Grange James A, Stephens Richard, Jones Kate, Owen Lauren
Keele University, Keele, UK
Keele University, Keele, UK.
J Psychopharmacol. 2016 Jul;30(7):654-61. doi: 10.1177/0269881116645299. Epub 2016 May 10.
The effect of alcohol hangover on cognitive processing has received little attention. We explored the effect of alcohol hangover on choice response time (RT), a dominant dependent variable (DV) in cognitive research. Prior research of the effect of hangover on RT has produced mixed findings; all studies reviewed relied exclusively on estimates of central tendency (e.g. mean RT), which has limited information value. Here we present novel analytical methods by going beyond mean RT analysis. Specifically, we examined performance in hangover conditions (n=31) across the whole RT distribution by fitting ex-Gaussian models to participant data, providing a formal description of the RT distribution. This analysis showed detriments to performance under hangover conditions at the slower end of the RT distribution and increased RT variance under hangover conditions. We also fitted an explicit mathematical process model of choice RT - the diffusion model - which estimates parameters reflecting psychologically-meaningful processes underlying choice RT. This analysis showed that hangover reduced information processing efficiency during response selection, and increased response caution; changes in these parameters reflect hangover affecting core decisional-components of RT performance. The implications of the data as well as the methods used for hangover research are discussed.
酒精宿醉对认知加工的影响很少受到关注。我们探究了酒精宿醉对选择反应时(RT)的影响,选择反应时是认知研究中一个主要的因变量(DV)。先前关于宿醉对反应时影响的研究结果不一;所有被综述的研究都仅依赖于集中趋势估计(如平均反应时),其信息价值有限。在此,我们通过超越平均反应时分析提出了新的分析方法。具体而言,我们通过将前高斯模型拟合到参与者数据,考察了宿醉状态下(n = 31)整个反应时分布的表现,从而对反应时分布进行了形式化描述。该分析表明,在宿醉状态下,反应时分布较慢一端的表现受损,且宿醉状态下反应时方差增加。我们还拟合了一个明确的选择反应时数学过程模型——扩散模型,该模型估计反映选择反应时背后具有心理意义过程的参数。该分析表明,宿醉会降低反应选择过程中的信息处理效率,并增加反应谨慎性;这些参数的变化反映了宿醉对反应时表现的核心决策成分的影响。我们讨论了这些数据以及用于宿醉研究的方法的意义。