Reduced detection of positive expressions in major depression

Milders, Maarten; Bell, Stephen; Boyd, Emily; Thomson, Lewis; Mutha, Ravindra; Hay, Steven; Gopala, Anitha

doi:10.1016/j.psychres.2016.04.075

Cited by 6 publications

(9 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, whilst overall the control group exhibited significantly higher sensitivity and efficiency in decision‐making processes in response to happy faces in comparison to neutral faces, the depressed group did not. These findings support experimental research which shows that depressed participants display hypoattention to positive stimuli (McCabe & Gotlib, 1995; Milders et al., 2016). Earlier research by Kuiper and Derry (1982) suggests that depressed participants show hypoattention to positive self‐relevant information specifically.…”

Section: Discussionsupporting

confidence: 88%

See 1 more Smart Citation

Self‐referential processing and emotion context insensitivity in major depressive disorder

McIvor

Malhotra

Drury

et al. 2020

Eur J of Neuroscience

View full text Add to dashboard Cite

show abstract

Section: Discussionsupporting

confidence: 88%

“…This research is further supported by Milders et al. (2016) who conducted an attentional blink task in which happy and sad faces were presented for 100 ms. Results showed that depressed participants detected significantly fewer happy faces compared to control participants.…”

Section: Introductionsupporting

confidence: 66%

Self‐referential processing and emotion context insensitivity in major depressive disorder

McIvor

Malhotra

Drury

et al. 2020

Eur J of Neuroscience

View full text Add to dashboard Cite

show abstract

“…The response pattern also differed significantly between the groups on the static task (χ 2 =22.89; p<0.001) ( Figure 3). and contribute to the exacerbation or maintenance of depressive episodes, 29,30 which is extremely worrisome in older adults, considering the greater severity of depression in this age group. 31 In a meta-analysis, Dalili et al 8 Some studies report difficulty in discriminating surprise from fear and happiness.…”

Section: Resultsmentioning

confidence: 99%

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

Bomfim

Ribeiro

Chagas

2019

Trends Psychiatry Psychother.

View full text Add to dashboard Cite

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.

show abstract

“…Previous studies have shown that, in addition to sex (Hall and Matsumoto, 2004 ), age (Mill et al, 2009 ; Hurley et al, 2014 ) and personality (Hurley et al, 2014 ), depression (Liu et al, 2012 ; Gollan et al, 2015b ; Kerestes et al, 2016 ; Milders et al, 2016 ) can affect one’s performance when recognizing ordinary facial expressions. Depression is one of the most common mental illness (Bocharov et al, 2017 ); the official website of WHO reports that the global prevalence of patients with depression exceeds 300 million.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Ecological Micro-Expression Recognition in Patients with Depression and Healthy Individuals

Zhu

Zhang

Zhiying

et al. 2017

Front. Behav. Neurosci.

View full text Add to dashboard Cite

Previous studies have focused on the characteristics of ordinary facial expressions in patients with depression, and have not investigated the processing characteristics of ecological micro-expressions (MEs, i.e., MEs that presented in different background expressions) in these patients. Based on this, adopting the ecological MEs recognition paradigm, this study aimed to comparatively evaluate facial ME recognition in depressed and healthy individuals. The findings of the study are as follows: (1) background expression: the accuracy (ACC) in the neutral background condition tended to be higher than that in the fear background condition, and the reaction time (RT) in the neutral background condition was significantly longer than that in other backgrounds. The type of ME and its interaction with the type of background expression could affect participants’ ecological MEs recognition ACC and speed. Depression type: there was no significant difference between the ecological MEs recognition ACC of patients with depression and healthy individuals, but the patients’ RT was significantly longer than that of healthy individuals; and (2) patients with depression judged happy MEs that were presented against different backgrounds as neutral and judged neutral MEs that were presented against sad backgrounds as sad. The present study suggested the following: (1) ecological MEs recognition was influenced by background expressions. The ACC of happy MEs was the highest, of neutral ME moderate and of sadness and fear the lowest. The response to the happy MEs was significantly shorter than that of identifying other MEs. It is necessary to conduct research on ecological MEs recognition; (2) the speed of patients with depression in identifying ecological MEs was slower than of healthy individuals; indicating that the patients’ cognitive function was impaired; and (3) the patients with depression showed negative bias in the ecological MEs recognition task, reflecting the lack of happy ME recognition ability and the generalized identification of sad MEs in those patients.

show abstract

Reduced detection of positive expressions in major depression

Cited by 6 publications

References 25 publications

Self‐referential processing and emotion context insensitivity in major depressive disorder

Self‐referential processing and emotion context insensitivity in major depressive disorder

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

Comparison of Ecological Micro-Expression Recognition in Patients with Depression and Healthy Individuals

Contact Info

Product

Resources

About