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言语工作记忆增长特征可预测人工耳蜗植入儿童的言语和语言发展。

Profiles of verbal working memory growth predict speech and language development in children with cochlear implants.

机构信息

Indiana University School of Medicine, Indianapolis, USA.

出版信息

J Speech Lang Hear Res. 2013 Jun;56(3):805-25. doi: 10.1044/1092-4388(2012/11-0356). Epub 2012 Dec 28.

Abstract

PURPOSE

Verbal short-term memory (STM) and working memory (WM) skills predict speech and language outcomes in children with cochlear implants (CIs) even after conventional demographic, device, and medical factors are taken into account. However, prior research has focused on single end point outcomes as opposed to the longitudinal process of development of verbal STM/WM and speech-language skills. In this study, the authors investigated relations between profiles of verbal STM/WM development and speech-language development over time.

METHOD

Profiles of verbal STM/WM development were identified through the use of group-based trajectory analysis of repeated digit span measures over at least a 2-year time period in a sample of 66 children (ages 6-16 years) with CIs. Subjects also completed repeated assessments of speech and language skills during the same time period.

RESULTS

Clusters representing different patterns of development of verbal STM (digit span forward scores) were related to the growth rate of vocabulary and language comprehension skills over time. Clusters representing different patterns of development of verbal WM (digit span backward scores) were related to the growth rate of vocabulary and spoken word recognition skills over time.

CONCLUSION

Different patterns of development of verbal STM/WM capacity predict the dynamic process of development of speech and language skills in this clinical population.

摘要

目的

即使考虑到常规的人口统计学、设备和医学因素,言语短期记忆(STM)和工作记忆(WM)技能也可以预测植入人工耳蜗(CI)的儿童的言语和语言结果。然而,先前的研究侧重于单一终点结果,而不是言语 STM/WM 和言语语言技能的纵向发展过程。在这项研究中,作者研究了言语 STM/WM 发展与随时间推移的言语语言发展之间的关系。

方法

通过对至少 2 年时间内重复数字跨度测量的基于群组的轨迹分析,在一组 66 名(6-16 岁)植入 CI 的儿童样本中确定言语 STM/WM 发展的模式。受试者还在同一时间段内完成了对言语和语言技能的重复评估。

结果

代表言语 STM(数字跨度前测分数)不同发展模式的集群与词汇和语言理解技能随时间的增长率相关。代表言语 WM(数字跨度后测分数)不同发展模式的集群与词汇和口语单词识别技能随时间的增长率相关。

结论

言语 STM/WM 能力的不同发展模式预测了该临床人群言语语言技能发展的动态过程。

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