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皮肤机械感受器传入纤维的振动适应性

Vibratory adaptation of cutaneous mechanoreceptive afferents.

作者信息

Bensmaïa S J, Leung Y Y, Hsiao S S, Johnson K O

机构信息

Krieger Mind/Brain Inst., Johns Hopkins Univ., 3400 N. Charles St, Krieger Hall 338, Baltimore, MD 21218, USA.

出版信息

J Neurophysiol. 2005 Nov;94(5):3023-36. doi: 10.1152/jn.00002.2005. Epub 2005 Jul 13.

Abstract

The objective of this study was to investigate the effects of extended suprathreshold vibratory stimulation on the sensitivity of slowly adapting type 1 (SA1), rapidly adapting (RA), and Pacinian (PC) afferents. To that end, an algorithm was developed to track afferent absolute (I0) and entrainment (I1) thresholds as they change over time. We recorded afferent responses to periliminal vibratory test stimuli, which were interleaved with intense vibratory conditioning stimuli during the adaptation period of each experimental run. From these measurements, the algorithm allowed us to infer changes in the afferents' sensitivity. We investigated the stimulus parameters that affect adaptation by assessing the degree to which adaptation depends on the amplitude and frequency of the adapting stimulus. For all three afferent types, I0 and I1 increased with increasing adaptation frequency and amplitude. The degree of adaptation seems to be independent of the firing rate evoked in the afferent by the conditioning stimulus. In the analysis, we distinguished between additive adaptation (in which I0 and I1 shift equally) and multiplicative effects (in which the ratio I1/I0 remains constant). RA threshold shifts are almost perfectly additive. SA1 threshold shifts are close to additive and far from multiplicative (I1 threshold shifts are twice the I0 shifts). PC shifts are more difficult to classify. We used an integrate-and-fire model to study the possible neural mechanisms. A change in transducer gain predicts a multiplicative change in I0 and I1 and is thus ruled out as a mechanism underlying SA1 and RA adaptation. A change in the resting action potential threshold predicts equal, additive change in I0 and I1 and thus accounts well for RA adaptation. A change in the degree of refractoriness during the relative refractory period predicts an additional change in I1 such as that observed for SA1 fibers. We infer that adaptation is caused by an increase in spiking thresholds produced by ion flow through transducer channels in the receptor membrane. In a companion paper, we describe the time-course of vibratory adaptation and recovery for SA1, RA, and PC fibers.

摘要

本研究的目的是探究超阈值延长振动刺激对慢适应1型(SA1)、快适应(RA)和帕西尼(PC)传入神经纤维敏感性的影响。为此,开发了一种算法来跟踪传入神经纤维的绝对阈值(I0)和夹带阈值(I1)随时间的变化。我们记录了对阈下振动测试刺激的传入反应,在每个实验周期的适应期内,这些刺激与强烈的振动条件刺激交替出现。通过这些测量,该算法使我们能够推断传入神经纤维敏感性的变化。我们通过评估适应程度对适应刺激的幅度和频率的依赖程度,研究了影响适应的刺激参数。对于所有三种传入神经纤维类型,I0和I1均随适应频率和幅度的增加而增加。适应程度似乎与条件刺激在传入神经纤维中诱发的放电频率无关。在分析中,我们区分了相加性适应(I0和I1同等程度地变化)和相乘性效应(I1/I0的比值保持恒定)。RA阈值变化几乎完全是相加性的。SA1阈值变化接近相加性,且远离相乘性(I1阈值变化是I0变化的两倍)。PC阈值变化更难分类。我们使用积分发放模型来研究可能的神经机制。换能器增益的变化预测I0和I1的相乘性变化,因此被排除作为SA1和RA适应的潜在机制。静息动作电位阈值的变化预测I0和I1同等程度的相加性变化,因此很好地解释了RA适应。相对不应期内不应性程度的变化预测I1会有额外变化,如在SA1纤维中观察到的那样。我们推断,适应是由受体膜中换能器通道离子流导致的动作电位阈值升高引起的。在一篇配套论文中,我们描述了SA1、RA和PC纤维的振动适应和恢复的时间进程。

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