LATERAL GENICULATE-NUCLEUS UNITARY DISCHARGE IN SLEEP AND WAKING - STATE-SPECIFIC AND RATE-SPECIFIC ASPECTS
LATERAL GENICULATE-NUCLEUS UNITARY DISCHARGE IN SLEEP AND WAKING - STATE-SPECIFIC AND RATE-SPECIFIC ASPECTS
复制标题
DOI：
10.1152/jn.1983.50.4.798
复制
发表时间：
1983-01-01
影响因子：
2.5
通讯作者：
BARRIONUEVO, G
中科院分区：
文献类型：
--
作者：
MCCARLEY, RW;BENOIT, O;BARRIONUEVO, G
研究人员对黑暗中猫在清醒 (W)、同步睡眠 (S) 和去同步睡眠 (D) 期间记录的 26 个外侧膝状核 (LGN) 单位的行为状态、放电模式和放电率之间的关系进行了研究。一种独特的状态依赖性放电模式是 63% 的单元中出现 2-7 个尖峰的刻板爆发。这些爆发在 S 中最频繁，在 D 中频率要低得多，并且在 W 中很少发生。与状态之间的放电率变化缺乏关联表明爆发是真正的状态相关现象。一次突发由 2-7 个尖峰组成，每个连续的尖峰间隔都比前一个长；在爆发发生前200 ms，放电概率显着下降。这种爆发组织结构提出了一种生成模型，其中每次爆发都是由不同强度的单一事件引起的，可能是超极化后的反弹。频谱和自相关分析显示，3 个细胞中的爆发以 3-4 Hz 的频率有节奏地发生，2 个细胞中的频率为 10-12 Hz，这表明可能与慢波发生器存在联系。虽然各种行为状态下的爆发次数是状态相关的现象，但放电模式的其他方面被证明是速率相关的。为了评估除了爆发发生之外的放电模式，形成了主要事件尖峰序列；这由单独的尖峰和每次爆发的第一个尖峰组成。在S内，当初级尖峰率较低时，爆发发生的概率最高。定量分析表明，一阶模式测量（峰间间隔直方图的形式，IH）取决于平均峰间间隔（ISI，平均速率的倒数）。这种关联解释了 IH 形式的幂级数近似中 83-89% 的方差。联合间隔直方图（JIH）用于评估爆发的特征和主要尖峰序列的形式。与间隔直方图一样，初级尖峰 JIH 形式的主要特征取决于初级尖峰速率。主要事件的一阶和二阶放电模式与速率相关，而不与状态相关。该数据与模型兼容，在该模型中，在没有视网膜输入的情况下，行为状态变化中 LGN 初级尖峰的频率很大程度上取决于脑干网状结构输入。放电模式的一阶和二阶测量由该输入确定，其强直水平主要由中脑网状结构（MRF）决定。当 MRF 输入下降到允许 LGN 链接到丘脑内和丘脑皮层电路以产生突发模式时，状态相关的突发模式就会发生。
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 3 cells at a frequency of 3-4 Hz and in 2 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. Within S, the probability of burst occurrence was highest when the primary spike rate was low. Quantitative analyses showed that 1st-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. First- and 2nd-order discharge patterns of primary events are rate dependent and not state dependent. The data is 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. First- and 2nd-order measures of discharge patterns are determined by this input, whose tonic level is largely set by the mesencephalic reticular formation (MRF). A state-dependent bursting pattern occurs when MRF input falls to a point where LGN links to intrathalamic and thalamocortical circuits are permitted to produce a bursting pattern.