Department of Psychology, University of Sheffield, Western Bank, Sheffield, United Kingdom.
J Neurophysiol. 2009 Oct;102(4):2498-513. doi: 10.1152/jn.00204.2009. Epub 2009 Aug 12.
To analyze properly the role of the cerebellum in classical conditioning of the eyeblink and nictitating membrane (NM) response, the control of conditioned response dynamics must be better understood. Previous studies have suggested that the control signal is linearly related to the CR as a result of recruitment within the accessory abducens motoneuron pool, which acts to linearize retractor bulbi muscle and NM response mechanics. Here we investigate possible recruitment mechanisms. Data came from simultaneous recordings of NM position and multiunit electromyographic (EMG) activity from the retractor bulbi muscle of rabbits during eyeblink conditioning, in which tone and periocular shock act as conditional and unconditional stimuli, respectively. Action potentials (spikes) were extracted and classified by amplitude. Firing rates of spikes with different amplitudes were analyzed with respect to NM response temporal profiles and total EMG spike firing rate. Four main regularities were revealed and quantified: 1) spike amplitude increased with response amplitude; 2) smaller spikes always appeared before larger spikes; 3) subsequent firing rates covaried for spikes of different amplitude, with smaller spikes always firing at higher rates than larger ones; and 4) firing-rate profiles were approximately Gaussian for all amplitudes. These regularities suggest that recruitment does take place in the retractor bulbi muscle during conditioned NM responses and that all motoneurons receive the same command signal (common-drive hypothesis). To test this hypothesis, a model of the motoneuron pool was constructed in which motoneurons had a range of intrinsic thresholds distributed exponentially, with threshold linearly related to EMG spike amplitude. Each neuron received the same input signal as required by the common-drive assumption. This simple model reproduced the main features of the data, suggesting that conditioned NM responses are controlled by a common-drive mechanism that enables simple commands to determine response topography in a linear fashion.
为了正确分析小脑在经典眨眼和瞬膜(NM)反应条件反射中的作用,必须更好地理解条件反射动力学的控制。以前的研究表明,由于辅助外展运动神经元池的募集,控制信号与 CR 呈线性相关,这有助于使眼轮匝肌和 NM 反应力学线性化。在这里,我们研究了可能的募集机制。数据来自兔子眨眼条件反射过程中 NM 位置和眼轮匝肌多单位肌电图(EMG)活动的同步记录,其中音调和眼周冲击分别作为条件和非条件刺激。提取动作电位(尖峰)并按幅度分类。不同幅度尖峰的放电率与 NM 反应时间曲线和总 EMG 尖峰放电率进行了分析。揭示并量化了四个主要规律:1)尖峰幅度随反应幅度增加;2)较小的尖峰总是出现在较大的尖峰之前;3)不同幅度的尖峰后续放电率呈协变关系,较小的尖峰总是以比较大的尖峰更高的频率放电;4)所有幅度的放电率曲线大致呈高斯分布。这些规律表明,在条件化 NM 反应期间,确实会发生眼轮匝肌的募集,并且所有运动神经元都接收到相同的命令信号(共同驱动假设)。为了验证这一假设,构建了一个运动神经元池模型,其中运动神经元具有指数分布的一系列固有阈值,阈值与 EMG 尖峰幅度呈线性相关。每个神经元都接收到共同驱动假设所要求的相同输入信号。这个简单的模型再现了数据的主要特征,表明条件化 NM 反应是由共同驱动机制控制的,该机制能够以线性方式用简单的命令来确定反应形态。