Neuromarkers in addiction: definitions, development strategies, and recent advances.

Substance use disorders (SUDs) are the most costly and prevalent psychiatric conditions. Recent calls emphasize a need for biomarkers-measurable, stable indicators of normal and abnormal processes and response to treatment or environmental agents-and, in particular, brain-based neuromarkers that will advance understanding of the neurobiological basis of SUDs and clinical practice. To develop neuromarkers, researchers must be grounded in evidence that a putative marker (i) is sensitive and specific to the psychological phenomenon of interest, (ii) constitutes a predictive model, and (iii) generalizes to novel observations (e.g., through internal cross-validation and external application to novel data). These neuromarkers may be used to index risk of developing SUDs (susceptibility), classify individuals with SUDs (diagnostic), assess risk for progression to more severe pathology (prognostic) or index current severity of pathology (monitoring), detect response to treatment (response), and predict individualized treatment outcomes (predictive). Here, we outline guidelines for developing and assessing neuromarkers, we then review recent advances toward neuromarkers in addiction neuroscience centering our discussion around neuromarkers of craving-a core feature of SUDs. In doing so, we specifically focus on the Neurobiological Craving Signature (NCS), which show great promise for meeting the demand of neuromarkers.

Development and initial testing of mindful journey: a digital mindfulness-based intervention for promoting recovery from Substance use disorder.

BACKGROUND/OBJECTIVES: There is a great unmet need for accessible adjunctive interventions to promote long-term recovery from substance use disorder (SUD). This study aimed to iteratively develop and test the initial feasibility and acceptability of Mindful Journey, a novel digital mindfulness-based intervention for promoting recovery among individuals with SUD. PATIENTS/MATERIALS: Ten adults receiving outpatient treatment for SUD. METHODS: Phase 1 (n = 5) involved developing and testing a single introductory digital lesson. Phase 2 included a separate sample (n = 5) and involved testing all 15 digital lessons (each 30- to 45-minutes) over a 6-week period, while also receiving weekly brief phone coaching for motivational/technical support. RESULTS: Across both phases, quantitative ratings (rated on a 5-point scale) were all at or above a 4 (corresponding with 'agree') for key acceptability dimensions, such as usability, understandability, appeal of visual content, how engaging the content was, and helpfulness for recovery. Additionally, in both phases, qualitative feedback indicated that participants particularly appreciated the BOAT (Breath, Observe, Accept, Take a Moment) tool for breaking down mindfulness into steps. Qualitative feedback was used to iteratively refine the intervention. For example, based on feedback, we added a second core mindfulness tool, the SOAK (Stop, Observe, Appreciate, Keep Curious), and we added more example clients and group therapy videos. In Phase 2, 4 out of 5 participants completed all 15 lessons, providing initial evidence of feasibility. Participants reported that the phone coaching motivated them to use the app. The final version of Mindful Journey was a smartphone app with additional features, including brief on-the-go audio exercises and a library of mindfulness practices. Although, participants used these additional features infrequently. CONCLUSIONS: Based on promising initial findings, future acceptability and feasibility testing in a larger sample is warranted. Future versions might include push notifications to facilitate engagement in the additional app features.

Estradiol effects on an emotional interference task in adolescents with current and remitted depression.

Attentional biases to emotional stimuli are thought to reflect vulnerability for mood disorder onset and maintenance. This study examined the association between the endogenous sex hormone estradiol and emotional attentional biases in adolescent females with either current or remitted depression. Three groups of participants (mean age ± SD) completed the Emotional Interrupt Task: 1) 20 adolescent females (15.1 ± 1.83 years) currently diagnosed with Major Depressive Disorder (MDD), 2) 16 adolescent females (16.4 ± 1.31 years) who had experienced at least one episode of MDD in their lifetime but currently met criteria for MDD in remission, and 3) 30 adolescent female (15.4 ± 1.83 years) healthy controls. Attentional interference (AI) scores were calculated as differences in target response reaction time between trials with emotional facial expressions versus neutral facial expressions. Estradiol levels were assayed by Salimetrics LLC using saliva samples collected within 30 min of waking on assessment days. Robust multiple regression with product terms evaluated estradiol's main effect on AI scores, as well as hypothesized estradiol × diagnostic group interactions. Although neither mean estradiol levels nor mean AI scores in the current-MDD and remitted-MDD groups differed from controls, the relationship between estradiol and overall AI score differed between control adolescents and the remitted-MDD group. Specifically, the remitted-MDD adolescents performed worse (i.e., showed greater attentional interference) when they had higher estradiol; no significant relationship existed in the current-MDD group. Because this finding was driven by angry and not happy stimuli, it appears higher estradiol levels were associated with greater susceptibility to the attention-capturing effects of negatively-valenced emotional content in girls at risk for MDD from prior history.

The effect of ten versus twenty minutes of mindfulness meditation on state mindfulness and affect.

We aimed to elucidate the effects of "dose" of a single-session of mindfulness meditation on state mindfulness and affect as well as moderators of effects. 372 adults recruited remotely via Amazon's MTurk platform were randomly assigned to either a: 10-min mindfulness meditation, 20-min mindfulness meditation, 10-min control, or 20-min control. Control conditions were recordings of a National Geographic article. Primary outcomes were changes in state mindfulness, anxiety, and negative and positive affect. Moderator variables included neuroticism, trait mindfulness, and prior meditation experience. Collapsing across doses, participants in mindfulness conditions reported greater increases in state mindfulness than in control conditions. There was a greater increase in state mindfulness in the 10-min mindfulness condition versus 10-min control condition. There were no differences between 10- and 20-min mindfulness conditions. Exploratory moderation analyses indicated that meditation (10 or 20) versus control (10 or 20) predicted increased state mindfulness among participants with lower trait mindfulness. Additionally, 20-min versus 10-min meditation predicted greater decreases in state anxiety among individuals with high trait mindfulness. Dose-response relationships were minimal, suggesting that 10 and 20 min of meditation may improve state mindfulness comparably. Findings support the benefits of brief mindfulness meditation and suggest that trait mindfulness moderates certain outcomes.

Listening to the Data: Computational Approaches to Addiction and Learning.

Computational approaches hold great promise for identifying novel treatment targets and creating translational therapeutics for substance use disorders. From circuitries underlying decision-making to computationally derived neural markers of drug-cue reactivity, this review is a summary of the approaches to data presented at our 2023 Society for Neuroscience Mini-Symposium. Here, we highlight data- and hypothesis-driven computational approaches that recently afforded advancements in addiction and learning neuroscience. First, we discuss the value of hypothesis-driven algorithmic modeling approaches, which integrate behavioral, neural, and cognitive outputs to refine hypothesis testing. Then, we review the advantages of data-driven dimensionality reduction and machine learning methods for uncovering novel predictor variables and elucidating relationships in high-dimensional data. Overall, this review highlights recent breakthroughs in cognitive mapping, model-based analysis of behavior/risky decision-making, patterns of drug taking, relapse, and neuromarker discovery, and showcases the benefits of novel modeling techniques, across both preclinical and clinical data.

Odour-imagery ability is linked to food craving, intake, and adiposity change in humans.

It is well-known that food-cue reactivity (FCR) is positively associated with body mass index (BMI)1 and weight change2, but the mechanisms underlying these relationships are incompletely understood. One prominent theory of craving posits that the elaboration of a desired substance through sensory imagery intensifies cravings, thereby promoting consumption3. Olfaction is integral to food perception, yet the ability to imagine odours varies widely4. Here we test in a basic observational study whether this large variation in olfactory imagery drives FCR strength to promote adiposity in 45 adults (23 male). We define odour-imagery ability as the extent to which imagining an odour interferes with the detection of a weak incongruent odour (the 'interference effect'5). As predicted in our preregistration, the interference effect correlates with the neural decoding of imagined, but not real, odours. These perceptual and neural measures of odour imagery are in turn associated with FCR, defined by the rated craving intensity of liked foods and cue-potentiated intake. Finally, odour imagery exerts positive indirect effects on changes in BMI and body-fat percentage over one year via its influences on FCR. These findings establish odour imagery as a driver of FCR that in turn confers risk for weight gain.

Randomized trial of mindfulness- and reappraisal-based regulation of craving training among daily cigarette smokers.

OBJECTIVE: Craving predicts smoking, yet existing interventions may not adequately target regulation of craving. We evaluated two versions of regulation of craving-training (ROC-T), a computerized intervention with intensive practice of strategies when exposed to smoking-related images. METHOD: Ninety-two nicotine-dependent daily smokers were randomized to mindfulness-based therapy (MBT) ROC-T focusing on mindful acceptance, and cognitive behavioral therapy (CBT) ROC-T focusing on reappraisal or no intervention control. The ROC task was administered pre- and postintervention to assess changes in cue-induced craving and mindfulness- and reappraisal-based regulation of craving. RESULTS: MBT and CBT-versus control-showed significantly greater reductions in smoking during the intervention phase (baseline to Week 4), corresponding to large (d = -1.08, 95% CI [-1.64, -0.52]) and medium-to-large effect sizes (d = -0.69, 95% CI [-1.22, -0.15]), respectively. During follow-up (Week 4-16), CBT showed significant increases in smoking, whereas MBT and control did not. For the entire study (baseline to Week 16), MBT showed significantly greater reductions in smoking compared to control (d = -1.6, 95% CI [-2.56, -0.66]) but CBT was not significantly different than control (d = -0.82, 95% CI [-1.77, 0.13]). There were no effects on smoking when directly comparing MBT and CBT. Quit rates were low across the sample, with no difference among conditions. MBT and CBT-versus control-significantly reduced cue-induced craving. CBT (but not MBT)-versus control-significantly improved reappraisal-based regulation of craving. Both MBT and CBT-versus control-significantly improved mindfulness-based regulation of craving. CONCLUSIONS: MBT- and CBT-ROC-T may reduce cue-induced craving and smoking, and MBT may be more durable than CBT. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Social interpretation inflexibility moderates emotional reactions to social situations in children and adolescents.

Interpretation biases and inflexibility (i.e., difficulties revising interpretations) have been linked to increased internalizing symptoms. Although adolescence is a developmental period characterized by novel social situations and increased vulnerability to internalizing disorders, no studies have examined interpretation inflexibility in adolescents. Additionally, no studies (on adolescents or adults) have examined interpretation flexibility as a protective factor against adverse outcomes of interpersonal events. Using a novel task and a 28-day diary we examined relations among interpretation bias and inflexibility, internalizing symptoms, and negative interpersonal events in a sample of children and adolescents (N = 159, ages 9-18). At baseline, negative interpretation bias was positively correlated with social anxiety symptoms, and positive interpretation bias negatively correlated with social anxiety and depressive symptoms. Inflexible positive interpretations were correlated with higher social anxiety and depressive symptoms, while inflexible negative interpretations were correlated with higher social anxiety. Finally, interpretation inflexibility moderated daily associations between negative interpersonal events and depressive symptoms in daily life, such that higher inflexibility was associated with stronger associations between interpersonal events and subsequent depressive symptoms, potentially increasing depressive symptom instability. These results suggest that interpretation biases and inflexibility may act as both risk and protective factors for adolescent anxiety and depression.

A Pilot Open Trial of a Digital Mindfulness-Based Intervention for Anorexia Nervosa.

Anorexia nervosa (AN) is a chronic and debilitating psychiatric disorder. Unfortunately, current treatments are lacking, with only 30-50% of individuals with AN recovering after treatment. We developed a beta-version of a digital mindfulness-based intervention for AN called Mindful Courage-Beta, which includes: (a) one foundational multimedia module; (b) 10 daily meditation mini-modules; (c) emphasis on a core skill set called the BOAT (Breathe, Observe, Accept, Take a Moment); and (d) brief phone coaching for both technical and motivational support. In this open trial, we aimed to evaluate (1) acceptability and feasibility; (2) intervention skill use and its association with state mindfulness in daily life; and (3) pre-to-post changes in target mechanisms and outcomes. Eighteen individuals with past-year AN or past-year atypical AN completed Mindful Courage-Beta over 2 weeks. Participants completed measures of acceptability, trait mindfulness, emotion regulation, eating disorder symptoms, and body dissatisfaction. Participants also completed ecological momentary assessment of skill use and state mindfulness. Acceptability ratings were good (ease-of-use: 8.2/10, helpfulness: 7.6/10). Adherence was excellent (100% completion for foundational module and 96% for mini-modules). Use of the BOAT in daily life was high (1.8 times/day) and was significantly associated with higher state mindfulness at the within-person level. We also found significant, large improvements in the target mechanisms of trait mindfulness (d = .96) and emotion regulation (d = .76), as well as significant, small-medium to medium-large reductions in eating disorder symptoms (ds = .36-.67) and body dissatisfaction (d = .60). Changes in trait mindfulness and emotion regulation had medium-large size correlations with changes in global ED symptoms and body dissatisfaction (rs = .43 - .56). Mindful Courage-Beta appears to be promising and further research on a longer, refined version is warranted.

Emotion regulation and disordered eating behaviour in youths: Two daily-diary studies.

OBJECTIVE: Disordered eating cognitions and behaviours in childhood and adolescence have been identified as precursors for the development of eating disorders. Another important contributor to eating disorder risk is maladaptive emotion regulation. However, while the regulation of negative affect has been the focus of much research, the literature on the role of positive emotion regulation in eating pathology is extremely limited. The present study extends previous research by examining the regulation of both positive and negative affect in disordered eating using two waves of a daily diary design. METHOD: Every evening for 21 days, 139 youths (8-15 years) reported their use of rumination, dampening, and disordered eating cognitions and behaviours. 1 year later, during the onset of the COVID-19 pandemic, 115 of these youths were followed-up. RESULTS: As predicted, higher levels of rumination and dampening were found to be associated with a higher frequency of weight concerns and restrictive eating on person-level (both Waves) and day-level (Wave 2). Further, a higher frequency of rumination at Wave 1 predicted increases in the frequency of restrictive eating 1 year later. CONCLUSIONS: Our findings underline the importance of examining regulation of both positive and negative emotion in order to understand eating disorder risk.

Odor imagery but not perception drives risk for food cue reactivity and increased adiposity.

Mental imagery has been proposed to play a critical role in the amplification of cravings. Here we tested whether olfactory imagery drives food cue reactivity strength to promote adiposity in 45 healthy individuals. We measured odor perception, odor imagery ability, and food cue reactivity using self-report, perceptual testing, and neuroimaging. Adiposity was assessed at baseline and one year later. Brain responses to real and imagined odors were analyzed with univariate and multivariate decoding methods to identify pattern-based olfactory codes. We found that the accuracy of decoding imagined, but not real, odor quality correlated with a perceptual measure of odor imagery ability and with greater adiposity changes. This latter relationship was mediated by cue-potentiated craving and intake. Collectively, these findings establish odor imagery ability as a risk factor for weight gain and more specifically as a mechanism by which exposure to food cues promotes craving and overeating.

A neuromarker for drug and food craving distinguishes drug users from non-users.

Craving is a core feature of substance use disorders. It is a strong predictor of substance use and relapse and is linked to overeating, gambling, and other maladaptive behaviors. Craving is measured via self-report, which is limited by introspective access and sociocultural contexts. Neurobiological markers of craving are both needed and lacking, and it remains unclear whether craving for drugs and food involve similar mechanisms. Across three functional magnetic resonance imaging studies (n = 99), we used machine learning to identify a cross-validated neuromarker that predicts self-reported intensity of cue-induced drug and food craving (P < 0.0002). This pattern, which we term the Neurobiological Craving Signature (NCS), includes ventromedial prefrontal and cingulate cortices, ventral striatum, temporal/parietal association areas, mediodorsal thalamus and cerebellum. Importantly, NCS responses to drug versus food cues discriminate drug users versus non-users with 82% accuracy. The NCS is also modulated by a self-regulation strategy. Transfer between separate neuromarkers for drug and food craving suggests shared neurobiological mechanisms. Future studies can assess the discriminant and convergent validity of the NCS and test whether it responds to clinical interventions and predicts long-term clinical outcomes.

Association of Drug Cues and Craving With Drug Use and Relapse: A Systematic Review and Meta-analysis.

Importance: Craving, which is a strong desire for drugs, is a new DSM-5 diagnostic criterion for substance use disorders (SUDs), which are the most prevalent, costly, and deadly forms of psychopathology. Despite decades of research, the roles of drug cues and craving in drug use and relapse remain controversial. Objective: To assess whether 4 types of drug cue and craving indicators, including cue exposure, physiological cue reactivity, cue-induced craving, and self-reported craving (without cue exposure), are prospectively associated with drug use and relapse. Data Sources: Google Scholar was searched for published studies from inception through December 31, 2018. In addition, backward and forward searches were performed on included articles to identify additional articles. Study Selection: Included studies reported a prospective statistic that linked cue and craving indicators at time 1 to drug use or relapse at time 2, in humans. Data Extraction and Synthesis: The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines were followed. Study characteristics and statistics were extracted and/or coded by 1 of the 2 authors and then checked by the other. Statistical analyses were performed from May to July 2021. Main Outcomes and Measures: Random-effects models were used to calculate prospective odds ratios (ORs) representing the association between cue and craving indicators and subsequent drug use/relapse. Results: A total of 18 205 records were identified, and 237 studies were included. Across 656 statistics, representing 51 788 human participants (21 216 with confirmed SUDs), a significant prospective association of all cue and craving indicators with drug use/relapse was found (OR, 2.05; 95% CI, 1.94-2.15), such that a 1-unit increase in cue and craving indicators was associated with more than double the odds of future drug use or relapse. A Rosenthal fail-safe analysis revealed that 180 092 null studies would need to be published to nullify this finding. Trim-and-fill analysis brought the adjusted effect size to an OR of 1.31 (95% CI, 1.25-1.38). Moderator analyses showed that some of the strongest associations were found for cue-induced craving, real cues or images, drug use outcome, same-day time lag, studies using ecological momentary assessment, and male participants. Conclusions and Relevance: Findings from this systematic review and meta-analysis suggest that drug cue and craving indicators play significant roles in drug use and relapse outcomes and are an important mechanism underlying SUDs. Clinically, these results support incorporating craving assessment across stages of treatment, as early as primary care.

Parental perspectives on attention-deficit/hyperactivity disorder treatments for children.

This study investigated parental perspectives and experiences on the evaluation and treatment process associated with attention-deficit/hyperactivity disorder (ADHD). Five hundred sixty-eight parents of youth 2-28 years-old (M = 9.37; SD = 4.11) diagnosed with ADHD responded to a 14-item online survey about their child's diagnosis and treatment. Parents reported that they had tried an average of 4.49 interventions (SD = 2.63). Parents further shared factors in treatment selection, most helpful parenting strategies, and preferences for types of treatments and treatment targets. A majority of parents reported incorporating many non-traditional strategies (e.g., exercise, healthy eating, outdoor activities) with goals of improving their child's coping skills, study habits, and anger management. The findings show that treatment choices were often selected based on trust in the provider, research support, and the child's preference. Given parental preferences for non-traditional strategies, treatment development efforts should consider these strategies as a component of a broader multimodal treatment approach to ADHD.

Brief training in regulation of craving reduces cigarette smoking.

INTRODUCTION: Craving is an important contributing factor in cigarette smoking and has been added as a diagnostic criterion for addiction in the DSM-5. Cognitive-behavioral therapy and other treatments that incorporate craving regulation strategies reduce smoking and the likelihood of relapse. Although this finding suggests that the regulation of craving is an important mechanism underlying smoking cessation, whether targeted interventions that train smokers to regulate craving can directly impact real-world smoking behaviors is unclear. METHOD: Across two pilot studies (N = 33; N = 60), we tested whether a brief, computer-delivered training session in the cognitive regulation of craving altered subsequent smoking behaviors in daily life. The study first randomly assigned participants to either a no training (control) group, or one of two Regulation of Craving Training (ROC-T) conditions. Next, all participants came into the lab and those assigned to ROC-T conditions were trained to implement a cognitive strategy to regulate their craving, by either focusing on the negative consequences of smoking, or by distracting themselves. Then, these participants underwent ROC-T during which they practiced using the strategy to regulate their craving during cue exposure. The study subsequently assessed participants' smoking via daily diaries for 3-6 days, and via self-report up to 1-month follow-up. RESULTS: Across both studies, ROC-T conditions were associated with significant reductions in average cigarettes smoked per day, with effects persisting through follow-up. CONCLUSION: These results confirm that the regulation of craving is an important mechanism of smoking cessation, and can be targeted via easily administered training procedures, such as ROC-T.

A methodological checklist for fMRI drug cue reactivity studies: development and expert consensus.

Cue reactivity is one of the most frequently used paradigms in functional magnetic resonance imaging (fMRI) studies of substance use disorders (SUDs). Although there have been promising results elucidating the neurocognitive mechanisms of SUDs and SUD treatments, the interpretability and reproducibility of these studies is limited by incomplete reporting of participants' characteristics, task design, craving assessment, scanning preparation and analysis decisions in fMRI drug cue reactivity (FDCR) experiments. This hampers clinical translation, not least because systematic review and meta-analysis of published work are difficult. This consensus paper and Delphi study aims to outline the important methodological aspects of FDCR research, present structured recommendations for more comprehensive methods reporting and review the FDCR literature to assess the reporting of items that are deemed important. Forty-five FDCR scientists from around the world participated in this study. First, an initial checklist of items deemed important in FDCR studies was developed by several members of the Enhanced NeuroImaging Genetics through Meta-Analyses (ENIGMA) Addiction working group on the basis of a systematic review. Using a modified Delphi consensus method, all experts were asked to comment on, revise or add items to the initial checklist, and then to rate the importance of each item in subsequent rounds. The reporting status of the items in the final checklist was investigated in 108 recently published FDCR studies identified through a systematic review. By the final round, 38 items reached the consensus threshold and were classified under seven major categories: 'Participants' Characteristics', 'General fMRI Information', 'General Task Information', 'Cue Information', 'Craving Assessment Inside Scanner', 'Craving Assessment Outside Scanner' and 'Pre- and Post-Scanning Considerations'. The review of the 108 FDCR papers revealed significant gaps in the reporting of the items considered important by the experts. For instance, whereas items in the 'General fMRI Information' category were reported in 90.5% of the reviewed papers, items in the 'Pre- and Post-Scanning Considerations' category were reported by only 44.7% of reviewed FDCR studies. Considering the notable and sometimes unexpected gaps in the reporting of items deemed to be important by experts in any FDCR study, the protocols could benefit from the adoption of reporting standards. This checklist, a living document to be updated as the field and its methods advance, can help improve experimental design, reporting and the widespread understanding of the FDCR protocols. This checklist can also provide a sample for developing consensus statements for protocols in other areas of task-based fMRI.

Meta-analysis of human prediction error for incentives, perception, cognition, and action.

Prediction errors (PEs) are a keystone for computational neuroscience. Their association with midbrain neural firing has been confirmed across species and has inspired the construction of artificial intelligence that can outperform humans. However, there is still much to learn. Here, we leverage the wealth of human PE data acquired in the functional neuroimaging setting in service of a deeper understanding, using an MKDA (multi-level kernel-based density) meta-analysis. Studies were identified with Google Scholar, and we included studies with healthy adult participants that reported activation coordinates corresponding to PEs published between 1999-2018. Across 264 PE studies that have focused on reward, punishment, action, cognition, and perception, consistent with domain-general theoretical models of prediction error we found midbrain PE signals during cognitive and reward learning tasks, and an insula PE signal for perceptual, social, cognitive, and reward prediction errors. There was evidence for domain-specific error signals--in the visual hierarchy during visual perception, and the dorsomedial prefrontal cortex during social inference. We assessed bias following prior neuroimaging meta-analyses and used family-wise error correction for multiple comparisons. This organization of computation by region will be invaluable in building and testing mechanistic models of cognitive function and dysfunction in machines, humans, and other animals. Limitations include small sample sizes and ROI masking in some included studies, which we addressed by weighting each study by sample size, and directly comparing whole brain vs. ROI-based results.

Emotion regulation and self-criticism in children and adolescence: Longitudinal networks of transdiagnostic risk factors.

Adolescence is a time of heightened risk for the development of psychopathology. Difficulties in emotion regulation and heightened levels of self-criticism are two processes that have been proposed as critical risk factors. Considering the accumulating evidence that risk factors rarely work in isolation, there is a pressing need to examine how self-criticism and emotion regulations strategies interact. The present study utilizes a network analysis approach to address this goal. One-hundred thirty-five children and adolescents (ages 8-15) completed daily-diaries every evening for 21 days (total N of assessments = 2,564), reporting self-criticism and use of emotion regulation strategies focused on negative and positive emotions. Network analysis was applied to estimate contemporaneous, temporal, and between-person networks. Results show that emotion regulation strategies are generally positively associated with each other at the within and between individual levels. As predicted, self-criticism was positively associated with rumination and dampening at the between and within-person networks; unexpectedly, problem-solving also clustered with them in the contemporaneous network. Moreover, problem-solving led to next-day increases in rumination and dampening, whereas self-criticism led to next-day increases in rumination but decreases in dampening. Finally, distraction in response to negative affect was closely tied with strategies that up-regulate positive affect. Collectively, these results shed light on the complex pathways through which self-criticism and emotion regulation interact over time. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Connections during crisis: Adolescents' social dynamics and mental health during COVID-19.

Adolescence is a critical period for social development, which COVID-19 has dramatically altered. Quarantined youths had limited in-person interactions with peers. The present study used an intensive longitudinal design to investigate changes in interpersonal dynamics and mental health during COVID-19. Specifically, we investigated whether the associations between different social contexts-that is, "spillover"-changed during COVID-19 and whether changes in social interactions during COVID-19 was associated with changes in depressive symptoms. Approximately 1 year prior to the onset of COVID-19, 139 youths reported depressive symptoms and daily interactions with parents, siblings, and friends, every day for 21 days via online questionnaires. Shortly after schools closed due to COVID-19, 115 of these youths completed a similar 28-day diary. Analyses included 112 youths (62 girls; 73% Caucasian; Mage = 11.77, range = 8 to 15 in Wave 1) who completed at least 13 diary days in each data wave. Our results show that younger adolescents experienced significant decreases in negative and positive interactions with friends, whereas older adolescents showed significant decreases in negative interactions with friends and significant increases in positive interactions with siblings. As predicted, within-day spillover of positive interactions and person-level association of negative interactions increased within the family during COVID-19, whereas within-day spillover of positive interactions between family and friends decreased. We also found a dramatic increase in depressive symptoms. More negative interactions and fewer positive interactions with family members were associated with changes in depressive symptoms. Our study sheds light on how youths' social development may be impacted by COVID-19. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Predicting Negative and Positive Affect During COVID-19: A Daily Diary Study in Youths.

The COVID-19 pandemic has the potential to profoundly affect youths' mental health. Understanding predictors of affective responding to the pandemic is critical for prevention and intervention efforts. This study examines emotion regulation as an important predictor of youth's changes in positive and negative affect. The present study of 115 participants (62 girls, Mage  = 11.77) explores the relation between pre-existing emotion regulation strategies, as measured by multi-week daily diaries pre-COVID, and youths' mean positive and negative affect levels and variability during a 28-day period amidst the pandemic, while including COVID-related worries and isolation as important moderators. The findings provide important insight into interactions between pre-existing vulnerabilities and COVID-related stressors in predicting affective adjustment in youth.