Chang E Y, Morris K F, Shannon R, Lindsey B G
Department of Physiology and Biophysics, University of South Florida Health Sciences Center, Tampa, Florida 33612-4799, USA.
J Neurophysiol. 2000 Sep;84(3):1136-48. doi: 10.1152/jn.2000.84.3.1136.
Many neurons exhibit spontaneous activity in the absence of any specific experimental perturbation. Patterns of distributed synchrony embedded in such activity have been detected in the brain stem, suggesting that it represents more than "baseline" firing rates subject only to being regulated up or down. This work tested the hypothesis that nonrandom sequences of impulses recur in baroresponsive respiratory-related brain stem neurons that are elements of correlational neuronal assemblies. In 15 Dial-urethan anesthetized vagotomized adult cats, neuronal impulses were monitored with microelectrode arrays in the ventral respiratory group, nucleus tractus solitarius, and medullary raphe nuclei. Efferent phrenic nerve activity was recorded. Spike trains were analyzed with cycle-triggered histograms and tested for respiratory-modulated firing rates. Baroreceptors were stimulated by unilateral pressure changes in the carotid sinus or occlusion of the descending aorta; changes in firing rates were assessed with peristimulus time and cumulative sum histograms. Cross-correlation analysis was used to test for nonrandom temporal relationships between spike trains. Favored patterns of interspike interval sequences were detected in 31 of 58 single spike trains; 18 of the neurons with significant sequences also had short-time scale correlations with other simultaneously recorded cells. The number of distributed patterns exceeded that expected under the null hypothesis in 12 of 14 data sets composed of 4-11 simultaneously recorded spike trains. The data support the hypothesis that baroresponsive brain stem neurons operate in transiently configured coordinated assemblies and suggest that single neuron patterns may be fragments of distributed impulse sequences. The results further encourage the search for coding functions of spike patterns in the respiratory network.
许多神经元在没有任何特定实验扰动的情况下会表现出自发活动。在脑干中已检测到这种活动中嵌入的分布式同步模式,这表明它所代表的不仅仅是仅受上调或下调调节的“基线”放电率。这项研究检验了以下假设:在作为相关神经元集合元素的压力感受性呼吸相关脑干神经元中,非随机的冲动序列会反复出现。在15只经氯醛糖麻醉并切断迷走神经的成年猫中,用微电极阵列监测腹侧呼吸组、孤束核和延髓中缝核的神经元冲动。记录膈传出神经活动。用周期触发直方图分析脉冲序列,并测试呼吸调节的放电率。通过单侧颈动脉窦压力变化或降主动脉闭塞刺激压力感受器;用刺激期间时间和累积和直方图评估放电率的变化。使用互相关分析来测试脉冲序列之间的非随机时间关系。在58个单脉冲序列中的31个中检测到了有利的峰峰间隔序列模式;18个具有显著序列的神经元也与其他同时记录的细胞具有短时间尺度的相关性。在由4 - 11个同时记录的脉冲序列组成的14个数据集中,有12个数据集的分布式模式数量超过了零假设下预期的数量。这些数据支持以下假设:压力感受性脑干神经元在瞬时配置的协调集合中起作用,并表明单个神经元模式可能是分布式冲动序列的片段。这些结果进一步鼓励在呼吸网络中寻找脉冲模式的编码功能。