发展性语言障碍的学龄儿童的转移。

IF 2.2
Lauren S Baron, Asiya Gul, Annika L Schafer, Kelsey B Black, Annie B Fox, Yael Arbel
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引用次数: 0

摘要

目的:许多患有发展性语言障碍(DLD)的儿童表现出执行功能技能受损,包括移动。然而,迁移任务中的语言需求使得迁移能力难以准确评估。结合行为测量(准确性、反应时间)和事件相关电位(ERPs)可以帮助分离语言和转移能力对任务表现的影响。方法:本研究检查了40名8-12岁儿童的移位(20名患有DLD, 20名患有典型语言发育[TD])。提示集转换范式提供了在两种反应规则之间切换的视觉提示。单一规则块包含重复相同规则的“单一”试验。混合规则块包含“切换”和“停留”试验,这些试验以伪随机方式交替规则。我们比较了不同组和不同试验类型的线索- p3 ERP分量的振幅和潜伏期。结果:DLD患儿的反应时间明显长于TD患儿,但准确性相当。TD儿童的混合成本显著高于DLD儿童,这反映了与单一规则块相比,混合规则块对任务难度增加的适当反应。DLD儿童的转换成本显著高于TD儿童,这表明在混合规则块中转换与停留试验的处理时间较长。ERP数据显示各组的线索- p3成分模式不同;然而,差异无统计学意义。在不同的试验类型中,TD患儿的幅度和潜伏期相似。DLD患儿对单一线索的处理幅度降低,对转换线索的处理延迟。行为和电生理测量之间的相关性有限。结论:虽然患有DLD的儿童与患有TD的同龄人表现得一样准确,但他们处理线索和提交反应的时间明显更长。电生理数据表明,DLD儿童的线索处理可能与TD儿童不同,但需要更多的工作来评估这些差异的本质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shifting in School-Aged Children With Developmental Language Disorder.

Purpose: Many children with developmental language disorder (DLD) demonstrate impaired executive function skills, including shifting. However, language demands in shifting tasks make it difficult to accurately assess shifting ability. Combining behavioral measures (accuracy, reaction time) with event-related potentials (ERPs) can help dissociate the effects of language and shifting ability on task performance.

Method: This study examined shifting in 40 children, aged 8-12 years (20 with DLD, 20 with typical language development [TD]). A cued set-shifting paradigm presented visual cues to switch between two response rules. Single-rule blocks contained "Single" trials that repeated the same rule. Mixed-rule blocks contained "Switch" and "Stay" trials that alternated rules pseudorandomly. The amplitude and latency of the cue-P3 ERP component, indexing shift cue processing, were compared across groups and trial types.

Results: Children with DLD had significantly longer reaction times than children with TD, but they achieved comparable accuracy. Mixing Cost was significantly greater for children with TD than DLD, reflecting an appropriate response to increased task difficulty in the mixed-rule blocks compared to the single-rule blocks. Switching Cost was significantly greater for children with DLD than TD, suggesting protracted processing of Switch versus Stay trials in the mixed-rule blocks. ERP data revealed different patterns of the cue-P3 component in each group; however, differences were not statistically significant. Children with TD had similar amplitude and latency across trial types. Children with DLD exhibited reduced amplitude for Single cues and delayed processing of Switch cues. Correlations between behavioral and electrophysiological measures were limited.

Conclusions: While children with DLD performed as accurately as their peers with TD, they took significantly longer to process cues and submit responses. Electrophysiological data suggest that cue processing may differ among children with DLD compared to those with TD, but more work is needed to assess the nature of these differences.

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