Park Jimin, Yoo Yae Rin, Lim Yoonseob, Sung Jee Eun
Department of Communication Disorders, Ewha Womans University, Seoul, Republic of Korea.
The Center for Intelligent and Interactive Robotics, Korea Institute of Science and Technology, Seoul, Republic of Korea.
Front Psychol. 2022 Dec 14;13:1053272. doi: 10.3389/fpsyg.2022.1053272. eCollection 2022.
This study investigated whether employing a phonological or semantic strategy elicited a better performance on a letter fluency task for people with Alzheimer's disease (AD).
Sixty participants with probable AD were extracted from the DementiaBank database. After applying exclusion criteria, 47 participants were included in the final analysis. We used phonological and semantic strategies to analyze participants' responses to the letter fluency task. The phonological strategy analysis was based on the number of switches and the mean cluster size, and the semantic strategy analysis was based on semantic relatedness, which quantified word-similarity change by adapting the concept of persistence length from analyses of DNA and protein structures. We employed Pearson correlation coefficients to determine whether any strategy indexes were significantly related to the number of correct responses and used stepwise multiple regression analyses to determine the best predictor.
Participants who relied on phonological strategy performed better on the letter fluency task. The number of correct responses was significantly positively correlated with phonological strategy but significantly negatively correlated with semantic strategy. The number of switches, mean cluster size, and semantic relatedness were all significant predictors, explaining 68.1% of the variance.
Our results suggested that individuals with AD who engaged in phonological strategy performed better on the letter fluency task than those who relied on semantic strategy.
本研究调查了对于阿尔茨海默病(AD)患者,采用语音策略或语义策略是否能在字母流畅性任务中产生更好的表现。
从痴呆症数据库中提取了60名可能患有AD的参与者。在应用排除标准后,47名参与者被纳入最终分析。我们使用语音和语义策略来分析参与者对字母流畅性任务的反应。语音策略分析基于转换次数和平均聚类大小,语义策略分析基于语义相关性,通过采用DNA和蛋白质结构分析中的持续长度概念来量化单词相似性变化。我们使用Pearson相关系数来确定是否有任何策略指标与正确反应次数显著相关,并使用逐步多元回归分析来确定最佳预测指标。
依赖语音策略的参与者在字母流畅性任务中表现更好。正确反应次数与语音策略显著正相关,但与语义策略显著负相关。转换次数、平均聚类大小和语义相关性都是显著的预测指标,解释了68.1%的方差。
我们的结果表明,采用语音策略的AD患者在字母流畅性任务中的表现优于依赖语义策略的患者。