Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Introduction: The study of facial emotion recognition is under-explored in subjects with mild cognitive impairment (MCI). We investigated whether the deficits in facial emotion recognition is 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 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 < .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 the deficits in facial emotion recognition and cognitive impairment in elderly individuals.
Introduction: The study of facial emotion recognition is under-explored in subjects with mild cognitive impairment (MCI). We investigated whether the deficits in facial emotion recognition is 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 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 < .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 the deficits in facial emotion recognition and cognitive impairment in elderly individuals.
Alzheimer’s disease (AD) is a progressive, degenerative brain disorder that impairs memory and thinking skills, leading to significant economic and humanistic burdens. It is associated with various neuropsychiatric symptoms (NPS) such as anxiety, agitation, depression, aggression, apathy, and psychosis. NPSs are common in patients with AD, affecting up to 97% of individuals diagnosed with AD. The severity of NPS is linked to disease progression and cognitive decline. NPS in Alzheimer’s disease leads to increased morbidity, mortality, caregiver burden, earlier nursing home placement, and higher healthcare costs. Despite their significant impact, clinical research on NPS in AD is limited. In clinical settings, accurately distinguishing and diagnosing NPS related to AD remains a challenge. Additionally, conventional treatments for NPS in AD are often ineffective, highlighting the need for new therapies that target these specific symptoms. Understanding these comorbidities can aid in early diagnosis and better management of AD. In this review, we provide a summary of the various neurological and psychiatric symptoms (NPS) associated with AD and new candidates under development for the treatment of NPS based on their therapeutic targets and mechanisms. On top of the conventional NPS studied so far, this review adds recent advancements in the understanding of social functional impairment in AD. This review also provides information that can contribute to the advancement of studies and translational research in this field by emphasizing therapeutic targets and mechanisms of action focused on AD-related NPS rather than conventional mechanisms targeted in AD drug development. Above all, considering the relative lack of research in this new field despite the importance of clinical, medical, and translational research, it may increase interest in NPS in AD, its pathophysiological mechanisms, and potential therapeutic candidates such as molecules with antioxidant potential.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.