Older adults detect happy facial expressions less rapidly

Saito, Akane; Sato, Wataru; Yoshikawa, Sakiko

doi:10.1098/rsos.191715

Cited by 9 publications

(6 citation statements)

References 60 publications

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“…On the other hand (Holland et al, 2018), point out that both (AM) and (AJ) do not exhibit major differences when correctly identifying emotions through facial expressions when using dynamic materials, a concept contradicted by (Beer, 2015), who mention that no matter the type of material observed, dynamic or static (AM) show worse results performing this task compared to their younger peers, (Murphy, 2010), on the other hand points out that (AM) have more problems identifying anger than (AJ). (West et al, 2012), explain that the (AM) have greater difficulty recognising the emotions of fear, anger and to a greater extent sadness, sharing the idea with other authors cited above that these people recognise disgust more easily, this study concludes by pointing out that both the (AM) and the (AJ) do not show major differences when it comes to assertively recognising the emotions happiness and surprise, an idea refuted by (Saito et al, 2020), who report that the (AM) do exhibit greater difficulties and make more mistakes than the (AJ) in identifying happiness.…”

Section: Resultssupporting

confidence: 75%

Recognition of emotions through facial expression analysis

Salinas¹,

Ortiz²,

Martínez-Suárez³

2021

S. F. J. of Dev.

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The possibility of recognizing what emotion one of our peers is experiencing has been the subject of study by various researchers over the years, Paul Ekman being the one who has delved most deeply into this subject, the most viable and simple way to achieve this would be through the analysis of people's facial expressions. The search for information was carried out using rigorous exclusion criteria such as studies corresponding to grizzly data and letters to the editor, and inclusion criteria such as studies published only in high impact journals such as PubMed, Elsevier, Taylor & Francis, ScienceDirect, APA PsycNet and Springer, PRISMA guidelines and AMSTAR check-list were used. The main objective of this systematic review was to determine whether there is sufficient scientific literature evidence to clarify whether it is possible to accurately identify the six basic universal emotions "happiness, surprise, sadness, anger, fear and disgust" proposed by Paul Ekman through facial expressions. After the analysis of the articles collected and based on the main findings, it is concluded that the recognition of emotions through facial expressions is a subject that still needs to be studied in greater depth, as suggested by the results obtained.

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Section: Resultssupporting

confidence: 75%

Recognition of emotions through facial expression analysis

Salinas¹,

Ortiz²,

Martínez-Suárez³

2021

S. F. J. of Dev.

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“…Experimental psychology studies of healthy participants have demonstrated that using the visual-search paradigm, emotional expressions were detected faster than emotionally neutral expressions 3 – 13 . For instance, Williams et al 5 instructed participants to search for target faces in arrays of distractor faces and tested the effects of emotional expressions on search behavior.…”

Section: Introductionmentioning

confidence: 99%

Impairment of emotional expression detection after unilateral medial temporal structure resection

Sato¹,

Usui

Sawada

et al. 2021

Sci Rep

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Detecting emotional facial expressions is an initial and indispensable component of face-to-face communication. Neuropsychological studies on the neural substrates of this process have shown that bilateral amygdala lesions impaired the detection of emotional facial expressions. However, the findings were inconsistent, possibly due to the limited number of patients examined. Furthermore, whether this processing is based on emotional or visual factors of facial expressions remains unknown. To investigate this issue, we tested a group of patients (n = 23) with unilateral resection of medial temporal lobe structures, including the amygdala, and compared their performance under resected- and intact-hemisphere stimulation conditions. The participants were asked to detect normal facial expressions of anger and happiness, and artificially created anti-expressions, among a crowd with neutral expressions. Reaction times for the detection of normal expressions versus anti-expressions were shorter when the target faces were presented to the visual field contralateral to the intact hemisphere (i.e., stimulation of the intact hemisphere; e.g., right visual field for patients with right hemispheric resection) compared with the visual field contralateral to the resected hemisphere (i.e., stimulation of the resected hemisphere). Our findings imply that the medial temporal lobe structures, including the amygdala, play an essential role in the detection of emotional facial expressions, according to the emotional significance of the expressions.

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“… Suzuki and Akiyama (2013) reported that when neutral expressions were presented momentarily followed by labeling of the presented expressions, the hit rate of joyful expressions decreased and false positives increased in elderly participants. On the other hand, Saito et al (2020) reported that immediate detection of joyful expressions by the visual search paradigm is less likely to occur in elderly participants. In the present study, seven different facial expressions were presented at once suggesting that happiness was relatively easy to identify.…”

Section: Discussionmentioning

confidence: 99%

Decline in Emotional Face Recognition Among Elderly People May Reflect Mild Cognitive Impairment

Ochi

Midorikawa

2021

Front. Psychol.

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BackgroundAs with cognitive function, the ability to recognize emotions changes with age. In the literature regarding the relationship between recognition of emotion and cognitive function during aging, the effects of predictors such as aging, emotional state, and cognitive domains on emotion recognition are unclear. This study was performed to clarify the cognitive functions underlying recognition of emotional facial expressions, and to evaluate the effects of depressive mood on recognition of emotion in elderly subjects, as well as to reproduce the effects of aging on the recognition of emotional facial expressions.Materials and MethodsA total of 26 young (mean age = 20.9 years) and 30 elderly subjects (71.6 years) participated in the study. All subjects participated in face perception, face matching, emotion matching, and emotion selection tasks. In addition, elderly subjects were administered a multicomponent cognitive test: the Neurobehavioral Cognitive Status Examination (Cognistat) and the Geriatric Depression Scale-Short Version. We analyzed these factors using multiple linear regression.ResultsThere were no significant differences between the two groups in the face perception task, but in the face matching, emotion matching, and emotion selection tasks, elderly subjects showed significantly poorer performance. Among elderly subjects, multiple regression analyses showed that performance on the emotion matching task was predicted by age, emotional status, and cognitive function, but paradoxical relationships were observed between recognition of emotional faces and some verbal functions. In addition, 47% of elderly participants showed cognitive decline in one or more domains, although all of them had total Cognistat scores above the cutoff.ConclusionIt might be crucial to consider preclinical pathological changes such as mild cognitive impairment when testing for age effects in elderly populations.

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Older adults detect happy facial expressions less rapidly

Cited by 9 publications

References 60 publications

Recognition of emotions through facial expression analysis

Recognition of emotions through facial expression analysis

Impairment of emotional expression detection after unilateral medial temporal structure resection

Decline in Emotional Face Recognition Among Elderly People May Reflect Mild Cognitive Impairment

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