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A discourse-based approach to semantic feature analysis for the treatment of aphasic word retrieval failures

机译:一种基于语篇的语义特征分析方法,用于处理失语单词检索失败

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Background: Semantic feature analysis (SFA) is a prominent treatment for the word retrieval deficits of aphasia. Generalisation of improved word retrieval on picture naming to discourse production has been an important factor for evaluating the effectiveness of SFA treatment. Unfortunately, generalisation of word retrieval improvements to discourse production following SFA has been modest. Aims: Because of the previous, albeit limited, success of SFA in producing improved word retrieval for discourse we further examined the utility of SFA for reducing noun and verb retrieval failures in aphasic discourse. Rather than use SFA as a means for improving generalisation of picture naming or as a compensatory strategy for lexical failures during discourse, we applied SFA as an a priori means to reduce the frequency of word retrieval failures in discourse. Methods & Procedures: Semantic feature analysis was applied to object and action word retrieval failures appearing during picture descriptions and procedural questions by two participants with anomic aphasia. A single case time-series design across behaviours with replication was used to assess changes in discourse production as well as generalisation of treatment effects to untrained pictures resulting from SFA. Outcomes & Results: Increases were observed in verbal productivity for both participants, while the informativeness of the participant's discourse, as measured by correct information unit analyses, also improved. Minimal changes were observed in the frequency and type of word-finding behaviours evinced by the participants; this finding was attributed to a masking effect arising from the participants' increased quantity of verbal output. Evidence was also found that targeting word finding behaviours in connected speech generalised to naming of untrained object and action pictures. Conclusions: The changes effected by this discourse-based approach to SFA were as robust and as consistent as has been achieved previou
机译:背景:语义特征分析(SFA)是失语症患者单词检索缺陷的一种重要治疗方法。在图片命名上将改进的单词检索推广到话语产生已成为评估SFA治疗有效性的重要因素。不幸的是,在SFA之后对单词检索的一般化改进对话语产生的改进还很有限。目的:由于先前(尽管有限)SFA在产生改进的话语检索词方面取得了成功,因此我们进一步研究了SFA减少无谓语篇中名词和动词检索失败的效用。我们不是将SFA用作改善图片命名通用性的手段,也不将其用作话语过程中词汇错误的补偿策略,而是将SFA用作减少话语中单词检索失败频率的先验手段。方法和步骤:语义特征分析应用于两名患有失语症的参与者在图片描述和程序问题中出现的对象和动作词检索失败。跨行为与复制的单一案例时间序列设计用于评估话语产生的变化以及对SFA产生的未经训练图片的治疗效果的一般化。结果与结果:双方参与者的言语生产率均得到提高,而参与者的话语信息量(通过正确的信息单元分析测得)也得到了改善。观察者发现的单词发现行为的频率和类型变化很小。这一发现归因于参与者语言输出量增加所产生的掩盖效应。也有证据表明,针对关联语音中的单词发现行为,普遍适用于对未经训练的物体和动作图片进行命名。结论:这种基于话语的SFA方法所产生的变化与之前实现的一样稳健且一致

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