Aphasia Research Laboratory, Department of Speech, Language & Hearing Sciences, Boston University College of Health & Rehabilitation Sciences: Sargent College, MA.
J Speech Lang Hear Res. 2022 Oct 17;65(10):3854-3872. doi: 10.1044/2022_JSLHR-21-00527. Epub 2022 Oct 6.
The impact of stimulus-level psycholinguistic variables and person-level semantic and phonological processing skills on treatment outcomes in individuals with aphasia requires further examination to inform clinical decision making in treatment prescription and stimuli selection. This study investigated the influence of stimulus-level psycholinguistic properties and person-level semantic and phonological processing skills on word production accuracy and treatment response.
This retrospective analysis included 35 individuals with chronic, poststroke aphasia, 30 of whom completed typicality-based semantic feature treatment. Mixed-effects logistic regression models were used to predict binary naming accuracy (a) at baseline and (b) over the course of treatment using stimulus-level psycholinguistic word properties and person-level semantic and phonological processing skills as predictors.
In baseline naming, words with less complex lexical-semantic and phonological properties showed greater predicted accuracy. There was also an interaction at baseline between stimulus-level lexical-semantic properties and person-level semantic processing skills in predicting baseline naming accuracy. With treatment, words that were more complex from a lexical-semantic standpoint (vs. less complex) and less complex from a phonological standpoint (vs. more complex) improved more. Individuals with greater baseline semantic and phonological processing skills showed a greater treatment response.
This study suggests that future clinical research and clinical work should consider semantic and phonological properties of words in selecting stimuli for semantically based treatment. Furthermore, future clinical research should continue to evaluate baseline individual semantic and phonological profiles as predictors of response to semantically based treatment.
刺激水平的心理语言学变量以及个体的语义和语音处理技能对失语症患者治疗效果的影响需要进一步研究，以便为治疗方案和刺激选择的临床决策提供信息。本研究调查了刺激水平的心理语言学特性以及个体的语义和语音处理技能对单词产生准确性和治疗反应的影响。
本回顾性分析纳入了 35 名慢性卒中后失语症患者，其中 30 名完成了基于典型性的语义特征治疗。使用混合效应逻辑回归模型，根据刺激水平的心理语言学单词特性和个体水平的语义和语音处理技能，预测（a）基线时和（b）治疗过程中的二分类命名准确性。
在基线命名中，词汇语义和语音特性较简单的单词具有更高的预测准确性。在预测基线命名准确性时，还存在刺激水平词汇语义特性和个体水平语义处理技能之间的交互作用。随着治疗的进行，从词汇语义角度来看（与从词汇语义角度来看）更复杂的单词和从语音角度来看（与从语音角度来看）更简单的单词改善得更多。具有更大基线语义和语音处理技能的个体表现出更大的治疗反应。
本研究表明，未来的临床研究和临床工作应考虑基于语义的治疗中单词的语义和语音特性，选择刺激物。此外，未来的临床研究应继续评估基线个体的语义和语音特征，作为基于语义的治疗反应的预测指标。
