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运用扩散模型框架整合反应时和执行功能障碍。

Integrating impairments in reaction time and executive function using a diffusion model framework.

机构信息

ADHD Research Study, Oregon Health Sciences University, 3181 SW Sam Jackson Park Rd, Portland, OR 97239-9979, USA.

出版信息

J Abnorm Child Psychol. 2013 Jul;41(5):837-50. doi: 10.1007/s10802-013-9715-2.

Abstract

Using Ratcliff's diffusion model and ex-Gaussian decomposition, we directly evaluate the role individual differences in reaction time (RT) distribution components play in the prediction of inhibitory control and working memory (WM) capacity in children with and without ADHD. Children with (n = 91, [Formula: see text] age = 10.2 years, 67 % male) and without ADHD (n = 62, [Formula: see text] age = 10.6 years, 46 % male) completed four tasks of WM and a stop signal reaction time (SSRT) task. Children with ADHD had smaller WM capacities and less efficient inhibitory control. Diffusion model analyses revealed that children with ADHD had slower drift rates (v) and faster non-decision times (Ter), but there were no group differences in boundary separations (a). Similarly, using an ex-Gaussian approach, children with ADHD had larger τ values than non-ADHD controls, but did not differ in μ or σ distribution components. Drift rate mediated the association between ADHD status and performance on both inhibitory control and WM capacity. τ also mediated the ADHD-executive function impairment associations; however, models were a poorer fit to the data. Impaired performance on RT and executive functioning tasks has long been associated with childhood ADHD. Both are believed to be important cognitive mechanisms to the disorder. We demonstrate here that drift rate, or the speed at which information accumulates towards a decision, is able to explain both.

摘要

利用 Ratcliff 的扩散模型和外高斯分解,我们直接评估了个体反应时(RT)分布成分差异在预测 ADHD 儿童和非 ADHD 儿童抑制控制和工作记忆(WM)能力中的作用。患有 ADHD 的儿童(n=91,[Formula: see text]年龄=10.2 岁,67%为男性)和没有 ADHD 的儿童(n=62,[Formula: see text]年龄=10.6 岁,46%为男性)完成了四项 WM 任务和一个停止信号反应时(SSRT)任务。患有 ADHD 的儿童 WM 容量较小,抑制控制效率较低。扩散模型分析表明,患有 ADHD 的儿童的漂移率(v)较慢,非决策时间(Ter)较快,但组间边界分离(a)没有差异。同样,使用外高斯方法,患有 ADHD 的儿童的 τ 值大于非 ADHD 对照组,但 μ 和 σ 分布成分没有差异。漂移率介导了 ADHD 状态与抑制控制和 WM 能力表现之间的关联。τ 也介导了 ADHD 与执行功能障碍之间的关联;然而,模型对数据的拟合度较差。RT 和执行功能任务的表现受损长期以来一直与儿童 ADHD 有关。两者都被认为是该疾病的重要认知机制。我们在这里证明,漂移率,即信息朝着决策积累的速度,能够解释这两者。

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