Ehlers C L, Havstad J, Prichard D, Theiler J
Department of Neuropharmacology, The Scripps Research Institute, La Jolla, California 92037, USA.
J Neurosci. 1998 Sep 15;18(18):7474-86. doi: 10.1523/JNEUROSCI.18-18-07474.1998.
Recent theories of the effects of ethanol on the brain have focused on its direct actions on neuronal membrane proteins. However, neuromolecular mechanisms whereby ethanol produces its CNS effects in low doses typically used by social drinkers (e.g., 2-3 drinks, 10-25 mM, 0.05-0.125 gm/dl) remain less well understood. We propose the hypothesis that ethanol may act by introducing a level of randomness or "noise" in brain electrical activity. We investigated the hypothesis by applying a battery of tests originally developed for nonlinear time series analysis and chaos theory to EEG data collected from 32 men who had participated in an ethanol/placebo challenge protocol. Because nonlinearity is a prerequisite for chaos and because we can detect nonlinearity more reliably than chaos, we concentrated on a series of measures that quantitated different aspects of nonlinearity. For each of these measures the method of surrogate data was used to assess the significance of evidence for nonlinear structure. Significant nonlinear structure was found in the EEG as evidenced by the measures of time asymmetry, determinism, and redundancy. In addition, the evidence for nonlinear structure in the placebo condition was found to be significantly greater than that for ethanol. Nonlinear measures, but not spectral measures, were found to correlate with a subject's overall feeling of intoxication. These findings are consistent with the notion that ethanol may act by introducing a level of randomness in neuronal processing as assessed by EEG nonlinear structure.
近期关于乙醇对大脑影响的理论聚焦于其对神经元膜蛋白的直接作用。然而,对于社交饮酒者常用的低剂量乙醇(例如,2 - 3杯酒,10 - 25 mM,0.05 - 0.125 gm/dl)产生中枢神经系统效应的神经分子机制,人们仍了解较少。我们提出一个假说,即乙醇可能通过在脑电活动中引入一定程度的随机性或“噪声”来发挥作用。我们通过将最初为非线性时间序列分析和混沌理论开发的一系列测试应用于从32名参与乙醇/安慰剂挑战方案的男性收集的脑电图(EEG)数据,对该假说进行了研究。由于非线性是混沌的前提条件,并且我们能比检测混沌更可靠地检测到非线性,所以我们专注于一系列量化非线性不同方面的测量方法。对于这些测量方法中的每一种,均使用替代数据方法来评估非线性结构证据的显著性。脑电图显示出显著的非线性结构,时间不对称性、确定性和冗余性测量结果都证明了这一点。此外,发现安慰剂条件下的非线性结构证据明显多于乙醇条件下的。研究发现非线性测量结果(而非频谱测量结果)与受试者的整体醉酒感觉相关。这些发现与以下观点一致:通过脑电图非线性结构评估,乙醇可能通过在神经元处理过程中引入一定程度的随机性来发挥作用。