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 全身麻醉是一种引人入胜的人造神经生理现象，已经开发 从经验上讲，多年来，可以实现手术和非手术程序的安全和人道的表现。 具体而言，它是一种药物引起的疾病，包括无意识，健忘症，镇痛和不动， 以及生理稳定性。每天对联合的60,000名患者进行全身麻醉 国家，麻醉药在大脑中如何创建麻醉状态的机制不好 理解。最近在表征麻醉的分子位点方面取得了重大进展 目标。但是，特定分子靶标的行动如何导致行为状态的理解较少。 解决此问题需要采用系统神经科学方法来定义药物在特定方面的作用 分子靶标和神经回路导致全身麻醉的行为状态。在这个程序项目中 我们将开发一个集成系统的题为“综合系统神经科学研究” 神经科学计划由人类，非人类灵长类动物，啮齿动物和建模研究组成 麻醉药：Gabaa特工，丙泊酚和七氟烷； Alpha-2肾上腺素激动剂，右美托咪定； NMDA受体拮抗剂氯胺酮。程序项目还将包括数据分析核心， 这将为助手提供数据分析并进行统计方法研究。具体目标 要了解麻醉药在特定分子靶标和神经回路上的作用如何产生 振荡动力学（EEG节奏，LFP的变化和神经尖峰活动）可能是主要的 麻醉剂会产生改变唤醒状态的常见机制（镇静，幻觉， 无意识）。该中心的研究将产生大量的神经尖峰火车，脑电图，本地领域 潜在和行为数据。因此，数据分析核心将是该程序中的一个中心项目。 在数据分析核心中工作的研究人员将帮助实验者进行数据分析，并 帮助数据和算法编目。这些研究者进行的分析将提供特定的 定量约束将极大地促进建模研究。数据分析中的研究核心 将在三个领域中开发统计方法和信号处理算法 这些研究将记录的数据：对多个神经尖峰列车的同时分析；动态的 分析相位振幅调制；并从高密度脑电图记录中源定位。这些 研究还将提供有关大脑神经生理学的基本定量知识 与其他神经心理问题有关的唤醒电路，例如昏迷，疼痛，睡眠 和抑郁。信号处理算法和统计技术也可以应用于问题 科学与工程领域。