State Anger Research Articles

Multimodal Dataset Construction and Validation for Driving-Related Anger: A Wearable Physiological Conduction and Vehicle Driving Data Approach

Anger impairs a driver’s control and risk assessment abilities, heightening traffic accident risks. Constructing a multimodal dataset during driving tasks is crucial for accurate anger recognition. This study developed a multimodal physiological -vehicle driving dataset (DPV-MFD) based on drivers’ self-reported anger during simulated driving tasks. In Experiment 1, responses from 624 participants to anger-inducing videos and driving scenarios were collected via questionnaires to select appropriate materials. In Experiments 2 and 3, multimodal dynamic data and self-reported SAM emotion ratings were collected during simulated and real-vehicle tasks, capturing physiological and vehicle responses in neutral and anger states. Spearman’s correlation coefficient analysis validated the DPV-MFD’s effectiveness and explored the relationships between multimodal data and emotional dimensions. The CNN-LSTM deep learning network was used to assess the emotion recognition performance of the DPV-MFD across different time windows, and its applicability in real-world driving scenarios was validated. Compared to using EEG data alone, integrating multimodal data significantly improved anger recognition accuracy, with accuracy and F1 scores rising by 4.49% and 9.14%, respectively. Additionally, real-vehicle data closely matched simulated data, confirming the dataset’s effectiveness for real-world applications. This research is pivotal for advancing emotion-aware human–machine- interaction and intelligent transportation systems.

Basic Affective Systems and Sex Differences in the Relationship between Anger and Fear.

The possible interactions between anger and fear have not been widely explored in the psychological literature. Fear and anger are currently beginning to be studied by looking at their interrelationships, rather than seeing them as simply opposing emotions. Furthermore, there is a tendency to think that anger is more typical of men and fear of women. Our contribution proposes a particular perspective of affective neuroscience. The objectives of the study are as follows: (1) to assess possible differences in affective systems, and states and traits of anger in relation to biological sex; (2) to assess correlations between ANGER, FEAR, and SADNESS, as well as state and trait anger in both a female and male sample; (3) to assess possible differences in basic affective systems in relation to different levels of ANGER, FEAR, and SADNESS, state and trait anger, in female and male samples. A non-clinical sample of 339 females and 99 males completed the ANPS 3.1 to assess basic affective states and the STAXI-2 to assess anger states and traits. No significant differences were found for ANGER and FEAR scores and for state and trait scores between the male and female samples. Clear correlations emerged (p < 0.01) between SADNESS and FEAR in both the female and male samples. Among the differences that emerged in the affective systems, we emphasise that in the female group, the highest scores on the SEEKING and PLAY scales are expressed by the group of women who have the lowest scores in FEAR; PLAY and CARE also vary in relation to different scores in SADNESS. Given the importance of the SEEKING and PLAY variables, it is of paramount importance to monitor the environmental and relational situations to guarantee that women, too, are provided with the conditions of safety and protection that are prerequisites for their well-being and the positive expression of their resources.

Energy Deficit and Factors Associated with Energy Balance during a Combat Deployment in U.S. Army Special Operation Forces Soldiers.

Forty-six SOF Soldiers (age: 30.1 ± 3.5 yrs, body mass index: 27.7 ± 4.1 kg/m2) completed surveys on demographic data, mission activity characteristics, gastrointestinal issues, ration consumption, resilience, mood state, and dietary intake using a 127-question food frequency questionnaire at the end of a six-month deployment. EE was estimated using a SOF-specific prediction equation with a physical activity factor of 2.1. A paired t-test compared reported energy intake (EI) with estimated energy expenditure (EE). Pearson correlations identified significant variables associated with energy balance, which were then incorporated into a multiple linear regression model. The regression analysis included Profile of Mood States (POMS) anger and POMS depression as predictor variables to determine their influence on energy balance. Reported mean EI was 2512 ± 1059 kcal·d-1, while estimated mean EE was 5272 ± 525 kcal·d-1. The mean energy imbalance was -2854 kcal/d (95% CI: -2655 to -3055, p < 0.001), with all participants in negative energy balance (range: -492 to -3813 kcal/d). POMS depression (r = 0.517, p < 0.01) and POMS anger (r = 0.363, p = 0.020) were associated with energy balance. The regression model was significant (R2 = 0.23, F (2, 38) = 7.02, p < 0.01), with POMS depression significantly predicting energy balance (β = 50.76, p = 0.011). Deployed SOF Soldiers reported high EE and limited EI, which may negatively impact performance. Higher POMS depression scores were associated with lower energy deficits. Future studies should investigate the relationship between mood and energy balance, using direct measures of EI and EE.

Examining the effect of impossible problem solving on state anger: Comparing in-person and MTurk participants

This research comprises of two studies examining the effect of impossible problem solving on state anger. For the first study, using 155 participants on Amazon’s MTurk, a significant difference was observed on state anger from baseline to post-intervention (p = .04). Due to the well documented concerns about using MTurk participants, a second study involving 111 participants from a small liberal arts college was conducted. Using the same design, no significant effect of time on state anger was observed (p &gt; .05). Post-hoc analyses indicated a significant difference between MTurk and in-person participants on trait anger (p &lt; .05), pre-test state anger (p &lt; .05), and post-test state anger (p &lt; .05). Implications are discussed.

Americans' Downward Mobility Shifts Votes to the Right

ABSTRACT: A decline in a person's economic security relative to that of their relatives, neighbors, and any other group used by people in comparing themselves is correlated with emotional states of loss, anger, anxiety, and decline in subjective well-being. Using publicly available data on voting patterns for 910 selected counties in the United States in four presidential election cycles (2008, 2012, 2016, and 2020), we find that if people in a county experience downward mobility in relative economic security, the county that was once majority Democratic would likely shift to majority Republican voting. This evidence suggests that the fear of loss of relative economic security is associated with voting for authoritarian candidates and agendas.

Creative process engagement for regulating integral and incidental anger

Research suggests that creative task performance may lead to either more positive or negative mood states depending on the type of creative thinking process engaged. While this literature establishes a relationship with mood states, the effects of creativity on specific discrete emotions (i.e., anger, anxiety) remain unexamined. Additionally, the extent to which discrete emotions that are incidental or integral to task context warrants consideration, as the nature of the emotions felt may affect the extent to which they are regulated through creative task performance. Two laboratory studies were conducted in which participants were randomly assigned to be induced with either incidental or integral state anger or state anxiety, and then either generated ideas (study one) or evaluated ideas (study two) prior to self-reporting their emotional states. Results indicated that while integral and incidental state anger are lessened after generating or evaluating ideas, the extent to which one feels anxiety is unaffected by performing either task. Implications of these findings provide new avenues for emotion regulation research and recommendations for utilizing creative processes to mitigate different types of state anger.

Subordination to Women, Anger, and Endorsement of Violence Against Women: A Test of General Strain Theory

Using Agnew’s (1992) general strain theory (GST), we assess the connection between men’s strained masculinity (stress at subordination to women scenarios), anger produced by strained masculinity, and endorsing friends’ harassment and abuse of women. In a convenience sample of 859 men aged 18 to 32, men who report greater strain and anger in response to hypothetical scenarios and men higher in trait anger are more likely to endorse friends’ violence against women. We contribute to GST by testing the effects of both state and trait anger as a link between strained masculinity and endorsement of violence and exploitation of women.

The Effects of Rational Emotive Behavior Therapy, Progressive Muscle Relaxation, Distraction, and Rumination on State Anger Using the Autobiographical Essay Memory Task

ABSTRACT Given the many negative outcomes of anger, including physical aggression and violence, there is a need to improve treatment outcomes. As such, several treatment approaches were evaluated in this study. The autobiographical essay memory task (AEMT) was given to 157 participants on Amazon’s Mturk. Using a four (intervention) by three (state anger) mixed design, participants were randomly assigned to one of four conditions: control group (a distraction task), rumination, self-help Rational Emotive Behavior Therapy (REBT), or progressive muscle relaxation (PMR). All participants were instructed to write an anger-evoking memory for ten minutes. Following this, participants were then asked to partake in their respective intervention. Using the State Anger Scale from the State-Trait Anger Expression-2, state anger was measured at baseline, after writing about the anger-evoking memory, and post-intervention. As expected, there was a significant difference across the three time points, p < .001, η2 = .30. Once the AEMT was completed, participants received an intervention. Participants indicated lower levels of state anger post-intervention compared to post-AEMT, p < .001; however, participants post-intervention still reported higher levels of state anger compared to baseline, p < .001. Using the LSD post-hoc test, participants in the rumination condition reported higher levels of state anger post-intervention compared to participants who engaged in PMR (p < .001), self-help REBT (p = .04), and the control condition (p < .001). There were no significant differences noted between PMR, self-help REBT, and the control conditions post-intervention. The AEMT was an effective tool to evoke state anger in a lab setting. Additionally, self-help REBT, PMR, and distraction are effective tools to decrease state anger.

Anxiety and depression fully mediate the relationship between anger expression and quality of life in a sample of hypertensive patients

The present study aimed to verify whether psychopathological symptoms, such as anxiety and depression, among hypertensive patients mediate anger expression and mental health. To this purpose, one hundred hypertensive patients completed the State and Trait Anger Inventory-2, the Symptom Checklist-90-Revised, and the 36-Item Short Form Health Survey. Fifty percent of the participants reported higher levels of psychopathological symptoms and lower levels of quality of life. A correlation analysis described positive associations between most of the scales of anger and psychopathological symptoms, including anxiety and depression. In contrast, mental health was negatively associated with anger expression and trait anger. A serial mediation model revealed that anxiety and depression fully mediated the relationship between anger expression and mental health. Our findings highlight the importance of conducting a multidimensional and multidisciplinary assessment to describe the mental health of hypertensives and prevent their psychological distress through the management of their emotional states. Taking care of the mental health of these patients may help them reduce psychological factors that influence their medical conditions.

How to Capture the Rage? Development and Validation of a State-Trait Anger Scale

Our research seeks to contribute to the existing literature on emotion measurement and research by proposing a new anger metric that addresses limitations of previous scales. This metric shows promise in meeting modern standards and drawing from traditional methods, potentially impacting the study of emotions. Additionally, our study explores cross-cultural congruence in assessing anger between English and German speakers, revealing differences in state and trait anger assessment. We offer theoretical perspectives on these cultural variances and emphasize the importance of considering language nuances in cross-cultural emotion assessment. Furthermore, our research delves into the relationship between anger and other emotions within an affective space, suggesting support for the notion that emotions are composite constructs consisting of valence and activation. We also discuss alternative theoretical perspectives on emotion construction to enhance our understanding. Additionally, our study examines the intricate relationship between anger and different forms of aggression, highlighting the association between anger and various aggressive behaviors in work settings. Our findings underscore the influence of personal traits and situational factors on experiences of anger and aggression, offering insights into the relationships between emotional states, traits, and behavior.

Thinking through the social world: Further exploring the direct, moderated, and mediated relationship between need for cognition and aggression.

Findings from a paucity of research suggest that need for cognition (NFC) is negatively correlated with trait aggression. The correlational nature of the data juxtaposed with the reliance on assessing trait aggression negates causal claims regarding this relationship. The objective of the current research to expand our understanding of the relationship between NFC and aggression in the following ways: (1) focus on state, rather than trait, aggressive behavior, (2) examine the role of provocation, and (3) test the mediating influence of state anger and revenge motives. Our study had US emerging adult participants randomly assigned to be provoked or not before completing measures of anger, revenge motives, and aggression. Results showed that only revenge motives mediated the relationship between NFC and aggression, which was found to be significant only for provoked participants. Results are discussed in theoretical and practical implications.

A Novel Hybrid Feature Extraction Methods for EEG Based Emotions Classification Using Ensemble Approaches in HIED Dataset

Introduction: Emotions play a significant role in human relationships in everyday challenges. Human-machine interactions and the complexities of its research include humanoid robots which rely significantly on emotional queries. The present study recommends a novel methodology for human emotion identification using electroencephalogram (EEG) signals. Machine learning (ML) techniques based on electroencephalogram have demonstrated impressive results in distinguishing emotions. Method: The present study investigates five ensemble learning-based machine learning (EML) and five conventional machine learning (CML) algorithms for achieving the recognition of human emotions from EEG signals. The main objective of the current research study is to implement the optimal approach for classifying emotions and subsequently will achieve it by using physiological characteristics to categorise the seven main emotional states (stress, happy, sadness, anger, fear, disgust, and surprise). This research follows the study investigation of ensemble learning-based machine learning (EML) and conventional machine learning (CML) algorithms for achieving the recognition of human emotions from EEG signals. Initially, the EEG data in this study are categorized into theta, alpha, beta, and gamma bands using a DWT. Result: With this idea, the research elaborates on further decomposition based on bandseparated EEG signals known as intrinsic mode functions (IMFs) along with empirical mode decomposition is subsequently implemented. Then, 13 statistical characteristics are extracted from the IMFs using five multiclass EML algorithms: adaptive boosting, rotation random forest, bagging, random forest, and extreme gradient boost. The following procedure is carried out to construct an ML-based system. In the final phase, 10-fold cross-validation is used to assess the efficacy of these five EML algorithms. Accuracy, F1-score, and area-under-the-curve (AUC) are performance assessment metrics that are employed to compare the final results of these algorithms with the five CML techniques. Conclusion: The proposed method for EEG-based emotion analysis is significantly more effective and achieves greater outcomes than all of the techniques that were compared, based on the data from the experiments.

Men's Coercive Condom Use Resistance: The Roles of Alcohol and Emotional Factors.

Men's coercive condom use resistance (CUR) with female partners is common and is associated with greater alcohol consumption than men's noncoercive CUR engagement. Prior research indicates that emotion-related factors are relevant to alcohol-involved coercive CUR. Thus, in this alcohol administration study, we examined emotional factors as distal and proximal predictors of alcohol-involved coercive CUR among young men who have sex with women. Non-problem drinking young adult men who have sex with women (N = 282) were recruited from the local community, and as part of a larger study, completed a background survey and an in-lab alcohol administration session that included a mood induction and sexual scenario task using a 2 (sober vs. intoxicated) x 2 (positive mood vs. negative mood) experimental design. Path analysis testing a moderated mediation model revealed that for participants in the sober, positive mood, and intoxicated, negative mood conditions, there was a positive association between distal ER difficulties and motives to have sex to cope with negative emotions. Additionally, distal ER difficulties were positively associated with proximal difficulties modulating one's emotions among intoxicated participants. Among those with greater proximal difficulties modulating their emotions, state anger was positively associated with coercive CUR intentions. Results demonstrate the importance of alcohol intoxication, emotions and emotion regulation, and sexual coping motives in men's coercive CUR likelihood, demonstrating potential malleable targets for prevention efforts.

Perceived Injustice and Anger in Fibromyalgia With and Without Comorbid Mental Health Conditions: A Hebrew Validation of the Injustice Experience Questionnaire.

Perceived injustice (PI), assessed by the Injustice Experience Questionnaire (IEQ), is an important trigger of anger. Both PI and anger are associated with adverse chronic pain outcomes, and with comorbid mental health severity. We aimed examined the roles of PI and anger in mediating pain across Fibromyalgia patients, with and without comorbid anxiety/depression (FM+A/D, FM-A/D, respectively), as well as rheumatoid arthritis (RA), and pain-free controls (PFC). We hypothesized the highest levels of PI, anger, and pain in FM+A/D patients, followed by FM-A/D, RA, and PFC, thus also validating a Hebrew version of the IEQ. We translated the IEQ using the forward-backward method and collected data online. Based on self-reported anxiety/depression, the sample comprised 66 FM+A/D patients, 64 FM-A/D, 34 RA, and 32 PFCs. Assessments included the IEQ, state and trait anger, pain intensity, anxiety, depression, and pain catastrophizing. The structure and reliability of the Hebrew IEQ were examined using factor analysis and Cronbach alpha. Bootstrapped-based modeling was used to test the roles of state and trait anger in mediating and moderating the relationship between PI and pain intensity. We confirmed a one-factor structure of the IEQ, with excellent reliability. FM+A/D patients demonstrated the highest scores in all measures. Within this group, trait anger moderated the mediating effect of state anger in the relationship between PI and pain intensity. Our findings validate a Hebrew IEQ and highlight the importance of PI and state and trait anger in the differential manifestation of mental health comorbidity in FM.

The effect of justice sensitivity on malevolent creativity: the mediating role of anger and the moderating role of emotion regulation strategies

Backgroundthe AMORAL model emphasizes the close connection of individuals’ belief system and malevolent creativity. Belief in a just world theory (BJW) states that people have a basic need to believe that the world they live in is just, and everyone gets what they deserve. Therefore, justice matters to all people. Justice sensitivity, as one of individual trait, has been found associated with negative goals. However, relevant studies have not tested whether justice sensitivity can affect malevolent creativity and its psychological mechanisms. Additionally, researchers have found that both anger and emotion regulation linked with justice sensitivity and malevolent creativity, but their contribution to the relationship between justice sensitivity and malevolent creativity remained unclear. The current study aims to explore the influence of justice sensitivity on malevolent creativity, the mediating effect of trait anger/state anger on the relationship between justice sensitivity and malevolent creativity, and the moderating effect of emotion regulation on this mediating effect.MethodsA moderated mediating model was constructed to test the relationship between justice sensitivity and malevolent creativity. A sample of 395 Chinese college students were enrolled to complete the questionnaire survey.ResultsJustice sensitivity positively correlated with malevolent creativity, both trait anger and state anger partly mediated the connection between justice sensitivity and malevolent creativity. Moreover, emotion regulation moderated the indirect effect of the mediation model. The indirect effect of justice sensitivity on malevolent creativity through trait anger/state anger increased as the level of emotion regulation increased. The results indicated that justice sensitivity can affect malevolent creativity directly and indirectly through the anger. The level of emotion regulation differentiated the indirect paths of justice sensitivity on malevolent creativity.ConclusionsJustice sensitivity and malevolent creativity was mediated by trait anger/state anger. The higher sensitivity to justice, the higher level of trait anger/state anger, which in turn boosted the tendency of malevolent creativity. This indirect connection was moderated by emotion regulation, individuals with high emotion regulation are better able to buffer anger from justice sensitivity.

Investigating the Role of Anger and Cognitive Malfunction in Mental Health: A Cross-Sectional Exploration Paving the Way for a Subsequent Experiment

The functional outcomes associated with subjective well-being (SWB) and the detrimental aspects of psychological distress (PD) make it essential to explore contributing factors. The present study investigated a model about the existing gap in the determining role of trait anger (TA), state anger (SA), cognitive reappraisal (CR), rumination and cognitive failure (CF) as predictors of SWB and PD. The study contributes by exploring the interaction of dispositional, situation factors and emotional regulation strategies in shaping SWB and PD in the Indian Sample. A cross-sectional survey design was employed wherein 600 young adults aged 18–40 (Mage = 22.13, SDage = 4.06) were recruited from Uttar Pradesh, India using a multi-level cluster sampling method. The data were collected using questionnaires in the field setting during August–December 2021. Regression and path analysis revealed that the proposed predictors explained significant variance in SWB and PD, i.e., R 2 = 0.24, F (5, 594) = 38.03, p < 0.01, Cohen f 2 =0.31 and R 2 = 0.35, F (5, 594) = 66.40, p < 0.01, Cohen f 2 = 0.53, respectively. The models also fit well with the statistical indices. Except CR, all predictors emerged as significant risk factors. The findings suggest that the interventions to reduce PD and enhance SWB may consider inculcating CR and reducing higher levels of TA, SA, rumination and CF to enhance an individual’s adaptive functioning. The findings pave the way for conducting a pre-planned experiment to study the outcomes of various levels of TA in regulating incidental anger (SA) employing CR and rumination.

The Effect of Emotion on Time Perception in Youth Athletes with Different Alerting Efficiencies.

Time perception plays a critical role in executing movements in various competitions. However, less research has been conducted on the alerting component of attention in the processing of time perception, and that the effects of emotion on the alerting network show inconsistent effects. This study is aimed to explore the factors that may influence time perception in youth athletes and these relationships. A total of 225 participants were recruited to assess alerting efficiency using the Attention Network Test and were divided into high and low alerting efficiency groups based on the front and back 27% of the ranked alerting scores as a dividing metric, and subsequently participants completed Time replication task under different emotionally induced conditions. Alerting efficiency had a significant effect on time perception, with the high alerting efficiency subjects having higher time estimation accuracy [F (1106) = 6.32, p = 0.013, η2p = 0.10] and being more inclined to overestimate time perception [F (1106) = 12.64, p = 0.001, η2 p = 0.11]. An interaction was found between emotion and alerting efficiency on time replication ratio [F (2106) = 3.59, p = 0.031, η2p = 0.08], and further simple effects analyses found that the low alerting efficiency subjects tended to overestimate time in the anger state relative to the happy and neutral states [F (2106) = 5.93, p < 0.01, η2p = 0.10]. These findings suggest that high alerting efficiency in youth athletes is associated with greater time perception response advantage; The time perception of low alerting efficiency youth athletes was more likely to be affected by emotions. This study provides a reference for the training of time perception and specialized perceptual ability of youth athletes, enriches the index system of psychological selection of youth athletes.

Accuracy and Speed of Emotion Recognition With Face Masks.

Wearing face masks is one of the important actions to prevent the spread of COVID-19 among people around the world. Nevertheless, social interaction is limited via masks, and this impacts the accuracy and speed of emotional perception. In the present study, we assess the impact of mask-wearing on the accuracy and speed of emotion recognition. Fifty people (female n = 39, male n = 11) aged 19-28 participated in the study (M = 21.1 years). We used frontal photos of a Kosova woman who belonged to the same participants' age group, with a grey background. Twelve different pictures were used that showed the emotional states of fear, joy, sadness, anger, neutrality, and disgust, in masked and unmasked conditions. The experiment was conducted in a controlled laboratory setting. Participants were faster for identifying emotions like joy (1.507 ms) and neutral (1.971 ms). The participants were more accurate (emotions identification) in unmasked faces (M = 85.7%) than in masked faces (M = 73.8%), F(1,98) = 20.73, MSE = 1027.66, p ≤ .001, partial η² = 0.17. Masks make confusion and reduce the accuracy and speediness of emotional detection. This may have a notable impact on social interactions among peoples.

Affective dysfunction mediates the link between neuroimmune markers and the default mode network functional connectivity, and the somatic symptoms in somatic symptom disorder

ObjectiveSomatic symptom disorder (SSD) is characterized by physical symptoms and associated functional impairments that are often comorbid with depression and anxiety disorders. In this study, we explored relationships between affective symptoms and the functional connectivity of the default mode network (DMN) in SSD patients, as well as the impact of peripheral inflammation. We employed mediation analyses to investigate the potential pathways between these factors. MethodsWe recruited a total of 119 individuals (74 unmedicated SSD patients and 45 healthy controls), who were subjected to comprehensive psychiatric and clinical evaluations, blood tests, and resting-state functional magnetic resonance imaging scanning. We assessed neuroimmune markers (interleukin-6 (IL-6), high-sensitivity C-reactive protein (hs-CRP), tumor necrosis factor-α (TNF-α), tryptophan, serotonin, and 5-hydroxyindoleacetic acid (5-HIAA)), clinical indicators of somatic symptoms, depression, anxiety, anger, alexithymia, and functional connectivity (FC) within the DMN regions. Data were analyzed using correlation and mediation analysis, with a focus on exploring potential relations between clinical symptoms, blood indices, and DMN FCs. ResultsPatients with SSD had higher clinical scores as well as IL-6 and TNF-α levels compared with those in the control group (P < 0.05). The SSD group exhibited lower FC strength between the left inferior parietal lobule and left prefrontal cortex (Pfalse discovery rate (FDR) < 0.05). Exploratory correlation analysis revealed that somatic symptom scores were positively correlated with affective symptom scores, negatively correlated with the FC strength between the intra prefrontal cortex regions, and correlated with levels of IL-6, TNF- α, and tryptophan (uncorrected P < 0.01). Mediation analysis showed that levels of anxiety and trait anger significantly mediated the relations between DMN FC strength and somatic symptoms. In addition, the DMN FC mediated the level of trait anger with respect to somatic symptoms (all PFDR < 0.05). The levels of depression and trait anger exhibited significant mediating effects as suppressors of the relations between the level of 5-HIAA and somatic symptom score (all PFDR < 0.05). Further, the level of 5-HIAA had a mediating effect as a suppressor on the relation between DMN FC and state anger. Meanwhile, the levels of hs-CRP and IL-6 had full mediating effects as suppressors when explaining the relations of DMN FC strengths with the level of depression (all PFDR < 0.05). The patterns of valid mediation pathways were different in the control group. ConclusionsAffective symptoms may indirectly mediate the associations between DMN connectivity, somatic symptoms, and neuroimmune markers. Inflammatory markers may also mediate the impact of DMN connectivity on affective symptoms. These results emphasize the importance of affective dysregulation in understanding the mechanisms of SSD and have potential implications for the development of tailored therapeutic approaches for SSD patients with affective symptoms. Furthermore, in SSD research using DMN FC or neuroimmune markers, considering and incorporating such mediating effects of affective symptoms suggests the possibility of more accurate prediction and explanation.

A quasi-experimental study in sibling dyads: differential provocation-aggression patterns in the interactive taylor aggression paradigm.

The Taylor Aggression Paradigm (TAP) is a well-established tool for assessing provocation-induced reactive aggression. We introduce an interactive version, the iTAP, with real-time opponents across 60 trials, including five simulated provocation trials in the middle. In this quasi-experimental study, we evaluate the effectiveness of the paradigm to investigate reactive aggression in interacting participants. The design allows us to employ the TAP in settings of high familiarity dyads, addressing an existing gap. Twenty-eight healthy same-sex adult sibling pairs (N = 56) competed against each other in the iTAP, exemplifying high familiarity through their social and emotional co-development, and mutual knowledge. Additionally, we explore naturally arising aggression types in terms of sibling pairs' reciprocal aggression trajectories across trials. Lastly, we investigate situational and personal variables influencing reactive aggression on the iTAP within high familiarity dyads. In line with non-interactive TAP versions, siblings employed a global "tit-for-tat" strategy in response to heightened provocation: Aggression increased during manipulated trials of increasing provocation, persisted during real interaction and declined in the final block, suggesting sibling co-regulation which was underscored by the convergence in within-pair aggression level. We found no gender differences in these dynamics but a trend for higher initial aggression levels within brother pairs and higher responsiveness to increased provocation in sister pairs. Overall aggression levels were related to situational variables including trial outcome (lost, won, and tie), Further, siblings' state anger correlated positively with aggression scores on the iTAP. Aggression was not reliably related to personal variables predicting aggression. We identified subgroups of sibling pairs with distinct provocation-aggression patterns related to differences in reported behavioral motivations and emotional states. The results highlight situational over personal variables in determining aggressive behavior on the task in this sample of healthy adults. While no direct link between sibling relationship quality and aggression was found, the overall behavior was likely influenced by the familiarity between siblings and the specific context of their relationship. The iTAP demonstrates promise as a tool for studying reciprocal aggressive behavior. The emergence of different interaction patterns underscores the ecological validity introduced by the interactive context, which complements the standard versions of the TAP.