Introduction. Weather-related disasters, such as wildfires exacerbated by a rise in global temperatures, need to be better studied in terms of their mental health impacts. This study focuses on the mental health sequelae of the deadliest wildfire in California to date, the Camp Fire of 2018. Methods. We investigated a sample of 725 California residents with different degrees of disaster exposure and measured mental health using clinically validated scales for post-traumatic stress disorder (PTSD), major depressive disorder (MDD) and generalized anxiety disorder (GAD). Data were collected at a chronic time-point, six months post-wildfire. We used multiple regression analyses to predict the mental health outcomes based on self-reported fire exposure. Additionally, we included vulnerability and resilience factors in hierarchical regression analyses. Results. Our primary finding is that direct exposure to large scale fires significantly increased the risk for mental health disorders, particularly for PTSD and depression. Additionally, the inclusion of vulnerability and resilience factors in the hierarchical regression analyses led to the significantly improved prediction of all mental health outcomes. Childhood trauma and sleep disturbances exacerbated mental health symptoms. Notably, self-reported resilience had a positive effect on mental health, and mindfulness was associated with significantly lower depression and anxiety symptoms. Conclusion. Overall, our study demonstrated that climate-related extreme events, such as wildfires, can have severe mental illness sequelae. Moreover, we found that pre-existing stressful life events, resilient personality traits and lifestyle factors can play an important role in the prevalence of psychopathology after such disasters. Unchecked climate change projected for the latter half of this century may severely impact the mental wellbeing of the global population, and we must find ways to foster individual resiliency.

The COVID-19 pandemic and associated lockdowns have posed unique and severe challenges to our global society. To gain an integrative understanding of pervasive social and mental health impacts in 3522 Berlin residents aged 18 to 65, we systematically investigated the structural and temporal relationship between a variety of psychological indicators of vulnerability, resilience and social cohesion before, during and after the first lockdown in Germany using a retrospective longitudinal study design. Factor analyses revealed that (a) vulnerability and resilience indicators converged on one general bipolar factor, (b) residual variance of resilience indicators formed a distinct factor of adaptive coping capacities and (c) social cohesion could be reliably measured with a hierarchical model including four first-order dimensions of trust, a sense of belonging, social interactions and social engagement, and one second-order social cohesion factor. In the second step, latent change score models revealed that overall psychological vulnerability increased during the first lockdown and decreased again during re-opening, although not to baseline levels. Levels of social cohesion, in contrast, first decreased and then increased again during re-opening. Furthermore, participants who increased in vulnerability simultaneously decreased in social cohesion and adaptive coping during lockdown. While higher pre-lockdown levels of social cohesion predicted a stronger lockdown effect on mental health, individuals with higher social cohesion during the lockdown and positive change in coping abilities and social cohesion during re-opening showed better mental health recovery, highlighting the important role of social capacities in both amplifying but also overcoming the multiple challenges of this collective crisis.

A fundamental set of cognitive abilities enable humans to efficiently process goal-relevant information, suppress irrelevant distractions, maintain information in working memory, and act flexibly in different behavioral contexts. Yet, studies of human cognition and their underlying neural mechanisms usually evaluate these cognitive constructs in silos, instead of comprehensively in-tandem within the same individual. Here, we developed a scalable, mobile platform, "BrainE" (short for Brain Engagement), to rapidly assay several essential aspects of cognition simultaneous with wireless electroencephalography (EEG) recordings. Using BrainE, we rapidly assessed five aspects of cognition including (1) selective attention, (2) response inhibition, (3) working memory, (4) flanker interference and (5) emotion interference processing, in 102 healthy young adults. We evaluated stimulus encoding in all tasks using the EEG neural recordings, and isolated the cortical sources of the spectrotemporal EEG dynamics. Additionally, we used BrainE in a two-visit study in 24 young adults to investigate the reliability of the neuro-cognitive data as well as its plasticity to transcranial magnetic stimulation (TMS). We found that stimulus encoding on multiple cognitive tasks could be rapidly assessed, identifying common as well as distinct task processes in both sensory and cognitive control brain regions. Event related synchronization (ERS) in the theta (3-7 Hz) and alpha (8-12 Hz) frequencies as well as event related desynchronization (ERD) in the beta frequencies (13-30 Hz) were distinctly observed in each task. The observed ERS/ERD effects were overall anticorrelated. The two-visit study confirmed high test-retest reliability for both cognitive and neural data, and neural responses showed specific TMS protocol driven modulation. We also show that the global cognitive neural responses are sensitive to mental health symptom self-reports. This first study with the BrainE platform showcases its utility in studying neuro-cognitive dynamics in a rapid and scalable fashion.

Background: Contemplative trainings have been found to effectively improve social skills such as empathy and compassion. However, there is a lack of research on the efficacy of app-delivered mindfulness-based and dyadic practices in boosting socioaffective capacity. Objective: The first aim of this study was to compare a novel app-delivered, partner-based socioemotional intervention (Affect Dyad) with mindfulness-based training to foster empathy and compassion for the self or others. The second aim of this study was to investigate the underlying mechanisms of these effects. Methods: This randomized controlled trial included socioemotional and mindfulness-based interventions and a waitlist control group, which received socioemotional training after the postintervention assessment. We used linear mixed-effects models to test intervention effects on self-report measures and an ecologically valid computer task of empathy, compassion for the self and others, and theory of mind. Moderated mediation models were used to investigate whether changes in acceptance, empathic distress, empathic listening, interoceptive awareness, and mindfulness served as underlying psychological processes of intervention effects. Results: In 218 participants (mean age 44.12, SD 11.71 years; 160/218, 73.4% female), we found all interventions to have positive effects on composite scores for compassion toward the self (βsocioemotional=.44, P<.001; βwaitlist socioemotional=.30, P=.002; βmindfulness-based=.35, P<.001) and others (βsocioemotional=.24, P=.003; βwaitlist socioemotional=.35, P<.001; βmindfulness-based=.29, P<.001). Compassion measured with the computer task did not change significantly but showed a trend toward increase only in socioemotional dyadic practice (βsocioemotional=.08, P=.08; βwaitlist socioemotional=.11, P=.06). Similarly, on the empathic concern subscale of the Interpersonal Reactivity Index, a nonsignificant trend toward increase was found in the socioemotional intervention group (βsocioemotional=.17; P=.08). Empathy significantly increased in both socioemotional groups (βsocioemotional=.16, P=.03; βwaitlist socioemotional=.35, P<.001) and the mindfulness-based group (βmindfulness-based=.15; P=.04). The measures of theory of mind did not change over time. In the mindfulness-based group, the increase in self-compassion was mediated by a decrease in empathic distress (indirect effect abmindfulness-based=0.07, 95% CI 0.02-0.14). In the socioemotional group, an increase in self-compassion could be predicted by an increase in acceptance (βsocioemotional=6.63, 95% CI 0.52-12.38). Conclusions: Using a multimethod approach, this study shows that app-delivered socioemotional and mindfulness-based trainings are effective in fostering compassion for the self and others in self-report. Both low-dose trainings could boost behavioral empathy markers; however, the effects on behavioral and dispositional markers of compassion only trended after dyadic practice, yet these effects did not reach statistical significance. Training-related increases in self-compassion rely on differential psychological processes, that is, on improved empathic distress regulation through mindfulness-based training and the activation of a human care– and acceptance-based system through socioemotional dyadic training. Trial Registration: ClinicalTrials.gov NCT04889508; https://clinicaltrials.gov/ct2/show/NCT04889508

The current study explores the relationship between three constructs of high relevance in the context of adversities which have, however, not yet been systematically linked on the level of psychological dispositions: psychological vulnerability, psychological resilience, and social cohesion. Based on previous theoretical and empirical frameworks, a collection of trait questionnaires was assessed in a Berlin sample of 3,522 subjects between 18 and 65 years of age. Using a confirmatory factor analytical approach, we found no support for a simple three-factor structure. Results from exploratory structural analyses suggest that instead of psychological resilience and psychological vulnerability constituting two separate factors, respective indicators load on one bipolar latent factor. Interestingly, some psychological resilience indicators contributed to an additional specific latent factor, which may be interpreted as adaptive capacities, that is, abilities to adapt to changes or adjust to consequences of adversities. Furthermore, instead of evidence for one single social cohesion factor on the psychological level, indicators of perceived social support and loneliness formed another specific factor of social belonging, while indicators of prosocial competencies were found to form yet another distinct factor, which was positively associated to the other social factors, adaptive capacities and social belonging. Our results suggest that social cohesion is composed of different independent psychological components, such as trust, social belonging, and social skills. Furthermore, our findings highlight the importance of social capacities and belonging for psychological resilience and suggest that decreasing loneliness and increasing social skills should therefore represent a valuable intervention strategy to foster adaptive capacities.

Loneliness has become a pressing topic, especially among young adults and during the COVID-19 pandemic. In a randomized controlled trial with 253 healthy adults, we evaluated the differential efficacy of two 10-week app-delivered mental training programs: one based on classic mindfulness and one on an innovative partner-based socio-emotional practice (Affect Dyad). We show that the partner-based training resulted in greater reductions in loneliness than the mindfulness-based training. This effect was shown on three measures of loneliness: general loneliness assessed with the 20-item UCLA Loneliness Scale, state loneliness queried over an 8-day ecological momentary assessment in participants’ daily lives, and loneliness ratings required before and after daily practice. Our study provides evidence for the higher efficacy of a mental training approach based on a 12 min practice conducted with a partner in reducing loneliness and provides a novel, scalable online approach to reduce the increasing problem of loneliness in society.