大鼠压杆实验系统设计及运动皮层神经解码研究
发布时间：2019-05-06 08:21
【摘要】：脑-机接口是在脑和外部设备之间建立不依赖常规外周神经和肌肉的直接的信息交流通路。实现该技术关键在于建立切实可行的实验系统、精确检测实验动物肢体运动和神经信息以及准确地从记录到的神经元锋电位中解析出运动信号。目前以运动控制为目标的脑-机接口研究主要是以初级运动皮层为主,对次级运动皮层的研究还不够深入,而次级运动皮层的神经元集群发放也与肢体运动间也存在一定相关性。因此,本论文以大鼠为实验对象,建立了大鼠压杆行为实验系统,设计大鼠神经元集群-压杆信号的同步采集系统,并成功采集到大鼠初级和次级运动皮层神经信号,深入探讨了大鼠的初级、次级运动皮层的神经元集群发放与肢体运动间的相关性及运动皮层神经解码。本论文的主要研究内容和特色为： 1、本论文设计了大鼠压杆行为实验系统,实现了神经-压杆信号的同步采集,提高后续数据分析处理效率。其中针对大鼠压杆实验中大鼠前肢运动参数的记录,设计了压杆检测系统,包括传感器和检测系统,小量程大行程压力传感器能够满足大鼠前肢压杆动作持续时间短、压力微小的需要；检测系统实现了实时在线记录大鼠前肢运动压力及在线调整压杆运动参数功能,为实验中大鼠压杆行为的规范及前肢压力的信号采集提供了可靠稳定的实验平台。 2、本论文对原有的大鼠脑-机接口系统进行了改进,将电极植入脑区扩展至两个运动皮层,突破了当前对大鼠脑-机接口中单一运动皮层神经信号的记录,且成功记录到大鼠初级和次级运动皮层神经元集群活动信息。 3、针对大鼠次级运动皮层的神经元集群发放在肢体运动中表现出一定的活动,本论文建立了大鼠初级及次级运动皮层神经解码模型,从神经元发放信息中解析出运动信号,在采用偏最小二乘回归算法对次级运动皮层神经解码时,压杆预测值与真实值的相关系数在0.5以上,表明次级运动皮层神经元发放也可以用于对大鼠前肢压杆运动的预测。 本论文研究建立了大鼠压杆行为实验系统,实现了大鼠肢体运动-神经信号的同步采集及大鼠前肢压杆运动参数在线记录,将有助于提高脑-机接口实验中动物运动信息的检测能力；同时建立了次级运动皮层的神经解码,分析了大鼠次级运动皮层神经元发放与压杆运动间的相关性,结果表明次级运动皮层神经元发放同样能够用于对压杆信号进行预测,可做为脑-机接口重要的信息输入源,提供额外的信息补充。
[Abstract]:Brain-computer interface (BCI) is the establishment of a direct communication pathway between the brain and external devices that does not depend on conventional peripheral nerves and muscles. The key to realize this technique is to establish a practical experimental system, to accurately detect the limb movement and neural information of experimental animals, and to accurately resolve the motion signals from the recorded neural front potentials. At present, the research of brain-computer interface aimed at motion control is mainly based on the primary motor cortex, but the research on the secondary motor cortex is not deep enough. There was also a certain correlation between the release of neurons in the secondary motor cortex and limb movement. Therefore, in this paper, we set up a rat pressure bar behavior experiment system, designed a synchronous collection system of rat neuron cluster-pressure bar signal, and successfully collected neural signals of primary and secondary motor cortex of rats. The relationship between neuron cluster release from primary and secondary motor cortex and limb movement and the decoding of motor cortex nerve in rats were discussed in this paper. The main research contents and characteristics of this thesis are as follows: 1. In this paper, the experimental system of rat pressure bar behavior is designed, which realizes the synchronous acquisition of nerve-pressure bar signal and improves the efficiency of follow-up data analysis and processing. 2. In order to record the motion parameters of the forelimb in the pressure bar experiment of rats, a pressure bar detection system is designed, including sensor and detection system. The pressure sensor of small range and large stroke can satisfy the short duration of the action of the pressure bar of the rat forelimb. The need for small pressure; The system realizes the real-time on-line recording of the forelimb movement pressure and the on-line adjustment of the pressure bar motion parameters, which provides a reliable and stable experimental platform for the regulation of the rat pressure bar behavior and the signal acquisition of the forelimb pressure in the experiment. 2. In this paper, the original rat brain-computer interface system was improved, and the electrode implanted into the brain area was extended to two motor cortex, which broke through the recording of the single motor cortex nerve signal in the rat brain-computer interface. The activity information of neurons in primary and secondary motor cortex of rats was recorded successfully. 3. Aiming at the activity of neuron cluster release in the secondary motor cortex of rats, this paper established the decoding model of primary and secondary motor cortex nerve in rats, and analyzed the motor signal from the information of neuron release, and then established the neural decoding model of primary motor cortex and secondary motor cortex of rats. When the partial least squares regression algorithm was used to decode the secondary motor cortical nerve, the correlation coefficient between the predicted value of the compression bar and the real value was more than 0.5, which indicated that the release of the secondary motor cortex neuron could also be used to predict the movement of the compression bar of the forelimb in rats. In this paper, the experimental system of rat pressure bar behavior was established, which realized the simultaneous collection of limb movement-nerve signal and the on-line recording of the motion parameters of rat forelimb pressure bar. It will be helpful to improve the detection ability of animal motor information in brain-computer interface experiment. At the same time, the neural decoding of the secondary motor cortex was established, and the correlation between the release of the secondary motor cortex neuron and the movement of the strut was analyzed. The results showed that the release of the secondary motor cortex neuron could also be used to predict the signal of the secondary motor cortex. It can be used as an important input source for brain-computer interface to provide additional information.
【学位授予单位】：浙江大学
【学位级别】：博士
【学位授予年份】：2012
【分类号】：R338.4
本文编号：2470023
[Abstract]:Brain-computer interface (BCI) is the establishment of a direct communication pathway between the brain and external devices that does not depend on conventional peripheral nerves and muscles. The key to realize this technique is to establish a practical experimental system, to accurately detect the limb movement and neural information of experimental animals, and to accurately resolve the motion signals from the recorded neural front potentials. At present, the research of brain-computer interface aimed at motion control is mainly based on the primary motor cortex, but the research on the secondary motor cortex is not deep enough. There was also a certain correlation between the release of neurons in the secondary motor cortex and limb movement. Therefore, in this paper, we set up a rat pressure bar behavior experiment system, designed a synchronous collection system of rat neuron cluster-pressure bar signal, and successfully collected neural signals of primary and secondary motor cortex of rats. The relationship between neuron cluster release from primary and secondary motor cortex and limb movement and the decoding of motor cortex nerve in rats were discussed in this paper. The main research contents and characteristics of this thesis are as follows: 1. In this paper, the experimental system of rat pressure bar behavior is designed, which realizes the synchronous acquisition of nerve-pressure bar signal and improves the efficiency of follow-up data analysis and processing. 2. In order to record the motion parameters of the forelimb in the pressure bar experiment of rats, a pressure bar detection system is designed, including sensor and detection system. The pressure sensor of small range and large stroke can satisfy the short duration of the action of the pressure bar of the rat forelimb. The need for small pressure; The system realizes the real-time on-line recording of the forelimb movement pressure and the on-line adjustment of the pressure bar motion parameters, which provides a reliable and stable experimental platform for the regulation of the rat pressure bar behavior and the signal acquisition of the forelimb pressure in the experiment. 2. In this paper, the original rat brain-computer interface system was improved, and the electrode implanted into the brain area was extended to two motor cortex, which broke through the recording of the single motor cortex nerve signal in the rat brain-computer interface. The activity information of neurons in primary and secondary motor cortex of rats was recorded successfully. 3. Aiming at the activity of neuron cluster release in the secondary motor cortex of rats, this paper established the decoding model of primary and secondary motor cortex nerve in rats, and analyzed the motor signal from the information of neuron release, and then established the neural decoding model of primary motor cortex and secondary motor cortex of rats. When the partial least squares regression algorithm was used to decode the secondary motor cortical nerve, the correlation coefficient between the predicted value of the compression bar and the real value was more than 0.5, which indicated that the release of the secondary motor cortex neuron could also be used to predict the movement of the compression bar of the forelimb in rats. In this paper, the experimental system of rat pressure bar behavior was established, which realized the simultaneous collection of limb movement-nerve signal and the on-line recording of the motion parameters of rat forelimb pressure bar. It will be helpful to improve the detection ability of animal motor information in brain-computer interface experiment. At the same time, the neural decoding of the secondary motor cortex was established, and the correlation between the release of the secondary motor cortex neuron and the movement of the strut was analyzed. The results showed that the release of the secondary motor cortex neuron could also be used to predict the signal of the secondary motor cortex. It can be used as an important input source for brain-computer interface to provide additional information.
【学位授予单位】：浙江大学
【学位级别】：博士
【学位授予年份】：2012
【分类号】：R338.4
【参考文献】
相关期刊论文 前5条
1 陈小默;洪波;高上凯;;神经元群体解码方法及其在脑-机接口中的应用[J];北京生物医学工程;2007年03期
2 蒋红卫,夏结来;偏最小二乘回归及其应用[J];第四军医大学学报;2003年03期
3 吴边;苏煜;张剑慧;李昕;张吉财;陈卫东;郑筱祥;;基于P300电位的新型BCI中文输入虚拟键盘系统[J];电子学报;2009年08期
4 代建华;章怀坚;张韶岷;李茜;刘晓春;郝耀耀;于毅;蒋凯;刘俊;朱凡;陈卫东;郑筱祥;;大鼠运动皮层神经元集群锋电位时空模式解析[J];中国科学(C辑:生命科学);2009年08期
5 沈红斌,王士同,吴小俊;离群模糊核聚类算法[J];软件学报;2004年07期
，本文编号：2470023
本文链接：https://www.wllwen.com/xiyixuelunwen/2470023.html
最近更新
教材专著
