Antonsson Malin, Lundholm Fors Kristina, Eckerström Marie, Kokkinakis Dimitrios
Department of Swedish, Faculty of Arts, University of Gothenburg, Gothenburg, Sweden.
Speech and Language Pathology Unit, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Front Aging Neurosci. 2021 Jan 18;12:607449. doi: 10.3389/fnagi.2020.607449. eCollection 2020.
This paper uses a discourse task to explore aspects of semantic production in persons with various degree of cognitive impairment and healthy controls. The purpose of the study was to test if an in-depth semantic analysis of a cognitive-linguistic challenging discourse task could differentiate persons with a cognitive decline from those with a stable cognitive impairment. Both quantitative measures of semantic ability, using tests of oral lexical retrieval, and qualitative analysis of a narrative were used to detect semantic difficulties. Besides group comparisons a classification experiment was performed to investigate if the discourse features could be used to improve classification of the participants who had a stable cognitive impairment from those who had cognitively declined. In sum, both types of assessment methods captured difficulties between the groups, but tests of oral lexical retrieval most successfully differentiated between the cognitively stable and the cognitively declined group. Discourse features improved classification accuracy and the best combination of features discriminated between participants with a stable cognitive impairment and those who had cognitively declined with an area under the curve (AUC) of 0.93.
本文使用一项话语任务来探究不同程度认知障碍患者及健康对照者的语义生成方面。该研究的目的是测试对一项具有认知 - 语言挑战性的话语任务进行深入语义分析是否能够区分认知衰退者与认知障碍稳定者。语义能力的定量测量采用口语词汇检索测试,同时对一段叙述进行定性分析以检测语义困难。除了进行组间比较外,还开展了一项分类实验,以研究话语特征是否可用于改善对认知障碍稳定者与认知衰退者的分类。总之,两种评估方法都捕捉到了组间差异,但口语词汇检索测试在区分认知稳定组和认知衰退组方面最为成功。话语特征提高了分类准确性,最佳特征组合在区分认知障碍稳定者和认知衰退者时的曲线下面积(AUC)为0.93。