[12] Huang Zonghao, Wang Zhigong, Lü Xiaoying, et al. Six-channel neural signal regeneration integrated circuit [C]//32nd Annual International Conference of the IEEE EMBS. Buenos Aires, Argentina, 2010: 1523-1526.
[13] Halliday D M, Conway B A, Farmer S F, et al. Using electroencephalography to study functional coupling between cortical activity and electromyograms during voluntary contractions in humans [J]. Neuroscience Letters, 1998, 241(1):5-8.
[14] Jia Yutao, Luo Zhizeng. Summary of EMG feature extraction[J].Chinese Journal of Electron Devices, 2007, 30(1): 326-330.
[15] Mima T, Hallett M. Electroencephalographic analysis of cortico-muscular coherence: reference effect, volume conduction and generator mechanism [J]. Clinical Neurophysiology, 1999, 110(11):1892-1899.
[16] Mima T, Steger J, Schulman A E, et al. Electroencephalographic measurement of motor cortex control of muscle activity in humans [J]. Clinical Neurophysiology, 2000, 111(2):326-337.
[17] Grosse P, Cassidy M J, Brown P. EEG-EMG, MEG-EMG and EMG-EMG frequency analysis: physiological principles and clinical applications [J]. Clinical Neurophysiology, 2002, 113(10):1523-1531.
[18] Yang Zhan, Halliday D, Jiang Ping, et al. Detecting time-dependent coherence between non-stationary electrophysiological signals—a combined statistical and time-frequency approach [J]. Journal of Neuroscience Methods, 2006, 156(1/2):322-332.
[19] Torrence C, Compo G P. A pratical guide to wavelet analysis[J]. Bull Am Meteo Soc, 1998, 9(1):61-78.

Memo

Memo:
Biographies: Shen Xiaoyan(1969—), female, doctor, associate professor; Wang Zhigong(corresponding author), male, doctor, professor, zgwang@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.90307013, 90707005), the Natural Science Foundation of Jiangsu Province(No.BK2008032), Special Foundation and Open Foundation of State Key Laboratory of Bioelectronics of Southeast University, Nantong Planning Project of Science and Technology(No. K2009037).
Citation: Shen Xiaoyan, Wang Zhigong, Lü Xiaoying, et al. Neural function rebuilding on different bodies using microelectronic neural bridge technique[J].Journal of Southeast University(English Edition), 2010, 26(4):523-527.
Last Update: 2010-12-20