Gorshkov Georgii, Buivolova Olga, Gavrilova Elena, Dragoy Olga
Center for Language and Brain, National Research University Higher School of Economics, Moscow, Russia.
Centre for Cognition & Decision Making, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia.
NeuroRehabilitation. 2025 Mar;56(2):113-131. doi: 10.1177/10538135241296737. Epub 2025 Jan 12.
BackgroundNowadays, developers offer mobile applications for aphasia treatment. Although their overall effectiveness and acceptance by the target audience was proved, it has not been established what aspects of technology-based aphasia rehabilitation facilitate these improvements and translate into generalization.ObjectiveThe objectives were to analyze what technology- and treatment-related factors, including treatment dose, intensity and duration, affect treatment efficacy and facilitate generalization.MethodsThe PubMed and ScienceDirect databases were searched in February 2024. The review included experimental articles testing mobile- or computer-based applications for aphasia rehabilitation. Studies were excluded if they described AAC techniques or assistive tools, or focused solely on quality of life. ROB-2 was used to assess risk of bias in the included randomized controlled trials.ResultsEighteen articles meeting the inclusion criteria were analyzed. The key factors increasing the therapy effect and leading to generalization were automatic feedback, diversity of the tasks employed in the training, longer periods of treatment, and interaction between the user and the clinician.ConclusionsTechnology-based aphasia treatment is an effective therapy tool. Contact with the clinician, simultaneous practice targeted at various language domains and executive functions, as well as feedback, positively influence outcomes. The review, however, has limitations, as it lacks statistical analysis and synthesizes heterogeneous data.
背景
如今，开发者提供用于失语症治疗的移动应用程序。尽管其整体有效性和目标受众的接受度已得到证实，但基于技术的失语症康复的哪些方面促进了这些改善并转化为泛化尚未明确。
目的
目的是分析包括治疗剂量、强度和持续时间在内的与技术和治疗相关的因素如何影响治疗效果并促进泛化。
方法
于2024年2月检索了PubMed和ScienceDirect数据库。该综述纳入了测试基于移动或计算机应用程序进行失语症康复的实验性文章。如果研究描述了辅助沟通技术（AAC）或辅助工具，或仅关注生活质量，则将其排除。采用ROB-2评估纳入的随机对照试验中的偏倚风险。
结果
分析了18篇符合纳入标准的文章。提高治疗效果并导致泛化的关键因素是自动反馈、训练中使用任务的多样性、更长的治疗时间以及用户与临床医生之间的互动。
结论
基于技术的失语症治疗是一种有效的治疗工具。与临床医生的接触、针对各种语言领域和执行功能的同步练习以及反馈对治疗结果有积极影响。然而，该综述存在局限性，因为它缺乏统计分析且综合了异质性数据。
