The impact of limbic system morphology on facial emotion recognition in bipolar I disorder and healthy controls

ABSTRACTBackground:Impairments in facial emotion recognition (FER) have been detected in patients with Parkinson disease (PD). Presently, we aim at assessing differences in emotion recognition performance in PD patient groups with and without mild forms of cognitive impairment (MCI) compared to healthy controls.Methods:Performance on a concise emotion recognition test battery (VERT-K) of three groups of 97 PD patients was compared with an age-equivalent sample of 168 healthy controls. Patients were categorized into groups according to two well-established classifications of MCI according to Petersen's (cognitively intact vs. amnestic MCI, aMCI, vs. non-amnestic MCI, non-aMCI) and Litvan's (cognitively intact vs. single-domain MCI, sMCI, vs. multi-domain MCI, mMCI) criteria. Patients and controls underwent individual assessments using a comprehensive neuropsychological test battery examining attention, executive functioning, language, and memory (Neuropsychological Test Battery Vienna, NTBV), the Beck Depression Inventory, and a measure of premorbid IQ (WST).Results:Cognitively intact PD patients and patients with MCI in PD (PD-MCI) showed significantly worse emotion recognition performance when compared to healthy controls. Between-groups effect sizes were substantial, showing non-trivial effects in all comparisons (Cohen's ds from 0.31 to 1.22). Moreover, emotion recognition performance was higher in women, positively associated with premorbid IQ and negatively associated with age. Depressive symptoms were not related to FER.Conclusions:The present investigation yields further evidence for impaired FER in PD. Interestingly, our data suggest FER deficits even in cognitively intact PD patients indicating FER dysfunction prior to the development of overt cognitive dysfunction. Age showed a negative association whereas IQ showed a positive association with FER.

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Reading the Mind in the Eyes Test: Relationship with Neurocognition and Facial Emotion Recognition in Non-Clinical Youths

Psychiatry Investigation ◽

10.30773/pi.2019.0281 ◽

2020 ◽

Vol 17 (8) ◽

pp. 835-839

Author(s):

Eunchong Seo ◽

Se Jun Koo ◽

Ye Jin Kim ◽

Jee Eun Min ◽

Hye Yoon Park ◽

...

Keyword(s):

Emotion Recognition ◽

Bootstrap Method ◽

Mental Illnesses ◽

Facial Emotion Recognition ◽

Facial Emotion ◽

Raven's Standard Progressive Matrices ◽

The Mind ◽

The Impact ◽

The Relationship ◽

Reasoning By Analogy

Objective The Reading the Mind in the Eyes Test (RMET) is a common measure of the Theory of Mind. Previous studies found a correlation between RMET performance and neurocognition, especially reasoning by analogy; however, the nature of this relationship remains unclear. Additionally, neurocognition was shown to play a significant role in facial emotion recognition. This study is planned to examine the nature of relationship between neurocognition and RMET performance, as well as the mediating role of facial emotion recognition.Methods One hundred fifty non-clinical youths performed the RMET. Reasoning by analogy was tested by Raven’s Standard Progressive Matrices (SPM) and facial emotion recognition was assessed by the Korean Facial Expressions of Emotion (KOFEE) test. The percentile bootstrap method was used to calculate the parameters of the mediating effects of facial emotion recognition on the relationship between SPM and RMET scores.Results SPM scores and KOFEE scores were both statistically significant predictors of RMET scores. KOFEE scores were found to partially mediate the impact of SPM scores on RMET scores.Conclusion These findings suggested that facial emotion recognition partially mediated the relationship between reasoning by analogy and social cognition. This study highlights the need for further research for individuals with serious mental illnesses.

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Impaired Recognition of Negative Facial Emotions in Body Dysmorphic Disorder

Journal of the International Neuropsychological Society ◽

10.1017/s1355617719000419 ◽

2019 ◽

Vol 25 (08) ◽

pp. 884-889 ◽

Cited By ~ 2

Author(s):

Sally A. Grace ◽

Wei Lin Toh ◽

Ben Buchanan ◽

David J. Castle ◽

Susan L. Rossell

Keyword(s):

Emotion Recognition ◽

Face Processing ◽

Body Dysmorphic Disorder ◽

Recognition Task ◽

Facial Emotion Recognition ◽

Facial Emotion ◽

Emotional Expressions ◽

Healthy Controls ◽

Facial Emotions ◽

Healthy Control

Abstract Objectives: Patients with body dysmorphic disorder (BDD) have difficulty in recognising facial emotions, and there is evidence to suggest that there is a specific deficit in identifying negative facial emotions, such as sadness and anger. Methods: This study investigated facial emotion recognition in 19 individuals with BDD compared with 21 healthy control participants who completed a facial emotion recognition task, in which they were asked to identify emotional expressions portrayed in neutral, happy, sad, fearful, or angry faces. Results: Compared to the healthy control participants, the BDD patients were generally less accurate in identifying all facial emotions but showed specific deficits for negative emotions. The BDD group made significantly more errors when identifying neutral, angry, and sad faces than healthy controls; and were significantly slower at identifying neutral, angry, and happy faces. Conclusions: These findings add to previous face-processing literature in BDD, suggesting deficits in identifying negative facial emotions. There are treatment implications as future interventions would do well to target such deficits.

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Facial emotion recognition and its relationship to subjective and functional outcomes in remitted patients with bipolar I disorder

Bipolar Disorders ◽

10.1111/j.1399-5618.2011.00947.x ◽

2011 ◽

Vol 13 (5-6) ◽

pp. 537-544 ◽

Cited By ~ 48

Author(s):

Christine M Hoertnagl ◽

Moritz Muehlbacher ◽

Falko Biedermann ◽

Nursen Yalcin ◽

Susanne Baumgartner ◽

...

Keyword(s):

Emotion Recognition ◽

Functional Outcomes ◽

Facial Emotion Recognition ◽

Facial Emotion ◽

Bipolar I Disorder

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Facial Affect Recognition in Myasthenia Gravis

The Spanish Journal of Psychology ◽

10.1017/sjp.2013.59 ◽

2013 ◽

Vol 16 ◽

Cited By ~ 4

Author(s):

Esther Lázaro ◽

Imanol Amayra ◽

Juan Francisco López-Paz ◽

Amaia Jometón ◽

Natalia Martín ◽

...

Keyword(s):

Reaction Time ◽

Emotion Recognition ◽

Facial Expressions ◽

Recognition Accuracy ◽

Facial Affect ◽

Facial Emotion Recognition ◽

Facial Emotion ◽

Healthy Controls ◽

Emotional Facial Expressions ◽

Clinical Neurological Examination

AbstractThe assessment of facial expression is an important aspect of a clinical neurological examination, both as an indicator of a mood disorder and as a sign of neurological damage. To date, although studies have been conducted on certain psychosocial aspects of myasthenia, such as quality of life and anxiety, and on neuropsychological aspects such as memory, no studies have directly assessed facial emotion recognition accuracy. The aim of this study was to assess the facial emotion recognition accuracy (fear, surprise, sadness, happiness, anger, and disgust), empathy, and reaction time of patients with myasthenia. Thirty-five patients with myasthenia and 36 healthy controls were tested for their ability to differentiate emotional facial expressions. Participants were matched with respect to age, gender, and education level. Their ability to differentiate emotional facial expressions was evaluated using the computer-based program Feel Test. The data showed that myasthenic patients scored significantly lower (p < 0.05) than healthy controls in the total Feel score, fear, surprise, and higher reaction time. The findings suggest that the ability to recognize facial affect may be reduced in individuals with myasthenia.

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Facial Sadness Recognition is Modulated by Estrogen Receptor Gene Polymorphisms in Healthy Females

Brain Sciences ◽

10.3390/brainsci8120219 ◽

2018 ◽

Vol 8 (12) ◽

pp. 219 ◽

Cited By ~ 1

Author(s):

Mayra Gutiérrez-Muñoz ◽

Martha Fajardo-Araujo ◽

Erika González-Pérez ◽

Victor Aguirre-Arzola ◽

Silvia Solís-Ortiz

Keyword(s):

Estrogen Receptor ◽

Response Time ◽

Emotion Recognition ◽

Facial Expressions ◽

Emotional Processing ◽

Receptor Gene ◽

Recognition Task ◽

Facial Emotion Recognition ◽

Facial Emotion ◽

The Impact

Polymorphisms of the estrogen receptor ESR1 and ESR2 genes have been linked with cognitive deficits and affective disorders. The effects of these genetic variants on emotional processing in females with low estrogen levels are not well known. The aim was to explore the impact of the ESR1 and ESR2 genes on the responses to the facial emotion recognition task in females. Postmenopausal healthy female volunteers were genotyped for the polymorphisms Xbal and PvuII of ESR1 and the polymorphism rs1256030 of ESR2. The effect of these polymorphisms on the response to the facial emotion recognition of the emotions happiness, sadness, disgust, anger, surprise, and fear was analyzed. Females carrying the P allele of the PvuII polymorphism or the X allele of the Xbal polymorphism of ESR1 easily recognized facial expressions of sadness that were more difficult for the women carrying the p allele or the x allele. They displayed higher accuracy, fast response time, more correct responses, and fewer omissions to complete the task, with a large effect size. Women carrying the ESR2 C allele of ESR2 showed a faster response time for recognizing facial expressions of anger. These findings link ESR1 and ESR2 polymorphisms in facial emotion recognition of negative emotions.

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Facial emotion recognition in childhood-onset bipolar I disorder: an evaluation of developmental differences between youths and adults

Bipolar Disorders ◽

10.1111/bdi.12312 ◽

2015 ◽

Vol 17 (5) ◽

pp. 471-485 ◽

Cited By ~ 19

Author(s):

Ezra Wegbreit ◽

Alexandra B Weissman ◽

Grace K Cushman ◽

Megan E Puzia ◽

Kerri L Kim ◽

...

Keyword(s):

Emotion Recognition ◽

Developmental Differences ◽

Facial Emotion Recognition ◽

Facial Emotion ◽

Childhood Onset ◽

Bipolar I Disorder

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Facial affect recognition: Electrophysiological findings in schizophrenia

European Psychiatry ◽

10.1016/s0924-9338(11)72131-9 ◽

2011 ◽

Vol 26 (S2) ◽

pp. 424-424

Author(s):

S. Komlosi ◽

G. Csukly ◽

G. Stefanics ◽

I. Czigler ◽

P. Czobor

Keyword(s):

Emotion Recognition ◽

Face Processing ◽

Emotion Processing ◽

Facial Emotion Recognition ◽

Facial Emotion ◽

Affect Recognition ◽

Healthy Controls ◽

Emotional Face Processing ◽

Facial Emotion Processing ◽

Emotional Face

IntroductionWhile deficits in facial emotion recognition in schizophrenia have consistently been shown, the underlying neuronal mechanisms remain unclear. Electrophysiological measures, such as event-related brain potentials related to facial emotion recognition yield insight into the time course of recognizing emotional faces.ObjectivesIn our study we aimed to delineate the neurophysiological correlates of facial emotion recognition and to investigate where, when, and what components in the course of emotional information processing show impairment in schizophrenia.MethodologyWe collected data using a 128-channel EEG recording system for testing an experimental facial emotion recognition paradigm with 20 patients with schizophrenia and 20 matched healthy controls. Subjects were presented fearful and neutral emotional facial expressions on a monitor and asked to make decisions via a button press relating to either the gender or the emotion of the presented face.ResultsOur findings revealed that ERPs of pateints with schizophrenia significantly differed from those of matched healthy controls in several components and areas characteristic to facial emotion processing, showing differences in both early and late ERP components of emotional face processing. Significant main effects of task (gender vs emotion) and emotion (fear vs neutral) were also found.ConclusionThe finding that patients with schizophrenia, as compared to healthy controls, show differences in emotional face processing in several cortical areas and time intervals underlines the hypotheses that a deficit in affect recognition may originate from the impairment of a distributed facial emotion recognition network, including both early perceptual and later phases of facial emotion processing.

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