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控制后肢运动的脊髓神经信号追踪方法研究
  • ISSN号:1002-0470
  • 期刊名称:《高技术通讯》
  • 时间:0
  • 分类:Q959.838[生物学—动物学]
  • 作者机构:[1]南通大学电子信息学院,南通226019
  • 相关基金:国家自然科学基金(81371663)和南通大学博士启动(13806)资助项目.
中文摘要:

为了研究对控制后肢运动的脊髓神经信号的追踪方法,设计了一种跟踪监测大鼠脊髓神经信号传导通路的实验方案。首先采用串脉冲对大鼠运动皮层代表区进行刺激,确定诱发对侧后肢运动的皮层区域;然后电刺激该脑皮层功能区,在脊髓上用只有针尖裸露的针电极多点监测和记录脊髓神经信号,利用幅值对比方法确定控制后肢运动的脊髓神经信号传导路径中的有效位点。经相干性分析得到两有效传输位点间信号的相干函数值为0.9918,证明了这两个信号高度相关;并计算得到控制下肢运动的脊髓神经信号的传导速度约为40m/s。结果表明这种电子信息学方法追踪控制后肢运动的神经信号在脊髓中的传导路径是可行的。

英文摘要:

An experimental scheme for monitoring the rat was designed to study a method for tracking cord with an electronic way. Firstly, a train of conductive the neural s pathway of the neural signals in the spinal cord of the ignals controlling the hindlimb movement in the spinal bipolar pulses was used to stimulate the motor cortical representa- tions of the rat to determine the relative location inducing contralateral hindlimb movement. Then, electrical stimu- lation was used to stimulate the functional areas determined in the last step and the neural signals in the spinal cord was monitored and recorded multipointly with the electrode which exposed only the tip. Amplitude comparison was used to determine the effective points in the conductive pathway of the neural signals controlling the hindlimb move- ment in the spinal cord. Correlation analysis was used to determine the relevance between the two points in the con- ductive pathway of the spinal cord. The cross-correlation function reached the value of 0. 9918, which proved that the two signals were highly correlated. The conduction velocity of the neural signals controlling the hindlimb move- ment was 40m/s. The results show that this method of tracking neural signals in the spinal cord which control hind- limb movements in an electronic information way is feasible.

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期刊信息
  • 《高技术通讯》
  • 北大核心期刊(2011版)
  • 主管单位:中华人民共和国科学科技部
  • 主办单位:中国科学技术信息研究所
  • 主编:赵志耘
  • 地址:北京市三里河路54号
  • 邮编:100045
  • 邮箱:hitech@istic.ac.cn
  • 电话:010-68514060 68598272
  • 国际标准刊号:ISSN:1002-0470
  • 国内统一刊号:ISSN:11-2770/N
  • 邮发代号:82-516
  • 获奖情况:
  • 《中国科学引文数据》刊源,《中国科技论文统计与分析》刊源
  • 国内外数据库收录:
  • 美国化学文摘(网络版),荷兰文摘与引文数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),英国英国皇家化学学会文摘
  • 被引量:12178