Recognition of dynamic and static facial expressions of emotion among older adults with major depression

Abstract

Introduction The recognition of facial expressions of emotion is essential to living in society. However, individuals with major depression tend to interpret information considered imprecise in a negative light, which can exert a direct effect on their capacity to decode social stimuli. Objective To compare basic facial expression recognition skills during tasks with static and dynamic stimuli in older adults with and without major depression. Methods Older adults were selected through a screening process for psychiatric disorders at a primary care service. Psychiatric evaluations were performed using criteria from the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5). Twenty-three adults with a diagnosis of depression and 23 older adults without a psychiatric diagnosis were asked to perform two facial emotion recognition tasks using static and dynamic stimuli. Results Individuals with major depression demonstrated greater accuracy in recognizing sadness (p=0.023) and anger (p=0.024) during the task with static stimuli and less accuracy in recognizing happiness during the task with dynamic stimuli (p=0.020). The impairment was mainly related to the recognition of emotions of lower intensity. Conclusions The performance of older adults with depression in facial expression recognition tasks with static and dynamic stimuli differs from that of older adults without depression, with greater accuracy regarding negative emotions (sadness and anger) and lower accuracy regarding the recognition of happiness.

Social Cognition and Interpersonal Problems in Persistent Depressive Disorder vs. Episodic Depression: The Role of Childhood Maltreatment

“…In line with some previous findings [( 21); however, see also (20)], patients with depression recognized anger with higher accuracy compared with healthy controls. Surprisingly, we found no bias in the recognition of sadness and no deficits in the recognition of facial expression with positive valence as in previous studies (21,24). However, particularly with regard to the emotion recognition data, we need to discuss the statistical power to detect small effects (see below).…”

“…Dalili et al (20) report in their meta-analysis impaired emotion recognition in patients with depression for all emotions except for sadness. Other studies indicate that depressed patients have a negative response bias or lack a positive response bias compared with healthy controls, in particular when ambiguous or neutral faces are presented [e.g., (21)(22)(23)(24)]. This bias to misinterpret faces as negative could contribute to the development and maintenance of depressive symptoms.…”

Blunted emotion judgments of body movements in Parkinson’s disease

“…Furthermore, it is important to note that our findings cannot be explained by potential depression in our patient population. Indeed, as previous research has shown impaired recognition of emotional facial expressions in depressive older population, our study had excluded participants with depressive symptoms 37 , 38 .…”

An Integrative Review of Facial Emotion Information Processing in Depression

“…본 통합적 고찰에 포함된 19편의 문헌에 대한 검토를 통 해, 각 연구자들이 측정하는 결과 변인을 정확성(Accuracy), 반응시간(Reaction Time), 민감도(Sensitivity), 강도(Intensity), 해석편향(Interpretation Bias)이라는 5가지 범 주로 분류할 수 있었다. (Leppanen et al, 2004;Ryu KH et al, 2008;Miders et al, 2010;Douglas et al, 2012;Orgeta, 2014;Zwick et al, 2017;Bomfim et al, 2019 (Surguladze et al, 2004;Csukly et al, 2009;Gollan et al, 2010;Milders et al, 2010;Bomfim et al, 2019), 이와 대조적으로 몰핑된 동적 자 극을 사용한 연구들 (Ryu KH et al, 2008;Schafer et al, 2010;Zwick et al, 2017;Bomfim et al,…”