Core A: Data Analysis Core

核心A：数据分析核心

• 批准号: 10093068
• 负责人: EMERY N BROWN
• 金额: $ 36.51万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-02-10 至 2024-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10093068
• 关键词: Absence of pain sensation; Address; Adrenergic Agonists; Algorithmic Analysis; Algorithms; Amnesia; Anesthesia procedures; Anesthetics; Area; Arousal; Behavioral; Brain; Cataloging; Coma; Data; Data Analyses; Dexmedetomidine; Electrocorticogram; Electroencephalogram; Electroencephalography; Engineering; General Anesthesia; Hallucinations; Human; Ketamine; Knowledge; Lead; Mental Depression; Methods; Modeling; Molecular Target; Multivariate Analysis; NMDA receptor antagonist; Neuropsychology; Neurosciences; Operative Surgical Procedures; Pain; Patients; Performance; Pharmaceutical Preparations; Phase; Physiological; Propofol; Research; Research Personnel; Rodent Model; Science; Sedation procedure; Sleep; Statistical Data Interpretation; Statistical Methods; Study models; System; Techniques; Training; Unconscious State; United States; behavior measurement; density; drug action; fascinate; man; molecular site; neural circuit; neurophysiology; nonhuman primate; programs; relating to nervous system; sevoflurane; signal processing; source localization

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.

核心 A. 数据分析 全身麻醉是一种令人着迷的人造神经生理学现象 多年来根据经验，确保外科和非外科手术的安全和人道执行。 具体来说，它是一种由药物引起的病症，包括意识不清、健忘、痛觉缺失和不动， 以及生理稳定性。美国每天有 60,000 名患者接受全身麻醉 状态，麻醉剂如何在大脑中作用以产生麻醉状态的机制尚不清楚 明白了。最近在表征麻醉剂的分子位点方面取得了重大进展 目标。然而，对特定分子靶标的作用如何导致行为状态尚不清楚。 解决这个问题需要一种系统神经科学方法来定义药物在特定情况下的作用 分子靶标和神经回路导致全身麻醉的行为状态。在本次计划项目中 题为“麻醉的综合系统神经科学研究”，我们将开发一个综合系统 神经科学项目，包括人类、非人类灵长类动物、啮齿动物和四种动物的建模研究 麻醉剂：GABAA剂、丙泊酚和七氟醚； α-2肾上腺素能激动剂，右美托咪定； 以及 NMDA 受体拮抗剂氯胺酮。该计划项目还将包括数据分析核心， 它将提供数据分析的协助并进行统计方法的研究。具体目标 是为了了解麻醉剂对特定分子靶点和神经回路的作用如何产生 振荡动力学（EEG 节律、LFP 的变化和神经尖峰活动）可能是主要的 麻醉剂产生改变的唤醒状态的常见机制（镇静、幻觉、 失去知觉）。该中心的研究将产生大量神经尖峰序列、脑电图、局部场 潜力和行为数据。因此，数据分析核心将是该计划的核心项目。 数据分析核心的研究人员将协助实验人员进行数据分析和 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 定量约束将极大地促进建模研究。数据分析核心研究 将在与直接相关的三个领域开发统计方法和信号处理算法 这些研究中将记录的数据：多个神经尖峰序列的同时分析；动态的 相位幅度调制分析；以及高密度脑电图记录的源定位。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 与昏迷、疼痛、睡眠等其他神经心理学问题的研究相关的唤醒回路 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。