Fosco Whitney D, White Corey N, Hawk Larry W
Department of Psychology, University at Buffalo, SUNY, Buffalo, NY, USA.
Department of Psychology, Syracuse University, Syracuse, NY, USA.
J Abnorm Child Psychol. 2017 Jul;45(5):911-920. doi: 10.1007/s10802-016-0222-0.
The current studies utilized drift diffusion modeling (DDM) to examine how reinforcement and stimulant medication affect cognitive task performance in children with ADHD. In Study 1, children with (n = 25; 88 % male) and without ADHD (n = 33; 82 % male) completed a 2-choice discrimination task at baseline (100 trials) and again a week later under alternating reinforcement and no-reinforcement contingencies (400 trials total). In Study 2, participants with ADHD (n = 29; 72 % male) completed a double-blind, placebo-controlled trial of 0.3 and 0.6 mg/kg methylphenidate and completed the same task utilized in Study 1 at baseline (100 trials). Children with ADHD accumulated information at a much slower rate than controls, as evidenced by a lower drift rate. Groups were similar in nondecision time and boundary separation. Both reinforcement and stimulant medication markedly improved drift rate in children with ADHD (ds = 0.70 and 0.95 for reinforcement and methylphenidate, respectively); both treatments also reduced boundary separation (ds = 0.70 and 0.39). Reinforcement, which emphasized speeded accuracy, reduced nondecision time (d = 0.37), whereas stimulant medication increased nondecision time (d = 0.38). These studies provide initial evidence that frontline treatments for ADHD primarily impact cognitive performance in youth with ADHD by improving the speed/efficiency of information accumulation. Treatment effects on other DDM parameters may vary between treatments or interact with task parameters (number of trials, task difficulty). DDM, in conjunction with other approaches, may be helpful in clarifying the specific cognitive processes that are disrupted in ADHD, as well as the basic mechanisms that underlie the efficacy of ADHD treatments.
目前的研究采用漂移扩散模型(DDM)来检验强化和刺激性药物如何影响多动症儿童的认知任务表现。在研究1中,患有多动症的儿童(n = 25;88%为男性)和未患多动症的儿童(n = 33;82%为男性)在基线时(100次试验)完成了一项二选一辨别任务,一周后在交替强化和无强化条件下再次完成该任务(共400次试验)。在研究2中,患有多动症的参与者(n = 29;72%为男性)完成了一项0.3和0.6mg/kg哌甲酯的双盲、安慰剂对照试验,并在基线时(100次试验)完成了与研究1相同的任务。多动症儿童积累信息的速度比对照组慢得多,较低的漂移率证明了这一点。各组在非决策时间和边界分离方面相似。强化和刺激性药物均显著提高了多动症儿童的漂移率(强化和哌甲酯的效应量分别为0.70和0.95);两种治疗方法还降低了边界分离(效应量分别为0.70和0.39)。强调速度准确性的强化减少了非决策时间(效应量为0.37),而刺激性药物增加了非决策时间(效应量为0.38)。这些研究提供了初步证据,表明多动症的一线治疗主要通过提高信息积累的速度/效率来影响多动症青少年的认知表现。治疗对其他DDM参数的影响可能因治疗方法而异,或与任务参数(试验次数、任务难度)相互作用。DDM与其他方法相结合,可能有助于阐明多动症中被破坏的特定认知过程,以及多动症治疗效果背后的基本机制。