Division of Cognitive and Neuropsychology, Institute of Behavioural Sciences, University of Helsinki, P.O. Box 9, Siltavuorenpenger 1, FIN-00014, Helsinki, Finland,
Ann Dyslexia. 2014 Apr;64(1):1-33. doi: 10.1007/s11881-013-0083-y. Epub 2013 Oct 26.
In this study of the project DyAdd, implicit learning was investigated through two paradigms in adults (18-55 years) with dyslexia (n = 36) or with attention deficit/hyperactivity disorder (ADHD, n = 22) and in controls (n = 35). In the serial reaction time (SRT) task, there were no group differences in learning. However, those with ADHD exhibited faster RTs compared to other groups. In the artificial grammar learning (AGL) task, the groups did not differ from each other in their learning (i.e., grammaticality accuracy or similarity choices). Further, all three groups were sensitive to fragment overlap between learning and test-phase items (i.e., similarity choices were above chance). Grammaticality performance of control participants was above chance, but that of participants with dyslexia and participants with ADHD failed to differ from chance, indicating impaired grammaticality learning in these groups. While the main indices of AGL performance, grammaticality accuracy and similarity choices did not correlate with the neuropsychological variables that reflected dyslexia-related (phonological processing, reading, spelling, arithmetic) or ADHD-related characteristics (executive functions, attention), or intelligence, the explicit knowledge for the AGL grammar (i.e., ability to freely generate grammatical strings) correlated positively with the variables of phonological processing and reading. Further, SRT reaction times correlated positively with full scale intelligence quotient (FIQ). We conclude that, in AGL, learning difficulties of the underlying rule structure (as measured by grammaticality) are associated with dyslexia and ADHD. However, learning in AGL is not related to the defining neuropsychological features of dyslexia or ADHD. Instead, the resulting explicit knowledge relates to characteristics of dyslexia.
在 DyAdd 项目的这项研究中,通过两个范式在患有阅读障碍(n = 36)或注意力缺陷多动障碍(ADHD,n = 22)的成年人(18-55 岁)和对照组(n = 35)中研究了内隐学习。在序列反应时间(SRT)任务中,学习方面各组之间没有差异。然而,ADHD 组的反应时间比其他组更快。在人工语法学习(AGL)任务中,各组在学习方面(即语法准确性或相似性选择)没有差异。此外,所有三组对学习和测试阶段项目之间的片段重叠都很敏感(即相似性选择高于机会)。控制参与者的语法表现高于机会,但阅读障碍参与者和 ADHD 参与者的语法表现未能高于机会,表明这些组的语法学习受损。虽然 AGL 表现的主要指标,语法准确性和相似性选择与反映阅读障碍相关(语音处理、阅读、拼写、算术)或 ADHD 相关特征(执行功能、注意力)或智力的神经心理学变量没有相关性,但对 AGL 语法的外显知识(即自由生成语法字符串的能力)与语音处理和阅读变量呈正相关。此外,SRT 反应时间与全量表智商(FIQ)呈正相关。我们得出结论,在 AGL 中,对基础规则结构的学习困难(如语法准确性所衡量的)与阅读障碍和 ADHD 有关。然而,AGL 中的学习与阅读障碍或 ADHD 的定义神经心理学特征无关。相反,由此产生的外显知识与阅读障碍的特征有关。