Identification of emotions in mixed disgusted-happy faces as a function of depressive symptom severity

Sánchez, Álvaro; Romero, Nuria; Maurage, Pierre; Raedt, Rudi De

doi:10.1016/j.jbtep.2017.05.002

Cited by 7 publications

(2 citation statements)

References 32 publications

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“…It may be speculated that our mixed and BN group revealed more problems when recognizing an emotional stimulus of higher complexity or ambiguity. However, these findings are rather counterintuitive, as anxiety seems to be related with a disgust-proneness and thus an accelerated processing of disgust related information, whereas in depression lower biases to distinguish positive signals in ambiguous faces have been found (17,58). In sum, our findings suggest that basic abilities to correctly identify facial emotion expressions do not differ between women suffering from AN, BN and mixed mental disorders nor HCs.…”

Section: A C C E P T E Dcontrasting

confidence: 64%

Facial Emotion Recognition Abilities in Women Experiencing Eating Disorders

et al. 2019

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OBJECTIVE: Impairments in facial emotion recognition are an underlying factor of deficits in emotion regulation and interpersonal difficulties in mental disorders and are evident in eating disorders (EDs). METHODS: We used a computerized psychophysical paradigm to manipulate parametrically the quantity of signal in facial expressions of emotion (QUEST threshold seeking algorithm). This was used to measure emotion recognition in 308 adult women (anorexia nervosa [n = 61], bulimia nervosa [n = 58], healthy controls [n = 130], and mixed mental disorders [mixed, n = 59]). The M (SD) age was 22.84 (3.90) years. The aims were to establish recognition thresholds defining how much information a person needs to recognize a facial emotion expression and to identify deficits in EDs compared with healthy and clinical controls. The stimuli included six basic emotion expressions (fear, anger, disgust, happiness, sadness, surprise), plus a neutral expression. RESULTS: Happiness was discriminated at the lowest, fear at the highest threshold by all groups. There were no differences regarding thresholds between groups, except for the mixed and the bulimia nervosa group with respect to the expression of disgust (F(3,302) = 5.97, p = .001, = .056). Emotional clarity, ED pathology, and depressive symptoms did not predict performance (RChange .010, F(1,305) 5.74, p .079). The confusion matrix did not reveal specific biases in either group. CONCLUSIONS: Overall, within-subject effects were as expected, whereas between-subject effects were marginal and psychopathology did not influence emotion recognition. Facial emotion recognition abilities in women experiencing EDs compared with women experiencing mixed mental disorders and healthy controls were similar. Although basic facial emotion recognition processes seems to be intact, dysfunctional aspects such as misinterpretation might be important in emotion regulation problems. AbstractObjective: Impairments in facial emotion recognition are an underlying factor of deficits in emotion regulation and interpersonal difficulties in mental disorders, and are evident in eating disorders (EDs). Methods:We used a computerized psychophysical paradigm to manipulate parametrically the quantity of signal in facial expressions of emotion (QUEST threshold seeking algorithm). This was used to measure emotion recognition in 311 adult women (anorexia nervosa (AN,n=61), bulimia nervosa (BN,n=58), healthy controls (HC,n=130) and mixed mental disorders (mixed,n=59)). The mean age was 22.84 years (SD=3.90). The aim was to establish recognition thresholds defining how much information a person needs to recognize a facial emotion expression and to identify deficits in EDs compared to healthy and clinical controls. The stimuli included six basic emotion expressions (fear, anger, disgust, happiness, sadness, surprise) plus a neutral expression. Results:Happiness was discriminated at the lowest, fear at the highest threshold by all groups.There were no differences regarding thresholds between groups, except for th...

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Section: A C C E P T E Dcontrasting

confidence: 64%

Facial Emotion Recognition Abilities in Women Experiencing Eating Disorders

et al. 2019

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“…Behaviorally, acute and potential threat are related to the accuracy of identification of emotional facial expressions. Several studies have shown that individuals suffering from depression are less accurate at identifying all emotions, especially happiness, sadness and neutral ( Dalili et al, 2015 ; Milders et al, 2010 ; Sanchez et al, 2017 ; Watters and Williams, 2011 ). In addition, individuals with anxious depression, compared to those with non-anxious depression, have been shown to have a diminished ability to recognize happy and sad facial expressions ( Berg et al, 2016 ).…”

Section: Rationale: An Rdoc Framework For Disordered Emotional Statesmentioning

confidence: 99%

The human connectome project for disordered emotional states: Protocol and rationale for a research domain criteria study of brain connectivity in young adult anxiety and depression

et al. 2020

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Through the Human Connectome Project (HCP) our understanding of the functional connectome of the healthy brain has been dramatically accelerated. Given the pressing public health need, we must increase our understanding of how connectome dysfunctions give rise to disordered mental states. Mental disorders arising from high levels of negative emotion or from the loss of positive emotional experience affect over 400 million people globally. Such states of disordered emotion cut across multiple diagnostic categories of mood and anxiety disorders and are compounded by accompanying disruptions in cognitive function. Not surprisingly, these forms of psychopathology are the leading cause of disability worldwide. The Research Domain Criteria (RDoC) initiative spearheaded by NIMH offers a framework for characterizing the relations among connectome dysfunctions, anchored in neural circuits and phenotypic profiles of behavior and self-reported symptoms. Here, we report on our Connectomes Related to Human Disease protocol for integrating an RDoC framework with HCP protocols to characterize connectome dysfunctions in disordered emotional states, and present quality control data from a representative sample of participants. We focus on three RDoC domains and constructs most relevant to depression and anxiety: 1) loss and acute threat within the Negative Valence System (NVS) domain; 2) reward valuation and responsiveness within the Positive Valence System (PVS) domain; and 3) working memory and cognitive control within the Cognitive System (CS) domain. For 29 healthy controls, we present preliminary imaging data: functional magnetic resonance imaging collected in the resting state and in tasks matching our constructs of interest (“Emotion”, “Gambling” and “Continuous Performance” tasks), as well as diffusion-weighted imaging. All functional scans demonstrated good signal-to-noise ratio. Established neural networks were robustly identified in the resting state condition by independent component analysis. Processing of negative emotional faces significantly activated the bilateral dorsolateral prefrontal and occipital cortices, fusiform gyrus and amygdalae. Reward elicited a response in the bilateral dorsolateral prefrontal, parietal and occipital cortices, and in the striatum. Working memory was associated with activation in the dorsolateral prefrontal, parietal, motor, temporal and insular cortices, in the striatum and cerebellum. Diffusion tractography showed consistent profiles of fractional anisotropy along known white matter tracts. We also show that results are comparable to those in a matched sample from the HCP Healthy Young Adult data release. These preliminary data provide the foundation for acquisition of 250 subjects who are experiencing disordered emotional states. When complete, these data will be used to develop a neurobiological model that maps connectome dysfunctions to ...

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Depressive symptomatology and different dimensions of social support serially mediate the effect of negative automatic thoughts on suicidal ideation

Dong

Zhao

2022

Curr Psychol

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Identification of emotions in mixed disgusted-happy faces as a function of depressive symptom severity

Cited by 7 publications

References 32 publications

Facial Emotion Recognition Abilities in Women Experiencing Eating Disorders

Facial Emotion Recognition Abilities in Women Experiencing Eating Disorders

The human connectome project for disordered emotional states: Protocol and rationale for a research domain criteria study of brain connectivity in young adult anxiety and depression

Depressive symptomatology and different dimensions of social support serially mediate the effect of negative automatic thoughts on suicidal ideation

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