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科技导报
|研究论文
2012
, 30
(12) :
26
-31
基于图论算法的脊髓损伤后大脑皮层运动区神经元网络分析
全屏
霍炎1,2 , 栗苹1 , ChaolinMA2 , HangZHANG2 , JipingHE2
作者信息
1. 北京理工大学机电学院,北京 100081;2. 亚利桑那州立大学神经接口设计中心,美国坦普 85281
通讯作者:
栗苹,教授,研究方向为数字信号处理,电子信箱:liping85@bit.edu.cn;Jiping HE,教授,研究方向为神经控制理论、神经接口技术以及机器人与虚拟现实,电子信箱:jiping.he@asu.edu
Graph Analysis for the Motor Cortical Neuron Network Post Spinal Cord Injury
HUO Yan1,2 , LI Ping1 , MA Chaolin2 , ZHANG Hang2 , HE Jiping2
Affiliations
1. School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China;2. Center for Neural Interface Design, Arizona State University, Tempe 85281, AZ, USA
出版时间: 2012-04-28
doi: 10.3981/j.issn.1000-7857.2012.12.002
文章导航
脊髓损伤(SCI)后大脑皮层运动区神经元的功能重组对机体功能康复的影响仍然不为人知。脊髓损伤前后,对一只在跑步机上直立行走的恒河猴的大脑皮层运动区神经元信号进行记录,利用不同神经元动作电位序列间的相关系数建立神经元网络图。为了研究神经元活动模式的变化与功能康复之间的联系,利用图论算法计算了神经元网络图的全局效能指标和神经元脆弱性指标。结果显示,不同时期神经元活动模式的显著变化意味着运动区神经元的功能重组(神经可塑性)与脊髓损伤后猴子的功能康复状态紧密相关,且这种神经功能重组对于猴子步行功能的康复起了非常重要的积极作用。
脊髓损伤
/
大脑皮层运动区
/
神经元网络图
/
功能重组
The impact of the potential functional reorganization in neuronal populations in motor cortical areas during the functional recovery post a Spinal Cord Injury (SCI) remains unclear. In this study, the cortical neuronal data were recorded from a monkey while it was trained to walk bipedally on a treadmill both before and after the spinal cord injury. A neuronal network graph for multiple steps in different sessions was constructed by using the correlation coefficients between different neurons. The global efficiency and the vulnerability of the graph were then evaluated to reveal the intrinsic relation between the changes of the neuronal activity patterns and the functional recovery. The preliminary results indicate that the observed significant changes in the neuronal activity patterns in the motor cortex suggest that the patterns of the functional reorganization (neural plasticity) in the motor areas of the cortex are correlated and they make contributions to the functional recovery.
spinal cord injury
/
motor cortex
/
neuronal network graph
/
functional reorganization
霍炎;栗苹;ChaolinMA;HangZHANG;JipingHE.
基于图论算法的脊髓损伤后大脑皮层运动区神经元网络分析.
科技导报,
2012
, 30
(12)
: 26
-31
.
DOI: 10.3981/j.issn.1000-7857.2012.12.002
HUO Yan;LI Ping;MA Chaolin;ZHANG Hang;HE Jiping.
Graph Analysis for the Motor Cortical Neuron Network Post Spinal Cord Injury[J].
Science & Technology Review ,
2012
, 30
(12)
: 26
-31
.
DOI: 10.3981/j.issn.1000-7857.2012.12.002
2012年第30卷第12期
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文章信息
doi: 10.3981/j.issn.1000-7857.2012.12.002
接收时间:2011-11-04
首发时间:2012-04-28
出版时间:2012-04-28
收稿日期:2011-11-04
修回日期:2012-03-30
通讯作者:
栗苹,教授,研究方向为数字信号处理,电子信箱:liping85@bit.edu.cn;Jiping HE,教授,研究方向为神经控制理论、神经接口技术以及机器人与虚拟现实,电子信箱:jiping.he@asu.edu
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2012.12.002
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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