Effects of Age and Acute Moderate Alcohol Administration on Neurophysiology During Simulated Driving.

ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH(2016)

引用 12|浏览13
暂无评分
摘要
BackgroundDriver age and blood alcohol concentration are both important factors in predicting driving risk; however, little is known regarding the joint import of these factors on neural activity following socially relevant alcohol doses. We examined age and alcohol effects on brain oscillations during simulated driving, focusing on 2 region-specific frequency bands implicated in task performance and attention: parietal alpha power (PAP; 8 to 12Hz) and frontal theta power (FTP; 4 to 7Hz). MethodsParticipants included 80 younger (aged 25 to 35years) and 40 older (aged 55 to 70years) community-dwelling, moderate drinkers. Participants consumed placebo, low, or moderate doses of alcohol designed to achieve target peak breath alcohol concentrations of 0, 0.04, or 0.065g/dl, respectively. Electrophysiological measures were recorded during engagement in a simulated driving task involving 4 scenarios of varied environmental complexity. ResultsA main effect of age was detected in FTP, but neither an alcohol effect nor interactions were observed. For PAP, an age-by-alcohol interaction was detected. Relative to placebo controls, older and younger participants receiving low-dose (0.04g/dl) alcohol evinced divergent PAP alterations, with a pattern of higher power among older participants and lower power among younger participants. This interaction was noted across the varied environmental contexts. ConclusionsThese findings are consistent with the hypothesis that compared with younger individuals, older drivers may be differentially susceptible to alcohol effects. While these age-by-alcohol interactions in neural activity are provocative, further investigation exploring the mechanisms and behavioral correlates of these effects will be crucial in determining their behavioral impact.
更多
查看译文
关键词
Alcohol,Aging,Electroencephalographic,Driving,Spectral Power
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要