Core A: Data Analysis Core

CORE A.数据分析 全身麻醉是一个迷人的人造，神经生理学现象，已开发 多年来的经验，以实现安全和人道的手术和非手术程序的性能。 具体来说，它是一种药物诱导的疾病，包括无意识、健忘、镇痛和不动， 沿着生理稳定性。在美国，每天有60，000名患者接受全身麻醉 关于麻醉剂在大脑中如何作用以产生麻醉状态的机制， 明白近年来，在麻醉剂作用的分子位点的表征方面取得了重大进展， 目标然而，在特定的分子靶点上的作用如何导致行为状态还不太清楚。 解决这个问题需要一个系统神经科学的方法来定义药物的作用，在特定的 分子靶点和神经回路导致全身麻醉的行为状态。在这个项目中， 名为“麻醉的集成系统神经科学研究”，我们将开发一个集成系统， 神经科学计划，包括人类，非人类灵长类动物，啮齿动物和建模研究的四个 麻醉剂：GABAA药物，丙泊酚和七氟烷; α-2肾上腺素能激动剂，右美托咪定; 和NMDA受体拮抗剂氯胺酮该计划项目还将包括一个数据分析核心， 协助进行数据分析和统计方法研究。具体目标 是为了了解麻醉剂在特定分子靶点和神经回路中的作用， 振荡动力学（EEG节律，LFP和神经尖峰活动的变化）可能是主要的 麻醉剂通过其产生改变的唤醒状态（镇静，幻觉， 无意识）。该中心的研究将产生大量的神经锋电位序列，EEG，局部场 潜力和行为数据。因此，数据分析核心将是该计划的中心项目。 在数据分析中心工作的研究人员将协助实验者进行数据分析， 帮助数据和算法编目。这些研究人员进行的分析将提供具体的 这将极大地促进建模研究的定量约束。数据分析核心研究 将在三个领域开发统计方法和信号处理算法，这些领域与 这些研究将记录的数据：多个神经锋电位序列的同时分析;动态 相位振幅调制分析;以及来自高密度EEG记录的源定位。这些 研究还将提供有关大脑神经生理学的基本新定量知识。 唤醒回路将与其他神经心理学问题的研究相关，如昏迷，疼痛，睡眠 和抑郁症信号处理算法和统计技术也可以应用于以下问题： 科学和工程领域。

CORE A. DATA ANALYSIS General anesthesia is a fascinating man-made, neurophysiological phenomenon that has been developed empirically over many years to enable safe and humane performance of surgical and non-surgical procedures. Specifically it is a drug-induced condition consisting of unconsciousness, amnesia, analgesia and immobility, along with physiological stability. General anesthesia is administered daily to 60,000 patients in the United States, the mechanisms for how anesthetics act in the brain to create the states of anesthesia are not well understood. Significant progress has been made recently in characterizing the molecular sites that anesthetics target. However, how actions at specific molecular targets lead to the behavioral states is less well understood. Addressing this issue requires a systems neuroscience approach to define how actions of the drugs at specific molecular targets and neural circuits lead to a behavioral state of general anesthesia. In this program project entitled, Integrated Systems Neuroscience Studies of Anesthesia, we will develop an integrated systems neuroscience program consisting of human, non-human primate, rodent and modeling studies of four anesthetics: the GABAA agents, propofol and sevoflurane; the alpha-2 adrenergic agonist, dexmedetomidine; and the NMDA receptor antagonist, ketamine. The program project will also include a DATA ANALYSIS CORE, which will provide assistant with data analysis and conduct research on statistical methods. The Specific Aims are to understand how the actions of the anesthetics at specific molecular targets and neural circuits produce the oscillatory dynamics (EEG rhythms, changes in LFPs and neural spiking activity) that are likely a primary common mechanism through which anesthetics create altered states of arousal (sedation, hallucination, unconsciousness). The research in this center will produce volumes of neural spike train, EEG, local field potential and behavioral data. Therefore, the DATA ANALYSIS CORE will be a central project in this program. Investigators working in the DATA ANALYSIS CORE will assist the experimentalist with their data analyses and help with data and algorithm cataloguing. The analyses conducted by these investigators will provide specific quantitative constrains that will greatly facilitate the modeling research. Research in the DATA ANALYSIS CORE will develop statistical methods and signal processing algorithms in three areas that are directly relevant to the data that will be recorded in these studies: simultaneous analysis of multiple neural spike trains; dynamic analysis of phase-amplitude modulation; and source localization from high-density EEG recordings. These studies will also provide fundamental new quantitative knowledge about the neurophysiology of the brain's arousal circuits that will be relevant to studies of other neuropsychological problems such as coma, pain, sleep and depression. The signal processing algorithms and statistical techniques can also be applied to problems in areas of science and engineering.