McCarley R W, Benoit O, Barrionuevo G
J Neurophysiol. 1983 Oct;50(4):798-818. doi: 10.1152/jn.1983.50.4.798.
The relationship between behavioral state, discharge pattern, and discharge rate was investigated in 26 lateral geniculate nucleus (LGN) units recorded in cats in the dark during waking (W), synchronized sleep (S), and desynchronized sleep (D). A distinctive state-dependent discharge pattern was the presence of stereotyped bursts of 2-7 spikes that occurred in 63% of the units. These bursts were most frequent in S, much less frequent in D, and rarely occurred in W. Lack of association with discharge rate changes between states showed the bursting to be a true state-dependent phenomenon. A burst consisted of 2-7 spikes, with each successive interspike interval being longer than the preceding one; in the 200 ms prior to burst occurrence, discharge probability decreased markedly. This structure of burst organization suggested a model of generation wherein each burst was caused by a unitary event of varying intensity, perhaps a rebound following a hyperpolarization. Spectral and autocorrelational analyses showed bursts occurred rhythmically in three cells at a frequency of 3-4 Hz and in two cells at a frequency of 10-12 Hz, indicating a possible linkage with slow-wave generators. While the number of bursts in the various behavioral states was a state-dependent phenomena, other aspects of discharge pattern were shown to be rate dependent. To evaluate discharge pattern apart from the occurrence of bursts, a "primary event spike train" was formed; this consisted of individual spikes and the first spike of each burst. This analysis showed that, within S, the probability of burst occurrence was highest when the primary spike rate was low. Quantitative analyses showed that first-order pattern measures (the form of the interspike interval histogram, IH) were dependent on the mean interspike interval (ISI, the inverse of mean rate). This association explained 83-89% of the variance in a power series approximation of IH form. Joint interval histograms (JIH) were used to evaluate the signature of bursts and of the form of the primary spike train. As with interval histograms, the main features of the form of the primary spike JIH were dependent on the primary spike rate. Thus, we concluded that first- and second-order discharge patterns of primary events were rate dependent and not state dependent. Our data are compatible with a model where in the absence of retinal input, the frequency of LGN primary spikes over behavioral state changes is largely determined by brain stem reticular formation input.(ABSTRACT TRUNCATED AT 400 WORDS)
在清醒(W)、同步睡眠(S)和去同步睡眠(D)状态下,于黑暗环境中对猫的26个外侧膝状体(LGN)神经元进行记录,研究行为状态、放电模式和放电频率之间的关系。一种独特的状态依赖性放电模式是63%的神经元出现2 - 7个尖峰的刻板爆发。这些爆发在S期最为频繁,在D期频率低得多,在W期很少发生。不同状态间与放电频率变化缺乏关联表明爆发是一种真正的状态依赖性现象。一次爆发由2 - 7个尖峰组成,每个连续的峰峰间隔都比前一个长;在爆发发生前的200毫秒内,放电概率显著降低。这种爆发组织结构提示了一种产生模型,即每次爆发由强度不同的单一事件引起,可能是超极化后的反弹。频谱和自相关分析表明,三个细胞中的爆发以3 - 4赫兹的频率有节奏地发生,两个细胞中的爆发以10 - 12赫兹的频率有节奏地发生,这表明可能与慢波发生器有关联。虽然不同行为状态下爆发的数量是一种状态依赖性现象,但放电模式的其他方面显示为频率依赖性。为了评估除爆发之外的放电模式,构建了一个“主要事件尖峰序列”;它由单个尖峰和每次爆发的第一个尖峰组成。该分析表明,在S期内,当主要尖峰频率较低时,爆发发生的概率最高。定量分析表明,一阶模式测量(峰峰间隔直方图的形式,IH)取决于平均峰峰间隔(ISI,平均频率的倒数)。这种关联在IH形式的幂级数近似中解释了83 - 89%的方差。联合间隔直方图(JIH)用于评估爆发特征和主要尖峰序列的形式。与间隔直方图一样,主要尖峰JIH形式的主要特征取决于主要尖峰频率。因此,我们得出结论,主要事件的一阶和二阶放电模式是频率依赖性而非状态依赖性。我们的数据与一个模型相符,即在没有视网膜输入的情况下,行为状态变化时LGN主要尖峰的频率很大程度上由脑干网状结构输入决定。(摘要截选至400字)