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基于单一慢适应性参数对被动猫肌梭初级传入纤维的细分

Subdivision of primary afferents from passive cat muscle spindles based on a single slow-adaptation parameter.

作者信息

Awiszus F, Schäfer S S

机构信息

Medizinische Hochschule Hannover, Abteilung Neurophysiologie, FRG.

出版信息

Brain Res. 1993 May 28;612(1-2):110-4. doi: 10.1016/0006-8993(93)91650-h.

Abstract

38 primary afferents originating from de-efferented cat tibialis anterior muscle spindles were investigated. Ramp-and-hold stretches of the host muscle were performed with a varying amount of muscle pre-stretch while recording the primary afferent discharges. From the discharge responses an interspike interval function was estimated. This revealed a slow adaptation during the hold phase of stretch which could be approximated quite well by a power function. The slow-adaptation power function exponent (SAE) was found to be rather independent of the amount of pre-stretch applied to the host muscle and grouped around a value characteristic for each afferent. These 'characteristic SAEs' showed a clearly bimodal distribution within the population of primaries studied. Moreover, the distribution around both modes was narrow enough to justify the subdivision of the primary afferents according to their characteristic SAE as either high-SAE (10 afferents; 26%) or low-SAE (28 afferents; 74%) afferents. The most likely explanation for this bimodality of slow-adaptation behavior in primary afferents is given by the assumption that the afferent discharge of the passive spindle is mainly provided from a branch innervating either the bag1 (for high-SAE units) or the bag2 and chain (for low-SAE units) intrafusal fibers.

摘要

对38条源自去传出神经支配的猫胫骨前肌肌梭的初级传入神经进行了研究。在记录初级传入神经放电的同时,对宿主肌肉进行斜坡-保持拉伸,并改变肌肉预拉伸量。根据放电反应估计了峰峰间隔函数。这揭示了在拉伸保持阶段的缓慢适应,其可以由幂函数很好地近似。发现慢适应幂函数指数(SAE)相当独立于施加到宿主肌肉的预拉伸量,并且围绕每个传入神经的特征值分组。这些“特征SAE”在所研究的初级传入神经群体中呈现出明显的双峰分布。此外,两种模式周围的分布足够窄,足以证明根据其特征SAE将初级传入神经细分为高SAE(10条传入神经;26%)或低SAE(28条传入神经;74%)传入神经是合理的。初级传入神经慢适应行为这种双峰性的最可能解释是基于这样的假设,即被动肌梭的传入放电主要来自支配袋1(对于高SAE单位)或袋2和链(对于低SAE单位)梭内纤维的分支。

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