Recognition of emotion from moving facial and prosodic stimuli in depressed patients

The effect of emotion recognition and mindfulness on depression symptoms: A case-control study

Abnormalities in emotion recognition (ER) are frequently reported in depression, with lower recognition accuracy in patients with major depressive disorder (MDD) when compared to healthy individuals. Mindfulness was found to directly impact the severity of depressive symptoms, by recognizing negative cognitions and dysfunctional reactions. The aims of this study were to compare ER and mindfulness levels between MDD patients and healthy controls (HCs), as well as to examine whether ER and mindfulness are related to symptom severity in MDD patients. Sixty-eight patients with MDD and 93 HCs participated in the study. A sociodemographic form, reading the mind in the eyes test (RMET), five facet mindfulness questionnaire-short form (FFMQ-S) and the Montgomery-Asberg depression scale (MADRS) were administered. Group comparison in ER and mindfulness was performed using the multivariate analysis of covariance (MANCOVA). Bivariate correlations and hierarchical linear regression analyses were performed to assess the associations between depression severity, ER and mindfulness in the patient group. Higher level of mindfulness was found in HCs relative to MDD group, however, no ER difference was present between the groups. A positive association between depression severity and the non-reactivity facet of mindfulness was found. On the other hand, ER was not significantly associated with symptom severity among individuals with MDD. Non-reactivity, unlike other dimensions of mindfulness, seems to increase with the severity of depressive symptoms among MDD patients. A particular focus on this subdimension in mindfulness techniques may yield better outcomes in alleviation of depressive symptoms.

The Sound of Emotional Prosody: Nearly 3 Decades of Research and Future Directions

Emotional voices attract considerable attention. A search on any browser using "emotional prosody" as a key phrase leads to more than a million entries. Such interest is evident in the scientific literature as well; readers are reminded in the introductory paragraphs of countless articles of the great importance of prosody and that listeners easily infer the emotional state of speakers through acoustic information. However, despite decades of research on this topic and important achievements, the mapping between acoustics and emotional states is still unclear. In this article, we chart the rich literature on emotional prosody for both newcomers to the field and researchers seeking updates. We also summarize problems revealed by a sample of the literature of the last decades and propose concrete research directions for addressing them, ultimately to satisfy the need for more mechanistic knowledge of emotional prosody.

Recognizing facial expressions of emotion amid noise: A dynamic advantage

Humans communicate internal states through complex facial movements shaped by biological and evolutionary constraints. Although real-life social interactions are flooded with dynamic signals, current knowledge on facial expression recognition mainly arises from studies using static face images. This experimental bias might stem from previous studies consistently reporting that young adults minimally benefit from the richer dynamic over static information, whereas children, the elderly, and clinical populations very strongly do (Richoz, Jack, Garrod, Schyns, & Caldara, 2015, Richoz, Jack, Garrod, Schyns, & Caldara, 2018b). These observations point to a near-optimal facial expression decoding system in young adults, almost insensitive to the advantage of dynamic over static cues. Surprisingly, no study has yet tested the idea that such evidence might be rooted in a ceiling effect. To this aim, we asked 70 healthy young adults to perform static and dynamic facial expression recognition of the six basic expressions while parametrically and randomly varying the low-level normalized phase and contrast signal (0%-100%) of the faces. As predicted, when 100% face signals were presented, static and dynamic expressions were recognized with equal efficiency with the exception of those with the most informative dynamics (i.e., happiness and surprise). However, when less signal was available, dynamic expressions were all better recognized than their static counterpart (peaking at ∼20%). Our data show that facial movements increase our ability to efficiently identify emotional states of others under the suboptimal visual conditions that can occur in everyday life. Dynamic signals are more effective and sensitive than static ones for decoding all facial expressions of emotion for all human observers.

Perceived parental depression, intrusive rumination, and internalizing problems: A three-wave longitudinal study in adolescents

Research suggests that perceiving parental depression elicits internalizing problems in adolescents, but certain studies have indicated that adolescents' internalizing problems also increase their perception of parental emotion. To further investigate the inconsistent findings about the nature of this relationship, the current study used longitudinal data to examine the causal association between adolescents' internalizing problems and the parental depression they perceived, as well as the role of intrusive rumination in the relationship. Method: In this longitudinal study, 392 adolescents who experienced the catastrophic Jiuzhaigou earthquake in 2017 were surveyed at three time points after the earthquake: 12 months (T1), 21 months (T2) and 27 months (T3). A cross-lagged panel model was used to carry out the data analysis. Results: Mutual cause-and-effect relationships were found between intrusive rumination and both perceived parental depression and internalizing problems, respectively; a unilateral causal relationship in which internalizing problems positively predicted perceived parental depression was also found. In addition, internalizing problems predicted perceived parental depression via the mediating role of intrusive rumination; similarly, intrusive rumination predicted perceived parental depression via internalizing problems. Conclusions: Internalizing problems were a risk factor for perceived parental depression, and intrusive rumination played an important role in the relationship between internalizing problems and perceived parental depression.

A Scoping Review on the Effects of Emotional Stimuli on Language Processing in People With Aphasia

PURPOSE

Emotional stimuli have been shown to influence language processing (both language comprehension and production) in people with aphasia (PWA); however, this finding is not universally reported. Effects of emotional stimuli on language performance in PWA could have clinical and theoretical implications, yet the sparsity of studies and variability among them make it difficult to appraise the significance of this effect. The purpose of this scoping review was to (a) determine the extent and range of research examining the effect of emotional stimuli on language processing in PWA, (b) summarize and evaluate research findings, and (c) identify gaps in the literature that may warrant future study.

METHOD

PsycINFO, PubMed, Web of Science, and Cumulative Index to Nursing and Allied Health Literature databases were systematically searched for articles that compared performance in response to emotional and nonemotional stimuli on at least one language measure in one or more adults with aphasia. Data related to methods and results were extracted from each article and charted in Excel.

RESULTS

Five hundred forty unique articles were found, and 18 articles, consisting of 19 studies, met inclusion/exclusion criteria for this review. Of the 19 studies included, 11 studies reported enhanced performance on a language task for emotional compared to nonemotional stimuli, seven reported no difference, and one reported worse performance for emotional compared to nonemotional stimuli. Possible modulating variables such as task type, measurement, stimulus characteristics, and sample characteristics are discussed along with gaps in the literature.

CONCLUSION

The extent of research in this area is sparse; however, there does appear to be some early evidence for better performance in response to emotional over nonemotional stimuli in PWA for some, but not all, language processes investigated.

Recognition of affective prosody in bipolar and depressive conditions: A systematic review and meta-analysis

BACKGROUND

Inconsistent results have been reported about the affective prosody recognition (APR) ability in patients with bipolar (BD) and depressive (DD) disorders. We aimed to (i) evaluate the magnitude of APR dysfunction in BD and DD patients, (ii) identify moderators for heterogeneous results, and (iii) highlight research trends in this field.

METHODS

A computerized literature search was conducted in five electronic databases from the inception to May 9th, 2022 to identify behavioural experiments that studied APR in BD or DD patients. Effect sizes were calculated using a random-effect model and recalculated after removing outliers and adjusting publication bias.

RESULTS

Twelve eligible articles totalling 16 studies were included in the meta-analysis, aggregating 612 patients and 809 healthy controls. Individual r² ranged from 0.008 to 0.355, six of which reached a medium-to-large association strength. A medium-to-large pooled effect size (Hedges g = -0.58, 95 % CI -0.75 to -0.40, p < 0.001) for overall APR impairment in BD and DD patients was obtained. The Beck Depression Inventory score and answer option number were significant moderators. Neuropsychological mechanisms, multi-modal interaction and comorbidity effects have become primary research concerns.

LIMITATIONS

Extant statistics were insufficient for disorder-specific analysis.

CONCLUSIONS

Current findings demonstrate deficits of overall APR in BD and DD patients at a medium-to-large magnitude. APR can clinically serve for early screening and prognosis, but the depression severity, task complexity and confounding variables influence patients' APR performance. Future studies should incorporate neuroimaging approaches and investigate the effects of tonal language stimuli and clinical interventions.

Music and neuro-cognitive deficits in depression

Background

Cognitive deficits are one of the core features of major depressive disorder (MDD) that play crucial role in functional recovery. Studies have explored cognitive deficits in MDD, however, given inconsistent results, especially in mild-moderate MDD. Recently, studies have explored music as cognitive ability in various clinical conditions. In MDD, large focus has been on evaluating emotion deficits and just a handful on music cognition. With growing evidence on use of music based intervention to target cognitive deficits, it is imperative to explore nature of music cognitive ability in MDD.

Aim

To examine musical and neuro-cognitive deficits in patients with mild-moderate MDD.

Methods

Patients diagnosed with mild or moderate MDD (n = 19) and matched healthy controls (HC) (n = 18) were evaluated on selected tests from NIMHANS Neuropsychological test battery and Montreal battery for evaluation of amusia (MBEA).

Results

MDD group performed significantly lower than HC on working memory (p = 0.007), verbal learning (p = 0.02) and retention (p = 0.03). Three indices were computed for a comprehensive evaluation. Groups did not differ significantly in any of the indices- focused attention, executive function, learning and memory as well as on music cognition. Focused attention and memory index predicted music cognition in HC and the combined group (MDD + HC) (p < 0.01). Attention alone contributed to 62.1% of variance in music cognition. Similarly, music cognition significantly predicted focused attention (p < 0.01).

Conclusion

Individuals with mild-moderate MDD show significant deficits in working memory, verbal learning and memory, however, not in music cognition. There exists a significant relationship between music cognition and attention, which could be implicated in use of music interventions to ameliorate cognitive deficits. Limitations of study include small sample size and heterogeneity. Future studies on larger cohort examining musical emotion perception and neurocognition is imperative to have deeper understanding of this debilitating condition.

Semantics-Prosody Stroop Effect on English Emotion Word Processing in Chinese College Students With Trait Depression

This study explored the performance of Chinese college students with different severity of trait depression to process English emotional speech under a complete semantics-prosody Stroop effect paradigm in quiet and noisy conditions. A total of 24 college students with high-trait depression and 24 students with low-trait depression participated in this study. They were required to selectively attend to either the prosodic emotion (happy, sad) or semantic valence (positive and negative) of the English words they heard and then respond quickly. Both prosody task and semantic task were performed in quiet and noisy listening conditions. Results showed that the high-trait group reacted slower than the low-trait group in the prosody task due to their bluntness and insensitivity toward emotional processing. Besides, both groups reacted faster under the consistent situation, showing a clear congruency-induced facilitation effect and the wide existence of the Stroop effect in both tasks. Only the Stroop effect played a bigger role during emotional prosody identification in quiet condition, and the noise eliminated such an effect. For the sake of experimental design, both groups spent less time on the prosody task than the semantic task regardless of consistency in all listening conditions, indicating the friendliness of basic emotion identification and the difficulty for second language learners in face of semantic judgment. These findings suggest the unneglectable effects of college students' mood conditions and noise outside on emotion word processing.

Multi-modal depression detection based on emotional audio and evaluation text

BACKGROUND

Early detection of depression is very important for the treatment of patients. In view of the current inefficient screening methods for depression, the research of depression identification technology is a complex problem with application value.

METHODS

Our research propose a new experimental method for depression detection based on audio and text. 160 Chinese subjects are investigated in this study. It is worth noting that we propose a text reading experiment to make subjects emotions change rapidly. It will be called Segmental Emotional Speech Experiment (SESE) below. We extract 384-dimensional Low-level audio features to find the differences of different emotional change in SESE. At the same time, our research propose a multi-modal fusion method based on DeepSpectrum features and word vector features to detect depression by using deep learning.

RESULTS

Our experiment proved that SESE can improve the recognition accuracy of depression and found differences in Low-level audio features. Case group and Control group, gender and age are grouped for verification. It is also satisfactory that the multi-modal fusion model achieves accuracy of 0.912 and F1 score of 0.906.

CONCLUSIONS

Our contribution is twofold. First, we propose and verify SESE, which can provide a new experimental idea for the follow-up researchers. Secondly, a new efficient multi-modal depression recognition model is proposed.

Measuring emotion recognition: Added value in diagnosing dementia of the Alzheimer's disease type

Neuropsychological tests, particularly for episodic memory, are used to classify patients in memory clinics. Still, the differential diagnosis between dementia of the Alzheimer’s disease type (Dementia‐AD), mild cognitive impairment (MCI), or major depressive disorder (MDD) is challenging. However, impairments in other domains, such as emotion recognition, an aspect of social cognition, might have additional value in distinguishing Dementia‐AD from MCI and MDD and hence signal progression of neurodegeneration. We evaluated this in patients visiting a memory clinic.

Sixty healthy controls (HC) and 143 first time attendants of an academic hospital memory clinic who were eventually classified as Dementia‐AD (n = 45), MCI (n = 47), MDD (n = 27), or No Impairment (NI, n = 24) were included. We assessed group differences in Emotion Recognition (Ekman 60 Faces Test (EFT)) and episodic memory (Dutch Rey Auditory Verbal Learning Test (RAVLT)). With multinomial and binomial regression analysis, we assessed whether EFT was added to RAVLT in distinguishing patient groups.

Dementia‐AD patients had significantly worse emotion recognition than HC, MCI, MDD, and NI groups, but no other between‐group differences were found. Episodic memory was impaired in Dementia‐AD and MCI patients. We found no memory impairments in the MDD and NI groups. Emotion recognition in addition to episodic memory was significantly better in predicting group membership than episodic memory alone.

In conclusion, emotion recognition measurement had added value for differentiation between patients first visiting memory clinics, in particular in distinguishing Dementia‐AD from MCI. We recommend the standard inclusion of emotion recognition testing in neuropsychological assessment in memory clinics.

Facial emotion recognition in major depressive disorder: A meta-analytic review

BACKGROUND

Major depressive disorder (MDD) has been associated with difficulties in social and interpersonal functioning. Deficits in emotion processing may contribute to the development and maintenance of interpersonal difficulties in MDD. Although some studies have found that MDD is associated with deficits in recognition of emotion in faces, other studies have failed to find any impairment.

METHODS

The present meta-analysis of 23 studies, with 516 dysthymic/depressed participants and 614 euthymic control participants, examined facial emotion recognition accuracy in MDD. Several potential moderators were investigated, including type of emotion, symptom severity, patient status, method of diagnosis, type of stimulus, and stimulus duration.

RESULTS

Results showed that participants with MDD in inpatient settings (Hedges' g = -0.35) and with severe levels of symptom severity (g = -0.42) were less accurate in recognizing happy facial expressions of emotion (g = -0.25) compared to participants in outpatient settings (g = -0.24) and with mild symptoms of depression (g = -0.17). Studies that presented stimuli for longer durations (g = -0.26) tended to find lower accuracy levels in dysthymic/depressed, relative to euthymic, participants.

LIMITATIONS

Limitations include a lack of studies which examined gender identity, as well as other potential moderators.

CONCLUSIONS

Results of the current study support the existence of a broad facial emotion recognition deficit in individuals suffering from unipolar depression. Clinicians should be mindful of this and other research which suggests broad-based deficits in various forms of information processing, including attention, perception, and memory in depression.

Dynamic face processing impairments are associated with cognitive and positive psychotic symptoms across psychiatric disorders

Impairments in social cognition-including recognition of facial expressions-are increasingly recognised as a core deficit in schizophrenia. It remains unclear whether other aspects of face processing (such as identity recognition) are also impaired, and whether such deficits can be attributed to more general cognitive difficulties. Moreover, while the majority of past studies have used picture-based tasks to assess face recognition, literature suggests that video-based tasks elicit different neural activations and have greater ecological validity. This study aimed to characterise face processing using video-based stimuli in psychiatric inpatients with and without psychosis. Symptom correlates of face processing impairments were also examined. Eighty-six psychiatric inpatients and twenty healthy controls completed a series of tasks using video-based stimuli. These included two emotion recognition tasks, two non-emotional facial identity recognition tasks, and a non-face control task. Symptoms were assessed using the Positive and Negative Syndrome Scale. Schizophrenia and bipolar disorder groups were significantly impaired on the emotion-processing tasks and the non-face task compared to healthy controls and patients without psychosis. Patients with other forms of psychosis performed intermediately. Groups did not differ in non-emotional face processing. Positive symptoms of psychosis correlated directly with both emotion-processing performance and non-face discrimination across patients. We found that identity processing performance was inversely associated with cognition-related symptoms only. Findings suggest that deficits in emotion-processing reflect symptom pathology independent of diagnosis. Emotion-processing deficits in schizophrenia may be better accounted for by task-relevant factors-such as attention-that are not specific to emotion processing.

Judgmental perception of co-speech gestures in MDD

Cognitive bias in depression may increase sensitivity to judgmental appraisal of communicative cues. Nonverbal communication encompassing co-speech gestures is crucial for social functioning and is perceived differentially by men and women, however, little is known about the effect of depression on the perception of appraisal. We investigate if a cognitive bias influences the perception of appraisal and judgement of nonverbal communication in major depressive disorder (MDD). During watching videos of speakers retelling a story and gesticulating, 22 patients with MDD and 22 matched healthy controls pressed a button when they perceived the speaker as appraising in a positive or negative way. The speakers were presented in four different conditions (with and without speech and with natural speaker or as stick-figures) to evaluate context effects. Inter-subject covariance (ISC) of the button-press time series measured consistency across the groups of the response pattern depending on the factors diagnosis and gender. Significant effects emerged for the factors diagnosis (p = .002), gender (p = .007), and their interaction (p < .001). The female healthy controls perceived the gestures more consistently appraising than male controls, the female patients, and male patients whereas the latter three groups did not differ. Further, the ISC measure for consistency correlated negatively with depression severity. The natural speaker video without audio speech yielded the highest responses consistency. Indeed co-speech gestures may drive these ISC effects because number of gestures but not facial shrugs correlated with ISC amplitude. During co-speech gestures, a cognitive bias led to disturbed perception of appraisal in MDD for females. Social communication is critical for functional outcomes in mental disorders; thus perception of gestural communication is important in rehabilitation.

Emotion recognition changes in a confinement situation due to COVID-19

The confinement situation experienced as a result of COVID-19 will have consequences at a psychological level. These consequences can affect emotion recognition because, due to isolation, interactions and social contacts have been drastically reduced. The aim of this study was to find out if there were differences in facial emotion recognition in two groups of young adults, one confined during COVID-19 and the other unconfined. One hundred and sixty-four young adults were tested twice, the first time unconfined, to obtain the baseline, then the sample was divided into two subgroups so that 84 were evaluated in a confined situation and 80 in an unconfined situation. . Ekman 60 Faces test, which includes the recognition of the six basic emotions (anger, disgust, fear, happiness, sadness, and surprise) was applied. The main results obtained showed that during the confinement situation there was a significant decrease in the recognition of happiness, and a significant increase in the recognition of sadness and depressed mood. Confinement significantly alters and reduces our social interactions, which can affect our mood as well as our emotional facial recognition. For this reason, health services need to engage in early detection of the psychological effects this situation will have on the population.

Deep Brain Stimulation of the Subthalamic Nucleus Influences Facial Emotion Recognition in Patients With Parkinson's Disease: A Review

Parkinson’s disease (PD) is a neurodegenerative disorder characterized by motor symptoms following dopaminergic depletion in the substantia nigra. Besides motor impairments, however, several non-motor detriments can have the potential to considerably impact subjectively perceived quality of life in patients. Particularly emotion recognition of facial expressions has been shown to be affected in PD, and especially the perception of negative emotions like fear, anger, or disgust is impaired. While emotion processing generally refers to automatic implicit as well as conscious explicit processing, the focus of most previous studies in PD was on explicit recognition of emotions only, while largely ignoring implicit processing deficits. Deep brain stimulation of the subthalamic nucleus (STN-DBS) is widely accepted as a therapeutic measure in the treatment of PD and has been shown to advantageously influence motor problems. Among various concomitant non-motor effects of STN-DBS, modulation of facial emotion recognition under subthalamic stimulation has been investigated in previous studies with rather heterogeneous results. Although there seems to be a consensus regarding the processing of disgust, which significantly deteriorates under STN stimulation, findings concerning emotions like fear or happiness report heterogeneous data and seem to depend on various experimental settings and measurements. In the present review, we summarized previous investigations focusing on STN-DBS influence on recognition of facial emotional expressions in patients suffering from PD. In a first step, we provide a synopsis of disturbances and problems in facial emotion processing observed in patients with PD. Second, we present findings of STN-DBS influence on facial emotion recognition and especially highlight different impacts of stimulation on implicit and explicit emotional processing.

The EU-Emotion Voice Database

In this study, we report the validation results of the EU-Emotion Voice Database, an emotional voice database available for scientific use, containing a total of 2,159 validated emotional voice stimuli. The EU-Emotion voice stimuli consist of audio-recordings of 54 actors, each uttering sentences with the intention of conveying 20 different emotional states (plus neutral). The database is organized in three separate emotional voice stimulus sets in three different languages (British English, Swedish, and Hebrew). These three sets were independently validated by large pools of participants in the UK, Sweden, and Israel. Participants' validation of the stimuli included emotion categorization accuracy and ratings of emotional valence, intensity, and arousal. Here we report the validation results for the emotional voice stimuli from each site and provide validation data to download as a supplement, so as to make these data available to the scientific community. The EU-Emotion Voice Database is part of the EU-Emotion Stimulus Set, which in addition contains stimuli of emotions expressed in the visual modality (by facial expression, body language, and social scene) and is freely available to use for academic research purposes.

CACNA1C risk variant affects microstructural connectivity of the amygdala

Deficits in perception of emotional prosody have been described in patients with affective disorders at behavioral and neural level. In the current study, we use an imaging genetics approach to examine the impact of CACNA1C, one of the most promising genetic risk factors for psychiatric disorders, on prosody processing on a behavioral, functional and microstructural level. Using functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) we examined key areas involved in prosody processing, i.e. the amygdala and voice areas, in a healthy population. We found stronger activation to emotional than neutral prosody in the voice areas and the amygdala, but CACNA1C rs1006737 genotype had no influence on fMRI activity. However, significant microstructural differences (i.e. mean diffusivity) between CACNA1C rs1006737 risk allele carriers and non carriers were found in the amygdala, but not the voice areas. These modifications in brain architecture associated with CACNA1C might reflect a neurobiological marker predisposing to affective disorders and concomitant alterations in emotion perception.

Attachment avoidance and fearful prosodic emotion recognition predict depression maintenance

Insecure attachment cognitions, emotion recognition biases, and their interaction are important contributors to depression susceptibility. The present study, with a prospective longitudinal design, investigated the role of negative emotion recognition in moderating the linkage from insecure attachment cognitions to elevated depressive symptoms. A sample of 96 depression-prone individuals completed measures for attachment anxiety and attachment avoidance, depression symptom severity, and a computerized facial and prosodic emotion recognition task twice with a four-week interval. Results revealed that the interaction between attachment avoidance and fearful prosodic emotion recognition significantly predicted subsequent depressive symptoms. More specifically, greater attachment avoidance with lower accuracy of fearful prosodic emotions at baseline predicted an increase of depressive symptoms over four-week interval. However, no moderating role of emotion recognition in the linkage from attachment anxiety to depression persistence was noted. The present study demonstrates that attachment avoidance and negative emotion recognition may together contribute to the maintenance of depression. The findings may be pertinent to attachment avoidance-related deactivating strategy that appears to be a specific cultural forbearance way for emotion regulation in collectivistic societies. Potential applications and future research are then suggested.

Deficits in emotion recognition are associated with depressive symptoms in youth with disruptive mood dysregulation disorder

BACKGROUND

Although severe irritability is a predictor of future depression according to recent meta-analytic evidence, other mechanisms for this developmental transition remain unclear. In this study, we test whether deficits in emotion recognition may partially explain this specific association in youth with severe irritability, defined as disruptive mood dysregulation disorder (DMDD).

METHODS

Participants aged 8-20 years (M = 13.3, SD = 2.8) included youth with DMDD, split by low depressive (DMDD/LD; n = 52) and high depressive (DMDD/HD; n = 25) symptoms, and healthy controls (HC; n = 39). A standardized computer task assessed emotion recognition of faces and voices of adults and children expressing happiness, fear, sadness, and anger. A Group (3) × Emotion (4) × Actor (2) × Modality (2) repeated measures analysis of covariance examined the number of errors and misidentification of emotions. Linear regression was then used to assess whether deficits in emotion recognition were predictive of depressive symptoms at a 1 year follow-up.

RESULTS

DMDD/HD youth were more likely to interpret happy stimuli as angry and fearful compared to DMDD/LD (happy as angry: p = 0.018; happy as fearful: p = 0.008) and HC (happy as angry: p = 0.014; happy as fearful: p = 0.024). In youth with DMDD, the misidentification of happy stimuli as fearful was associated with higher depressive symptoms at follow-up (β = 0.43, p = 0.017), independent of baseline depressive and irritability symptoms.

CONCLUSIONS

Deficits in emotion recognition are associated, cross-sectionally and longitudinally, with depressive symptoms in youth with severe irritability. Future studies should examine the neural correlates that contribute to these associations.

Linguistic analysis of the autobiographical memories of individuals with major depressive disorder

Background

Major depressive disorder (MDD) is characterized by biases in memory, attention, and cognition. The present study utilized the Linguistic Inquiry and Word Count (LIWC) to examine the content of specific autobiographical memories (AMs) recalled by individuals with MDD during an autobiographical memory task.

Methods

We examined various features of the text (including use of affective, cognitive, and self-referential terms), as well as their associations with clinical and cognitive features of MDD (depression severity, autobiographical memory specificity, amygdala activity), in 45 unmedicated adults with MDD compared to 61 healthy controls.

Results

When recalling positive memories MDD individuals used the word “I” less, fewer positive words, more words indicating present focus (present tense verbs), and fewer words overall to describe memories compared to controls. When recalling negative memories, MDD individuals used “I” more, more words indicating present focus, and more words overall to describe memories relative to controls. Depression severity was correlated with word count, the use of “I”, and words indicating present focus in negative memories and inversely correlated with word count and the use of “I” in positive memories. Autobiographical memory specificity was correlated with word count, the use of “I”, and words indicating present focus for positive memories and inversely correlated with the use of “I” and words indicating present focus for negative memories.

Limitations

Due to the nature of AM recall, we could not control for the number of memories which participants recalled in each mnemonic category.

Conclusions

Results align with literature implicating rumination and intensive self-focus in depression and suggest that interventions targeting specific word use may be therapeutically beneficial in the treatment of MDD.

ERP correlates of motivating voices: quality of motivation and time-course matters

Here, we conducted the first study to explore how motivations expressed through speech are processed in real-time. Participants listened to sentences spoken in two types of well-studied motivational tones (autonomy-supportive and controlling), or a neutral tone of voice. To examine this, listeners were presented with sentences that either signaled motivations through prosody (tone of voice) and words simultaneously (e.g. ‘You absolutely have to do it my way’ spoken in a controlling tone of voice), or lacked motivationally biasing words (e.g. ‘Why don’t we meet again tomorrow’ spoken in a motivational tone of voice). Event-related brain potentials (ERPs) in response to motivations conveyed through words and prosody showed that listeners rapidly distinguished between motivations and neutral forms of communication as shown in enhanced P2 amplitudes in response to motivational when compared with neutral speech. This early detection mechanism is argued to help determine the importance of incoming information. Once assessed, motivational language is continuously monitored and thoroughly evaluated. When compared with neutral speech, listening to controlling (but not autonomy-supportive) speech led to enhanced late potential ERP mean amplitudes, suggesting that listeners are particularly attuned to controlling messages. The importance of controlling motivation for listeners is mirrored in effects observed for motivations expressed through prosody only. Here, an early rapid appraisal, as reflected in enhanced P2 amplitudes, is only found for sentences spoken in controlling (but not autonomy-supportive) prosody. Once identified as sounding pressuring, the message seems to be preferentially processed, as shown by enhanced late potential amplitudes in response to controlling prosody. Taken together, results suggest that motivational and neutral language are differentially processed; further, the data suggest that listening to cues signaling pressure and control cannot be ignored and lead to preferential, and more in-depth processing mechanisms.

The relationship between social cognition and executive function in Major Depressive Disorder in high-functioning adolescents and young adults

To understand how cognitive dysfunction contributes to social cognitive deficits in depression, we investigated the relationship between executive function and social cognitive performance in adolescents and young adults during current and remitted depression, compared to healthy controls. Social cognition and executive function were measured in 179 students (61 healthy controls and 118 patients with depression; M_age = 20.60 years; SD_age = 3.82 years). Hierarchical regression models were employed within each group (healthy controls, remitted depression, current depression) to examine the nature of associations between cognitive measures. Social cognitive and executive function did not significantly differ overall between depressed patients and healthy controls. There was no association between executive function and social cognitive function in healthy controls or in remitted patients. However, in patients with a current state of depression, lower cognitive flexibility was associated with lower performance in facial-affect recognition, theory-of-mind tasks and overall affect recognition. In this group, better planning abilities were associated with decreased performance in facial affect recognition and overall social cognitive performance. While we infer that less cognitive flexibility might lead to a more rigid interpretation of ambiguous social stimuli, we interpret the counterintuitive negative correlation of planning ability and social cognition as a compensatory mechanism.

Neural correlates of processing emotional prosody in unipolar depression

Major depressive disorder (MDD) is characterized by a biased emotion perception. In the auditory domain, MDD patients have been shown to exhibit attenuated processing of positive emotions expressed by speech melody (prosody). So far, no neuroimaging studies examining the neural basis of altered processing of emotional prosody in MDD are available. In this study, we addressed this issue by examining the emotion bias in MDD during evaluation of happy, neutral, and angry prosodic stimuli on a five-point Likert scale during functional magnetic resonance imaging (fMRI). As expected, MDD patients rated happy prosody less intense than healthy controls (HC). At neural level, stronger activation in the middle superior temporal gyrus (STG) and the amygdala was found in all participants when processing emotional as compared to neutral prosody. MDD patients exhibited an increased activation of the amygdala during processing prosody irrespective of valence while no significant differences between groups were found for the STG, indicating that altered processing of prosodic emotions in MDD occurs rather within the amygdala than in auditory areas. Concurring with the valence-specific behavioral effect of attenuated evaluation of positive prosodic stimuli, activation within the left amygdala of MDD patients correlated with ratings of happy, but not neutral or angry prosody. Our study provides first insights in the neural basis of reduced experience of positive information and an abnormally increased amygdala activity during prosody processing.

Facial emotion recognition, theory of mind and the role of facial mimicry in depression

BACKGROUND

This study examined whether acutely (aMDD) and remitted depressed patients (rMDD) show deficits in the two aspects of social cognition - facial emotion recognition (FER) and reasoning - when using ecologically valid material. Furthermore, we examined whether reduced facial mimicry mediates the association between depressive symptoms and FER, and whether FER deficits and reasoning deficits are associated.

METHOD

In 42 aMDD, 43 rMDD, and 39 healthy controls (HC) FER was assessed using stimuli from the Amsterdam Dynamic Facial Expression Set, reasoning by the Movie for the Assessment of Social Cognition. Furthermore, the activity of Zygomaticus Major and Corrugator supercilii were recorded.

RESULTS

aMDD recognized happy faces less accurately, were less confident recognizing happiness and anger and found it more difficult to recognize happiness, anger and fear than HC. rMDD were less confident recognizing anger and found it more difficult to recognize happiness, anger and fear than HC. Reduced mimicry did not explain FER deficits. aMDD but not rMDD showed impaired reasoning.

LIMITATIONS

The stimulus material was comparably easy to decode. Therefore, it is possible that the FER deficits of aMDD and rMDD patients are more pronounced than demonstrated in this study.

CONCLUSIONS

aMDD show deficits in FER and reasoning, whereas rMDD only show mild impairments in the recognition of emotional expressions. There must be other processes - besides mimicry - that serve the accurate recognition of emotional facial expressions.

Does Context Matter? A Multi-Method Assessment of Affect in Adolescent Depression Across Multiple Affective Interaction Contexts

This study utilized a multi-method approach (self-reported affect, observed behavior, and psychophysiology) to investigate differences between clinically depressed and non-depressed adolescents across three different affective interaction contexts with their parents. 152 adolescents (52 males, 14-18 y.o.), and their parents, participated in a laboratory session in which they discussed positive and negative aspects of their relationship, and reminisced on positive and negative memories. We found that across contexts depressed adolescents exhibited higher negative affect and behaviors, lower positive behaviors, and greater autonomic and sympathetic activity. Context specific findings indicated that depressed adolescents 1) exhibited greater persistence of negative affect and dysphoric behavior across the sequence of tasks, whereas these phenomena declined amongst their non-depressed peers, 2) depressed adolescents had greater increases in aggressive behaviors during negative interactions, and 3) depressed adolescents had greater parasympathetic withdrawal during negative interactions, while this response characterized the non-depressed group during positive interactions.

Social functioning in major depressive disorder

Depression is associated with social risk factors, social impairments and poor social functioning. This paper gives an overview of these social aspects using the NIMH Research and Domain Criteria 'Systems for Social Processes' as a framework. In particular, it describes the bio-psycho-social interplay regarding impaired affiliation and attachment (social anhedonia, hyper-sensitivity to social rejection, competition avoidance, increased altruistic punishment), impaired social communication (impaired emotion recognition, diminished cooperativeness), impaired social perception (reduced empathy, theory-of-mind deficits) and their impact on social networks and the use of social media. It describes these dysfunctional social processes at the behavioural, neuroanatomical, neurochemical and genetic levels, and with respect to animal models of social stress. We discuss the diagnostic specificity of these social deficit constructs for depression and in relation to depression severity. Since social factors are importantly involved in the pathogenesis and the consequences of depression, such research will likely contribute to better diagnostic assessments and concepts, treatments and preventative strategies both at the diagnostic and transdiagnostic level.

Symptom severity of depressive symptoms impacts on social cognition performance in current but not remitted major depressive disorder

The aim of the present study was to investigate the social cognitive functioning of participants with depression when compared with healthy controls, and to assess the impact of symptom severity. One hundred and eight patients with depression (66 remitted and 42 current) and 52 healthy controls were assessed using the Wechsler Advanced Clinical Solutions: Social Perception Subtest, measuring facial affect recognition in isolation and in combination with prosody and body language interpretation. When healthy controls, remitted depression and currently depressed groups were compared, no associations were found on any of the social cognition subscales. Severity of depressive and anxious symptoms predicted performance on all social cognition subscales in currently depressed participants, controlling for age, gender, education and psychotropic medication. Affective depressive symptoms were inversely related to ACS Pairs and Prosody subscales, while somatic symptoms were inversely related to the ACS Affect Recognition and Total scores. There was no association between severity and the WAIS ACS in remitted depression participants. People with MDD exhibiting more severe depressive and anxious symptoms and a cluster of affective symptoms have greater difficulty undertaking complex social cognitive tasks. Given the state like nature to these deficits, these impairments may cause problems with day to day functioning and have implications in targeted therapeutic interventions.

Meta-analysis of emotion recognition deficits in major depressive disorder

BACKGROUND

Many studies have explored associations between depression and facial emotion recognition (ER). However, these studies have used various paradigms and multiple stimulus sets, rendering comparisons difficult. Few studies have attempted to determine the magnitude of any effect and whether studies are properly powered to detect it. We conducted a meta-analysis to synthesize the findings across studies on ER in depressed individuals compared to controls.

METHOD

Studies of ER that included depressed and control samples and published before June 2013 were identified in PubMed and Web of Science. Studies using schematic faces, neuroimaging studies and drug treatment studies were excluded.

RESULTS

Meta-analysis of k = 22 independent samples indicated impaired recognition of emotion [k = 22, g = -0.16, 95% confidence interval (CI) -0.25 to -0.07, p < 0.001]. Critically, this was observed for anger, disgust, fear, happiness and surprise (k's = 7-22, g's = -0.42 to -0.17, p's < 0.08), but not sadness (k = 21, g = -0.09, 95% CI -0.23 to +0.06, p = 0.23). Study-level characteristics did not appear to be associated with the observed effect. Power analysis indicated that a sample of approximately 615 cases and 615 controls would be required to detect this association with 80% power at an alpha level of 0.05.

CONCLUSIONS

These findings suggest that the ER impairment reported in the depression literature exists across all basic emotions except sadness. The effect size, however, is small, and previous studies have been underpowered.

Neural responses to dynamic multimodal stimuli and pathology-specific impairments of social cognition in schizophrenia and depression

BACKGROUND

Individuals with schizophrenia and people with depression both show abnormal behavioural and neural responses when perceiving and responding to emotional stimuli, but pathology-specific differences and commonalities remain mostly unclear.

AIMS

To directly compare empathic responses to dynamic multimodal emotional stimuli in a group with schizophrenia and a group with depression, and to investigate their neural correlates using functional magnetic resonance imaging (fMRI).

METHOD

The schizophrenia group (n = 20), the depression group (n = 24) and a control group (n = 24) were presented with portrait-shot video clips expressing emotion through three possible communication channels: facial expression, prosody and content. Participants rated their own and the actor's emotional state as an index of empathy.

RESULTS

Although no group differences were found in empathy ratings, characteristic differences emerged in the fMRI activation patterns. The schizophrenia group demonstrated aberrant activation patterns during the neutral speech content condition in regions implicated in multimodal integration and formation of semantic constructs. Those in the depression group were most affected during conditions with trimodal emotional and trimodal neutral stimuli, in key regions of the mentalising network.

CONCLUSIONS

Our findings reveal characteristic differences in patients with schizophrenia compared with those with depression in their cortical responses to dynamic affective stimuli. These differences indicate that impairments in responding to emotional stimuli may be caused by pathology-specific problems in social cognition.

Audiovisual emotional processing and neurocognitive functioning in patients with depression

Alterations in the processing of emotional stimuli (e.g., facial expressions, prosody, music) have repeatedly been reported in patients with major depression. Such impairments may result from the likewise prevalent executive deficits in these patients. However, studies investigating this relationship are rare. Moreover, most studies to date have only assessed impairments in unimodal emotional processing, whereas in real life, emotions are primarily conveyed through more than just one sensory channel. The current study therefore aimed at investigating multi-modal emotional processing in patients with depression and to assess the relationship between emotional and neurocognitive impairments. Fourty one patients suffering from major depression and 41 never-depressed healthy controls participated in an audiovisual (faces-sounds) emotional integration paradigm as well as a neurocognitive test battery. Our results showed that depressed patients were specifically impaired in the processing of positive auditory stimuli as they rated faces significantly more fearful when presented with happy than with neutral sounds. Such an effect was absent in controls. Findings in emotional processing in patients did not correlate with Beck's depression inventory score. Furthermore, neurocognitive findings revealed significant group differences for two of the tests. The effects found in audiovisual emotional processing, however, did not correlate with performance in the neurocognitive tests. In summary, our results underline the diversity of impairments going along with depression and indicate that deficits found for unimodal emotional processing cannot trivially be generalized to deficits in a multi-modal setting. The mechanisms of impairments therefore might be far more complex than previously thought. Our findings furthermore contradict the assumption that emotional processing deficits in major depression are associated with impaired attention or inhibitory functioning.

Emotion recognition processing as early predictor of response to 8-week citalopram treatment in late-life depression

BACKGROUND

In subjects with depression, exposure to antidepressants improves recognition of positive emotions. This phenomenon, which occurs early in the course of treatment, has been proposed as the initial step in the mechanism of action to subsequent therapeutic effects of antidepressants. To this date, it has not been well examined among older depressed patients.

METHOD

Older subjects with non-psychotic major depressive disorder were treated with citalopram in an 8-week open-label study. The main predictor of response and remission was the change in emotion recognition between baseline and day 7. Covariates included executive functions, baseline anxiety level, medical comorbidity, level of subjective stress, serum citalopram level, and level of social support.

RESULTS

Twenty-seven patients were considered for final analysis. Overall, accuracy of emotion recognition significantly improved between baseline (75%) and day 7 (83%) (X(2)  = 34.50, df = 1, p < 0.001). Improvement to identify happy expressions occurred at 25% and 50% intensity with ceiling effect at 0%, 75%, and 100%. Change in emotion processing was marginally significant in predicting antidepressant response at day 56. Multivariate analysis showed that emotion processing is a significant predictor of response and remission when considered along with perceived level of social support.

CONCLUSIONS

Recognition of mildly intense happy expression, which improved early in the course of citalopram treatment, predicts subsequent antidepressant response and remission when considered along with perception of social support. Further studies would be necessary to examine specific neural substrates in the affective network involved in the acute therapeutic action of antidepressant in late-life depression.

[Social cognition in patients with mood disorders: part I: major depressive disorder : a comprehensive review of the literature]

OBJECTIVE

Overview on the current knowledge regarding social cognition in patients with major depressive disorder.

METHODS

Selective literature research on deficits in social cognition intrinsic to major depressive disorders, their occurrence and effects.

RESULTS

Deficits in social cognition are considered to be core features of major depressive disorder. They are apparent during acute episodes of the disorders, endure when patients are in remission and have a significant negative impact on the patients' psychosocial outcomes.

CONCLUSIONS

It is important to consider deficits in social cognition as an integral part of a treatment approach to achieve mental stabilization in patients with major depressive disorder.

Crossmodal emotional integration in major depression

Major depression goes along with affective and social-cognitive deficits. Most research on affective deficits in depression has, however, only focused on unimodal emotion processing, whereas in daily life, emotional perception is often highly dependent on the evaluation of multimodal inputs. We thus investigated emotional audiovisual integration in patients with depression and healthy subjects. Subjects rated the expression of happy, neutral and fearful faces while concurrently being exposed to emotional or neutral sounds. Results demonstrated group differences in left inferior frontal gyrus and inferior parietal cortex when comparing incongruent to congruent happy facial conditions, mainly due to a failure of patients to deactivate these regions in response to congruent stimulus pairs. Moreover, healthy subjects decreased activation in right posterior superior temporal gyrus/sulcus and midcingulate cortex when an emotional stimulus was paired with a neutral rather than another emotional one. In contrast, patients did not show such deactivation when neutral stimuli were integrated. These results demonstrate aberrant neural response in audiovisual processing in depression, indicated by failure to deactivate regions involved in inhibition and salience processing when congruent and neutral audiovisual stimuli pairs are integrated, providing a possible mechanism of constant arousal and readiness to act in this patient group.

Emotion classification in Parkinson's disease by higher-order spectra and power spectrum features using EEG signals: a comparative study

Deficits in the ability to process emotions characterize several neuropsychiatric disorders and are traits of Parkinson's disease (PD), and there is need for a method of quantifying emotion, which is currently performed by clinical diagnosis. Electroencephalogram (EEG) signals, being an activity of central nervous system (CNS), can reflect the underlying true emotional state of a person. This study applied machine-learning algorithms to categorize EEG emotional states in PD patients that would classify six basic emotions (happiness and sadness, fear, anger, surprise and disgust) in comparison with healthy controls (HC). Emotional EEG data were recorded from 20 PD patients and 20 healthy age-, education level- and sex-matched controls using multimodal (audio-visual) stimuli. The use of nonlinear features motivated by the higher-order spectra (HOS) has been reported to be a promising approach to classify the emotional states. In this work, we made the comparative study of the performance of k-nearest neighbor (kNN) and support vector machine (SVM) classifiers using the features derived from HOS and from the power spectrum. Analysis of variance (ANOVA) showed that power spectrum and HOS based features were statistically significant among the six emotional states (p < 0.0001). Classification results shows that using the selected HOS based features instead of power spectrum based features provided comparatively better accuracy for all the six classes with an overall accuracy of 70.10% ± 2.83% and 77.29% ± 1.73% for PD patients and HC in beta (13-30 Hz) band using SVM classifier. Besides, PD patients achieved less accuracy in the processing of negative emotions (sadness, fear, anger and disgust) than in processing of positive emotions (happiness, surprise) compared with HC. These results demonstrate the effectiveness of applying machine learning techniques to the classification of emotional states in PD patients in a user independent manner using EEG signals. The accuracy of the system can be improved by investigating the other HOS based features. This study might lead to a practical system for noninvasive assessment of the emotional impairments associated with neurological disorders.

A review of the role of social cognition in major depressive disorder

BACKGROUND

Social cognition - the ability to identify, perceive, and interpret socially relevant information - is an important skill that plays a significant role in successful interpersonal functioning. Social cognitive performance is recognized to be impaired in several psychiatric conditions, but the relationship with major depressive disorder is less well understood. The aim of this review is to characterize the current understanding of: (i) the different domains of social cognition and a possible relationship with major depressive disorder, (ii) the clinical presentation of social cognition in acute and remitted depressive states, and (iii) the effect of severity of depression on social cognitive performance.

METHODS

Electronic databases were searched to identify clinical studies investigating social cognition in a major depressive disorder population, yielding 31 studies for this review.

RESULTS

Patients with major depressive disorder appear to interpret social cognitive stimuli differently to healthy controls: depressed individuals may interpret emotion through a mood-congruent bias and have difficulty with cognitive theory of mind tasks requiring interpretation of complex mental states. Social cognitive performance appears to be inversely associated with severity of depression, whilst the bias toward negative emotions persists even in remission. Some deficits may normalize following effective pharmacotherapy.

CONCLUSIONS

The difficulties with social interaction observed in major depressive disorder may, at least in part, be due to an altered ability to correctly interpret emotional stimuli and mental states. These features seem to persist even in remission, although some may respond to intervention. Further research is required in this area to better understand the functional impact of these findings and the way in which targeted therapy could aid depressed individuals with social interactions.

Psychological factors that may confer risk for bipolar disorder

Several psychological domains may be dysfunctional in people with bipolar disorder (BD). When dysfunction occurs prior to onset of mood symptoms, it may signify risk for onset of the full syndrome of illness. Among these domains, cognitive dysfunction has received considerable attention as a possible endophenotype for BD, with some suggestion that changes in cognitive function may antedate onset of mood symptoms in individuals at risk for BD. Domains of social cognition, including emotion comprehension, theory of mind, and empathy, along with autobiographical memory, represent understudied aspects of psychological function that may be dysfunctional in people with BD. Temperament and personality factors, such as ruminative tendencies and neuroticism, may also leave some people vulnerable to mood instability. This review summarises the evidence for dysfunction in each of these domains for people with BD and examines whether there is any evidence that this dysfunction antedates the onset of mood symptoms or confers risk for illness.

Is the non-verbal behavioural emotion-processing profile of bipolar disorder impaired? A critical review

OBJECTIVE

Growing evidence suggests that patients with bipolar disorder (BD) are impaired in their ability to process non-verbal emotion, although few comprehensive reviews of the behavioural literature exist, and there has been little consideration of methodological issues that may account for discrepant empirical findings. This review examines the behavioural facial, prosodic and multimodal processing literature in BD and discusses methodological issues in the context of this evidence.

METHOD

Major computer databases including Google Scholar and PsychINFO were consulted to conduct a comprehensive review of quantitative behavioural differences in the emotion-processing literature in BD. Articles were accepted only if the target population sample met criteria for a DSM-III, DSM-IV or ICD-10 diagnosis, and they contained a healthy control group.

RESULTS

The current literature suggests that facial emotion processing is impaired, and there is preliminary evidence for some behavioural impairment in the processing of emotional prosody.

CONCLUSION

The specificity or generalisability of impairments in facial emotion processing and the effects of mood state are unclear. Similarly, the lack of clarity around the impact of auditory processes on emotional prosody processing warrants a comprehensive examination of the auditory profile in BD.

Recognition of emotion from body language among patients with unipolar depression

Major depression may be associated with abnormal perception of emotions and impairment in social adaptation. Emotion recognition from body language and its possible implications to social adjustment have not been examined in patients with depression. Three groups of participants (51 with depression; 68 with history of depression in remission; and 69 never depressed healthy volunteers) were compared on static and dynamic tasks of emotion recognition from body language. Psychosocial adjustment was assessed using the Social Adjustment Scale Self-Report (SAS-SR). Participants with current depression showed reduced recognition accuracy for happy stimuli across tasks relative to remission and comparison participants. Participants with depression tended to show poorer psychosocial adaptation relative to remission and comparison groups. Correlations between perception accuracy of happiness and scores on the SAS-SR were largely not significant. These results indicate that depression is associated with reduced ability to appraise positive stimuli of emotional body language but emotion recognition performance is not tied to social adjustment. These alterations do not appear to be present in participants in remission suggesting state-like qualities.

Improving the neural mechanisms of cognition through the pursuit of happiness

This paper reviews evidence on the neural basis of how positive mood states can modulate cognition, particularly during creative problem-solving. Studies performed over the past few decades demonstrate that individuals in a positive mood engage in a broader scope of attention, enhancing their access to distant and unusual semantic associations, and increasing task-shifting and problem-solving capacities. In this review, we summarize these behavioral studies; we then present recent findings on the changes in brain activation patterns that are induced by a positive mood when participants engage in problem-solving tasks and show how these relate to task performance. Additionally, we integrate findings on the neuromodulatory influence of positive mood on cognition as mediated by dopaminergic signaling in the prefrontal cortex and we describe how this system can go awry during pathological states of elevated mood as in mania. Finally, we describe current and future research directions using psychotherapeutic and real-time fMRI neurofeedback approaches to up-regulate positive mood and facilitate optimal creative cognitive performance. We conclude with some speculations on the clinical implications of this emerging area of research.

A more realistic approach, using dynamic stimuli, to test facial emotion recognition impairment in temporal lobe epilepsy

To explore potentially impaired social functioning in patients with mesial temporal lobe epilepsy (MTLE), we evaluated facial emotion recognition (FER) using dynamic facial stimuli. We evaluated FER in 88 patients with MTLE, including 25 posttemporal lobectomy (PTL) patients, when they watched videos of actors expressing the six basic emotions of happiness, sadness, anger, fear, surprise, and disgust. Thirty-two healthy subjects were examined as controls. The relationships between task, performance, and neurophysiological and radiological variables potentially affecting the ability to recognize moving facial emotions were examined by multivariate analysis. Both the patients with MTLE and the PTL subset demonstrated significantly impaired FER compared with healthy controls. Of the six emotions, they showed impaired recognition of sadness, fear, and disgust. Facial emotion recognition was impaired in patients with chronic MTLE, particularly those with bilateral damage. Failure to recognize emotional expressions, particularly fear, disgust, and sadness, may contribute to difficulties in social functioning and relationship building.

Empathic behavioral and physiological responses to dynamic stimuli in depression

Major depressive disorder (MDD) is strongly linked to social withdrawal and interpersonal problems which characterize the disorder and further aggravate symptoms. Investigating the nature of impaired emotional-social functioning as a basis of interpersonal functioning in MDD has been widely restricted to static stimuli and behavioral emotion recognition accuracy. The present study aimed at examining higher order emotional processes, namely empathic responses and its components, emotion recognition accuracy and affective responses in 28 MDD patients and 28 healthy control participants. The dynamic stimulus material included 96 short video clips depicting actors expressing basic emotions by face, voice prosody, and sentence content. Galvanic skin conductance measurements revealed implicit processes in the multimethod assessment of empathy. Overall, patients displayed lower empathy, emotion accuracy, and affective response rates than controls. Autonomous arousal was higher in patients. A generalized emotion processing deficit is in line with the "emotional context insensitivity" (ECI) theory which proposes decreased overall responsiveness to emotional stimuli. The dissociation between hypo-reactivity in explicit and hyper-reactivity in implicit measures of emotion processing can be related to the "limbic-cortical dysregulation" model of depression. Our findings support the dissociation of autonomic and subjective emotional responses which may account for interpersonal as well as emotional deficits in depression.

Systematic review of the neural basis of social cognition in patients with mood disorders

BACKGROUND

This review integrates neuroimaging studies of 2 domains of social cognition--emotion comprehension and theory of mind (ToM)--in patients with major depressive disorder and bipolar disorder. The influence of key clinical and method variables on patterns of neural activation during social cognitive processing is also examined.

METHODS

Studies were identified using PsycINFO and PubMed (January 1967 to May 2011). The search terms were "fMRI," "emotion comprehension," "emotion perception," "affect comprehension," "affect perception," "facial expression," "prosody," "theory of mind," "mentalizing" and "empathy" in combination with "major depressive disorder," "bipolar disorder," "major depression," "unipolar depression," "clinical depression" and "mania."

RESULTS

Taken together, neuroimaging studies of social cognition in patients with mood disorders reveal enhanced activation in limbic and emotion-related structures and attenuated activity within frontal regions associated with emotion regulation and higher cognitive functions. These results reveal an overall lack of inhibition by higher-order cognitive structures on limbic and emotion-related structures during social cognitive processing in patients with mood disorders. Critically, key variables, including illness burden, symptom severity, comorbidity, medication status and cognitive load may moderate this pattern of neural activation.

LIMITATIONS

Studies that did not include control tasks or a comparator group were included in this review.

CONCLUSION

Further work is needed to examine the contribution of key moderator variables and to further elucidate the neural networks underlying altered social cognition in patients with mood disorders. The neural networks under lying higher-order social cognitive processes, including empathy, remain unexplored in patients with mood disorders.

Sensitivity to posed and genuine facial expressions of emotion in severe depression

The aim of the current study was to investigate whether the ability to distinguish genuine from non-genuine (neutral or posed) facial expressions of emotion (happiness, sadness, fear and disgust) is impaired in depression, and whether improvement in this ability occurs with treatment response. Sixty-eight depressed inpatients and 50 matched healthy controls performed the Emotion Categorisation Task three times over 6 weeks. All participants showed some sensitivity to the meaningful differences between genuine and non-genuine expressions of emotion, with an increasing percentage of faces labelled as genuinely feeling the emotion from neutral to posed to genuine presentations. Depressed patients showed significantly less sensitivity in differentiating non-genuine from genuine expressions of sadness, compared with healthy controls. Performance on the Emotion Categorisation Task did not change over time in treatment responders compared with treatment non-responders. These findings have implications for understanding why depressed individuals may have difficulties in social interactions.