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首页> 外文期刊>Frontiers in Computational Neuroscience >Markovian Analysis of the Sequential Behavior of the Spontaneous Spinal Cord Dorsum Potentials Induced by Acute Nociceptive Stimulation in the Anesthetized Cat
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Markovian Analysis of the Sequential Behavior of the Spontaneous Spinal Cord Dorsum Potentials Induced by Acute Nociceptive Stimulation in the Anesthetized Cat

机译:麻醉猫急性脊髓纤维刺激诱导的自发脊髓背体电位的顺序行为的Markovian分析

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摘要

In a previous study we developed a Machine Learning procedure for the automatic identification and classification of spontaneous cord dorsum potentials ( CDPs ). This study further supported the proposal that in the anesthetized cat, the spontaneous CDPs recorded from different lumbar spinal segments are generated by a distributed network of dorsal horn neurons with structured (non-random) patterns of functional connectivity and that these configurations can be changed to other non-random and stable configurations after the noceptive stimulation produced by the intradermic injection of capsaicin in the anesthetized cat. Here we present a study showing that the sequence of identified forms of the spontaneous CDPs follows a Markov chain of at least order one. That is, the system has memory in the sense that the spontaneous activation of dorsal horn neuronal ensembles producing the CDPs is not independent of the most recent activity. We used this markovian property to build a procedure to identify portions of signals as belonging to a specific functional state of connectivity among the neuronal networks involved in the generation of the CDPs . We have tested this procedure during acute nociceptive stimulation produced by the intradermic injection of capsaicin in intact as well as spinalized preparations. Altogether, our results indicate that CDP sequences cannot be generated by a renewal stochastic process. Moreover, it is possible to describe some functional features of activity in the cord dorsum by modeling the CDP sequences as generated by a Markov order one stochastic process. Finally, these Markov models make possible to determine the functional state which produced a CDP sequence. The proposed identification procedures appear to be useful for the analysis of the sequential behavior of the ongoing CDPs recorded from different spinal segments in response to a variety of experimental procedures including the changes produced by acute nociceptive stimulation. They are envisaged as a useful tool to examine alterations of the patterns of functional connectivity between dorsal horn neurons under normal and different pathological conditions, an issue of potential clinical concern.
机译:在以前的研究中,我们开发了一种机器学习程序,用于自动识别和分类自发绳索潜力(CDPS)。本研究进一步支持该提议,即在麻醉的猫中,由不同腰椎段记录的自发CDP由具有结构化(非随机)模式的多圈神经元的分布式网络产生,并且这些配置可以改变为在麻醉的猫体中辣椒素内注射辣椒素产生后的其他非随机和稳定配置。在这里,我们提出了一项研究表明,自发CDP的鉴定形式的序列遵循至少订单的马尔可夫链。也就是说,系统的内存是一种感觉,即产生CDP的背喇叭神经元合奏的自发激活并不与最近的活动无关。我们使用了这个Markovian属性来构建一个过程,以识别所涉及CDPS的神经元网络中的特定功能状态的信号部分。我们在急性伤害刺激期间测试了该程序,通过皮内注射辣椒素,完整的辣椒素和脊髓化制剂产生。完全,我们的结果表明CDP序列不能通过续订随机过程产生。此外,可以通过根据Markov订单一个随机过程产生的CDP序列来描述帘线背部中的活动的一些功能特征。最后,这些马尔可夫模型可以确定产生产生CDP序列的功能状态。所提出的鉴定程序似乎有助于分析来自不同脊髓段记录的正在进行的CDP的顺序行为,以应对各种实验程序,包括急性伤害刺激产生的变化。他们被设想为一个有用的工具,用于检查正常和不同病理条件下背角神经元的功能连通性模式的改变,潜在的临床关注。

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