Eun-Yoo Ju, Chae Yoon Kim, Baek-Yong Choi, Seung-Woo Ryoo, Jin-Young Min, Kyoung-Bok Min
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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.</p><p><strong>Results: </strong>Patients with MCI had a lower score for accurately recognizing total facial emotion (0.48 vs. 0.53; ρ = 0.0003) and surprise (0.73 vs. 0.81; ρ = 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; p < 0.0001], Controlled Oral Word Association Test [COWAT, 0.42 vs. 0.49; p = 0.0001], Korean-Trail Making Test [K-TMT, 0.37 vs. 0.48; p = 0.0073], Korean-Color Word Stroop Test [K-CWST, 0.43 vs. 0.49; p = 0.0219]) and language domain (Korean-Boston Naming Test [S-K-BNT, 0.46 vs. 0.47; p = 0.003]) were statistically associated with the deficits of facial emotion recognition in patients with MCI.</p><p><strong>Conclusion: </strong>We observed a significant association between deficits in facial emotion recognition and cognitive impairment in elderly individuals.</p>","PeriodicalId":11126,"journal":{"name":"Dementia and Geriatric Cognitive Disorders","volume":" ","pages":"1-8"},"PeriodicalIF":2.2000,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Deficits of Facial Emotion Recognition in Elderly Individuals with Mild Cognitive Impairment.\",\"authors\":\"Eun-Yoo Ju, Chae Yoon Kim, Baek-Yong Choi, Seung-Woo Ryoo, Jin-Young Min, Kyoung-Bok Min\",\"doi\":\"10.1159/000540364\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>Patients with MCI had a lower score for accurately recognizing total facial emotion (0.48 vs. 0.53; ρ = 0.0003) and surprise (0.73 vs. 0.81; ρ = 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; p < 0.0001], Controlled Oral Word Association Test [COWAT, 0.42 vs. 0.49; p = 0.0001], Korean-Trail Making Test [K-TMT, 0.37 vs. 0.48; p = 0.0073], Korean-Color Word Stroop Test [K-CWST, 0.43 vs. 0.49; p = 0.0219]) and language domain (Korean-Boston Naming Test [S-K-BNT, 0.46 vs. 0.47; p = 0.003]) were statistically associated with the deficits of facial emotion recognition in patients with MCI.</p><p><strong>Conclusion: </strong>We observed a significant association between deficits in facial emotion recognition and cognitive impairment in elderly individuals.</p>\",\"PeriodicalId\":11126,\"journal\":{\"name\":\"Dementia and Geriatric Cognitive Disorders\",\"volume\":\" \",\"pages\":\"1-8\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Dementia and Geriatric Cognitive Disorders\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1159/000540364\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dementia and Geriatric Cognitive Disorders","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000540364","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
摘要
简介对轻度认知障碍(MCI)患者面部情绪识别的研究还不够深入。我们研究了 MCI 患者是否存在面部情绪识别缺陷,并分析了面部情绪识别与不同认知功能领域之间的关系。我们还分析了面部情绪识别与认知功能不同领域之间的关系:这项研究包括 300 名年龄在 60 岁以上、认知能力下降的参与者。我们对 181 名 MCI 受试者和 119 名非 MCI 受试者进行了评估,评估时使用了首尔神经心理筛查电池-核心(SNSB-C)和面部情绪识别任务,其中面部情绪识别任务使用了六种面部表情(愤怒、厌恶、恐惧、快乐、悲伤和惊讶)。研究采用广义线性模型(GLM)评估认知能力与面部情绪识别准确性之间的关系,并根据五个不同认知功能领域的受损情况比较 MCI 组的面部情绪识别能力。该模型对年龄、性别、受教育年限和抑郁症状进行了调整:结果:与认知功能健康的受试者相比,MCI 患者在准确识别面部总情绪(0.48 对 0.53;ρ= 0.0003)和惊喜(0.73 对 0.81;ρ= 0.0215)方面得分较低。我们还发现,额叶/执行功能域(数字符号编码(DSC,0.38 vs. 0.49;p < .0001)、受控口头单词联想测试(COWAT,0.42 vs. 0.49;p = 0.0001), Korean-Trail Making Test (K-TMT, 0.37 vs. 0.48; p = 0.0073), Korean-Color Word Stroop Test (K-CWST, 0.43 vs. 0.49; p = 0.0219)), and language domain (Korean-Boston Naming Test (S-K-BNT, 0.46 vs.0.47; p= 0.003))与 MCI 患者面部情绪识别缺陷在统计学上相关:结论:我们观察到,老年人面部情绪识别缺陷与认知障碍之间存在明显关联。
Deficits of Facial Emotion Recognition in Elderly Individuals with Mild Cognitive Impairment.
Introduction: 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.
Methods: 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.
Results: Patients with MCI had a lower score for accurately recognizing total facial emotion (0.48 vs. 0.53; ρ = 0.0003) and surprise (0.73 vs. 0.81; ρ = 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; p < 0.0001], Controlled Oral Word Association Test [COWAT, 0.42 vs. 0.49; p = 0.0001], Korean-Trail Making Test [K-TMT, 0.37 vs. 0.48; p = 0.0073], Korean-Color Word Stroop Test [K-CWST, 0.43 vs. 0.49; p = 0.0219]) and language domain (Korean-Boston Naming Test [S-K-BNT, 0.46 vs. 0.47; p = 0.003]) were statistically associated with the deficits of facial emotion recognition in patients with MCI.
Conclusion: We observed a significant association between deficits in facial emotion recognition and cognitive impairment in elderly individuals.
期刊介绍:
As a unique forum devoted exclusively to the study of cognitive dysfunction, ''Dementia and Geriatric Cognitive Disorders'' concentrates on Alzheimer’s and Parkinson’s disease, Huntington’s chorea and other neurodegenerative diseases. The journal draws from diverse related research disciplines such as psychogeriatrics, neuropsychology, clinical neurology, morphology, physiology, genetic molecular biology, pathology, biochemistry, immunology, pharmacology and pharmaceutics. Strong emphasis is placed on the publication of research findings from animal studies which are complemented by clinical and therapeutic experience to give an overall appreciation of the field.