Complexity in the treatment of naming deficits
Complexity in the treatment of naming deficits
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DOI：
10.1044/1058-0360(2007/004
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发表时间：
2007-02-01
影响因子：
2.6
通讯作者：
Kiran, Swathi
中科院分区：
文献类型：
--
作者：
Kiran, Swathi
目的：本文讨论了一种新的方法来治疗失语症的词汇提取缺陷，其中治疗开始于复杂的，而不是简单的，词汇刺激。这种处理考虑了语义类别中项目的语义复杂性，重点是它们的特征细节。Kiran & C. K. Thompson，2003 b）和针对无生命类别中的项目的初步工作在这篇文章中进行了讨论。这两项研究表明，训练非典型类别项目，需要固有的类别原型的功能，以及独特的功能，是不是典型的类别原型的结果泛化到未经训练的典型的例子，只需要与类别原型的功能一致。相反，训练典型示例不会导致泛化到未训练的非典型示例。在这篇文章中，认为非典型项目是更复杂的比典型项目在一个类别中，和语义复杂性的这一维度的理论框架进行了讨论。然后，从治疗研究，支持这种复杂性层次的证据。潜在的患者和刺激的具体因素，可能会影响这种治疗方法的成功也discussed.Conclusions：语义复杂性的应用程序，以治疗额外的语义类别和功能的应用，这种方法提出。
Purpose: This article discusses a novel approach for treatment of lexical retrieval deficits in aphasia in which treatment begins with complex, rather than simple, lexical stimuli. This treatment considers the semantic complexity of items within semantic categories, with a focus on their featural detail.Method and Results: Previous work on training items within animate categories (S. Kiran & C. K. Thompson, 2003b) and preliminary work aimed at items within inanimate categories are discussed in this article. Both these studies indicate that training atypical category items that entail features inherent in the category prototype as well as distinctive features that are not characteristic of the category prototype results in generalization to untrained typical examples which entail only features consistent with the category prototype. Conversely, training typical examples does not result in generalization to untrained atypical examples. In this article, it is argued that atypical items are more complex than typical items within a category, and a theoretical framework for this dimension of semantic complexity is discussed. Then, evidence from treatment studies that support this complexity hierarchy is presented. Potential patient- and stimulus-specific factors that may influence the success of this treatment approach are also discussed.Conclusions: The applications of semantic complexity to treatment of additional semantic categories and functional applications of this approach are proposed.