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多水平因素预测双语失语症患者基于语义特征干预后的治疗反应。

Multilevel factors predict treatment response following semantic feature-based intervention in bilingual aphasia.

作者信息

Scimeca Michael, Peñaloza Claudia, Kiran Swathi

机构信息

Department of Speech, Language, and Hearing Sciences, Boston University, MA, USA.

Department of Cognition, Development and Educational Psychology, Faculty of Psychology, University of Barcelona, Barcelona, Spain.

出版信息

Biling (Camb Engl). 2024 Mar;27(2):246-262. doi: 10.1017/s1366728923000391. Epub 2023 Aug 22.

Abstract

Semantic feature-based treatments (SFTs) are effective rehabilitation strategies for word retrieval deficits in bilinguals with aphasia (BWA). However, few studies have prospectively evaluated the effects of key parameters of these interventions on treatment outcomes. This study examined the influence of intervention-level (i.e., treatment language and treatment sessions), individual-level (baseline naming severity and age), and stimulus-level (i.e., lexical frequency, phonological length, and phonological neighborhood density) factors on naming improvement in a treated and untreated language for 34 Spanish-English BWA who completed 40 hours of SFT. Results revealed significant improvement over time in both languages. In the treated language, individuals who received therapy in their L1 improved more. Additionally, higher pre-treatment naming scores predicted greater response to treatment. Finally, a frequency effect on baseline naming accuracy and phonological effects on accuracy over time were associated with differential treatment gains. These findings indicate that multilevel factors are influential predictors of bilingual treatment outcomes.

摘要

基于语义特征的治疗方法(SFTs)是针对双语失语症患者(BWA)词汇检索缺陷的有效康复策略。然而,很少有研究前瞻性地评估这些干预措施的关键参数对治疗结果的影响。本研究调查了干预水平(即治疗语言和治疗疗程)、个体水平(基线命名严重程度和年龄)和刺激水平(即词汇频率、语音长度和语音邻域密度)因素对34名完成40小时SFT的西班牙-英语双语失语症患者在接受治疗和未接受治疗的语言中命名改善的影响。结果显示,两种语言随时间均有显著改善。在接受治疗的语言中,接受母语治疗的个体改善更大。此外,治疗前较高的命名分数预示着对治疗的反应更大。最后,基线命名准确性的频率效应和随时间推移准确性的语音效应与不同的治疗效果相关。这些发现表明,多层次因素是双语治疗结果的有影响力的预测指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b1b/10993298/9ce7d25da911/nihms-1930933-f0001.jpg

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