Deficits of Facial Emotion Recognition in Elderly Individuals with Mild Cognitive Impairment

Author:

Ju Eun-Yoo,Kim Chae Yoon,Choi Baek-Yong,Ryoo Seung-Woo,Min Jin-Young,Min Kyoung-Bok

Abstract

<b><i>Introduction:</i></b> The study of facial emotion recognition is under-explored in subjects with mild cognitive impairment (MCI). We investigated whether deficits in facial emotion recognition are present in patients with MCI. We also analyzed the relationship between facial emotion recognition and different domains of cognitive function. <b><i>Methods:</i></b> This study included 300 participants aged 60 years or older with cognitive decline. We evaluated 181 MCI and 119 non-MCI subjects using the Seoul Neuropsychological Screening Battery-Core (SNSB-C) and facial emotion recognition task using six facial expressions (anger, disgust, fear, happiness, sadness and surprise). A Generalized Linear Model (GLM) was used to assess the association between cognitive performance and accuracy of facial emotion recognition and to compare facial emotion recognition in the MCI group based on the impairment of five different domains of cognitive function. The model was adjusted for age, sex, years of education, and depressive symptoms. <b><i>Results:</i></b> Patients with MCI had a lower score for accurately recognizing total facial emotion (0.48 vs. 0.53; <i>ρ</i> = 0.0003) and surprise (0.73 vs. 0.81; <i>ρ</i> = 0.0215) when compared to cognitively healthy subjects. We also discovered that frontal/executive function domain (Digit Symbol Coding [DSC, 0.38 vs. 0.49; <i>p</i> &lt; 0.0001], Controlled Oral Word Association Test [COWAT, 0.42 vs. 0.49; <i>p</i> = 0.0001], Korean-Trail Making Test [K-TMT, 0.37 vs. 0.48; <i>p</i> = 0.0073], Korean-Color Word Stroop Test [K-CWST, 0.43 vs. 0.49; <i>p</i> = 0.0219]) and language domain (Korean-Boston Naming Test [S-K-BNT, 0.46 vs. 0.47; <i>p</i> = 0.003]) were statistically associated with the deficits of facial emotion recognition in patients with MCI. <b><i>Conclusion:</i></b> We observed a significant association between deficits in facial emotion recognition and cognitive impairment in elderly individuals.

Publisher

S. Karger AG

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3