DEFECTING GENERALIZED SYNCHRONY OF CELLS IN HIPPOCAMPUS

海马体细胞的广义同步性缺陷

• 批准号: 2867670
• 负责人: THEODEN I NETOFF
• 金额: $ 1.5万
• 依托单位: GEORGE MASON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-03-11 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/2867670
• 关键词: brain electrical activity; cell cell interaction; cell population study; electroencephalography; glutamates; hippocampus; laboratory rat; microelectrodes; neurotransmitter antagonist; pyramidal cells; single cell analysis; voltage /patch clamp

Cells in the nervous system are often highly interconnected; however, their firing times are synchronized during certain events such as gamma oscillations and theta oscillations. During these oscillations, crosscorrelations can show synchronization of spike times. However, when the cells are not synchronized, it is our hypothesis that there may be more complex interactions, such as generalized synchrony, that cannot be detected using linear analysis (i.e. cross correlation). These interactions may give a much richer understanding of the interactions between cells. Currently, no technique exists to detect these complex interactions in neurons. We intend to record from two pyramidal cells in the hippocampus simultaneously with and without glutamate antagonists. The glutamate antagonists increases synchrony between cells. Analysis to detect nonlinear functional relations between the firing patterns of the cells will be applied to the time series. We will use a technique called mutual prediction. It has been used to show interactions between single cells and the population activity in the stimulated cat spinal cord that linear techniques could not detect. This work will also develop a new technique for detecting nonlinear interactions by comparing patterns of interspike intervals using unstable periodic orbits. If a functional relationship is found between the spontaneous firing pattern of two cells when they are spontaneously firing, these techniques will be used, in a collaboration with another laboratory, to analyze interactions between two cells in the olfactory bulb and how they are effected by different odorants.

神经系统中的细胞通常是高度互连的;然而， 它们的点火时间在某些事件期间同步 振荡和θ振荡。 在这些振荡期间， 互相关可以显示尖峰时间的同步。 然而，在这方面， 当细胞不同步时，我们的假设是， 更复杂的相互作用，如广义同步，不能 使用线性分析（即互相关）进行检测。 这些 相互作用可能会让我们更深入地了解 细胞之间。目前，没有技术存在来检测这些复杂的 神经元之间的相互作用 我们打算从两个锥体细胞记录 在海马体中同时存在和不存在谷氨酸 对手。 谷氨酸拮抗剂增加了 细胞 分析检测非线性函数之间的关系 细胞的激发模式将应用于时间序列。 我们 将使用一种叫做相互预测的技术。 它被用来展示 单细胞和群体活动之间的相互作用 刺激猫脊髓，线性技术无法检测。 这项工作也将发展一种新的技术，检测非线性 相互作用的比较模式的interspike间隔使用 不稳定周期轨道 如果发现函数关系， 两个细胞自发放电的模式 射击，这些技术将被使用，在与另一个合作， 实验室，以分析嗅觉中两个细胞之间的相互作用 以及它们如何受到不同气味的影响。