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用网络分析探索失语症的复杂性。

Exploring the Complexity of Aphasia With Network Analysis.

机构信息

Shirley Ryan AbilityLab, Chicago, IL.

Feinberg School of Medicine, Northwestern University, Chicago, IL.

出版信息

J Speech Lang Hear Res. 2021 Oct 4;64(10):3928-3941. doi: 10.1044/2021_JSLHR-21-00157. Epub 2021 Sep 17.

Abstract

Purpose Aphasia is a complex, neurogenic language disorder, with different aphasia syndromes hallmarked by impairment in fluency, auditory comprehension, naming, and/or repetition. Broad, standardized assessments of language domains and specific language and cognitive assessments provide a holistic impairment profile of a person with aphasia. While many recognize the correlations between assessments, there remains a need to continue understanding the complexity of relationships between assessments for the purpose of better characterization of language impairment profiles of persons with aphasia. We explored the use of network analysis to identify the complex relationships between a variety of language assessments. Method We computed a regularized partial correlation network and a directed acyclic graph network to estimate the relations between different aphasia assessments in 128 persons with aphasia. Results Western Aphasia Battery-Revised Comprehension subtest was the most central assessment in the aphasia symptom network, whereas the Philadelphia Naming Test had the most putative causal influence on other assessments. Additionally, the language assessments segregated into three empirically derived communities denoting phonology, semantics, and syntax. Furthermore, several assessments, including the Philadelphia Naming Test, belonged to multiple communities, suggesting that certain assessments may capture multiple language impairments. Conclusion We discuss the implications of using a network analysis approach for clinical intervention and driving forward novel questions in the field of clinical aphasiology. Supplemental Material https://doi.org/10.23641/asha.16620229.

摘要

目的

失语症是一种复杂的神经源性语言障碍,不同的失语症综合征以流畅性、听觉理解、命名和/或复述受损为特征。广泛的、标准化的语言领域评估以及特定的语言和认知评估为失语症患者提供了全面的语言障碍概况。尽管许多人认识到评估之间的相关性,但仍需要继续了解评估之间关系的复杂性,以便更好地描述失语症患者的语言障碍概况。我们探索了使用网络分析来识别各种语言评估之间的复杂关系。

方法

我们计算了正则化部分相关网络和有向无环图网络,以估计 128 名失语症患者中不同失语症评估之间的关系。

结果

在失语症症状网络中,西方失语症成套测验修订版理解分测验是最核心的评估,而费城命名测验对其他评估的潜在因果影响最大。此外,语言评估分为三个经验上得出的社区,分别表示语音、语义和语法。此外,包括费城命名测验在内的几项评估属于多个社区,这表明某些评估可能同时涉及多种语言障碍。

结论

我们讨论了使用网络分析方法对临床干预的影响,并为临床失语学领域提出了新的问题。

补充材料

https://doi.org/10.23641/asha.16620229.

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