Impaired Emotion Research Articles

The impact of partially covered faces on trust attribution, sharing resources, and perceived fairness of one's own choices in Ultimatum Game.

Covered faces have been linked with impaired emotion recognition; yet, it is entirely unexplored how an occlusion due to face masks may affect individuals' behaviour in economic decisions. Across two studies, we explored whether partially covered faces (due to mask wearing or a horizontal black bar) and emotion displayed by the responder influence peoples' sharing behaviour in the Ultimatum Game and the perceived fairness of one's proposal.Study 1 showed participants were more willing to equally share their resources with a happy face (compared to a neutral one). In addition, they were more willing to make a fair proposal when the person displayed was not wearing a face mask. Our results also provide evidence that, when people had to judge how fair their proposal was, participants rated a fair proposal as fairer when responders showed happy faces without masks, while unfair proposals were rated as fairer with happy masked faces; similarly, angry faces led to fairer ratings for fair offers without masks and unfair offers with masks. Study 2 partially confirmed previous results, highlighting how a simple occlusion on the face does not have a direct effect on the proposal but moderates the effect of the displayed emotions.These findings indicate that social interactions might be affected by face occlusion, especially when it is represented by a face mask. Indeed, people might judge the same behaviour in different ways based on the fact that their counterpart has a partially covered face.

Tri-Level Anxiety and Depression Symptom Trajectory in Adolescents:the Role of Emotion Regulation Diversity

Anxiety and depression are associated with impaired emotion regulation (ER). Recently, a novel construct named ER diversity has been proposed to assess the diversity in ER strategy use. Low ER diversity, particularly under stressful circumstances, may be a transdiagnostic vulnerability factor for anxiety and depression. This study utilized a longitudinal design to examine the association between ER diversity and transdiagnostic anxiety and depressive symptom trajectory in adolescents (N = 627 at baseline), while accounting for life stress. Measures of ER strategy use, chronic interpersonal life stress, neuroticism, and transdiagnostic dimensional symptoms of anxiety and depression were assessed. The ER diversity index and the traditional ER sum score were computed. Higher ER diversity index was associated with steeper decline in the Fears symptom factor over time, above and beyond the ER sum score and neuroticism. Moreover, chronic interpersonal life stress influenced these associations. When chronic interpersonal life stress was low, Fears declined over time regardless of the ER diversity level; when chronic interpersonal life stress was high, Fears only declined when ER diversity was high. Thus, low diversity in ER strategy use, particularly under stressful circumstances, may be a vulnerability factor for fear symptom development.

Distinct functional connectivity phenotypes in preadolescent children with binge eating disorder by BMI status.

The neurobiological mechanisms underpinning binge eating disorder (BED) in children remain largely unclear, as the alterations that have been identified to date may be attributable to BED, obesity, or compound effects. This study aimed to delineate functional connectivity (FC) patterns in inhibitory control and reward networks in preadolescent children with and without BED from the Adolescent Brain Cognitive Development (ABCD) Study according to BMI. Resting-state FC was examined in the inhibitory control network by using seeds in the dorsolateral prefrontal cortex, the anterior cingulate cortex, and the posterior cingulate cortex, whereas the reward network included seeds in the orbitofrontal cortex, nucleus accumbens, and amygdala. Seed-to-voxel analyses characterized FC differences between preadolescent children with BED with a high BMI and those with BED with a low BMI. We identified that BED was characterized by reduced connectivity between the reward network and regions in the default mode network, irrespective of weight status. Participants with BED also presented with hypoconnectivity in fronto-amygdalar circuits, which has been consistently associated with impaired emotion regulation capacity. Our findings support that FC alterations between the reward network and the default mode network may be specifically impacted by the presence of BED as opposed to weight status.

Individual differences in emotion prediction and implications for social success.

The social world requires people to predict others' thoughts, feelings, and actions. People who successfully predict others' emotions experience significant social advantages. What makes a person good at predicting emotions? To predict others' future emotional states, a person must know how one emotion transitions to the next. People learn how emotions transition from at least two sources: (a) internal information, or one's own emotion experiences, and (b) external information, such as the social cues detected in a person's face. Across five studies collected between 2018 and 2020, we find evidence that both sources of information are related to accurate emotion prediction: individuals with atypical personal emotion transitions, difficulty understanding their own emotional experiences, and impaired emotion perception displayed impaired emotion prediction. This ability to predict others' emotions has real-world social implications. Individuals who make accurate emotion predictions have better relationships with their friends and communities and experience less loneliness. In contrast, disruptions in both internal and external information sources explain prediction inaccuracy in individuals with social difficulties, specifically with social communication difficulties common in autism spectrum disorder. These findings provide evidence that successful emotion prediction, which relies on the perception of accurate internal and external data about how emotions transition, may be key to social success. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Exploring Emotion Control and Alexithymia in Autistic Adults: An Ecological Momentary Assessment Study.

Difficulties in controlling emotions - a proxy for emotion dysregulation (ED)-and difficulties in expressing feelings in words-'absence of emotion labelling' or alexithymia-co-exist in autism and contribute to elevated levels of impulsive and suicidal behaviour. To date, studies linking the two phenomena have relied on retrospective self-reported measures, lacking support for generalizability to real-life situations. The present study investigated in vivo emotion labelling and its impact on emotion control in 29 autistic adults without intellectual disability (ASC) and 28 neurotypical (NT) individuals of similar age, sex, and educational level. Participants were trained in an Ecological Momentary Assessment (EMA) to label their emotions, the arousal dimension, and their emotion control via smartphone over a one-week period. Findings showed that the ASC group experienced more instances of 'having an emotion that I cannot name' and, when they were able to label their emotions, they reported higher rates of negative and conflicting (simultaneously positive and negative) emotions. In both groups, the absence of emotion labelling, and intense negative emotions were associated with impaired emotion control. However, the association between lack of emotional awareness-'I have no emotion'-and impaired emotion control was only evident in ASC individuals. Our study highlights a nuanced facet of emotional processing in the ASC population. Further research is needed to gain a deeper understanding of the complex relationship between ED and alexithymia in autism.

Impaired facial emotion recognition in individuals with bipolar disorder

BackgroundIndividuals with bipolar disorder (BD) often struggle with emotional regulation and social interactions, partly due to difficulties in accurately recognizing facial emotions. MethodsFrom September 2021 to February 2023, 69 BD individuals-comprising 23 with bipolar manic/hypomanic episode (BME), 23 with bipolar depressive episode (BDE), 23 with bipolar euthymic (EUT)-and 23 healthy controls (HCs) were enrolled. Diagnosis adhered to DSM-IV criteria using M.I.N.I 5.0, alongside assessments via Hamilton Depression Scale 17 and Young Manic Rating Scale. Recognition tasks involving 84 facial expression images across six categories. The Wilcoxon rank-sum test compares two groups, while the Kruskal-Wallis test compares multiple groups with subsequent adjusted pairwise comparisons. ResultsThe overall correct recognition rate of facial expressions in the BD group (79 %) was significantly lower than that of the HC group (83 %) (P=0.004). Primary differences were noted in neutral (93 % vs. 100 %, P=0.012) and fear (79 % vs. 86 %, P=0.023) expressions. Within the BD group, correct recognition rates were 71 % for BME, 80 % for BDE, and 80 % for EUT, all lower than in the HC group. Significant differences in correct recognition rates of neutral, fear, and joy expressions were observed among the four groups (P<0.05), with the BME group exhibiting the lowest rate. Misidentification of facial expressions was more frequent in the BD group compared to the HC group, particularly among negative expressions. ConclusionPatients with BD demonstrate lower correct recognition and higher misidentification rates of facial expressions, with those experiencing manic episodes showing impaired recognition of neutral, joy, and fear expressions.

Facial emotion recognition in children with attention deficit hyperactivity disorder

Objective Attention Deficit Hyperactivity Disorder (ADHD) is defined as a persistent pattern of inattention and hyperactivity-impulsivity that interferes with functioning anofd development. Increased emotional reactivity and impaired emotion regulation are established findings in children with ADHD. Impairments in executive functions such as impulse control and working memory, in turn, have also been suggested to have a negative effect on emotion recognition. However, studies exploring suspected deficits in the ability to recognise facial emotions in ADHD have to date yielded controversial results. We sought to clarify the mechanism of possible emotion recognition dysfunction in children with ADHD. Methods Sixty-one children diagnosed with ADHD (aged 10.36 ± 1.89 years) and a control group (N = 78; aged 9.6 ± 1.8 years) were evaluated with questionnaires and computerized tests for cognitive and facial emotion recognition capacity. Results The ADHD group displayed more behavioural issues and performed worse in cognitive tests compared to the control group. Group status (i.e. ADHD vs. control group) did not predict facial emotion recognition when controlled for age, IQ and sex in linear regression models. Performance in Divided Attention predicted facial emotion recognition in linear regression in the ADHD group. Conclusions Individuals with ADHD showed facial emotion recognition capacity similar to a typically developing control group. Good performance in a cognitive test assessing divided attention predicted capacity for facial emotion recognition, but only in the ADHD group.

Impaired emotion recognition in Cntnap2-deficient mice is associated with hyper-synchronous prefrontal cortex neuronal activity.

Individuals diagnosed with autism spectrum disorder (ASD) show difficulty in recognizing emotions in others, a process termed emotion recognition. While human fMRI studies linked multiple brain areas to emotion recognition, the specific mechanisms underlying impaired emotion recognition in ASD are not clear. Here, we employed an emotional state preference (ESP) task to show that Cntnap2-knockout (KO) mice, an established ASD model, do not distinguish between conspecifics according to their emotional state. We assessed brain-wide local-field potential (LFP) signals during various social behavior tasks and found that Cntnap2-KO mice exhibited higher LFP theta and gamma rhythmicity than did C57BL/6J mice, even at rest. Specifically, Cntnap2-KO mice showed increased theta coherence, especially between the prelimbic cortex (PrL) and the hypothalamic paraventricular nucleus, during social behavior. Moreover, we observed significantly increased Granger causality of theta rhythmicity between these two brain areas, across several types of social behavior tasks. Finally, optogenetic stimulation of PrL pyramidal neurons in C57BL/6J mice impaired their social discrimination abilities, including in ESP. Together, these results suggest that increased rhythmicity of PrL pyramidal neuronal activity and its hyper-synchronization with specific brain regions are involved in the impaired emotion recognition exhibited by Cntnap2-KO mice.

Characteristics of Patients in Methadone Maintenance Treatment (MMT) Who Have Difficulties in Emotion Regulation

Disturbances in emotion regulation among opioid users receiving methadone maintenance treatment (MMT) was reported in a few small studies. We aimed to evaluate the prevalence and characteristics of patients in MMT with impaired emotion regulation. We studied a cross-sectional sample of 121 patients by means of the Difficulties in Emotion Regulation Scale (DERS). Data on clinical, sociodemographic and addiction variables were reviewed, including results of random observed urine testing for opioids, alcohol, cocaine, cannabis, and benzodiazepine (BDZ). The prevalence of a high DERS score (> 90) was 39%. Characteristics associated with high DERS scores (logistic regression model) were benzodiazepine misuse and 20 years of opioid use before admission to MMT. Among the subscales, IMPULSE and STRATEGIES were independently related to substance use (logistic regression). Greater cocaine usage was also more prevalent only in univariate analyses. The DERS score correlated inversely with years of education among patients with negative urine test. The DERS subscale score for AWARENESS was lower in females than in males as among patients with suicide attempts or involvement in physical violence. Since the IMPULSE and STRATEGIES scores predict drug use, these aspects of emotional regulation should be targeted first in third-wave cognitive-behavioral intervention in MMT.

Neuroprotective and neuroregenerative drugs after severe traumatic brain injury : Anarrative review from aclinical perspective.

Traumatic brain injuries cause enormous individual and socioeconomic burdens. Survivors frequently struggle with motor handicaps as well as impaired cognition and emotion. In addition to the primary mechanical brain damage, complex secondary mechanisms are the main drivers of functional impairment. Many of these pathophysiological mechanisms are now well known: excitotoxic amino acids, breakdown of the blood-brain barrier, neuroinflammation with subsequent damage to cell organelles and membranes, cerebral edema, and apoptotic processes triggering neuronal death; however, paracrine resilience factors may counteract these processes. Specific neuroprotective and neuroregenerative intensive care therapies are few. This review highlights medical approaches aimed at mitigating secondary damage and promoting neurotrophic processes in severe traumatic brain injury. Some pharmacologic attempts that appeared very promising in experimental settings have had disappointing clinical results (progesterone, cyclosporineA, ronopterin, erythropoietin, dexanabinol). Thus, the search for drugs that can effectively limit ongoing posttraumatic neurological damage is ongoing. Some medications appear to be beneficial: N‑methyl-D-aspartate receptor (NMDA) antagonists (esketamine, amantadine, Mg++) reduce excitotoxicity and statins and cerebrolysin are known to counteract neuroinflammation. By supporting the impaired mitochondrial energy supply, oxidative processes are inhibited and neuroregenerative processes, such as neurogenesis, angiogenesis and synaptogenesis are promoted by citicoline and cerebrolysin. First clinical evidence shows an improvement in cognitive and thymopsychic outcomes, underlined by own clinical experience combining different therapeutic approaches. Accordingly, adjuvant treatment with neuroprotective substances appears to be apromising option, although more randomized prospective studies are still needed.

Perception of emotionally incongruent cues: evidence for overreliance on body vs. face expressions in Parkinson's disease.

Individuals with Parkinson's disease (PD) may exhibit impaired emotion perception. However, research demonstrating this decline has been based almost entirely on the recognition of isolated emotional cues. In real life, emotional cues such as expressive faces are typically encountered alongside expressive bodies. The current study investigated emotion perception in individuals with PD (n = 37) using emotionally incongruent composite displays of facial and body expressions, as well as isolated face and body expressions, and congruent composite displays as a baseline. In addition to a group of healthy controls (HC) (n = 50), we also included control individuals with schizophrenia (SZ) (n = 30), who display, as in PD, similar motor symptomology and decreased emotion perception abilities. The results show that individuals with PD showed an increased tendency to categorize incongruent face-body combinations in line with the body emotion, whereas those with HC showed a tendency to classify them in line with the facial emotion. No consistent pattern for prioritizing the face or body was found in individuals with SZ. These results were not explained by the emotional recognition of the isolated cues, cognitive status, depression, or motor symptoms of individuals with PD and SZ. As real-life expressions may include inconsistent cues in the body and face, these findings may have implications for the way individuals with PD and SZ interpret the emotions of others.

Implications of depressive mood in OSAHS patients: insights from event-related potential

BackgroundObstructive sleep apnea-hypopnea syndrome (OSAHS) is a chronic breathing disorder characterized by recurrent upper airway obstruction during sleep. Although previous studies have shown a link between OSAHS and depressive mood, the neurobiological mechanisms underlying mood disorders in OSAHS patients remain poorly understood. This study aims to investigate the emotion processing mechanism in OSAHS patients with depressive mood using event-related potentials (ERPs).MethodsSeventy-four OSAHS patients were divided into the depressive mood and non-depressive mood groups according to their Self-rating Depression Scale (SDS) scores. Patients underwent overnight polysomnography and completed various cognitive and emotional questionnaires. The patients were shown facial images displaying positive, neutral, and negative emotions and tasked to identify the emotion category, while their visual evoked potential was simultaneously recorded.ResultsThe two groups did not differ significantly in age, BMI, and years of education, but showed significant differences in their slow wave sleep ratio (P = 0.039), ESS (P = 0.006), MMSE (P < 0.001), and MOCA scores (P = 0.043). No significant difference was found in accuracy and response time on emotional face recognition between the two groups. N170 latency in the depressive group was significantly longer than the non-depressive group (P = 0.014 and 0.007) at the bilateral parieto-occipital lobe, while no significant difference in N170 amplitude was found. No significant difference in P300 amplitude or latency between the two groups. Furthermore, N170 amplitude at PO7 was positively correlated with the arousal index and negatively with MOCA scores (both P < 0.01).ConclusionOSAHS patients with depressive mood exhibit increased N170 latency and impaired facial emotion recognition ability. Special attention towards the depressive mood among OSAHS patients is warranted for its implications for patient care.

Patterns of neural activity in response to threatening faces are predictive of autistic traits: modulatory effects of oxytocin receptor genotype

Autistic individuals generally demonstrate impaired emotion recognition but it is unclear whether effects are emotion-specific or influenced by oxytocin receptor (OXTR) genotype. Here we implemented a dimensional approach using an implicit emotion recognition task together with functional MRI in a large cohort of neurotypical adult participants (N = 255, male = 131, aged 17–29 years) to establish associations between autistic traits and neural and behavioral responses to specific face emotions, together with modulatory effects of OXTR genotype. A searchlight-based multivariate pattern analysis (MVPA) revealed an extensive network of frontal, basal ganglia, cingulate and limbic regions exhibiting significant predictability for autistic traits from patterns of responses to angry relative to neutral expression faces. Functional connectivity analyses revealed a genotype interaction (OXTR SNPs rs2254298, rs2268491) for coupling between the orbitofrontal cortex and mid-cingulate during angry expression processing, with a negative association between coupling and autistic traits in the risk-allele group and a positive one in the non-risk allele group. Overall, results indicate extensive emotion-specific associations primarily between patterns of neural responses to angry faces and autistic traits in regions processing motivation, reward and salience but not in early visual processing. Functional connections between these identified regions were not only associated with autistic traits but also influenced by OXTR genotype. Thus, altered patterns of neural responses to threatening faces may be a potential biomarker for autistic symptoms although modulatory influences of OXTR genotype need to be taken into account.

Daily stress encounters: Positive emotion upregulation and depressive symptoms.

When it comes to coping with stress, positive emotion upregulation is of utmost importance. Positive emotions have been suggested to be an important resource during stressful times since people try to create and upregulate pleasant emotional states when feeling stressed. Accordingly, individual differences in the ability to generate and savor positive emotional states could also affect one's skills in dealing with stress. In this regard, an important factor might be depression, which is associated with impaired positive emotion regulation. To disentangle the reciprocal influence between perceived stress and positive emotion upregulation, we conducted an Ecological Momentary Assessment study (n = 92) in which we assessed participants' stress levels and use of positive upregulating strategies (attentional deployment, cognitive change, and response modulation) three times a day over 2 weeks. Results from linear mixed-effects models showed that higher levels of perceived stress at one point predicted increased use of positive upregulating strategies from this point to the next which, in turn, resulted in subsequent diminished stress levels. Interaction analyses indicated that participants with higher depressive symptoms implemented upregulating strategies to a lower extent when experiencing intense stress. Furthermore, attentional deployment was less effective in decreasing stress in individuals higher in depression, whereas the other strategies showed comparable or even higher efficacy. Overall, positive emotion upregulation might be regarded as an adaptive tool that helps cope with stress. This mechanism might be altered in people higher in depression, who specifically struggle to implement positive upregulating strategies during times of stress. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Improved emotion differentiation under reduced acoustic variability of speech in autism

BackgroundSocio-emotional impairments are among the diagnostic criteria for autism spectrum disorder (ASD), but the actual knowledge has substantiated both altered and intact emotional prosodies recognition. Here, a Bayesian framework of perception is considered suggesting that the oversampling of sensory evidence would impair perception within highly variable environments. However, reliable hierarchical structures for spectral and temporal cues would foster emotion discrimination by autistics.MethodsEvent-related spectral perturbations (ERSP) extracted from electroencephalographic (EEG) data indexed the perception of anger, disgust, fear, happiness, neutral, and sadness prosodies while listening to speech uttered by (a) human or (b) synthesized voices characterized by reduced volatility and variability of acoustic environments. The assessment of mechanisms for perception was extended to the visual domain by analyzing the behavioral accuracy within a non-social task in which dynamics of precision weighting between bottom-up evidence and top-down inferences were emphasized. Eighty children (mean 9.7 years old; standard deviation 1.8) volunteered including 40 autistics. The symptomatology was assessed at the time of the study via the Autism Diagnostic Observation Schedule, Second Edition, and parents’ responses on the Autism Spectrum Rating Scales. A mixed within-between analysis of variance was conducted to assess the effects of group (autism versus typical development), voice, emotions, and interaction between factors. A Bayesian analysis was implemented to quantify the evidence in favor of the null hypothesis in case of non-significance. Post hoc comparisons were corrected for multiple testing.ResultsAutistic children presented impaired emotion differentiation while listening to speech uttered by human voices, which was improved when the acoustic volatility and variability of voices were reduced. Divergent neural patterns were observed from neurotypicals to autistics, emphasizing different mechanisms for perception. Accordingly, behavioral measurements on the visual task were consistent with the over-precision ascribed to the environmental variability (sensory processing) that weakened performance. Unlike autistic children, neurotypicals could differentiate emotions induced by all voices.ConclusionsThis study outlines behavioral and neurophysiological mechanisms that underpin responses to sensory variability. Neurobiological insights into the processing of emotional prosodies emphasized the potential of acoustically modified emotional prosodies to improve emotion differentiation by autistics.Trial registrationBioMed Central ISRCTN Registry, ISRCTN18117434. Registered on September 20, 2020.

An exploratory study of the effect of age and gender on face scanning during affect recognition in immersive virtual reality

A person with impaired emotion recognition is not able to correctly identify facial expressions represented by other individuals. The aim of the present study is to assess eyes gaze and facial emotion recognition in a healthy population using dynamic avatars in immersive virtual reality (IVR). For the first time, the viewing of each area of interest of the face in IVR is studied by gender and age. This work in healthy people is conducted to assess the future usefulness of IVR in patients with deficits in the recognition of facial expressions. Seventy-four healthy volunteers participated in the study. The materials used were a laptop computer, a game controller, and a head-mounted display. Dynamic virtual faces randomly representing the six basic emotions plus neutral expression were used as stimuli. After the virtual human represented an emotion, a response panel was displayed with the seven possible options. Besides storing the hits and misses, the software program internally divided the faces into different areas of interest (AOIs) and recorded how long participants looked at each AOI. As regards the overall accuracy of the participants’ responses, hits decreased from the youngest to the middle-aged and older adults. Also, all three groups spent the highest percentage of time looking at the eyes, but younger adults had the highest percentage. It is also noteworthy that attention to the face compared to the background decreased with age. Moreover, the hits between women and men were remarkably similar and, in fact, there were no statistically significant differences between them. In general, men paid more attention to the eyes than women, but women paid more attention to the forehead and mouth. In contrast to previous work, our study indicates that there are no differences between men and women in facial emotion recognition. Moreover, in line with previous work, the percentage of face viewing time for younger adults is higher than for older adults. However, contrary to earlier studies, older adults look more at the eyes than at the mouth.Consistent with other studies, the eyes are the AOI with the highest percentage of viewing time. For men the most viewed AOI is the eyes for all emotions in both hits and misses. Women look more at the eyes for all emotions, except for joy, fear, and anger on hits. On misses, they look more into the eyes for almost all emotions except surprise and fear.

Impaired implicit emotion regulation in patients with panic disorder: An event-related potential study on affect labeling.

Panic disorder (PD) involves emotion dysregulation, but its underlying mechanisms remain poorly understood. Previous research suggests that implicit emotion regulation may play a central role in PD-related emotion dysregulation and symptom maintenance. However, there is a lack of studies exploring the neural mechanisms of implicit emotion regulation in PD using neurophysiological indicators. To study the neural mechanisms of implicit emotion regulation in PD with event-related potentials (ERP). A total of 25 PD patients and 20 healthy controls (HC) underwent clinical eva-luations. The study utilized a case-control design with random sampling, selecting participants for the case group from March to December 2018. Participants performed an affect labeling task, using affect labeling as the experimental condition and gender labeling as the control condition. ERP and behavioral data were recorded to compare the late positive potential (LPP) within and between the groups. Both PD and HC groups showed longer reaction times and decreased accuracy under the affect labeling. In the HC group, late LPP amplitudes exhibited a dynamic pattern of initial increase followed by decrease. Importantly, a significant group × condition interaction effect was observed. Simple effect analysis revealed a reduction in the differences of late LPP amplitudes between the affect labeling and gender labeling conditions in the PD group compared to the HC group. Furthermore, among PD patients under the affect labeling, the late LPP was negatively correlated with disease severity, symptom frequency, and intensity. PD patients demonstrate abnormalities in implicit emotion regulation, hampering their ability to mobilize cognitive resources for downregulating negative emotions. The late LPP amplitude in response to affect labeling may serve as a potentially valuable clinical indicator of PD severity.

Combined effects of neuroticism and negative emotional context on spontaneous EEG dynamics.

Neuroticism is a personality trait with great clinical relevance, defined as a tendency to experience negative affect, sustained self-generated negative thoughts and impaired emotion regulation. Here, we investigated spontaneous brain dynamics in the aftermath of negative emotional events and their links with neuroticism in order to shed light on the prolonged activity of large-scale brain networks associated with the control of affect. We recorded electroencephalography (EEG) from 36 participants who were asked to rest after watching neutral or fearful video clips. Four topographic maps (i.e. microstates classes A, B, C and D) explained the majority of the variance in spontaneous EEG. Participants showed greater presence of microstate D and lesser presence of microstate C following exposure to fearful stimuli, pointing to changes in attention- and introspection-related networks previously associated with these microstates. These emotional effects were more pronounced for participants with low neuroticism. Moreover, neuroticism scores were positively correlated with microstate C and negatively correlated with microstate D, regardless of previous emotional stimulation. Our results reveal distinctive effects of emotional context on resting-state EEG, consistent with a prolonged impact of negative affect on the brain, and suggest a possible link with neuroticism.

Lack of Identity and Suicidality: The Mediating Role of Emotion Regulation Difficulties.

Identity disturbance has been connected to both psychological distress and suicidality, and associated with emotion dysregulation. However, despite empirical evidence of a relationship between lack of identity and poor psychiatric outcomes, the link between impaired identity and emotion dysregulation in suicide risk remains underexplored, particularly among individuals seeking outpatient mental health services. Using data from a large clinical sample (n = 246), the present study examined the association between lack of identity and suicidality and the role of emotion dysregulation within this process. Findings indicated that the mediation model was significant, with emotion regulation difficulties significantly mediating the association between lack of identity and future suicidal behavior. Furthermore, the indirect effect of lack of identity on anticipated suicidality remained significant beyond general distress and past suicide attempt. Our findings add to the literature examining the complex relationship among lack of identity, emotion regulation, and suicidality.

Diagnosis Framework for Probable Alzheimer's Disease and Mild Cognitive Impairment Based on Multi-Dimensional Emotion Features.

Emotion and cognition are intercorrelated. Impaired emotion is common in populations with Alzheimer's disease (AD) and mild cognitive impairment (MCI), showing promises as an early detection approach. We aim to develop a novel automatic classification tool based on emotion features and machine learning. Older adults aged 60 years or over were recruited among residents in the long-term care facilities and the community. Participants included healthy control participants with normal cognition (HC, n = 26), patients with MCI (n = 23), and patients with probable AD (n = 30). Participants watched emotional film clips while multi-dimensional emotion data were collected, including mental features of Self-Assessment Manikin (SAM), physiological features of electrodermal activity (EDA), and facial expressions. Emotional features of EDA and facial expression were abstracted by using continuous decomposition analysis and EomNet, respectively. Bidirectional long short-term memory (Bi-LSTM) was used to train classification model. Hybrid fusion was used, including early feature fusion and late decision fusion. Data from 79 participants were utilized into deep machine learning analysis and hybrid fusion method. By combining multiple emotion features, the model's performance of AUC value was highest in classification between HC and probable AD (AUC = 0.92), intermediate between MCI and probable AD (AUC = 0.88), and lowest between HC and MCI (AUC = 0.82). Our method demonstrated an excellent predictive power to differentiate HC/MCI/AD by fusion of multiple emotion features. The proposed model provides a cost-effective and automated method that can assist in detecting probable AD and MCI from normal aging.