Emotional context effect on recognition of varying facial emotion expression intensities in depression

Yildirim-Celik, Hande; Eroglu, Seda; Oğuz, Kaya; Karakoc-Tugrul, Gulser; Erdogan, Yigit; İsman-Haznedaroglu, Damla; Eker, Çağdaş; Gönül, Ali Saffet

doi:10.1016/j.jad.2022.04.070

Cited by 5 publications

(2 citation statements)

References 40 publications

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“…Median RT reciprocal has shown a significant negative correlation with multiple variables such as cognitive impairment, insomnia, and despair. Our findings are consistent with those reported in a previous study [22] in which MDD patients were slower in recognizing emotions, indicating that they have a longer time that relates to cognitive impairment. Prior investigations used a similar approach that utilized other biomarkers, such as interleukin IL-6 [23], as predictors of MDD or focused on possible links with inflammation [24] and depression and suggested that patients with a higher C-reactive protein (CRP) level had higher depression severity, more somatic depressive symptoms, higher body mass index, higher fatigue scores, and lower selective serotonin reuptake inhibitors intake, whereas those with higher CRP levels (≥3 mg/L) showed poorer performance related to information speed and RT.…”

Section: Discussionsupporting

confidence: 93%

Psychomotor Vigilance Task indices are correlated with and can predict the Major Depressive Disorder

Fan,

Zhong,

et al. 2023

Preprint

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Background: Accurate assessment of major depressive disorder (MDD) has been a common topic with regard to assessment tools and psychopathology. Currently, popular tools such as the Self-rating Depression Scale (SDS) and other self-report assessments are insufficient, as patients might be incapable of recalling or evaluating themselves. The psychomotor vigilance task (PVT), which can be used for the evaluation of MDD, does not require patients to evaluate themselves, and thus might be a good assessment tool. Method: We selected 93 patients diagnosed with MDD to participate in this study. Each of them was evaluated using the Hamilton Depression Rating Scale (HAMD) scores and PVT indices. One-way analysis of variance ( ) of the depression level and five PVT indices was conducted to examine the association. Linear regression analysis was then conducted between the HAMD scores and PVT indices. Result: We found that certain PVT indices showed a statistically significant relationship with the HAMD and other factor scores. On linear regression analyses, the optimum reaction time (RT) median ( = 0.007) showed a positive relationship with the HAMD scores, whereas the median RT reciprocal ( = 0.039) showed a negative relationship with HAMD. Simultaneously, these two indices showed a significant relationship with some other factor scores. Conclusion: The results of this study demonstrate the usefulness of PVT indices in predicting depression severity. This evidence suggests that PVT could serve as a potential screening tool because it is quick, non-intrusive, and universally adaptable in different clinical scenarios.

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Section: Discussionsupporting

confidence: 93%

Psychomotor Vigilance Task indices are correlated with and can predict the Major Depressive Disorder

Fan,

Zhong,

et al. 2023

Preprint

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“…The studies performed during mania showed worse recognition of negative facial emotions, such as fear, anger, and sadness, compared with control subjects [3][4][5][6]. In depression, the patients Archives of Psychiatry and Psychotherapy, 2022; 4: [26][27][28][29][30][31][32][33][34] generally recognize fewer emotions, and such recognition is slower [7][8][9]. Emotional face processing can be reflected in neuroimaging changes [10].…”

Section: Introductionmentioning

confidence: 99%

Neuropsychological performance facilitates emotion recognition in bipolar disorder

Lewandowska¹,

Górna²,

Jaracz³

et al. 2022

Arch Psych Psych

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Aim of the studyIn bipolar disorder (BD), evidence for both cognitive impairment and deficit in emotion recognition has been found. Several investigations indicate that cognition and face processing can be interrelated. In this study, we assessed the correlations between cognitive functioning and emotion recognition (face expression) in patients with BD during an acute manic and depressive episode as well as in remission using a large battery of neurocognitive tests.Subject or material and methodsTwenty-four manic subjects, 21 with bipolar depression, and 22 euthymics, age-, sex-, and education-matched were included. Cognitive functions were assessed by the Wisconsin Card Sorting Test (WCST), Trail Making Test (TMT, Stroop Color-Word Interference Test (SCWT), California Verbal Learning Test (CVLT), Benton Visual Memory Test (BVRT), Rey-Osterreich Complex Figure Test (ROFT), d2 test and Verbal Fluency Test (VFT). For emotion recognition, the Penn Emotion Recognition Test and Penn Emotion Discrimination Test were employed.ResultsIn mania, performances on selected measures of the WCST, TMT, SCWT, CVLT, ROFT, d2 test, and VFT, achieved 19 positive correlations with better recognition of happiness. In depression, conducting these tests obtained 20 correlations with finer recognition of sadness. In remission, such performances acquired 18 correlations with greater identification of sadness (10 replicated those obtained in depression).DiscussionBetter emotion recognition in manic patients concerns mostly happiness, while in depression and remission, mainly sadness.ConclusionsBetter neuropsychological performance can facilitate emotion recognition. We hypothesize that the identification of sadness could be considered a biological marker of mood disorders.

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I love you but I can’t say: adaptation of the Measure of Verbally Expressed Emotion (MoVEE) to Turkish and investigation of psychometric properties

Sağlam Topal,

Yavuz Sever

2024

Curr Psychol

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This study aims to adapt the scale of “The Measure of Verbally Expressed Emotion” into Turkish and examine its psychometric properties. 614 participants were between the ages of 18–65. In the study, the Expression of Emotions Scale was used for convergent validity, and the Emotional Responsiveness Scale was used for divergent validity. According to the exploratory factor analysis, the scale has a 17-item and five-factor structure that explains approximately 66% of the total variance, and according to the confirmatory factor analysis, the goodness-of-fit values of the five-factor structure are acceptable (χ2/df = 2.98, RMSEA = 0.059, GFI = 0.94, CFI = 0.84, SRMR = 0.050). This scale, which evaluates the experience before expressing emotion, is valid and reliable for Turkish use. Expressed emotions compared on gender, education level, working and health status. It was observed that those with a psychiatric diagnosis were less comfortable expressing romantic love, and those with chronic diseases were less comfortable expressing happiness. Adapted scale will contribute to both research and practical use by using it in clinical, social psychology, and therapy studies.

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Emotional context effect on recognition of varying facial emotion expression intensities in depression

Cited by 5 publications

References 40 publications

Psychomotor Vigilance Task indices are correlated with and can predict the Major Depressive Disorder

Psychomotor Vigilance Task indices are correlated with and can predict the Major Depressive Disorder

Neuropsychological performance facilitates emotion recognition in bipolar disorder

I love you but I can’t say: adaptation of the Measure of Verbally Expressed Emotion (MoVEE) to Turkish and investigation of psychometric properties

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