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AIMS: Childhood adversities (CAs) predict heightened risks of posttraumatic stress disorder (PTSD) and major depressive episode (MDE) among people exposed to adult traumatic events. Identifying which CAs put individuals at greatest risk for these adverse posttraumatic neuropsychiatric sequelae (APNS) is important for targeting prevention interventions. METHODS: Data came from n = 999 patients ages 18-75 presenting to 29 U.S. emergency departments after a motor vehicle collision (MVC) and followed for 3 months, the amount of time traditionally used to define chronic PTSD, in the Advancing Understanding of Recovery After Trauma (AURORA) study. Six CA types were self-reported at baseline: physical abuse, sexual abuse, emotional abuse, physical neglect, emotional neglect and bullying. Both dichotomous measures of ever experiencing each CA type and numeric measures of exposure frequency were included in the analysis. Risk ratios (RRs) of these CA measures as well as complex interactions among these measures were examined as predictors of APNS 3 months post-MVC. APNS was defined as meeting self-reported criteria for either PTSD based on the PTSD Checklist for DSM-5 and/or MDE based on the PROMIS Depression Short-Form 8b. We controlled for pre-MVC lifetime histories of PTSD and MDE. We also examined mediating effects through peritraumatic symptoms assessed in the emergency department and PTSD and MDE assessed in 2-week and 8-week follow-up surveys. Analyses were carried out with robust Poisson regression models. RESULTS: Most participants (90.9%) reported at least rarely having experienced some CA. Ever experiencing each CA other than emotional neglect was univariably associated with 3-month APNS (RRs = 1.31-1.60). Each CA frequency was also univariably associated with 3-month APNS (RRs = 1.65-2.45). In multivariable models, joint associations of CAs with 3-month APNS were additive, with frequency of emotional abuse (RR = 2.03; 95% CI = 1.43-2.87) and bullying (RR = 1.44; 95% CI = 0.99-2.10) being the strongest predictors. Control variable analyses found that these associations were largely explained by pre-MVC histories of PTSD and MDE. CONCLUSIONS: Although individuals who experience frequent emotional abuse and bullying in childhood have a heightened risk of experiencing APNS after an adult MVC, these associations are largely mediated by prior histories of PTSD and MDE.

A growing body of research has focused on the differentiation of emotion-related versus non-emotion-related impulsivity, assessed by the Three-Factor Impulsivity (TFI) index. The goal of this study is to develop a German TFI index, and to validate the emotion-related impulsivity subscales against indices of substance abuse, physical or psychological disorder, physical exercise, BMI, and hours of sleep. 395 native-German speakers completed the German TFI index and questions on validity indicators online. Factor analyses supported the three-factor structure, including Pervasive Influence of Feelings, Lack of Follow Through, and Feelings Trigger Action. Correlations between factors were higher than in the original work. Both emotion-related impulsivity subscales correlated significantly with psychological disorder, engagement in and minutes of physical exercise per week. When included in multivariate regression models, the three factors explained 3.1%, and 29.2% of variance in amount of exercise per week and psychological disorder, respectively. In sum, findings indicated that the German TFI index has a robust three-factor structure that showed expected links to validity indicators, and novel effects in relation to physical exercise.

© 2014 Macmillan Publishers Limited A growing body of research demonstrates that individuals diagnosed with major depressive disorder (MDD) are characterized by shortened telomere length, which has been posited to underlie the association between depressio

This study was designed to assess the effects of irrelevant emotional material on the ability to update the contents of working memory in depression. For each trial, participants were required to memorize 2 lists of emotional words and subsequently to ignore 1 of the lists. The impact of irrelevant emotional material on the ability to update the contents of working memory was indexed by response latencies on a recognition task in which the participants decided whether or not a probe was a member of the relevant list. The authors compared response latencies to probes from the irrelevant list to response latencies to novel probes of the same valence (intrusion effect). The results indicate that, compared to control participants in both neutral and sad mood states, depressed participants showed greater intrusion effects when presented with negative words. In an important finding, intrusion effects for negative words were correlated with self-reported rumination. These findings indicate that depression is associated with difficulties removing irrelevant negative material from working memory. Results also indicate that the increased interference from irrelevant negative material is associated with rumination. [ABSTRACT FROM AUTHOR]

Exposure to major life stressors and aberrant brain functioning have been linked to anxiety and depression, especially during periods of heighted functional brain plasticity, such as adolescence. However, it remains unclear if specific characteristics of major life stressors and functional network disruptions differentially predict anxiety and depression symptoms over time and, if so, whether they act independently or jointly. We collected baseline lifetime stressor exposure data and resting-state functional magnetic resonance imaging data in a longitudinal sample of 107 adolescents enriched for anxiety and depressive disorders. We examined five stressor characteristics: physical danger, interpersonal loss, humiliation, entrapment, and role change/disruption. Anxiety and depression symptoms were assessed at baseline, 6-month and 12-month follow-ups. Linear mixed effect models tested if these stressor characteristics, functional connectivity within and between frontoparietal, default, and ventral attention networks, and their interactions differentially predicted anxiety and depression symptoms at 6-month and 12-month follow-ups. Greater lifetime severity of physical danger and humiliation prospectively predicted increased anxiety symptoms at both follow-ups, whereas greater lifetime entrapment severity prospectively predicted higher anxiety and depression symptoms. Only the effects of lifetime entrapment severity were robust to including within- and between-network functional connectivity metrics and other significantly predictive stressor characteristics. Lifetime entrapment severity more strongly predicted anxiety symptoms in youth with higher default network connectivity. Greater functional connectivity between frontoparietal and default networks prospectively predicted increased depression symptoms. Taken together, these results underscore the critical importance of using stressor characteristics and functional connectivity jointly to study predictors for adolescent anxiety and depression.

Adolescence is a developmental period in which social interactions are critical for mental health. While the onset of COVID-19 significantly disrupted adolescents' social environments and mental health, it remains unclear how adolescents have adapted to later stages of the pandemic. We harnessed a machine learning architecture of Long Short-Term Memory recurrent networks (LSTM) with gradient-based feature importance, to model the association among daily social interactions and depressive symptoms during three stages of the pandemic. A year before COVID-19, 148 adolescents reported social interactions and depressive symptoms, every day for 21 days. One hundred sixteen of these youths completed a 28-day diary after schools closed due to COVID-19. Seventy-nine of these youths and additional 116 new participants completed a 28-day diary approximately a year into the pandemic. Our results show that LSTM successfully predicted depressive symptoms from at least a week of social interactions for all three waves (r 2  > .70). Our study shows the utility of using an analytic approach that can identify temporal and nonlinear pathways through which social interactions may confer risk for depression. Our unique analysis of the importance of input features enabled us to interpret the association between social interactions and depressive symptoms. Collectively, we observed a return to pre-pandemic patterns a year into the pandemic, with reduced gender and age differences during the pandemic closures. This pattern suggests that the system of social influences in adolescence was affected by COVID-19, and that this effect was attenuated in more chronic stages of the pandemic., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Existing emotion regulation research focuses on how individuals use different strategies to manage their own emotions-also called intra-personal emotion regulation. However, people often leverage connections with others to regulate their own emotions-interpersonal emotion regulation. The goal of the present studies was to develop a comprehensive and efficient scale-the Emotion Regulation Strategies Scale (ERSS)-to assess nine specific emotion regulation strategies that individuals use both intra-personally and interpersonally. These emotion regulation strategies were cognitive reappraisal, distraction, situation selection, problem solving, acceptance, calming, savoring, rumination, and expressive suppression. Data were collected between 2020 and 2022. Study 1 adopted a qualitative approach to establish original scale items. Results of the confirmatory factor analysis in Study 2 confirmed a nine-factor solution for both the intra- and the interpersonal scales and finalized scale items. A second confirmatory factor analysis in Study 3 found the ERSS for both the intra-personal and interpersonal scale models to possess good model fit. Correlations from Study 3 showed the ERSS subscales to be related in expected ways to existing emotion regulation scales, yet not redundant with these scales. The degree to which individuals used the range of intra- and interpersonal emotion regulation strategies assessed on the ERSS also related to the levels of clinical symptoms. The ERSS represents a comprehensive novel scale that can flexibly assess a range of specific emotion regulation strategies used both intra- and interpersonally. Future work should be conducted using the ERSS cross culturally and in clinical samples. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Deficient parental extrinsic interpersonal emotion regulation (IER, how people regulate others' emotions) is a known risk factor for adolescent depression. Although IER and depression development are transactional, dyadic processes, previous work has almost exclusively focused on how parental IER is associated with adolescent depression. The association between parental IER and adolescent depression, and the associations between adolescent IER and adolescent and parental depression have received little attention. Moreover, most studies have focused on the regulation of negative but not positive affect. We address these gaps by examining associations between parent and adolescent IER and depressive symptoms using the actor-partner interdependence model framework. For 28 days, 112 parent-adolescent dyads (12-18-year-old adolescents) completed a dyadic daily diary, reporting their own depressive symptoms and IER strategies employed in response to dyad members' positive and negative affect. Our results, based on 5,442 data points, show that the use of positive- and negative-affect-worsening IER is associated with more depression in the regulator (be it parent or adolescent). Surprisingly, parents' use of more negative-affect-improving IER was associated with higher levels of their own and adolescents' depression. Finally, adolescents' use of positive-affect-improving IER was associated with their own decreased depression. Overall, parents (vs. adolescents) used more negative- and positive-affect-improving extrinsic IER, whereas adolescents used more positive-affect-worsening extrinsic IER. Our results highlight the importance of using dyadic designs in studying depression and IER, as well as the need to consider who is regulating, the valence of the affect regulated, and the type of strategy used. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Emotional clarity and emotion differentiation (ED) are two core aspects of the application of emotional knowledge. During adolescence, novel emotional experiences result in temporary decreases of differentiation and clarity. These temporary difficulties might profoundly impact choices of regulatory strategies. And indeed, prior research has shown that lower emotional clarity and emotion differentiation are each associated with higher use of putatively maladaptive emotion regulation strategies in youth. The two constructs, however, are rarely examined together, and it remains unclear how they are associated in daily life, particularly in children and adolescents. In addition, previous studies have focused on the regulation of negative but not positive affect. To address these gaps, the present study used an intensive longitudinal design in youth. Between June 2021 and March 2022, 172 children and adolescents ( M = 12.99 years) completed a 28-day diary (> 3,500 entries in total) reporting daily affect, emotional clarity, and the use of five emotion regulation strategies in response to negative and positive affect (i.e., rumination, dampening, behavioral avoidance, negative and positive suppression). As predicted, on both between- and within-person levels, higher emotional clarity was associated with decreased use of all maladaptive emotion regulation strategies after adjusting for mean affect intensity. Results for emotion differentiation were mostly nonsignificant. Only higher daily positive emotion differentiation was associated with decreased rumination. In sum, this innovative study explores multiple aspects of emotional knowledge usage and regulation during a critical developmental stage and emphasizes the role of emotional clarity in the regulation of negative and positive affect. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The prevalence of depression is a major societal health concern, and there is an ongoing need to develop tools that predict who will become depressed. Past research suggests that depression changes the language we use, but it is unclear whether language is predictive of worsening symptoms. Here, we test whether the sentiment of brief written linguistic responses predicts changes in depression. Across two studies ( N = 467), participants provided responses to neutral open-ended questions, narrating aspects of their lives relevant to depression (e.g., mood, motivation, sleep). Participants also completed the Patient Health Questionnaire (PHQ-9) to assess depressive symptoms and a risky decision-making task with periodic measurements of momentary happiness to quantify mood dynamics. The sentiment of written responses was evaluated by human raters ( N = 470), Large Language Models (LLMs; ChatGPT 3.5 and 4.0), and the Linguistic Inquiry and Word Count (LIWC) tool. We found that language sentiment evaluated by human raters and LLMs, but not LIWC, predicted changes in depressive symptoms at a three-week follow-up. Using computational modeling, we found that language sentiment was associated with current mood, but language sentiment predicted symptom changes even after controlling for current mood. In summary, we demonstrate a scalable tool that combines brief written responses with sentiment analysis by AI tools that matches human performance in the prediction of future psychiatric symptoms., Competing Interests: Competing interests statement:R.B.R. holds equity in Maia, an AI tool for relationship communication.

Research on emotion regulation (ER) has increasingly recognized that people use multiple strategies simultaneously, often referred to as ER repertoire. Prior research found that ER repertoire is associated with psychopathology, but results have been mixed. Indeed, research from recent years suggests that it is the quality of ERs, more than their quantity, that needs to be considered. Based on the combination of the literatures on ER repertoire, polyregulation, and ER flexibility, we propose a novel metric: the ratio of using putatively maladaptive (vs. all) ER strategies. Using this metric, we examine (1) maladaptive ER ratio changes during the transition to adolescence, a developmental period in which the prevalence of depression sharply increases, and (2) whether changes in maladaptive ER ratio are associated with depressive symptoms. One-hundred and thirty-nine youths (baseline age: 8-15) reported ER strategies and depression daily for 21 days. One year later, 115 completed another 28-day daily-diary (N assessments  = 5631). Our results show that almost all youth use at least some maladaptive ERs. Importantly, maladaptive ER ratio decreases over a year of adolescence for most youths. Conversely, an increased maladaptive ER ratio predicted depression increases on the daily and on the yearly level. These results shed light on typical and atypical development of ER flexibility and emphasize the need to consider the balance between ERs in relation to psychopathology., Competing Interests: Declaration of Competing interest We have no interest of statements to report., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Social acceptance and rejection are salient experiences, especially during adolescence. Acceptance and rejection relate to changes in positive and negative affect, although directionality of the relation remains unclear. The ability to regulate affect following social experiences may be part of the etiology of social anxiety disorder. With the importance of social cues in adolescence, as well as adolescence as a key window for the onset of social anxiety, we used daily diary data collected in a sample ranging from 9 to 18 years to examine daily changes in acceptance, rejection, positive affect, and negative affect. Taking a person-centered approach, we constructed networks directionally linking social experiences and affect, which served as behaviors of interest ("nodes") in the network for each individual. From these networks, we extracted recovery times from different nodes, that is, the number of days it took for a node to return to baseline when (a) the node itself was perturbed and (b) when a connected node was perturbed. We examined associations between network metrics and social anxiety, age, gender, and their interaction. We found that the recovery time of positive affect when social acceptance was perturbed was inversely related with social anxiety and age, suggesting benefits of acceptance may be shorter lasting for those with more (vs. less) social anxiety symptoms and for older (vs. younger) adolescents. We conclude that positive affect may be a critical yet understudied piece in understanding why adolescence is a developmental period of increased risk for psychopathology and for understanding the etiology of social anxiety disorder. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Cognitive bias modification (CBM) has evolved from an experimental method testing cognitive mechanisms of psychopathology to a promising tool for accessible digital mental health care. While we are still discovering the conditions under which clinically relevant effects occur, the dire need for accessible, effective, and low-cost mental health tools underscores the need for implementation where such tools are available. Providing our expert opinion as Association for Cognitive Bias Modification members, we first discuss the readiness of different CBM approaches for clinical implementation, then discuss key considerations with regard to implementation. Evidence is robust for approach bias modification as an adjunctive intervention for alcohol use disorders and interpretation bias modification as a stand-alone intervention for anxiety disorders. Theoretical predictions regarding the mechanisms by which bias and symptom change occur await further testing. We propose that CBM interventions with demonstrated efficacy should be provided to the targeted populations. To facilitate this, we set a research agenda based on implementation frameworks, which includes feasibility and acceptability testing, co-creation with end-users, and collaboration with industry partners., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background: There is an imminent need to identify neural markers during preadolescence that are linked to developing depression during adolescence, especially among youth at elevated familial risk. However, longitudinal studies remain scarce and exhibit mixed findings. Here we aimed to elucidate functional connectivity (FC) patterns among preadolescents that interact with familial depression risk to predict depression two years later., Methods: 9-10 year-olds in the Adolescent Brain Cognitive Development (ABCD) Study were classified as healthy (i.e., no lifetime psychiatric diagnoses) at high familial risk for depression (HR; n=559) or at low familial risk for psychopathology (LR; n=1203). Whole-brain seed-to-voxel resting-state FC patterns with the amygdala, putamen, nucleus accumbens, and caudate were calculated. Multi-level, mixed-effects regression analyses were conducted to test whether FC at ages 9-10 interacted with familial risk to predict depression symptoms at ages 11-12., Results: HR youth demonstrated stronger associations between preadolescent FC and adolescent depression symptoms (ps<0.001) as compared to LR youth (ps>0.001), primarily among amygdala/striatal FC with visual and sensory/somatomotor networks., Conclusions: Preadolescent amygdala and striatal FC may be useful biomarkers of adolescent-onset depression, particularly for youth with family histories of depression. This research may point to neurobiologically-informed approaches to prevention and intervention for depression in adolescents., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Importance: Research on resilience after trauma has often focused on individual-level factors (eg, ability to cope with adversity) and overlooked influential neighborhood-level factors that may help mitigate the development of posttraumatic stress disorder (PTSD)., Objective: To investigate whether an interaction between residential greenspace and self-reported individual resources was associated with a resilient PTSD trajectory (ie, low/no symptoms) and to test if the association between greenspace and PTSD trajectory was mediated by neural reactivity to reward., Design, Setting, and Participants: As part of a longitudinal cohort study, trauma survivors were recruited from emergency departments across the US. Two weeks after trauma, a subset of participants underwent functional magnetic resonance imaging during a monetary reward task. Study data were analyzed from January to November 2023., Exposures: Residential greenspace within a 100-m buffer of each participant's home address was derived from satellite imagery and quantified using the Normalized Difference Vegetation Index and perceived individual resources measured by the Connor-Davidson Resilience Scale (CD-RISC)., Main Outcome and Measures: PTSD symptom severity measured at 2 weeks, 8 weeks, 3 months, and 6 months after trauma. Neural responses to monetary reward in reward-related regions (ie, amygdala, nucleus accumbens, orbitofrontal cortex) was a secondary outcome. Covariates included both geocoded (eg, area deprivation index) and self-reported characteristics (eg, childhood maltreatment, income)., Results: In 2597 trauma survivors (mean [SD] age, 36.5 [13.4] years; 1637 female [63%]; 1304 non-Hispanic Black [50.2%], 289 Hispanic [11.1%], 901 non-Hispanic White [34.7%], 93 non-Hispanic other race [3.6%], and 10 missing/unreported [0.4%]), 6 PTSD trajectories (resilient, nonremitting high, nonremitting moderate, slow recovery, rapid recovery, delayed) were identified through latent-class mixed-effect modeling. Multinominal logistic regressions revealed that for individuals with higher CD-RISC scores, greenspace was associated with a greater likelihood of assignment in a resilient trajectory compared with nonremitting high (Wald z test = -3.92; P < .001), nonremitting moderate (Wald z test = -2.24; P = .03), or slow recovery (Wald z test = -2.27; P = .02) classes. Greenspace was also associated with greater neural reactivity to reward in the amygdala (n = 288; t277 = 2.83; adjusted P value = 0.02); however, reward reactivity did not differ by PTSD trajectory., Conclusions and Relevance: In this cohort study, greenspace and self-reported individual resources were significantly associated with PTSD trajectories. These findings suggest that factors at multiple ecological levels may contribute to the likelihood of resiliency to PTSD after trauma.

There are significant challenges to identifying which individuals require intervention following exposure to trauma, and a need for strategies to identify and provide individuals at risk for developing PTSD with timely interventions. The present study seeks to identify a minimal set of trauma-related symptoms, assessed during the weeks following traumatic exposure, that can accurately predict PTSD. Participants were 2185 adults (Mean age=36.4 years; 64% women; 50% Black) presenting for emergency care following traumatic exposure. Participants received a 'flash survey' with 6-8 varying symptoms (from a pool of 26 trauma symptoms) several times per week for eight weeks following the trauma exposure (each symptom assessed ∼6 times). Features (mean, sd, last, worst, peak-end scores) from the repeatedly assessed symptoms were included as candidate variables in a CART machine learning analysis to develop a pragmatic predictive algorithm. PTSD (PCL-5 ≥38) was present for 669 (31%) participants at the 8-week follow-up. A classification tree with three splits, based on mean scores of nervousness, rehashing, and fatigue, predicted PTSD with an Area Under the Curve of 0.836. Findings suggest feasibility for a 3-item assessment protocol, delivered once per week, following traumatic exposure to assess and potentially facilitate follow-up care for those at risk., Competing Interests: Declaration of Competing Interest Dr. Neylan has received research support from NIH, VA, and Rainwater Charitable Foundation, and consulting income from Jazz Pharmaceuticals. In the last three years Dr. Clifford has received research funding from the NSF, NIH and LifeBell AI, and unrestricted donations from AliveCor Inc, Amazon Research, the Center for Discovery, the Gates Foundation, Google, the Gordon and Betty Moore Foundation, MathWorks, Microsoft Research, Nextsense Inc, One Mind Foundation, and the Rett Research Foundation. Dr. Clifford has financial interest in AliveCor Inc and Nextsense Inc. He also is the CTO of MindChild Medical with significant stock. These relationships are unconnected to the current work. Dr. Germine receives funding from the National Institute of Mental Health (R01 MH121617) and is on the board of the Many Brains Project. Her family also has equity in Intelerad Medical Systems, Inc. Dr. Rauch reported serving as secretary of the Society of Biological Psychiatry; serving as a board member of Community Psychiatry and Mindpath Health; serving as a board member of National Association of Behavioral Healthcare; serving as secretary and a board member for the Anxiety and Depression Association of America; serving as a board member of the National Network of Depression Centers; receiving royalties from Oxford University Press, American Psychiatric Publishing Inc, and Springer Publishing; and receiving personal fees from the Society of Biological Psychiatry, Community Psychiatry and Mindpath Health, and National Association of Behavioral Healthcare outside the submitted work. Dr. Jones has no competing interests related to this work, though he has been an investigator on studies funded by AstraZeneca, Vapotherm, Abbott, and Ophirex. Dr. Joormann receives consulting payments from Janssen Pharmaceuticals. Dr. Harte has no competing interest related to this work, though in the last three years he has received research funding from Aptinyx and Arbor Medical Innovations, and consulting payments from Aptinyx. Dr. Koenen’s research has been supported by the Robert Wood Johnson Foundation, the Kaiser Family Foundation, the Harvard Center on the Developing Child, Stanley Center for Psychiatric Research at the Broad Institute of MIT and Harvard, the National Institutes of Health, One Mind, Anonymous Philanthropy, LLC, and Cohen Veterans Bioscience. She has been a paid consultant for the US Department of Justice and Covington Burling, LLP over the last three years. She has been a paid external reviewer for the Chan Zuckerberg Foundation, the University of Cape Town, and Capita Ireland. She has had paid speaking engagements in the last three years with the American Psychological Association, European Central Bank. Sigmund Freud University – Milan, Cambridge Health Alliance, and Coverys. She receives royalties from Guilford Press and Oxford University Press. Dr. McLean has served as a consultant for Walter Reed Army Institute for Research, Arbor Medical Innovations, and BioXcel Therapeutics, Inc., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Social neuroscientists often use magnetic resonance imaging (MRI) to understand the relationship between social experiences and their neural substrates. Although MRI is a powerful method, it has several limitations in the study of social experiences, first and foremost its low ecological validity. To address this limitation, researchers have conducted multimethod studies combining MRI with Ecological Momentary Assessment (EMA). However, there are no existing recommendations for best practices for conducting and reporting such studies. To address the absence of standards in the field, we conducted a systematic review of papers that combined the methods. A systematic search of peer-reviewed papers resulted in a pool of 11,558 articles. Inclusion criteria were studies in which participants completed (a) Structural or functional MRI and (b) an EMA protocol that included self-report. Seventy-one papers met inclusion criteria. The following review compares these studies based on several key parameters (e.g., sample size) with the aim of determining feasibility and current standards for design and reporting in the field. The review concludes with recommendations for future research. A special focus is given to the ways in which the two methods were combined analytically and suggestions for novel computational methods that could further advance the field of social neuroscience.

Responding to the emotions of the people around us is a phenomenon traversing human lives; however, research has only recently started exploring the predictors of interpersonal emotion regulation (IER). In two ecological momentary assessment studies conducted in 2021 and 2022, we tested whether facets of empathy (i.e., mentalizing, experience sharing, empathic concern, and personal distress) are associated with other-focused IER goals and their attainment in everyday life ( N s = 125 and 204). Study 1 examined associations between mentalizing, experience sharing, and global hedonic and counter-hedonic IER goals (i.e., making others feel better or worse) in a relatively young and predominantly female student sample in Germany. Study 2 expanded these findings to empathic concern, personal distress, and specific types of hedonic and counter-hedonic IER goals (i.e., increasing, decreasing, and/or maintaining others' positive and/or negative emotions) in a more diverse U.S. community sample. Participants primarily endorsed hedonic IER goals, which were associated with higher mentalizing and experience sharing in both studies and higher empathic concern and lower personal distress in Study 2. Counter-hedonic IER goals were positively associated with experience sharing and personal distress in Study 2. Conversely, empathic concern and mentalizing were negatively related to counter-hedonic IER goals. We also found differential associations for state and trait empathy with IER goals. All empathy facets except personal distress were positively associated with goal attainment in Study 2. These findings address a major gap in our knowledge about everyday IER and offer a novel perspective on empathy in social emotion regulation processes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Background: Post-traumatic stress disorder (PTSD) and substance use (tobacco, alcohol, and cannabis) are highly comorbid. Many factors affect this relationship, including sociodemographic and psychosocial characteristics, other prior traumas, and physical health. However, few prior studies have investigated this prospectively, examining new substance use and the extent to which a wide range of factors may modify the relationship to PTSD., Methods: The Advancing Understanding of RecOvery afteR traumA (AURORA) study is a prospective cohort of adults presenting at emergency departments (N = 2,943). Participants self-reported PTSD symptoms and the frequency and quantity of tobacco, alcohol, and cannabis use at six total timepoints. We assessed the associations of PTSD and future substance use, lagged by one timepoint, using the Poisson generalized estimating equations. We also stratified by incident and prevalent substance use and generated causal forests to identify the most important effect modifiers of this relationship out of 128 potential variables., Results: At baseline, 37.3% (N = 1,099) of participants reported likely PTSD. PTSD was associated with tobacco frequency (incidence rate ratio (IRR): 1.003, 95% CI: 1.00, 1.01, p = 0.02) and quantity (IRR: 1.01, 95% CI: 1.001, 1.01, p = 0.01), and alcohol frequency (IRR: 1.002, 95% CI: 1.00, 1.004, p = 0.03) and quantity (IRR: 1.003, 95% CI: 1.001, 1.01, p = 0.001), but not with cannabis use. There were slight differences in incident compared to prevalent tobacco frequency and quantity of use; prevalent tobacco frequency and quantity were associated with PTSD symptoms, while incident tobacco frequency and quantity were not. Using causal forests, lifetime worst use of cigarettes, overall self-rated physical health, and prior childhood trauma were major moderators of the relationship between PTSD symptoms and the three substances investigated., Conclusion: PTSD symptoms were highly associated with tobacco and alcohol use, while the association with prospective cannabis use is not clear. Findings suggest that understanding the different risk stratification that occurs can aid in tailoring interventions to populations at greatest risk to best mitigate the comorbidity between PTSD symptoms and future substance use outcomes. We demonstrate that this is particularly salient for tobacco use and, to some extent, alcohol use, while cannabis is less likely to be impacted by PTSD symptoms across the strata., Competing Interests: KK’s research has been supported by the Robert Wood Johnson Foundation, the Kaiser Family Foundation, the Harvard Center on the Developing Child, Stanley Center for Psychiatric Research at the Broad Institute of MIT and Harvard, the National Institutes of Health, One Mind, the Anonymous Foundation, and Cohen Veterans Bioscience. She has been a paid consultant for Baker Hostetler, Discovery Vitality, and the Department of Justice. She has been a paid external reviewer for the Chan Zuckerberg Foundation, the University of Cape Town, and Capita Ireland. She has had paid speaking engagements in the last three years with the American Psychological Association, European Central Bank. Sigmund Freud University – Milan, Cambridge Health Alliance, and Coverys. She receives royalties from Guilford Press and Oxford University Press. TN has received research support from NIH, VA, and Rainwater Charitable Foundation, and consulting income from Jazz Pharmaceuticals. In the last three years, GDC has received research funding from the NSF, NIH and LifeBell AI, and unrestricted donations from AliveCor Inc, Amazon Research, the Center for Discovery, the Gates Foundation, Google, the Gordon and Betty Moore Foundation, MathWorks, Microsoft Research, Nextsense Inc, One Mind Foundation, the Rett Research Foundation, and Samsung Research. GDC has financial interest in AliveCor Inc and Nextsense Inc. He also is the CTO of MindChild Medical and CSO of LifeBell AI and has ownership in both companies. These relationships are unconnected to the current work. SR reports grants from NIH during the conduct of the study; personal fees from SOBP Society of Biological Psychiatry paid role as secretary, other from Oxford University Press royalties, other from APP American Psychiatric Publishing Inc. royalties, other from VA Veterans Administration per diem for oversight committee, and other from Community Psychiatry/Mindpath Health paid board service, including equity outside the submitted work; other from National Association of Behavioral Healthcare for paid Board service; other from Springer Publishing royalties; and Leadership roles on Board or Council for SOBP, ADAA Anxiety and Depression Association of America, and NNDC National Network of Depression Centers. SS has received funding from the Florida Medical Malpractice Joint Underwriter’s Association Dr. Alvin E. Smith Safety of Healthcare Services Grant; Allergan Foundation; the NIH/NIA-funded Jacksonville Aging Studies Center JAX-ASCENT; R33AG05654; and the Substance Abuse and Mental Health Services Administration 1H79TI083101-01; and the Florida Blue Foundation. CJ has no competing interests related to this work, though he has been an investigator on studies funded by AstraZeneca, Vapotherm, Abbott, and Ophirex. JJ receives consulting payments from Janssen Pharmaceuticals. SEH has no competing interests related to this work, though in the last three years he has received research funding from Aptinyx and Arbor Medical Innovations, and consulting payments from Aptinyx, Heron Therapeutics, and Eli Lilly. SM served as a consultant for Walter Reed Army Institute for Research and for Arbor Medical Innovations. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The handling editor Y-lT declared a shared affiliation with the author(s) GDC., (Copyright © 2024 Garrison-Desany, Meyers, Linnstaedt, House, Beaudoin, An, Zeng, Neylan, Clifford, Jovanovic, Germine, Bollen, Rauch, Haran, Storrow, Lewandowski, Musey, Hendry, Sheikh, Jones, Punches, Swor, Gentile, Hudak, Pascual, Seamon, Harris, Pearson, Peak, Domeier, Rathlev, O’Neil, Sergot, Sanchez, Bruce, Joormann, Harte and McLean, Koenen and Denckla.)

Trait mindfulness confers emotional benefits and encourages skillful emotion regulation, in part because it helps people more deliberately attend to internal experiences and external surroundings. Such heightened attentional control might help skillfully deploy one's attention towards certain kinds of stimuli, which may in turn help regulate emotions, but this remains unknown. Testing how trait mindful people deploy attention when regulating their emotions could help uncover the specific mechanisms of mindfulness that confer its emotional benefits. The present study aimed to determine whether high trait mindfulness is associated with sustained attention biases to (i.e. longer gaze at) emotional scenes, when all participants are given the emotion regulation goal of staying in a positive mood. To measure this, we used eye tracking to assess selective attention to positive, neutral, and negative photographs. Higher trait mindfulness was associated with both a stronger attention bias for positive (vs. neutral and vs. negative) images, as well as greater success staying in a positive mood during viewing. Surprisingly, this attention bias towards the positive images did not mediate the relationship between mindfulness and maintenance of positive mood. Future work should compare visual attention to other emotion regulation strategies that may maximise positive affect for mindful people.

Background & Objectives: Basic attentional control, negative biases in attention and interpretation, and rumination are all cognitive processes associated with depression; however, less is known about their predictive role in depressive mood reactivity and -recovery in response to stress, and their relation to severity of depression., Design & Methods: We experimentally induced stress based on an autobiographical imagery script in a sample of 92 participants with Major Depressive Disorder with or without comorbid anxiety disorders. We used simple regression analysis for investigating the roles of state- and trait rumination, attentional networks, and attentional and interpretation biases for predicting stress-induced depressive mood reactivity and -recovery, respectively, and whether they in parallel mediated the association between cognitive processes and depression severity., Results: Stress-induced depressive mood reactivity was predicted by better orienting ability and more state rumination. Better recovery was predicted by better orienting efficiency and lower negative interpretation bias. Furthermore, the relation between state rumination and depression severity was partially mediated by depressive mood reactivity, however limited by the lack of temporal precedence in the analysis., Conclusions: We characterized the relation between cognitive processes and mood malleability in response to stress. Findings could refine theoretical models of depression if causality is established., Trial Registration: ClinicalTrials.gov identifier: NCT04137367.

Background: Borderline personality disorder (BPD) is thought to involve aberrant social learning, including impaired revision of social interpretations with new evidence (social interpretation inflexibility). However, this topic has received little empirical attention outside of specific literatures, such as moral inference or behavioral economics. Further, the contribution of comorbid depression to BPD-related interpretation inflexibility has not yet been assessed., Methods: In two independent samples (Study 1: N = 213; Study 2: N = 210, oversampled for BPD features), we assessed the associations between BPD symptoms, depressive symptoms, and task-based measures of social interpretation flexibility., Results: We found that BPD symptoms, particularly volatility of identity and relationships, were associated with less revision of social interpretations with both positive and negative evidence. Meanwhile, depressive symptoms were associated with a pattern of less revision of social interpretations with positive versus negative information., Limitations: The use of cross-sectional, crowdsourced samples limits causal interpretations. Translation to clinical populations should be assessed in future studies., Conclusions: Results suggest that inflexible social interpretations across valences may be a feature of BPD-related pathology, and could be connected to symptoms involving volatility in social contexts. Future studies should investigate whether treatments geared toward increasing the flexibility of social interpretations are effective in treating BPD symptoms, especially those involving interpersonal difficulties., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Background: Researchers have increasingly differentiated trait-like tendencies toward impulsivity occurring during emotional states (emotion-related impulsivity [ERI]) from impulsivity not tied to emotion (non-ERI). Relative to non-ERI, ERI has shown robust correlations with psychopathology and mild to moderate associations with physical health parameters (e.g., physical activity, poor sleep quality, body mass index [BMI]). Therefore, we first aimed to investigate the unique contributions of ERI and non-ERI to psychopathology symptoms while controlling for neuroticism. Second, we sought to explore the combined associations of physical health parameters with several impulsivity forms., Methods: German-speaking adults (N = 350, 35.9 ± 14.6 years, 69.1% female, BMI: 24.0 ± 4.8 kg/m 2 , mostly students or employees) completed measures of impulsivity, psychopathology symptoms, neuroticism, and physical health. We gathered measures of two ERI forms: Feelings Trigger Action and Pervasive Influence of Feelings. As a control comparison, we gathered a measure of non-ERI, the Lack of Follow-Through scale. We conducted separate path models for Aims 1 and 2., Results: For Aim 1, Pervasive Influence of Feelings showed strong links with internalizing symptoms. Feelings Trigger Action and Lack of Follow-Through showed small links with alcohol use. For Aim 2, poor sleep quality was related to all three impulsivity factors, while physical activity was only related to Pervasive Influence of Feelings and Lack of Follow-Through. BMI showed a curvilinear association with impulsivity., Conclusions: ERI is more directly relevant than non-ERI for psychopathology symptoms, emphasizing the need to differentiate between the two ERI types. The association of ERI and non-ERI with physical activity and poor sleep quality may serve as potential treatment targets for impulsivity-related problems., (© 2023 The Authors. Journal of Clinical Psychology published by Wiley Periodicals LLC.)

Background: Family history of depression is a robust predictor of early-onset depression, which may confer risk through alterations in neural circuits that have been implicated in reward and emotional processing. These alterations may be evident in youths who are at familial risk for depression but who do not currently have depression. However, the identification of robust and replicable findings has been hindered by few studies and small sample sizes. In the current study, we sought to identify functional connectivity (FC) patterns associated with familial risk for depression., Methods: Participants included healthy (i.e., no lifetime psychiatric diagnoses) youths at high familial risk for depression (HR) (n = 754; at least one parent with a history of depression) and healthy youths at low familial risk for psychiatric problems (LR) (n = 1745; no parental history of psychopathology) who were 9 to 10 years of age and from the Adolescent Brain Cognitive Development (ABCD) Study sample. We conducted whole-brain seed-to-voxel analyses to examine group differences in resting-state FC with the amygdala, caudate, nucleus accumbens, and putamen. We hypothesized that HR youths would exhibit global amygdala hyperconnectivity and striatal hypoconnectivity patterns primarily driven by maternal risk., Results: HR youths exhibited weaker caudate-angular gyrus FC than LR youths (α = 0.04, Cohen's d = 0.17). HR youths with a history of maternal depression specifically exhibited weaker caudate-angular gyrus FC (α = 0.03, Cohen's d = 0.19) as well as weaker caudate-dorsolateral prefrontal cortex FC (α = 0.04, Cohen's d = 0.21) than LR youths., Conclusions: Weaker striatal connectivity may be related to heightened familial risk for depression, primarily driven by maternal history. Identifying brain-based markers of depression risk in youths can inform approaches to improving early detection, diagnosis, and treatment., (Copyright © 2023 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.)

Background: Several hypotheses may explain the association between substance use, posttraumatic stress disorder (PTSD), and depression. However, few studies have utilized a large multisite dataset to understand this complex relationship. Our study assessed the relationship between alcohol and cannabis use trajectories and PTSD and depression symptoms across 3 months in recently trauma-exposed civilians., Methods: In total, 1618 (1037 female) participants provided self-report data on past 30-day alcohol and cannabis use and PTSD and depression symptoms during their emergency department (baseline) visit. We reassessed participant's substance use and clinical symptoms 2, 8, and 12 weeks posttrauma. Latent class mixture modeling determined alcohol and cannabis use trajectories in the sample. Changes in PTSD and depression symptoms were assessed across alcohol and cannabis use trajectories via a mixed-model repeated-measures analysis of variance., Results: Three trajectory classes (low, high, increasing use) provided the best model fit for alcohol and cannabis use. The low alcohol use class exhibited lower PTSD symptoms at baseline than the high use class; the low cannabis use class exhibited lower PTSD and depression symptoms at baseline than the high and increasing use classes; these symptoms greatly increased at week 8 and declined at week 12. Participants who already use alcohol and cannabis exhibited greater PTSD and depression symptoms at baseline that increased at week 8 with a decrease in symptoms at week 12., Conclusions: Our findings suggest that alcohol and cannabis use trajectories are associated with the intensity of posttrauma psychopathology. These findings could potentially inform the timing of therapeutic strategies.

Individuals at clinical high risk (CHR) for psychosis exhibit altered facial emotion processing (FEP) and poor social functioning. It is unclear whether FEP deficits result from attentional biases, and further, how these abnormalities are linked to symptomatology (e.g., negative symptoms) and highly comorbid disorders that are also tied to abnormal FEP (e.g., depression). In the present study, we employed an eye-tracking paradigm to assess attentional biases and clinical interviews to examine differences between CHR (N = 34) individuals and healthy controls (HC; N = 46), as well as how such biases relate to symptoms and functioning in CHR individuals. Although no CHR-HC differences emerged in attentional biases, within the CHR group, symptoms and functioning were related to biases. Depressive symptoms were related to some free-view attention switching biases (e.g., to and from fearful faces, r = .50). Negative symptoms were related to more slowly disengaging from happy faces (r = .44), spending less time looking at neutral faces (r =  - .42), and more time looking at no face (Avolition, r = .44). In addition, global social functioning was related to processes that overlapped with both depression and negative symptoms, including time looking at no face (r =  - .68) and free-view attention switching with fearful faces (r =  - .40). These findings are consistent with previous research, indicating that negative symptoms play a prominent role in the CHR syndrome, with distinct mechanisms relative to depression. Furthermore, the results suggest that attentional bias indices from eye-tracking paradigms may be predictive of social functioning., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.)

In 2020, esketamine received a supplemental indication as a therapy for major depression with suicidal ideation (MDSI), based on protocols enrolling hospitalized patients. Given the high risk of suicide following hospital discharge and the high relapse rates following discontinuation of esketamine, the optimal long-term treatment approach remains unclear. Cognitive behavioral therapy (CBT) is highly effective in relapse prevention and has been shown to prevent suicide attempts in high-risk populations. Here we describe the study protocol for the CBT-ENDURE trial: Cognitive Behavioral Therapy Following Esketamine for Major Depression and SUicidal Ideation for RElapse Prevention. Patients with depression (N = 100) who are admitted to hospital or are outpatients with clinically significant suicidal ideation will be enrolled in the study. All patients will receive esketamine (twice weekly for four weeks) and will be randomly assigned (1:1 ratio) to receive a 16-week course of CBT plus treatment as usual (CBT group) or treatment as usual only (TAU only group). Patients are followed for a total of 6 months. Supported under a funding announcement from NIMH to conduct safety and feasibility trials for patients at high risk for suicide, the primary outcome of the CBT-ENDURE study is feasibility (as measured by recruitment and retention), with a key secondary outcome being relapse among those who experience substantial benefit following two weeks of esketamine., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Published by Elsevier B.V.)