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语义性痴呆患者对计算机生成单词的无错误学习。

Errorless learning of computer-generated words in a patient with semantic dementia.

机构信息

Kunin-Lunenfeld Applied Research Unit, Baycrest, Toronto, Canada.

出版信息

Neuropsychol Rehabil. 2010 Jan;20(1):16-41. doi: 10.1080/09602010902879859.

DOI:10.1080/09602010902879859
PMID:19504403
Abstract

This study explores the effectiveness and feasibility of an errorless learning approach administered via a computer-based treatment for anomia to CS, an individual with semantic dementia. Using a multiple baseline across behaviours design, we explored treatment specific effects, maintenance and generalisation of gains derived from the MossTalk Words((R)) therapy programme. CS was treated on three lists of words, each containing items for which CS retained some semantic knowledge and some for which he did not. CS was tested immediately after therapy, and one and three months later. Improved naming was maintained on all lists at all testing intervals. In addition, among those words for which CS retained some semantic knowledge, he maintained the ability to name all practised words, but only half of the not practised words. This study underscored the feasibility of computer-based treatments for anomia in progressive disorders, demonstrated the effectiveness of an errorless approach in semantic dementia in re-training lost words, and provided justification for training words that patients still have in their daily vocabulary. The results are discussed in relation to other treatment studies in progressive aphasia and in the context of factors necessary for therapeutic success in semantic dementia.

摘要

本研究探索了一种无错误学习方法在计算机辅助治疗命名障碍中的有效性和可行性,该方法用于治疗语义痴呆患者 CS。使用跨行为的多基线设计,我们探讨了特定于治疗的效果、治疗后维持以及从 MossTalk Words((R))治疗方案中获得的收益的泛化。CS 接受了三个单词列表的治疗,每个列表都包含 CS 保留了一些语义知识的项目和一些他不了解的项目。CS 在治疗后立即、一个月和三个月后接受了测试。在所有测试间隔中,所有列表的命名能力都得到了维持。此外,在 CS 保留了一些语义知识的那些单词中,他能够继续命名所有练习过的单词,但只能命名一半未练习过的单词。这项研究强调了计算机辅助治疗在进行性疾病中治疗命名障碍的可行性,证明了在语义痴呆中使用无错误方法对重新训练丧失的单词是有效的,并为在患者日常词汇中仍保留的单词进行训练提供了依据。结果将在与进行性失语症其他治疗研究以及在语义痴呆中治疗成功所需因素的背景下进行讨论。

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