Wang Chao, Ding Mingzhou, Kluger Benzi M
J Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States.
Departments of Neurology and Psychiatry, University of Colorado Denver, Aurora, CO, United States.
Brain Cogn. 2014 Mar;85:251-8. doi: 10.1016/j.bandc.2014.01.004. Epub 2014 Jan 30.
Cognitive fatigability is conventionally quantified as the increase over time in either mean reaction time (RT) or error rate from two or more time periods during sustained performance of a prolonged cognitive task. There is evidence indicating that these mean performance measures may not sufficiently reflect the response characteristics of cognitive fatigue. We hypothesized that changes in intraindividual variability over time would be a more sensitive and ecologically meaningful metric for investigations of fatigability of cognitive performance. To test the hypothesis fifteen young adults were recruited. Trait fatigue perceptions in various domains were assessed with the Multidimensional Fatigue Index (MFI). Behavioral data were then recorded during performance of a three-hour continuous cued Stroop task. Results showed that intraindividual variability, as quantified by the coefficient of variation of RT, increased linearly over the course of three hours and demonstrated a significantly greater effect size than mean RT or accuracy. Change in intraindividual RT variability over time was significantly correlated with relevant subscores of the MFI including reduced activity, reduced motivation and mental fatigue. While change in mean RT over time was also correlated with reduced motivation and mental fatigue, these correlations were significantly smaller than those associated with intraindividual RT variability. RT distribution analysis using an ex-Gaussian model further revealed that change in intraindividual variability over time reflects an increase in the exponential component of variance and may reflect attentional lapses or other breakdowns in cognitive control. These results suggest that intraindividual variability and its change over time provide important metrics for measuring cognitive fatigability and may prove useful for inferring the underlying neuronal mechanisms of both perceptions of fatigue and objective changes in performance.
认知疲劳通常被量化为在长时间认知任务的持续执行过程中,两个或多个时间段内平均反应时间(RT)或错误率随时间的增加。有证据表明,这些平均表现指标可能无法充分反映认知疲劳的反应特征。我们假设,个体内部变异性随时间的变化将是一种更敏感且具有生态学意义的指标,用于研究认知表现的疲劳性。为了验证这一假设,招募了15名年轻成年人。使用多维疲劳指数(MFI)评估了各个领域的特质疲劳感知。然后在执行三小时连续提示的Stroop任务期间记录行为数据。结果表明,以RT变异系数量化的个体内部变异性在三小时内呈线性增加,并且与平均RT或准确性相比,具有显著更大的效应量。个体内部RT变异性随时间的变化与MFI的相关子分数显著相关,包括活动减少、动机降低和精神疲劳。虽然平均RT随时间的变化也与动机降低和精神疲劳相关,但这些相关性明显小于与个体内部RT变异性相关的相关性。使用前高斯模型的RT分布分析进一步表明,个体内部变异性随时间的变化反映了方差指数成分的增加,可能反映了注意力不集中或认知控制中的其他故障。这些结果表明,个体内部变异性及其随时间的变化为测量认知疲劳提供了重要指标,并且可能有助于推断疲劳感知和表现客观变化的潜在神经元机制。