The Role of Inhibitory Mechanisms on Governing the Hippocampal Temporal Code
The Role of Inhibitory Mechanisms on Governing the Hippocampal Temporal Code
批准号:
7408742
负责人:
Omar Jamil Ahmed
金额:
$3.46万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-11-16 至 2010-08-15
关键词:
Alzheimer&aposs DiseaseCellsClinicalCodeComputer SimulationConditionDataDementiaEngineeringEnvironmentEpilepsyFire - disastersHippocampus (Brain)HumanHypoxiaIn VitroIndividualInhibitory SynapseInterneuronsLeadLearningMeasuresMemoryMemory impairmentMental DepressionModelingMotivationNeurologicOutputPatternPhasePropertyPyramidal CellsRateRattusRodentRoleSFN geneShapesSliceStrokeSynapsesTestingTimeTrainingWhole-Cell Recordingsc newextracellularhuman SFN proteinin vivonovelpostersrelating to nervous systemresearch studyresponsesynaptic depression
中文摘要
描述(由申请人提供):海马在学习和记忆中具有公认的作用(Scoville和米尔纳,1957; Squire,1992),并且海马损伤是由多种神经病症如阿尔茨海默病、癫痫和中风引起的记忆损伤的主要原因。海马体的体内电生理学研究揭示了一些显著的活动模式。具体地,啮齿动物和人类中的海马体细胞以空间选择性方式放电(O 'Keefe和Dostrovsky,1971; O' Keefe和Recce,1993; Ekstrom等人,2003年、2005年)。发射率(速率码)和尖峰定时(时间码)都包含有关空间环境的信息。然而,引起海马频率和时间代码的细胞和电路机制仍然没有很好地理解,并且对抑制如何塑造这些海马活动模式知之甚少。我将结合联合收割机在体内和体外实验与计算建模,以研究抑制机制的海马时间代码。利用这种理解,我们可以精确地确定电路的哪些特性对海马功能至关重要。这可以为我们指出治疗海马损伤引起的临床疾病的新靶点。相关性:人类海马体对学习和记忆很重要,但它容易受损:中风、痴呆(包括阿尔茨海默病)、癫痫和缺氧都可能导致海马体受损,以及随后的学习和记忆困难。通过了解海马体的神经密码,我们可以精确地确定它的哪些细胞和回路对学习和记忆至关重要。这可以为我们指出治疗海马损伤引起的问题的新靶点。
英文摘要
DESCRIPTION (provided by applicant): The hippocampus has a well established role in learning and memory (Scoville & Milner, 1957; Squire, 1992), and hippocampal damage is primarily responsible for the memory impairments resulting from a variety of neurological conditions such as Alzheimer's disease, epilepsy and stroke. In vivo electrophysiological studies of the hippocampus have revealed some salient activity patterns. Specifically, hippocampal cells in both rodents and humans fire in a spatially selective manner (O'Keefe and Dostrovsky, 1971; O'Keefe and Recce, 1993; Ekstrom et al., 2003, 2005). Both the firing-rate (rate code) and spike-timing (temporal code) contain information about the spatial environment. However, the cellular and circuit mechanisms that give rise to the hippocampal rate and temporal codes are still not well understood, and little is known about how inhibition shapes these hippocampal activity patterns. I will combine in vivo and in vitro experiments with computational modeling to investigate the inhibitory mechanisms governing the hippocampal temporal code. Using such an understanding, we can precisely pinpoint what properties of the circuit are crucial for hippocampal function. This can point us towards novel targets for treating clinical ailments resulting from hippocampal damage. Relevance: The human hippocampus is important for learning and memory but it is prone to damage: strokes, dementias (including Alzheimer's disease), epilepsies and hypoxia can all lead to hippocampal damage, and subsequent learning and memory difficulties. By understanding the neural code of the hippocampus we can precisely pinpoint which of its cells and circuits are crucial for learning and memory. This can point us towards novel targets for treating problems resulting from hippocampal damage.
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