A comparison of learning and retention of a syntactic construction between Cantonese-speaking children with and without DLD in a priming task

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Anita M.-Y. Wong , Cecilia W.-S. Au , Angel Chan , Mohammad Momenian
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引用次数: 0

Abstract

Procedural circuit Deficit Hypothesis (PDH) of Developmental Language Disorder (DLD) predicts problems with learning and retention of grammar. Twenty 7- to 9-year-old Cantonese-speaking children with DLD and their typically developing (TD) age peers participated in a syntactic priming task that was given in two sessions one week apart. Production of Indirect Object Relative Clause (IORC) was tested using a probe test before and after the priming task, and one week later. The study involved two cycles of learning and retention, and two levels of prior knowledge. Bayesian linear mixed effects modelling was used for data analysis. Children with DLD learned, and possibly retained, IORC less well than TD children after age, working memory and general grammatical knowledge were controlled for. No interaction effects were significant, meaning that cycle and prior knowledge affected both groups similarly in learning and retention. Results were discussed in relation to PDH and the Complementary Learning Systems Theory.

在引物任务中比较有和没有发育迟缓问题的粤语儿童对句法结构的学习和保持情况
发育性语言障碍(DLD)的程序回路缺陷假说(PDH)预示着语法学习和保持方面的问题。20名7至9岁讲粤语的发育性语言障碍儿童和他们发育正常(TD)的同龄人参加了一项句法引物任务,该任务分两次进行,每次间隔一周。间接宾语相对从句(IORC)的生成在引物任务前后和一周后通过探究测试进行测试。研究涉及两个学习和保持周期,以及两个水平的先验知识。数据分析采用贝叶斯线性混合效应模型。在对年龄、工作记忆和一般语法知识进行控制后,患有痴呆症的儿童学习和保留 IORC 的效果不如患有阅读障碍的儿童。交互作用效应不明显,这意味着周期和先前知识对两组儿童的学习和保留影响相似。研究结果与 PDH 和互补学习系统理论进行了讨论。
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来源期刊
Brain and Language
Brain and Language 医学-神经科学
CiteScore
4.50
自引率
8.00%
发文量
82
审稿时长
20.5 weeks
期刊介绍: An interdisciplinary journal, Brain and Language publishes articles that elucidate the complex relationships among language, brain, and behavior. The journal covers the large variety of modern techniques in cognitive neuroscience, including functional and structural brain imaging, electrophysiology, cellular and molecular neurobiology, genetics, lesion-based approaches, and computational modeling. All articles must relate to human language and be relevant to the understanding of its neurobiological and neurocognitive bases. Published articles in the journal are expected to have significant theoretical novelty and/or practical implications, and use perspectives and methods from psychology, linguistics, and neuroscience along with brain data and brain measures.
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