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从单单位记录确定的一群双极梭外肌运动神经元(DSCT神经元)反应的组成部分。

Components of the responses of a population of DSCT neurons determined from single-unit recordings.

作者信息

Osborn C E, Poppele R E

机构信息

Laboratory of Neurophysiology, University of Minnestoa, Minneapolis 55455.

出版信息

J Neurophysiol. 1989 Feb;61(2):447-55. doi: 10.1152/jn.1989.61.2.447.

Abstract
  1. Impulse activity of single units belonging to the dorsal spinocerebella tract (DSCT) was recorded in response to electrical stimulation of peripheral muscle nerves at group I intensities. The responses for 187 units were determined using a spike train analysis technique that facilitates the comparison of poststimulus response time course across units (response probability function, RPF; 16). 2. The poststimulus changes in impulse activity were represented in the waveform of the RPF. Principal component analysis was used to determine the component waveforms that were common to the responses across units. The analysis showed that there were a few waveforms that dominated the majority of the responses (85% of the total variability was accounted for by five principal component waveforms). 3. A cluster analysis based on three principal component waveforms revealed seven major groups of responses according to the patterns of their poststimulus activity. These response types were composed of different combinations of short- or long-latency excitation and inhibition. The same clusters were formed regardless of response amplitude or the source of the stimulus. 4. The responses were characterized by three general features, revealed by the first three principal components. The primary feature was the sign of the response, either mostly excitatory or inhibitory. The second feature was a distinction between a short- (up to 15 ms) and long- (approximately 30 ms) latency to peak response, and the third feature was the appearance of two separate phases of opposite sign in some of the responses.(ABSTRACT TRUNCATED AT 250 WORDS)
摘要
  1. 记录了属于背侧脊髓小脑束(DSCT)的单个神经元的冲动活动,以响应I组强度的外周肌肉神经电刺激。使用一种尖峰序列分析技术确定了187个神经元的反应,该技术便于比较不同神经元刺激后反应的时间进程(反应概率函数,RPF;参考文献16)。2. 刺激后冲动活动的变化以RPF的波形表示。主成分分析用于确定不同神经元反应中共同的成分波形。分析表明,有少数波形主导了大多数反应(总变异性的85%由五个主成分波形解释)。3. 基于三个主成分波形的聚类分析根据刺激后活动模式揭示了七组主要反应。这些反应类型由短潜伏期或长潜伏期兴奋与抑制的不同组合组成。无论反应幅度或刺激源如何,都会形成相同的聚类。4. 这些反应具有由前三个主成分揭示的三个一般特征。主要特征是反应的正负,即大多是兴奋性还是抑制性。第二个特征是峰值反应的短潜伏期(最长15毫秒)和长潜伏期(约30毫秒)之间的区别,第三个特征是在一些反应中出现两个相反符号的独立阶段。(摘要截短于250字)

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