Pitt County Memorial Hospital Department of Psychology, 2100 Stantonsburg Road, PO Box 6028, Greenville, NC 27835-6028, USA.
Int J Psychophysiol. 2011 Feb;79(2):175-83. doi: 10.1016/j.ijpsycho.2010.10.004. Epub 2010 Oct 16.
A computer-administered assessment for decision making relevant to daily-living decisions, using the technique of complex decision making (CDM), has been previously developed and tested in our laboratory. The present study sought to identify unique patterns of brain activity in the alpha band associated with CDM. We recorded electroencephalogram (EEG) from 30 scalp sites, during a series of baseline, eyes open fixation tasks, and CDM tasks, in different contexts, in a group of 9 male and 7 female young healthy adults, aged 18 to 34. The decision making contexts, designed to simulate real-world, daily-living decisions, were about taking a bus, choosing a friend, job, medication, and participating in research. Electroencephalograms (EEGs) were divided into the frequency bands, alpha, beta, delta, theta, and gamma, though the primary focus of this paper is the alpha band. Analysis of mean EEG power spectra across the alpha bands - alpha1 (8-10 Hz), alpha2 (10-12 Hz), and alpha 3 (12-14 Hz) - showed significant decreases from baseline to the CDM task. In addition, we observed significant increases in delta, theta, beta, and gamma. There were also significant bivariate correlations between EEG spectra, mostly in low and mid alpha bands, behavioral performance on the CDM task, and scores on standardized measures of executive functioning, including the Trail-making Test and the Wisconsin Card Sorting Task. These results demonstrate how brain activity in complex decision making is distributed across alpha frequency bands and electrode regions and this activity relates to executive functioning.
我们之前在实验室开发并测试了一种基于复杂决策技术(CDM)的计算机辅助日常决策评估。本研究旨在识别与 CDM 相关的独特的 alpha 频段脑活动模式。我们记录了 30 个头皮部位的脑电图(EEG),在一组 9 名男性和 7 名女性年龄在 18 至 34 岁的健康年轻成年人中,在不同的背景下进行了一系列基线、睁眼固定任务和 CDM 任务。这些决策背景旨在模拟现实生活中的日常决策,例如乘坐公共汽车、选择朋友、工作、药物治疗和参与研究。脑电图(EEG)被分为 alpha、beta、delta、theta 和 gamma 等频段,尽管本文的主要重点是 alpha 频段。对 alpha1(8-10Hz)、alpha2(10-12Hz)和 alpha3(12-14Hz)频段的平均 EEG 功率谱进行分析,结果显示从基线到 CDM 任务,alpha 频段的脑电活动明显减少。此外,我们观察到 delta、theta、beta 和 gamma 频段的脑电活动显著增加。在 EEG 谱和 CDM 任务的行为表现以及执行功能的标准化测量(包括连线测试和威斯康星卡片分类测试)的得分之间,也存在显著的双变量相关性。这些结果表明,复杂决策中的大脑活动如何分布在 alpha 频段和电极区域,并且这种活动与执行功能相关。