scholarly journals FACIAL EXPRESSION RECOGNITION IN MILD AND MODERATE ALZHEIMER’S DISEASE

2021 ◽  
Author(s):  
Marcia Dourado ◽  
José Pedro Simões Neto ◽  
Gilberto Alves ◽  
Cândida Alves
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Facial Expression ◽  
Facial Expression Recognition ◽  
Emotional Processing ◽  
Neuropsychiatric Symptoms ◽  
Expression Recognition ◽  
Global Score ◽  
Picture Stimuli ◽  
And Task

Background: Facial expression recognition is essential for social cognition. Objectives: To compare facial expression recognition in mild and moderate Alzheimer’s disease (AD) and identify the cognitive and clinical factors associated with impairment according to disease severity. Methods: Participants with AD (n=52). FACES includes four subtasks: matching expressions with picture stimuli (tasks1and 2), labelling emotions (task 3) and recognizing emotional situations (task 4). Results: There were significant differences between groups in FACES global score, task 2 and task 4. In mild AD, FACES global score was related to educational level and cognition; comprehension and constructive praxis impacted task 1; cognitive flexibility impacted task 2, and task 3 was related to word finding. There were no significant associations in task 4 after adjusting for level of cognition. The moderate AD group showed that awareness of emotional state was related to FACES global score, constructive praxis impacted task 2, task 3 was related to neuropsychiatric symptoms, and the ability to recognize emotions through situations impacted task 4. There was no significant associations in task 2, after adjusting for level of cognition. Conclusions: There are emotional processing difficulties across AD stages. However, there was no influence of cognitive impairment in the recognition of emotional situations in both groups.

Facial Expression Recognition Patterns in Mild and Moderate Alzheimer’s Disease

2019 ◽  
Vol 69 (2) ◽  
pp. 539-549 ◽  
Author(s):  
Marcia Cristina Nascimento Dourado ◽  
Bianca Torres Mendonça de Melo Fádel ◽  
José Pedro Simões Neto ◽  
Gilberto Alves ◽  
Cândida Alves
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Facial Expression ◽  
Facial Expression Recognition ◽  
Expression Recognition

Facial expression recognition in Alzheimer’s disease: A systematic review

2018 ◽  
Vol 41 (2) ◽  
pp. 192-203 ◽  
Author(s):  
Bianca Torres Mendonça De Melo Fádel ◽  
Raquel Luiza Santos De Carvalho ◽  
Tatiana Teresa Belfort Almeida Dos Santos ◽  
Marcia Cristina Nascimento Dourado
Keyword(s):  
Systematic Review ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Facial Expression ◽  
Facial Expression Recognition ◽  
Expression Recognition

scholarly journals Facial expression recognition in Alzheimer’s disease: a longitudinal study

2015 ◽  
Vol 73 (5) ◽  
pp. 383-389 ◽  
Author(s):  
Bianca Torres ◽  
Raquel Luiza Santos ◽  
Maria Fernanda Barroso de Sousa ◽  
José Pedro Simões Neto ◽  
Marcela Moreira Lima Nogueira ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Facial Expressions ◽  
Longitudinal Design ◽  
Recognition Task ◽  
Expression Recognition ◽  
Experimental Task ◽  
Stimulus Situation ◽  
Significant Difference ◽  
Picture Stimuli

Facial recognition is one of the most important aspects of social cognition. In this study, we investigate the patterns of change and the factors involved in the ability to recognize emotion in mild Alzheimer’s disease (AD). Through a longitudinal design, we assessed 30 people with AD. We used an experimental task that includes matching expressions with picture stimuli, labelling emotions and emotionally recognizing a stimulus situation. We observed a significant difference in the situational recognition task (p ≤ 0.05) between baseline and the second evaluation. The linear regression showed that cognition is a predictor of emotion recognition impairment (p ≤ 0.05). The ability to perceive emotions from facial expressions was impaired, particularly when the emotions presented were relatively subtle. Cognition is recruited to comprehend emotional situations in cases of mild dementia.

scholarly journals Emotional Processing in Healthy Ageing, Mild Cognitive Impairment, and Alzheimer’s Disease

2021 ◽  
Vol 18 (5) ◽  
pp. 2770
Author(s):  
José Cárdenas ◽  
María J. Blanca ◽  
Fernando Carvajal ◽  
Sandra Rubio ◽  
Carmen Pedraza
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Emotional Processing ◽  
Cognitive Demand ◽  
Expression Recognition ◽  
Neurocognitive Deficits ◽  
Preclinical Diagnosis ◽  
Insight Into

Emotional processing, particularly facial expression recognition, is essential for social cognition, and dysfunction may be associated with poor cognitive health. In pathological ageing conditions, such as mild cognitive impairment (MCI) and Alzheimer’s disease (AD), in which cognitive impairments are present, disturbed emotional processing and difficulty with social interactions have been documented. However, it is unclear how pathological ageing affects emotional processing and human social behaviour. The aim of this study is to provide insight into how emotional processing is affected in MCI and AD and whether this capacity can constitute a differentiating factor allowing the preclinical diagnosis of both diseases. For this purpose, an ecological emotional battery adapted from five subsets of the Florida Affect Battery was used. Given that emotion may not be separated from cognition, the affect battery was divided into subtests according to cognitive demand, resulting in three blocks. Our results showed that individuals with MCI or AD had poorer performance on the emotional processing tasks, although with different patterns, than that of controls. Cognitive demand may be responsible for the execution patterns of different emotional processing tests. Tasks with moderate cognitive demand are the most sensitive for discriminating between two cognitive impairment entities. In summary, emotional processing tasks may aid in characterising the neurocognitive deficits in MCI or AD. Additionally, identifying these deficits may be useful for developing interventions that specifically target these emotional processing problems.

scholarly journals The effects of medication and current mood upon facial emotion recognition: findings from a large bipolar disorder cohort study

2016 ◽  
Vol 31 (3) ◽  
pp. 320-326 ◽  
Author(s):  
Amy C Bilderbeck ◽  
Lauren Z Atkinson ◽  
John R Geddes ◽  
Guy M Goodwin ◽  
Catherine J Harmer
Keyword(s):  
Bipolar Disorder ◽  
Depressive Symptoms ◽  
Facial Expression ◽  
Facial Expression Recognition ◽  
Emotional Processing ◽  
Mood State ◽  
Recognition Task ◽  
Dopamine Antagonists ◽  
Expression Recognition ◽  
Current Mood

Objectives: Emotional processing abnormalities have been implicated in bipolar disorder (BD) but studies are typically small and uncontrolled. Here, facial expression recognition was explored in a large and naturalistically recruited cohort of BD patients. Methods: 271 patients with BD completed the facial expression recognition task. The effects of current medication together with the influence of current mood state and diagnostic subtype were assessed whilst controlling for the effects of demographic variables. Results: Patients who were currently receiving treatment with lithium demonstrated significantly poorer accuracy in recognising angry faces, an effect that held in a monotherapy sub-analysis comparing those participants on lithium only and those who were medication-free. Accuracy in recognising angry faces was also lower amongst participants currently taking dopamine antagonists (antipsychotics). Higher levels of current depressive symptoms were linked to poorer accuracy at identifying happy faces. Conclusion: Use of lithium and possibly dopamine antagonists may be associated with reduced processing of anger cues in BD. Findings support the existence of mood-congruent negative biases associated with depressive symptoms in BD. Observational cohort studies provide opportunities to explore the substantial effects of demographic, psychometric and clinical variables on cognitive performance and emotional processing.

scholarly journals Facial Expression Recognition Based on Deep Learning Convolution Neural Network: A Review

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Sharmeen M. Saleem Abdullah ◽  
◽  
Adnan Mohsin Abdulazeez ◽  
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Facial Expression ◽  
Facial Expressions ◽  
Video Game ◽  
Facial Expression Recognition ◽  
Emotional Processing ◽  
Convolution Neural Network ◽  
Data Sets ◽  
Expression Recognition

Facial emotional processing is one of the most important activities in effective calculations, engagement with people and computers, machine vision, video game testing, and consumer research. Facial expressions are a form of nonverbal communication, as they reveal a person's inner feelings and emotions. Extensive attention to Facial Expression Recognition (FER) has recently been received as facial expressions are considered. As the fastest communication medium of any kind of information. Facial expression recognition gives a better understanding of a person's thoughts or views and analyzes them with the currently trending deep learning methods. Accuracy rate sharply compared to traditional state-of-the-art systems. This article provides a brief overview of the different FER fields of application and publicly accessible databases used in FER and studies the latest and current reviews in FER using Convolution Neural Network (CNN) algorithms. Finally, it is observed that everyone reached good results, especially in terms of accuracy, with different rates, and using different data sets, which impacts the results.

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