Imaging Local Network Activity in Vivo

对 Vivo 中的本地网络活动进行成像

• 批准号: 6893279
• 负责人: GYORGY BUZSAKI
• 金额: $ 29.55万
• 依托单位: RUTGERS THE STATE UNIV OF NJ NEWARK
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-05-01 至 2007-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6893279
• 关键词: REM sleep; action potentials; brain electrical activity; brain mapping; computational neuroscience; dentate gyrus; electrical measurement; electrodes; electrophysiology; entorhinal cortex; evoked potentials; extracellular; granule cell; hippocampus; laboratory rat; neural information processing; neuroanatomy; neuroimaging; neurons; oscillography; pyramidal cells; sensorimotor system; synapses; temporal lobe /cortex

Understanding the computational rules of the brain requires studying neuronal activity at the network (submillimeter) level. This is the domain where emerging properties of neuronal interactions can be quantitatively measured and models testing the biologically based hypotheses can be developed. Direct investigation of the temporal dynamics of neuronal populations can only be based on simultaneous observation of many individual neurons in the intact animal. These network dynamics give rise to coherent local field potentials which may provide an insight into the mechanism of neuronal interactions, a major goal of this proposal is to develop a high temporal resolution method for imaging of neuron- generated local fields together with simultaneous recording of single neuron activity in large neuronal ensembles in the behaving animal. Specifically, we will develop procedures (a) for mapping of extracellular field activity onto the real structure of the hippocampal formation in the intact rat brain and (b) fo recording large number of isolated cells and local field in a small volume of brain tissue. The proposed goals will be achieved by using high-density silicon probes and developing automatic unit clustering algorithms. These tools will allow us to investigate the cellular-synaptic generation of hippocampal theta and gamma oscillation in various hippocampal subregions and to examine how oscillations bind and segregate neuronal assemblies in the hippocampus. The electric field-unit imaging methods developed and tested in the hippocampus can be applied for other cortical and subcortical structures.

了解大脑的计算规则需要研究网络（亚毫升）水平的神经元活动。这是可以定量测量神经元相互作用的新兴特性，并可以开发基于生物学的假设的模型。直接研究神经元种群的时间动力学只能基于对完整动物中许多单个神经元的同时观察。这些网络动力学产生了连贯的局部田间电位，这可能会深入了解神经元相互作用的机制，该提案的主要目标是开发一种高时间分辨率方法，用于对神经元产生的局部领域进行成像，并同时记录在大型神经元中，在大型神经元中，在大型神经元中，在行为表现动物中。具体而言，我们将开发（a）将细胞外场活性映射到完整大鼠脑中海马形成的真实结构上，以及（b）在少量大脑组织中记录大量的分离细胞和局部场。提出的目标将通过使用高密度硅探针和开发自动单位聚类算法来实现。这些工具将使我们能够研究各种海马子区域的海马theta和γ振荡的细胞突触产生，并检查振荡如何在海马中结合和隔离神经元组件。在海马中开发和测试的电场单位成像方法可用于其他皮质和皮层下结构。