No Impact of Tdcs on Stress-Induced State Rumination and no Influence of Executive Control and Trait Rumination: A Double-Blind Sham-Controlled Within-Subjects Study.

Objective: Rumination is conceptualized as a critical transdiagnostic vulnerability and maintenance factor for affective dysregulation and related emotional disorders. Recent research has pointed to transcranial direct current stimulation (tDCS) as a novel therapeutic tool for alleviating rumination, especially stress-induced rumination. However, the mechanisms of action underlying this effect remain unclear, particularly regarding the potential moderating role of executive control and trait-like rumination. Therefore, in this study, we investigated the impact of anodal tDCS on stress-induced rumination and the potential moderating influence of executive control and trait-like rumination on this efect. Method: Forty participants from the general community (i.e., unselected sample) took part in a double-blind within-subjects design study wherein we compared anodal stimulation over the left dorsolateral prefrontal cortex(dlPFC) with a sham-stimulation procedure. Participants completed an N-back task, reflecting executive control, during tDCS stimulation, followed by a stress-induction protocol wherein we assessed stress-induced state rumination. Results: We found no significant effect of tDCS on stress-induced state rumination and no modulation by executive control or trait rumination. Post-hoc Bayesian analyses corroborated these results and even supported the hypothesis that anodal tDCS does not impact stress-induced rumination. Conclusions: From a clinical perspective, our results are at odds with the current outlook that tDCS is a viable tool for reducing rumination, particularly stress-induced rumination. However, we firmly believe that the results of null-finding studies, such as those from this study, are particularly valuable for future iterations and meta-researchon tDCS as a potential tool for targeting transdiagnostic processes, such as rumination. We also addressed methodological limitations and directions for future research in this area.

When eco-anger (but not eco-anxiety nor eco-sadness) makes you change! A temporal network approach to the emotional experience of climate change.

Research on the emotional experience of climate change has become a hot topic. Yet uncertainties remain regarding the interplay between climate change-related emotions (i.e., eco-anxiety, eco-anger, eco-sadness), general emotions (i.e., regardless of climate change), and pro-environmental behaviors. Most previous research has focused on cross-sectional studies, and eco-emotions in everyday life have seldom been considered. In this preregistered study, 102 participants from the general population rated their eco-emotions (i.e., eco-anxiety, eco-anger, eco-sadness), general emotions (i.e., anxiety, anger, sadness), and pro-environmental intentions and behaviors daily over a 60-day period. Using a multilevel vector autoregressive approach, we computed three network models representing temporal (i.e., from one time-point to the next), contemporaneous (i.e., during the same time-frame), and between-subject (i.e., similar to cross-sectional approach) associations between variables. Results show that eco-anger was the only predictor of pro-environmental intentions and behaviors over time. At the contemporaneous level, the momentary experience of each eco-emotion was associated with the momentary emotional experience of the corresponding general emotion, indicating the distinctiveness of each eco-emotion and the correspondence between its experience and that of its general, non-climate-related emotion. Overall, our findings 1) emphasize the driving role of eco-anger in prompting pro-environmental behaviors over time, 2) suggest a functional and experiential distinction between eco-emotions, and 3) provide data-driven clues for the field's larger quest to establish the scientific foundations of eco-emotions.

Is There an All-Embracing "Intolerance to Uncertainty" Construct? French Adaptation and Validation of the Intolerance to Uncertainty Scale-Revised.

Objective: Intolerance to uncertainty is a trait-like disposition largely studied in psychopathology and known to be involved in many psychological disorders. Yet, the very operationalization of this construct has prompted debate in the literature. Three different models have regularly been discussed: a correlated two-factor solution, a bifactorial solution, and a single-factor structure. A growing body of evidence suggests that the bifactorial model represents the adequate factorial solution; however, its validity has never been tested in a large French-speaking sample. Moreover, uncertainty remains regarding the associations between IUS-R and other psychological constructs, especially stress and depression. This project was designed to overcome these limitations. Method: To do so, we translated the scale into French and tested (n = 728) via confirmatory factor analyses (CFA) whether the French version would better fit with a bifactorial-, correlated, or single-factor structure, as implied by previous works. We also examined the internal reliability of the IUS-R, as well as its associations with concurrent measures of stress, depression, anxiety, and worry. Results: The results pointed to a bifactorial structure as the best-fitting model and provided evidence for a strong general intolerance of uncertainty factor that was more reliable and accounted for significantly more common variance than each subscale factor individually. Conclusions: We discuss how this bifactorial structure impacts the conceptualization of IU.

Parental burnout features and the family context: A temporal network approach in mothers.

Many parents have days where they encounter emotional exhaustion, emotional distance from their children, and feeling fed up with being a parent. Some parents experience these characteristics to a severe extent-a clinical phenomenon termed parental burnout. Parental burnout arises when parents chronically endure severe stress without sufficient resources to cope, which may lead to detrimental consequences not only for the parent but also for their partner (e.g., marital conflict) and children (i.e., neglect and violence). However, uncertainty remains regarding how these features interact and trigger one another over time (potentially becoming increasingly severe), nor how the daily variations of the family context influence these features. Therefore, in this study, we recruited 50 parents (with main analyses focusing on 43 mothers with a co-parent, and sensitivity analyses with the full sample) from the general population to rate the core features of parental burnout and the family context daily over 56 days. We used multilevel vector autoregressive models to generate network models. Results suggest that exhaustion contributes to parental burnout: It self-predicts and is closely associated with feeling fed up and finding children difficult to manage. Distance, by contrast, is mainly negatively connected to sharing positive moments with children. Contextual variables also interact with parental burnout features, illustrating the relevance of examining parenting within the family system context. If future research confirms a central role of exhaustion in parental burnout development, prevention efforts can focus on decreasing parental exhaustion. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Volume of subcortical brain regions in social anxiety disorder: mega-analytic results from 37 samples in the ENIGMA-Anxiety Working Group.

There is limited convergence in neuroimaging investigations into volumes of subcortical brain regions in social anxiety disorder (SAD). The inconsistent findings may arise from variations in methodological approaches across studies, including sample selection based on age and clinical characteristics. The ENIGMA-Anxiety Working Group initiated a global mega-analysis to determine whether differences in subcortical volumes can be detected in adults and adolescents with SAD relative to healthy controls. Volumetric data from 37 international samples with 1115 SAD patients and 2775 controls were obtained from ENIGMA-standardized protocols for image segmentation and quality assurance. Linear mixed-effects analyses were adjusted for comparisons across seven subcortical regions in each hemisphere using family-wise error (FWE)-correction. Mixed-effects d effect sizes were calculated. In the full sample, SAD patients showed smaller bilateral putamen volume than controls (left: d = -0.077, pFWE = 0.037; right: d = -0.104, pFWE = 0.001), and a significant interaction between SAD and age was found for the left putamen (r = -0.034, pFWE = 0.045). Smaller bilateral putamen volumes (left: d = -0.141, pFWE < 0.001; right: d = -0.158, pFWE < 0.001) and larger bilateral pallidum volumes (left: d = 0.129, pFWE = 0.006; right: d = 0.099, pFWE = 0.046) were detected in adult SAD patients relative to controls, but no volumetric differences were apparent in adolescent SAD patients relative to controls. Comorbid anxiety disorders and age of SAD onset were additional determinants of SAD-related volumetric differences in subcortical regions. To conclude, subtle volumetric alterations in subcortical regions in SAD were detected. Heterogeneity in age and clinical characteristics may partly explain inconsistencies in previous findings. The association between alterations in subcortical volumes and SAD illness progression deserves further investigation, especially from adolescence into adulthood.

Auditing the research practices and statistical analyses of the group-level temporal network approach to psychological constructs: A systematic scoping review.

Network analyses have become increasingly common within the field of psychology, and temporal network analyses in particular are quickly gaining traction, with many of the initial articles earning substantial interest. However, substantial heterogeneity exists within the study designs and methodology, rendering it difficult to form a comprehensive view of its application in psychology research. Since the field is quickly growing and since there have been many study-to-study variations in terms of choices made by researchers when collecting, processing, and analyzing data, we saw the need to audit this field and formulate a comprehensive view of current temporal network analyses. To systematically chart researchers' practices when conducting temporal network analyses, we reviewed articles conducting temporal network analyses on psychological variables (published until March 2021) in the framework of a scoping review. We identified 43 articles and present the detailed results of how researchers are currently conducting temporal network analyses. A commonality across results concerns the wide variety of data collection and analytical practices, along with a lack of consistency between articles about what is reported. We use these results, along with relevant literature from the fields of ecological momentary assessment and network analysis, to formulate recommendations on what type of data is suited for temporal network analyses as well as optimal methods to preprocess and analyze data. As the field is new, we also discuss key future steps to help usher the field's progress forward and offer a reporting checklist to help researchers navigate conducting and reporting temporal network analyses.

A network approach to climate change anxiety and its key related features.

Research has pointed to startling worldwide rates of people reporting considerable anxiety vis-à-vis climate change. Yet, uncertainties remain regarding how climate anxiety's cognitive-emotional features and daily life functional impairments interact with one another and with climate change experience, pro-environmental behaviors, and general worry. In this study, we apply network analyses to examine the associations among these variables in an international community sample (n = 874). We computed two network models, a graphical Gaussian model to explore network structure, potential communities, and influential nodes, and a directed acyclic graph to examine the probabilistic dependencies among the variables. Both network models pointed to the cognitive-emotional features of climate anxiety as a potential hub bridging general worry, the experience of climate change, pro-environmental behaviors, and the functional impairments associated with climate anxiety. Our findings offer data-driven clues for the field's larger quest to establish the foundations of climate anxiety.

An Experience Sampling Measure of the Key Features of Rumination.

Objective: Research indicates that rumination can be viewed as a dynamic process that fluctuates over time, within hours and days. An increasing number of intensive longitudinal studies on rumination are accordingly being conducted and published using experiencing sampling methodology (ESM), a technique with measurements in everyday life. Yet, this literature suffers from a profound caveat: rumination has so far been conceptualized and measured as a unitary construct in these ESM studies. This is unfortunate, since such a unitary view contrasts with prominent contemporary models that regard rumination as a multifaceted construct, wherein the key features are not interchangeable and should therefore be measured separately. Moreover, no validated ESM measure of the key features of rumination has yet been developed. Therefore, we developed and validated an ESM protocol and the first ESM questionnaire to assess rumination as a multifaceted construct, measuring five features of rumination. Method: We conducted an ESM study in a community sample of 40 French-speaking participants. They answered the five rumination ESM items in French four times a day for fourteen days. At the end of the ESM assessment period, participants completed trait-like questionnaires of rumination, depression, and general anxiety. Results: The ESM rumination items exhibited good psychometric properties, including excellent within-person variability and convergent validity with corresponding trait-like constructs. Conclusions: Although further validation is warranted, this novel ESM assessment protocol of rumination as a multifaceted construct (validated in French and translated into English) will allow future researchers to study how rumination's features fluctuate and interact with other constructs over time.

On climate anxiety and the threat it may pose to daily life functioning and adaptation: a study among European and African French-speaking participants.

The notion of climate anxiety has gained traction in the last years. Yet uncertainty remains regarding the variations of climate anxiety across demographic characteristics (e.g., gender, age) and its associations with adaptive (i.e., pro-environmental) behaviors. Moreover, the point-estimate proportion of people frequently experiencing climate anxiety has seldom been probed. In this study, we assessed climate anxiety (including its related functional impairments), along with demographic characteristics, climate change experience, and pro-environmental behaviors, in 2080 French-speaking participants from eight African and European countries. 11.64% of the participants reported experiencing climate anxiety frequently, and 20.72% reported experiencing daily life functional consequences (e.g., impact on the ability to go to work or socialize). Women and younger people exhibited significantly higher levels of climate anxiety. There was no difference between participants from African and European countries, although the sample size of the former was limited, thus precluding any definite conclusion regarding potential geographic differences. Concerning adaptation, climate anxiety was associated with pro-environmental behaviors. However, this association was significantly weaker in people reporting frequent experiences of climate anxiety (i.e., eco-paralysis) than in those with lower levels. Although this observation needs to be confirmed in longitudinal and experimental research, our results suggest that climate anxiety can impede daily life functioning and adaptation to climate change in many people, thus deserving a careful audit by the scientific community and practitioners. Supplementary Information: The online version contains supplementary material. Available at: 10.1007/s10584-022-03402-2.

The Role of Attentional Networks in Smoking Behavior Among Young Adults: Specific Contribution of Executive Control.

INTRODUCTION: The exploration of cognitive impairments associated with tobacco use disorder has expanded during the last decades, centrally showing working memory and executive deficits among smokers. Despite their critical role in everyday life and in the smoking cessation process, attentional abilities have seldom been explored. Previous studies yielded discordant results, and the involvement of attentional deficits in smoking habits remains unclear. AIMS AND METHODS: Capitalizing on the Attention Network Test, a theory-grounded task allowing the simultaneous but distinct evaluation of three attentional networks (alerting, orienting, executive control), we explored attentional abilities in three groups of 25 college students (nonsmokers, light smokers, heavy smokers), matched for demographic and psychopathological characteristics. RESULTS: While light smokers did not present any deficit compared with nonsmokers, heavy smokers showed a specific impairment of the executive control subcomponent of attention, contrasting with preserved alerting and orienting attentional abilities. The executive control deficit was not related to current craving or to smoking duration. CONCLUSIONS: Beyond the already explored memory and executive deficits, tobacco use disorder is associated with attentional impairments, characterized by a reduced ability to focus attentional resources on pertinent stimuli and resist to distractors interference. Given the assumed role of attentional impairments in smoking, our findings suggest that a critical step in future translational iterations is to develop neuropsychological rehabilitation programs tapping into the executive network of attention among smokers. IMPLICATIONS: This study clarifies the presence and extent of attentional impairments in tobacco use disorder. We measured three attention networks (alerting, orienting, executive control) in light smokers, heavy smokers and matched healthy controls through a theory-grounded task (Attention Network Test). Heavy smokers (but not light ones) present a specific deficit for the executive control of attention. This deficit, uncorrelated with psychopathological comorbidities or current craving, appears directly related to smoking. Given the currently scattered literature on this topic, attentional processes deserve a thorough audit in tobacco use disorder, notably to develop specific neurocognitive rehabilitation.

On the Measurement of Climate Change Anxiety: French Validation of the Climate Anxiety Scale.

The notion of climate change anxiety has gained traction in the last years. Clayton & Karazsia (2020) recently developed the 22-item Climate Change Anxiety Scale (CAS), which assesses climate change anxiety via a four-factor structure. Yet other research has cast doubts on the very structure of the CAS by calling either for a shorter (i.e. 13 items) two-factor structure or for a shorter single-factor structure (i.e. 13 items). So far, these three different models have not yet been compared in one study. Moreover, uncertainty remains regarding the associations between the CAS and other psychological constructs, especially anxiety and depression. This project was designed to overcome these limitations. In a first preregistered study (n = 305), we translated the scale into French and tested, via confirmatory factor analyses (CFA), whether the French version would better fit with a four-, two-, or single-factor structure, as implied by previous works. We also examined how the CAS factors related to depression, anxiety, and environmental identity. In a second preregistered study, we aimed at replicating our comparison between the three CFA models in a larger sample (n = 905). Both studies pointed to a 13-item version of the scale with a two-factor structure as the best fitting model, with one factor reflecting cognitive and emotional features of climate change anxiety and the other reflecting the related functional impairments. Each factor exhibited a positive association with depression and environmental identity but not with general anxiety. We discuss how this two-factor structure impacts the conceptualization of climate change anxiety.

What do measures of self-report interoception measure? Insights from a systematic review, latent factor analysis, and network approach.

Recent conceptualizations of interoception suggest several facets to this construct, including "interoceptive sensibility" and "self-report interoceptive scales", both of which are assessed with questionnaires. Although these conceptual efforts have helped move the field forward, uncertainty remains regarding whether current measures converge on their measurement of a common construct. To address this question, we first identified -via a systematic review- the most cited questionnaires of interoceptive sensibility. Then, we examined their correlations, their overall factorial structure, and their network structure in a large community sample (n = 1003). The results indicate that these questionnaires tap onto distinct constructs, with low overall convergence and interrelationships between questionnaire items. This observation mitigates the interpretation and replicability of findings in self-report interoception research. We call for a better match between constructs and measures.

Sleep problems as a transdiagnostic hub bridging impaired attention control, generalized anxiety, and depression.

BACKGROUND: Major Depression Disorder (MDD) and Generalized Anxiety Disorder (GAD) often co-occur, but uncertainty remains regarding the neurocognitive mechanisms linked to this co-occurrence. In this study, we applied network analytic methods to characterize the associations of the attention control (AC) components, as assessed using laboratory-based measurement tools, with MDD and GAD symptoms. Of critical interest was identifying whether AC components were primarily associated with symptoms unique or common to MDD and GAD. METHODS: We computed a regularized partial correlation network to examine the associations between attention control with symptoms specific to MDD, specific to GAD, and symptoms common to MDD and GAD (n = 371). RESULTS: Symptoms that are common to MDD and GAD emerged as highly influential nodes in the network. In particular, our findings pointed to sleep problems as a hub bridging attention control components to hallmark symptoms of MDD and GAD. LIMITATIONS: The present results should not be interpreted as definitive but instead as hypothesis-generating and highlighting the utility of rethinking the conceptualization of the associations between attention control, MDD, and GAD through the lens of sleep problems. Future studies would especially want to consider the temporal unfolding of the network structure. CONCLUSIONS: To our knowledge, this is the first study to identify sleep problems as a potential pathway bridging together components of attention control with symptoms of GAD and MDD.

Attentional networks in co-occurring generalized anxiety disorder and major depression disorder: Towards a staging approach to the executive control deficits.

INTRODUCTION: Major Depression Disorder (MDD) and Generalized Anxiety Disorder (GAD) often co-occur, but the neurocognitive mechanisms of this co-occurrence remain unknown. Prominent views have pointed to attentional processes as potent mechanisms at play in MDD and GAD, respectively. Yet uncertainty remains regarding the very nature of attentional impairments in patients with co-occurring MDD and GAD. METHODS: Inspired by contemporary models of attentional networks, we compared the three main attentional networks, namely the orienting, alerting, and executive networks of the Attention Network Task's model, in four groups of patients with, respectively, co-occurring DSM-5 MDD and GAD (n = 30), DSM-5 MDD only (n = 30), DSM-5 GAD only (n = 30), or free from any DSM-5 diagnosis (n = 30). To capture the multivariate nature of our data, we examined between-group differences in the attentional networks through a multivariate analysis of variance. RESULTS: Patients with co-occurring MDD and GAD exhibited more severe impairments in the executive control network than those with only one of the disorders. Although patients with MDD or GAD solely did not differ in terms of attentional impairments, both groups showed significantly more impairments in the executive control network than those free from any DSM-5 diagnosis (all Bonferonni-corrected post-hoc ps < 0.05). CONCLUSIONS: Our findings align with a longstanding staging approach to comorbidity whereby, via synergistic effects, co-occurring disorders produce more damages than the sum of each disorder. Here, for the first time, we extended this approach to the executive network of attention in the context of the co-occurrence between MDD and GAD.

Examining the impact of the COVID-19 pandemic through the lens of the network approach to psychopathology: Analysis of the Brazilian Longitudinal Study of Health (ELSA-Brasil) cohort over a 12-year timespan.

Cohort studies have displayed mixed findings on changes in mental symptoms severity in 2020, when the COVID-19 pandemic outbreak started. Network approaches can provide additional insights by analyzing the connectivity of such symptoms. We assessed the network structure of mental symptoms in the Brazilian Longitudinal Study of Health (ELSA-Brasil) in 3 waves: 2008-2010, 2017-2019, and 2020, and hypothesized that the 2020 network would present connectivity changes. We used the Clinical Interview Scheduled-Revised (CIS-R) questionnaire to evaluates the severity of 14 common mental symptoms. Networks were graphed using unregularized Gaussian models and compared using centrality and connectivity measures. The predictive power of centrality measures and individual symptoms were also estimated. Among 2011 participants (mean age: 62.1 years, 58% females), the pandemic symptom 2020 network displayed higher overall connectivity, especially among symptoms that were related to general worries, with increased local connectivity between general worries and worries about health, as well as between anxiety and phobia symptoms. There was no difference between 2008 and 2010 and 2017-2019 networks. According to the network theory of mental disorders, external factors could explain why the network structure became more densely connected in 2020 compared to previous observations. We speculate that the COVID-19 pandemic and its innumerous social, economical, and political consequences were prominent external factors driving such changes; although further assessments are warranted.

A network approach to the five-facet model of mindfulness.

Despite the large-scale dissemination of mindfulness-based interventions, debates persist about the very nature of mindfulness. To date, one of the dominant views is the five-facet approach, which suggests that mindfulness includes five facets (i.e., Observing, Describing, Nonjudging, Nonreactivity, and Acting with Awareness). However, uncertainty remains regarding the potential interplay between these facets. In this study, we investigated the five-facet model via network analysis in an unselected sample (n = 1704). We used two distinct computational network approaches: a Gaussian graphical model (i.e., undirected) and a directed acyclic graph, with each model determining the relations between the facets and their relative importance in the network. Both computational approaches pointed to the facet denoting Acting with Awareness as playing an especially potent role in the network system. Altogether, our findings offer novel data-driven clues for the field's larger quest to ascertain the very foundations of mindfulness.

Positive and negative urgency as a single coherent construct: Evidence from a large-scale network analysis in clinical and non-clinical samples.

AIMS: Negative and positive urgency are emotion-related impulsivity traits that are thought to be transdiagnostic factors in psychopathology. However, it has recently been claimed that these two traits are closely related to each other and that considering them separately might have limited conceptual and methodological value. The present study aimed to examine whether positive and negative urgency constructs constitute separate impulsivity traits. METHODS: In contrast to previous studies that have used latent variable approaches, this study employed an item-based network analysis conducted in two different samples: a large sample of non-clinical participants (N = 18,568) and a sample of clinical participants with psychiatric disorders (N = 385). RESULTS: The network analysis demonstrated that items denoting both positive and negative urgency cohere as a single cluster of items termed "general urgency" in both clinical and non-clinical samples, thereby suggesting that differentiating positive and negative urgency as separate constructs is not necessary. CONCLUSION: These findings have important implications for the conceptualization and assessment of urgency and, more broadly, for future research on impulsivity, personality, and psychopathology.

The impact of transcranial Direct Current stimulation on rumination: A systematic review of the sham-controlled studies in healthy and clinical samples.

INTRODUCTION: Broadly considered a transdiagnostic feature of psychological disorders, rumination is associated with lower treatment response, slower recovery rates, and higher relapse rates. Accordingly, research has focused on the development of interventions to alleviate rumination. Recently, transcranial Direct Current Stimulation (tDCS) has emerged as a promising tool to do so. METHODS: We performed a systematic review of sham-controlled tDCS studies targeting rumination among healthy participants or patients with psychiatric disorders, investigating the effectiveness of tDCS in reducing rumination, and assessing the research quality of this nascent field. RESULTS: We identified nine studies, with five reporting a significant impact of tDCS on rumination. We also outlined a few tDCS parameters (e.g., stimulation duration, electrode size) and research methods' features (e.g., within- versus between-research designs) characterizing those positive-finding studies. However, these studies were characterized by substantial heterogeneity (e.g., methodological flaws, lack of open science practices), precluding any definite statement about the best way to target rumination via tDCS. Moreover, several strong methodological limitations were also present across those studies. DISCUSSION: Although our systematic review identifies the strengths and weaknesses of the available research about the impact of tDCS on rumination, it calls for strong efforts to improve this nascent field's current methodological caveats. We discuss how open science practices can help to usher this field forward.

What is binge drinking? Insights from a network perspective.

This study aimed to delineate the specific characteristics of binge drinking habits by capitalizing on data-driven network analysis. Such an approach allowed us to consider binge drinking as a network system of interacting elements, thus identifying the key variables involved in this phenomenon. A total of 1,455 university students with excessive drinking habits were included in this study. We assessed the most critical features of binge drinking (i.e., the consumption of more than six alcohol units per occasion, drunkenness frequency, consumption speed), together with alcohol use and more general alcohol-related components of dysfunction and harm. All variables were considered in the network analysis. Centrality analysis identified drunkenness frequency as the most influential variable in the entire network. Community detection analysis showed three distinct subnetworks related to alcohol use, drunkenness, and dysfunction/harm components. Drunkenness frequency and blackout occurrence emerged as core bridge items in the binge drinking network. Drunkenness is recognized as the hallmark feature of binge drinking.