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

Divergent spatiotemporal signatures characterize impaired facial emotional recognition in major depressive disorder: An event-related microstate study

BACKGROUND

Major depressive disorder (MDD) is a chronic affective mental disorder with intricate neuropathological characteristics. Microstate analysis has proved its ability to reveal the relatively stable features in a specific brain process. However, the relationship between event-related microstate networks and affective dysfunctions in patients with MDD is not well known.

METHODS

The 128-channel electroencephalogram (EEG) data from 24 MDD patients and 29 healthy controls (HCs) with facial emotion recognition (FER) tasks were used in this study. The analysis encompassed both event-related microstate parameters and specific microstate network metrics. The microstate parameters included Mean Global Field Power (mGFP), Mean Duration (mDur), Time Coverage (TC), and Segment Count Density (SegD). The network metrics evaluated were the clustering coefficient (CC), path length (Lp), global efficiency (Eg), and local efficiency (Eloc).

RESULTS

Three event-related microstates (MS-P1, MS-N170, and MS-P2) were estimated. Compared with HCs, the MDD patients showed significantly increased mGFP in MS-P1 with the sad emotion and decreased microstate parameters in MS-P2 with happy (mDur and TC) and sad (SegD and TC) emotions. Correlation results showed that MS-P1 with the sad emotion was positively related to clinical outcomes. MS-P2 with happy and sad emotions negatively correlated with clinical scores. Additionally, the microstate networks confirmed that MDD patients had decreased network efficiency of the happy emotion in MS-P1 while increased efficiency in dealing with the negative emotion in MS-P2.

CONCLUSIONS

By analyzing event-related microstates and brain networks, we provided a novel approach to demonstrate the divergent patterns for FER processing and the atypical dynamic coordination and integration of affective mechanisms underlying emotional deficits in MDD.

Behavioral and neuroanatomical correlates of facial emotion processing in post-stroke depression

BACKGROUND

Emotion processing deficits are known to accompany depressive symptoms and are often seen in stroke patients. Little is known about the influence of post-stroke depressive (PSD) symptoms and specific brain lesions on altered emotion processing abilities and how these phenomena develop over time. This potential relationship may impact post-stroke rehabilitation of neurological and psychosocial function. To address this scientific gap, we investigated the relationship between PSD symptoms and emotion processing abilities in a longitudinal study design from the first days post-stroke into the early chronic phase.

METHODS

Twenty-six ischemic stroke patients performed an emotion processing task on videos with emotional faces ('happy,' 'sad,' 'anger,' 'fear,' and 'neutral') at different intensity levels (20%, 40%, 60%, 80%, 100%). Recognition accuracies and response times were measured, as well as scores of depressive symptoms (Montgomery-Åsberg Depression Rating Scale). Twenty-eight healthy participants matched in age and sex were included as a control group. Whole-brain support-vector regression lesion-symptom mapping (SVR-LSM) analyses were performed to investigate whether specific lesion locations were associated with the recognition accuracy of specific emotion categories.

RESULTS

Stroke patients performed worse in overall recognition accuracy compared to controls, specifically in the recognition of happy, sad, and fearful faces. Notably, more depressed stroke patients showed an increased processing towards specific negative emotions, as they responded significantly faster to angry faces and recognized sad faces of low intensities significantly more accurately. These effects obtained for the first days after stroke partly persisted to follow-up assessment several months later. SVR-LSM analyses revealed that inferior and middle frontal regions (IFG/MFG) and insula and putamen were associated with emotion-recognition deficits in stroke. Specifically, recognizing happy facial expressions was influenced by lesions affecting the anterior insula, putamen, IFG, MFG, orbitofrontal cortex, and rolandic operculum. Lesions in the posterior insula, rolandic operculum, and MFG were also related to reduced recognition accuracy of fearful facial expressions, whereas recognition deficits of sad faces were associated with frontal pole, IFG, and MFG damage.

CONCLUSION

PSD symptoms facilitate processing negative emotional stimuli, specifically angry and sad facial expressions. The recognition accuracy of different emotional categories was linked to brain lesions in emotion-related processing circuits, including insula, basal ganglia, IFG, and MFG. In summary, our study provides support for psychosocial and neural factors underlying emotional processing after stroke, contributing to the pathophysiology of PSD.

Pain E-motion Faces Database (PEMF): Pain-related micro-clips for emotion research

A large number of publications have focused on the study of pain expressions. Despite the growing knowledge, the availability of pain-related face databases is still very scarce compared with other emotional facial expressions. The Pain E-Motion Faces Database (PEMF) is a new open-access database currently consisting of 272 micro-clips of 68 different identities. Each model displays one neutral expression and three pain-related facial expressions: posed, spontaneous-algometer and spontaneous-CO2 laser. Normative ratings of pain intensity, valence and arousal were provided by students of three different European universities. Six independent coders carried out a coding process on the facial stimuli based on the Facial Action Coding System (FACS), in which ratings of intensity of pain, valence and arousal were computed for each type of facial expression. Gender and age effects of models across each type of micro-clip were also analysed. Additionally, participants' ability to discriminate the veracity of pain-related facial expressions (i.e., spontaneous vs posed) was explored. Finally, a series of ANOVAs were carried out to test the presence of other basic emotions and common facial action unit (AU) patterns. The main results revealed that posed facial expressions received higher ratings of pain intensity, more negative valence and higher arousal compared with spontaneous pain-related and neutral faces. No differential effects of model gender were found. Participants were unable to accurately discriminate whether a given pain-related face represented spontaneous or posed pain. PEMF thus constitutes a large open-source and reliable set of dynamic pain expressions useful for designing experimental studies focused on pain processes.

Gender Differences in Facial Emotion Recognition Among Adolescents Depression with Non-Suicidal Self-Injury

Objective

Despite the perception that healthy female are superior at emotional identification, it remains unclear whether gender-specific differences exist in adolescent depression and whether such specific differences in emotional recognition are associated with the most salient feature of adolescent depression---non-suicidal self-injury (NSSI).

Methods

In this study, 1428 adolescents (1136 females and 292 males) with depression and NSSI were examined using the Facial Emotion Recognition Task, Patient Health Questionnaire-9 (PHQ-9), and Functional Assessment of Self-mutilation questionnaire (FASM). This study was grouped by gender. Data were analyzed using the descriptive statistics, independent sample t-test, chi-square test, non-parametric test (Mann-Whitney U-test), Spearman correlation and Multiple linear regression analysis.

Results

Depressed females reported a significantly greater frequency of self-injurious behaviour and more severe depressive symptoms than males. Face emotion recognition was also significantly more accurate in females and was positively correlated with levels of self-injury and depression, whereas no such correlations were found in males. Among depressed adolescents, face emotion recognition is better in females and is associated with self-injurious behaviour.

Conclusion

This study found that the greater susceptibility to depression and NSSI among adolescent females may stem in part from superior recognition and sensitivity to the negative emotions of others.

Facial emotion recognition in patients with depression compared to healthy controls when using human avatars

The negative, mood-congruent cognitive bias described in depression, as well as excessive rumination, have been found to interfere with emotional processing. This study focuses on the assessment of facial recognition of emotions in patients with depression through a new set of dynamic virtual faces (DVFs). The sample consisted of 54 stable patients compared to 54 healthy controls. The experiment consisted in an emotion recognition task using non-immersive virtual reality (VR) with DVFs of six basic emotions and neutral expression. Patients with depression showed a worst performance in facial affect recognition compared to healthy controls. Age of onset was negatively correlated with emotion recognition and no correlation was observed for duration of illness or number of lifetime hospitalizations. There was no correlation for the depression group between emotion recognition and degree of psychopathology, excessive rumination, degree of functioning, or quality of life. Hence, it is important to improve and validate VR tools for emotion recognition to achieve greater methodological homogeneity of studies and to be able to establish more conclusive results.

Blunted superior temporal gyrus activity to negative emotional expression after mindfulness-based cognitive therapy for late-life depression

Facial emotion recognition plays an important role in social functioning. Patients with late-life depression (LLD) often have abnormal facial emotion recognition. Mindfulness-based cognitive therapy (MBCT) is beneficial in treating depression. This study examined whether MBCT can act as an effective augmentation of antidepressants and improve facial emotion recognition in patients with LLD and its underlying neural mechanism. Patients with LLD were randomized into two groups (n = 30 per group). The MBCT group received an eight-week MBCT in conjunction with stable medication treatment. The other group was treated as usual (TAU group) with stable medication treatment. The positive affect (PA) scale, negative affect (NA) scale, and facial emotion recognition task with an fMRI scan were performed before and after the trial. After eight weeks of treatment, the repeated ANOVA showed that the PA score in the MBCT group significantly increased [F_(1,54) = 13.31, p = 0.001], but did not change significantly [F_(1,54) = 0.58, p = 0.449] in the TAU group. The NA scores decreased significantly in both the MBCT group [F_(1,54) = 19.01, p < 0.001] and the TAU group [F_(1,54) = 16.16, p < 0.001]. Patients showed an increase in recognition accuracy and speed of angry and sad faces after 8 weeks of MBCT. No improvement was detected in the TAU group after treatment. A significant interaction effect was found in the change of activation of the left superior temporal gyrus (L-STG) to negative emotional expression between time and groups. Furthermore, a decrease in activation of L-STG to negative emotional expression was positively correlated with the increase in PA score. The MBCT is beneficial for improving affect status and facial emotion recognition in patients with LLD, and the L-STG is involved in this process.

Posterior-prefrontal and medial orbitofrontal regions play crucial roles in happiness and sadness recognition

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Brain areas underlying trade-off relations between emotions were identified.

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Damage to the PPF area reduces accuracy of happiness recognition.

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Damage to the PPF increases accuracy of sadness recognition.

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A similar tendency was observed in orbitofrontal regions for sadness recognition.

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Only a deficit in sadness, but not happiness, persisted in the chronic phase.

The core brain regions responsible for basic human emotions are not yet fully understood. We investigated the key areas responsible for emotion recognition of facial expressions of happiness and sadness using data obtained from patients who underwent local brain resection. A total of 44 patients with right cerebral hemispheric brain tumors and 33 healthy volunteers were enrolled and subjected to a facial expression recognition test. Voxel-based lesion-symptom mapping was performed to investigate the relationship between the accuracy of emotion recognition and the resected regions. Consequently, trade-off relationships were discovered: the posterior-prefrontal region was related to a low score of happiness recognition and a high score of sadness recognition (disorder-of-happiness group), whereas the medial orbitofrontal region was related to a low score of sadness recognition and a high score of happiness recognition (disorder-of-sadness group). The emotion recognition score in both the happiness and sadness disorder groups was significantly lower than that in the control group (p = 0.0009 and p = 0.021, respectively). Interestingly, the deficit in happiness recognition was temporary, whereas the deficit in sadness recognition persisted during the chronic phase. Using graph theoretical analysis, we identified structural connectivity between the posterior-prefrontal and medial orbitofrontal regions. When either of these regions was damaged, the tract volume connecting them was significantly reduced (p = 0.013). These results indicate that the posterior-prefrontal and medial orbitofrontal regions may be crucial for maintaining a balance between happiness and sadness recognition in humans. Investigating the clinical impact of certain area resections using lesion studies combined with connectivity analysis is a useful neuroimaging method for understanding neural networks.

Oxytocin effects on the cognition of women with postpartum depression: A randomized, placebo-controlled clinical trial

BACKGROUND

One of the most common mental disorders in the perinatal period is postpartum depression (PPD), which is associated with impaired emotional functioning due to alterations in different cognitive aspects including thought and facial emotion recognition (FER). Emotional impairments may affect the interaction and care offered to infants and their later development and therefore interventions with potential to minimize impairments associated with PPD are opportune. Oxytocin (OXT) was shown to have therapeutic properties associated with the promotion of affiliative and pro-social behaviors in different mental disorders. Few studies have assessed its therapeutic potential in PPD.

OBJECTIVES

To assess the effects of the acute administration of intranasal OXT (24 IU) on FER of baby faces and negative thoughts after delivery in mothers with and without PPD.

METHODS

We conducted a randomized double-blind, placebo-controlled trial with a crossover design involving mothers with PPD (N = 20) and without PPD (N = 35) in the puerperium. Participants completed a static task of FER of baby faces and a questionnaire of post-natal negative thoughts.

RESULTS

Mothers with PPD had increased scores of negative thoughts about motherhood/infants, but no impairments in FER, when compared to healthy mothers. OXT had no effects on the rates of correct judgments or response times in the FER task, but was associated with response biases to facial happiness and the reduction of negative thoughts in mothers with PPD.

DISCUSSION/CONCLUSION

OXT may have positive effects on maternal affiliative behavior, maternal care, and mother-infant interactions as suggested by changes found in different cognitive aspects, thus minimizing the deleterious effects of PPD on child development.

The Borderline Bias in Explicit Emotion Interpretation

Atypical emotion interpretation has been widely reported in individuals with borderline personality disorder (iBPD); however, empirical studies reported mixed results so far. We suggest that discrepancies in observations of emotion interpretation by iBPD can be explained by biases related to their fear of rejection and abandonment, i.e., the three moral emotions of anger, disgust, and contempt. In this study, we hypothesized that iBPD would show a higher tendency to correctly interpret these three displays of social rejection and attribute more negative valence. A total of 28 inpatient iBPDs and 28 healthy controls were asked to judge static and dynamic facial expressions in terms of emotions, valence, and self-reported arousal evoked by the observed faces. Our results partially confirmed our expectations. The iBPD correctly interpreted the three unambiguous moral emotions. Contempt, a complex emotion with a difficulty in recognizing facial expressions, was recognized better by iBPD than by healthy controls. All negative emotions were judged more negatively by iBPD than by controls, but no difference was observed in the neutral or positive emotion. Alexithymia and anxiety trait and state levels were controlled in all analyses.

Blunted emotion judgments of body movements in Parkinson's disease

Some of the behavioral disorders observed in Parkinson’s disease (PD) may be related to an altered processing of social messages, including emotional expressions. Emotions conveyed by whole body movements may be difficult to generate and be detected by PD patients. The aim of the present study was to compare valence judgments of emotional whole body expressions in individuals with PD and in healthy controls matched for age, gender and education. Twenty-eight participants (13 PD patients and 15 healthy matched control participants) were asked to rate the emotional valence of short movies depicting emotional interactions between two human characters presented with the “Point Light Displays” technique. To ensure understanding of the perceived scene, participants were asked to briefly describe each of the evaluated movies. Patients’ emotional valence evaluations were less intense than those of controls for both positive (p < 0.001) and negative (p < 0.001) emotional expressions, even though patients were able to correctly describe the depicted scene. Our results extend the previously observed impaired processing of emotional facial expressions to impaired processing of emotions expressed by body language. This study may support the hypothesis that PD affects the embodied simulation of emotional expression and the potentially involved mirror neuron system.

Negative bias in interpretation and facial expression recognition in late life depression: A case control study

OBJECTIVES

While cognitive bias in younger adults with depression has been extensively researched, there have been relatively few investigations of the presence of cognitive bias in late life depression (LLD). This exploratory study aimed to ascertain whether negative cognitive bias exists across a range of cognitive domains in participants with LLD.

METHODS/DESIGN

Participants were 19 patients with LLD and 19 matched non-depressed older adults. Participants completed standardised tests to assess bias in facial expression recognition, attention, recall of adjectives and interpretation.

RESULTS

LLD participants were slower to identify surprised faces, and more likely to create negative statements in the interpretation task. There was no evidence of negative bias in memory or attention, but participants with LLD performed more poorly on the recall task.

CONCLUSIONS

This study provides new evidence of negative bias in interpretation in LLD, but the findings are not consistent with a global cognitive bias Further work is needed to investigate cognitive bias in LLD. It may be that interventions which target negative interpretation biases, such as cognitive bias modification, could be helpful in treating LLD.

Autonomic dysregulation and impairments in the recognition of facial emotional expressions in patients with chronic musculoskeletal pain

OBJECTIVES

Emotions are involved in the identification of safety cues in the environment, and are also related to social interaction through recognition of emotional facial expressions. Heart rate variability (HRV) can be an indicator of the adaptive response of the autonomic nervous system to stressful conditions, including pain. This study aimed to investigate the emotional processing in a sample of patients with chronic musculoskeletal by measuring the resting-state HRV and the ability to recognize facial emotion expressions.

METHODS

This cross-sectional study was composed of 40 participants with chronic musculoskeletal pain and 40 asymptomatic participants. Resting HRV was measured for 10 min. The facial emotion recognition task was presented in videos and included modification from a neutral expression to faces of fear, anger, sadness, happiness, and disgust. For the facial emotion recognition task, the hit rate (%) and response time for each emotional category were measured.

RESULTS

The symptomatic group had a mean high frequency (HF) lower (mean = 34.14; SD = 16.95; p<0.001) than the asymptomatic group (mean = 51.11; SD = 13.01; p<0.001). The emotional facial expressions of disgust (H (1, 80)=7.82; p<0.01), anger (H (1, 80)=13.56; p<0.01), sadness (H (1, 80)=6.58; p=0.01), and happiness (H (1, 80)=12.68; p<0.01) were those for which volunteers from the symptomatic group had a lower hit rate of correct answers compared to the asymptomatic group. The response time to corrected answers showed a major group effect (F (1.77)=21.11; p<0.001) and emotional category (F (4.308)=174.21; p<0.001), without presenting any interaction between the factors (F (4.308)=0.446; p=0.775). The symptomatic group was slower to perform the task of identifying facial emotional expression (7.066 s; SD = 1.188) than the participants in the asymptomatic group (6.298 s; SD = 1.203) for all emotional categories.

CONCLUSIONS

Participants with chronic musculoskeletal pain presented a lower vagal activity evidenced by HRV. Participants in the symptomatic group showed lower ability to recognize faces of disgust, anger, and sadness when compared to asymptomatic participants. Considering that individuals with low resting HF-HRV have difficulties with regulating their emotions, the lower vagal activity and lower ability to recognize faces of emotional expressions observed in chronic musculoskeletal pain may suggest alterations in emotional processing. This study may shed light on changes in the emotional processing and in the autonomic nervous system in this population.

Geriatric Depression and Cognitive Impairment-An Update

BACKGROUND

Depression and cognitive impairment often coexist in older adults. The relation between depression and cognitive impairment is complex. The objective of this article is to review recent literature on cognitive impairment in older adults with depression and provide clinicians an update.

METHODS

We searched PubMed, Google Scholar, Science Direct, and Psych Info for the articles published in the English language related to late-life depression (LLD)/geriatric depression and cognitive impairment. We considered original research articles, relevant systematic reviews, chapters, and important conceptual articles published in the last 9 years (2011-2019). We selected relevant articles for this narrative review.

CONCLUSION

The concept pseudodementia, indicating depression with cognitive impairment mimicking dementia, is now seen only as a historical concept. The current literature strongly agrees with fact that cognitive deficits often exist in LLD. The cognitive deficits in depression were initially seen as trait marker; however, some recent studies suggest that cognitive deficits persist even in the remission phase. There is heterogeneity among the studies in terms of the nature of the cognitive deficits, but higher number of studies reported impairment in attention and executive function. LLD with cognitive deficits is at a higher risk of progression to dementia. In older adults, depression with cognitive impairments requires a comprehensive evaluation. Electroencephalography, event-related potentials, fluorodeoxyglucose-positron emission tomography, amyloid positron emission tomography, and CSF amyloid will supplement clinical evaluation in differentiating functional depressive disorder with cognitive impairment from depression with an underlying degenerative condition.

Are facial emotion recognition tasks adequate for assessing social cognition in older people? A review of the literature

OBJECTIVE

Facial emotion recognition (FER) is a component of social cognition and important to interpersonal relations. Therefore, tasks have been developed to assess this skill in different population. Regarding older people, even healthy individuals have a poorer performance compared to rate of correct answers commonly used to assess such tasks. Perform a systematic review to analyze studies addressing the performance of healthy older adults on FER tasks compared to the 70% correct response rate commonly used for the creation of stimulus banks.

MATERIAL AND METHODS

Searches were conducted up to May 2019 in the Pubmed, PsycInfo, Web of Science, and Scopus databases using the keywords ("faces" OR "facial") AND ("recognition" OR "expression" OR "emotional") AND ("elderly" OR "older adults").

RESULTS

Twenty-seven articles were included in the present review. In 16 studies (59.2%), older people had correct response rates on FER lower than 70% on at least one of the emotions evaluated. Among the studies that evaluated each emotion specifically, 62.5% found correct response rates lower than 70% for the emotion fear, 50% for surprise, 50% for sadness, 37.5% for anger, 21.4% for disgust, and 5.9% for happiness. Moreover, the studies that evaluated the level of intensity of the emotions demonstrated a lower rate of correct responses when the intensity of the facial expression was low.

CONCLUSION

That studies employ methods and facial stimuli that may not be adequate for measuring this skill in older people. Thus, it is important to create adequate tasks for assessing the skill in this population.

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

Objective: Little is known about the specific psychological features that differentiate persistent depressive disorder (PDD) and episodic depression (ED). Thus, the present study aimed to investigate differences in social cognition and interpersonal problems between these two forms of depression and healthy controls. In addition, we aimed to examine childhood maltreatment (CM) as a possible origin of these alterations. Methods: In a cross-sectional study, adult patients with a current PDD (n = 34) or in a current episode of ED (n = 38), and healthy controls (n = 39) completed questionnaires about depression severity, empathy, interpersonal problems, and CM, as well as tests of affective theory of mind and facial emotion recognition. Results: Patients with PDD reported higher empathic distress than patients with ED and healthy controls. Both depressive groups recognized angry faces with higher accuracy and reported more interpersonal problems, with no differences between PDD and ED. Empathic distress and interpersonal problems mediated the link between CM and depression in the combined sample. Limitations: Patient groups were not drug-naïve and antidepressant intake might have influenced social-cognitive functions. Self-report measures of empathy and interpersonal problems are vulnerable to bias. The cross-sectional design does not allow causal conclusions. Conclusion: Depressed patients may not show deficits in decoding the affective states of others and in feeling with others. However, depressed individuals-in particular patients with PDD-may feel easily overwhelmed by emotionally tense situations, resulting in empathic distress and avoidant/submissive interpersonal behavior. Exposure to CM might be an origin of alterations in social cognition and interpersonal problems.