Sylwan R P
Departamento de Psicologia e Educação, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brasil.
Braz J Med Biol Res. 2004 Jun;37(6):853-62. doi: 10.1590/s0100-879x2004000600011. Epub 2004 May 27.
To inhibit an ongoing flow of thoughts or actions has been largely considered to be a crucial executive function, and the stop-signal paradigm makes inhibitory control measurable. Stop-signal tasks usually combine two concurrent tasks, i.e., manual responses to a primary task (go-task) are occasionally countermanded by a stimulus which signals participants to inhibit their response in that trial (stop-task). Participants are always instructed not to wait for the stop-signal, since waiting strategies cause the response times to be unstable, invalidating the data. The aim of the present study was to experimentally control the strategies of waiting deliberately for the stop-signal in a stop-task by means of an algorithm that measured the variation in the reaction times to go-stimuli on-line, and displayed a warning legend urging participants to be faster when their reaction times were more than two standard deviations of the mean. Thirty-four university students performed a stop-task with go- and stop-stimuli, both of which were delivered in the visual modality and were lateralized within the visual field. The participants were divided into two groups (group A, without the algorithm, vs group B, with the algorithm). Group B exhibited lower variability of reaction times to go-stimuli, whereas no significant between-group differences were found in any of the measures of inhibitory control, showing that the algorithm succeeded in controlling the deliberate waiting strategies. Differences between deliberate and unintentional waiting strategies, and anxiety as a probable factor responsible for individual differences in deliberate waiting behavior, are discussed.
抑制持续的思维或行动流程在很大程度上被视为一项关键的执行功能,而停止信号范式使抑制控制变得可测量。停止信号任务通常结合两项并发任务,即对主要任务(执行任务)的手动反应偶尔会被一个刺激信号取消,该刺激信号指示参与者在该试验中抑制他们的反应(停止任务)。总是指示参与者不要等待停止信号,因为等待策略会导致反应时间不稳定,从而使数据无效。本研究的目的是通过一种算法来实验性地控制在停止任务中故意等待停止信号的策略,该算法在线测量对执行刺激的反应时间变化,并在参与者的反应时间超过平均值的两个标准差时显示一个警告图例,敦促他们加快速度。34名大学生执行了一个包含执行刺激和停止刺激的停止任务,这两种刺激均以视觉形式呈现,并在视野内进行了侧向化处理。参与者被分为两组(A组,无算法;B组,有算法)。B组对执行刺激的反应时间变异性较低,而在任何抑制控制测量中均未发现组间存在显著差异,这表明该算法成功地控制了故意等待策略。讨论了故意和非故意等待策略之间的差异,以及焦虑作为导致故意等待行为个体差异的一个可能因素。