Li Ran, Gilmore Natalie, O'Connell Mia, Kiran Swathi
Department of English Language and Literature, Hong Kong Baptist University, Hong Kong.
James A. Haley Veterans' Hospital, Tampa, USA.
Aphasiology. 2025 Jun;39(6):772-797. doi: 10.1080/02687038.2024.2377325. Epub 2024 Jul 18.
The Complexity Account for Treatment Efficacy (CATE) has been applied to semantic typicality in aphasia naming therapy, i.e., training atypical items of a category would improve naming of typical untrained-related items. However, most aphasia treatment studies have implemented a binary scoring system to measure response accuracy, which may not thoroughly reveal linguistic mechanisms underlying aphasia recovery.
The current study investigated the evolution of error patterns following typicality-based Semantic Features Analysis (SFA) treatment in individuals with post-stroke aphasia.
METHODS & PROCEDURES: Thirty individuals with chronic aphasia participated in a typicality-based SFA treatment, and ten individuals with chronic aphasia served as controls. The treatment participants and controls completed a naming screener before and after either a treatment period or a no-treatment period, respectively. Responses were coded using an error coding scale and analyzed with mixed-effects models.
OUTCOMES & RESULTS: Treatment participants demonstrated significant treatment and generalization effects, as captured by significant improvements on the error coding system for both trained and untrained items. However, the group-level analysis did not reveal significant generalization from training atypical items to untrained typical items. Subgroup analyses based on participants' performance in treatment showed significant gains in naming untrained typical items from training atypical items in responders, but improved naming of untrained atypical items from training typical items in nonresponders.
These findings suggest different linguistic mechanisms underlying aphasia recovery and highlight the importance of investigating treatment and generalization effects using a fine-grained error coding system as a complement to a binary scoring system.
治疗效果复杂性账户（CATE）已应用于失语症命名治疗中的语义典型性，即训练某一类别中的非典型项目会改善未训练的典型相关项目的命名。然而，大多数失语症治疗研究采用二元评分系统来衡量反应准确性，这可能无法充分揭示失语症恢复背后的语言机制。
本研究调查了中风后失语症患者基于典型性的语义特征分析（SFA）治疗后错误模式的演变。
30名慢性失语症患者参与了基于典型性的SFA治疗，10名慢性失语症患者作为对照组。治疗组参与者和对照组分别在治疗期或非治疗期前后完成命名筛查。使用错误编码量表对反应进行编码，并采用混合效应模型进行分析。
治疗组参与者表现出显著的治疗和泛化效果，训练项目和未训练项目的错误编码系统均有显著改善。然而，组水平分析未显示从训练非典型项目到未训练典型项目的显著泛化。基于参与者治疗表现的亚组分析显示，反应者从训练非典型项目中命名未训练典型项目有显著提高，而非反应者从训练典型项目中命名未训练非典型项目有改善。
这些发现表明失语症恢复背后存在不同的语言机制，并强调使用细粒度错误编码系统作为二元评分系统的补充来研究治疗和泛化效果的重要性。
