MEASURES OF EEG CHAOS IN ALCOHOL RESEARCH

酒精研究中脑电图混乱的测量

• 批准号: 3113689
• 负责人: CINDY L EHLERS
• 金额: $ 10.09万
• 依托单位: SCRIPPS RESEARCH INSTITUTE, THE
• 依托单位国家: 美国
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-06-01 至 1996-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3113689
• 关键词: Asian Americans; Native Americans; alcoholic beverage consumption; alcoholism /alcohol abuse; analytical method; bioengineering /biomedical engineering; biomarker; biophysics; blood tests; brain electrical activity; caucasian American; disease /disorder proneness /risk; electroencephalography; ethanol; family genetics; human subject; male; mathematical model; method development; racial /ethnic difference; young adult human (21-34)

Recent advances in the field of nonlinear dynamics and "chaos" theory have provided new conceptual models as well as novel data analytical techniques applicable to the study of biological systems. These powerful models and analytical techniques are now available for use in studies aimed at evaluating the effects of alcohol on a host of biological systems, and may provide a new view of how alcohol affects brain function. In addition, specific new quantitative techniques that estimate nonlinear properties of systems may provide the means for identifying new biological measures of risk for the development of alcohol abuse and dependence. The series of investigations to be described have the overall goal of developing a theoretical framework based on nonlinear dynamics by which the actions of alcohol on the EEG can be studied. New EEG measurement techniques will be further developed which will assess data collected from human subjects prior to and following challenge with acute doses of ethanol and placebo. The populations to be studied include Caucasian and Native American subjects with alcoholic fathers who are at high risk for the development of alcoholism and their matched controls. We will also evaluate EEG data collected from Asian American subjects with ALDH2*2 alleles who are at very low risk for the development of alcohol dependence and abuse and their matched controls. In collaboration with our colleagues at Los Alamos National Laboratories, we will also attempt to develop predictive models using nonlinear techniques. While the studies described in this proposal will be utilizing EEG data as the primary variable, the development of these new techniques will also hasten the use of this technology in other biological systems relevant to the study of alcohol such as biochemical and behavioral assay variables.

非线性动力学和“混乱”理论领域的最新进展 提供了新的概念模型以及新的数据分析 适用于生物系统研究的技术。 这些强大的 现在可以在研究中使用模型和分析技术 旨在评估酒精对许多生物学的影响 系统，并可能提供有关酒精如何影响大脑的新看法 功能。 此外，特定的新定量技术 估计系统的非线性特性可能会为 确定开发风险的新生物学测量 酗酒和依赖。 一系列调查是 描述的总体目标是开发一个理论框架 基于非线性动力学，酒精对脑电图的作用 可以研究。 新的脑电图测量技术将进一步开发 它将评估从人类受试者中收集的数据和 急性剂量的乙醇和安慰剂挑战。 这 要研究的人群包括高加索和美国原住民受试者 与酗酒的父亲有高风险的发展 酒精中毒及其匹配的控件。 我们还将评估脑电图数据 从ALDH2*2等位基因的亚裔美国人收集 酒精依赖和滥用的发展风险非常低以及 他们匹配的控件。 与我们在Los的同事合作 阿拉莫斯国家实验室，我们还将尝试发展预测性 使用非线性技术的模型。 而研究中描述了 建议将利用脑电图数据作为主要变量， 这些新技术的开发也将加速使用 与酒精研究有关的其他生物系统中的技术 例如生化和行为测定变量。