Altered cortical synaptic lipid signaling leads to intermediate phenotypes of mental disorders.

Excitation/inhibition (E/I) balance plays important roles in mental disorders. Bioactive phospholipids like lysophosphatidic acid (LPA) are synthesized by the enzyme autotaxin (ATX) at cortical synapses and modulate glutamatergic transmission, and eventually alter E/I balance of cortical networks. Here, we analyzed functional consequences of altered E/I balance in 25 human subjects induced by genetic disruption of the synaptic lipid signaling modifier PRG-1, which were compared to 25 age and sex matched control subjects. Furthermore, we tested therapeutic options targeting ATX in a related mouse line. Using EEG combined with TMS in an instructed fear paradigm, neuropsychological analysis and an fMRI based episodic memory task, we found intermediate phenotypes of mental disorders in human carriers of a loss-of-function single nucleotide polymorphism of PRG-1 (PRG-1R345T/WT). Prg-1R346T/WT animals phenocopied human carriers showing increased anxiety, a depressive phenotype and lower stress resilience. Network analysis revealed that coherence and phase-amplitude coupling were altered by PRG-1 deficiency in memory related circuits in humans and mice alike. Brain oscillation phenotypes were restored by inhibtion of ATX in Prg-1 deficient mice indicating an interventional potential for mental disorders.

Information theoretic evidence for layer- and frequency-specific changes in cortical information processing under anesthesia.

Nature relies on highly distributed computation for the processing of information in nervous systems across the entire animal kingdom. Such distributed computation can be more easily understood if decomposed into the three elementary components of information processing, i.e. storage, transfer and modification, and rigorous information theoretic measures for these components exist. However, the distributed computation is often also linked to neural dynamics exhibiting distinct rhythms. Thus, it would be beneficial to associate the above components of information processing with distinct rhythmic processes where possible. Here we focus on the storage of information in neural dynamics and introduce a novel spectrally-resolved measure of active information storage (AIS). Drawing on intracortical recordings of neural activity in ferrets under anesthesia before and after loss of consciousness (LOC) we show that anesthesia- related modulation of AIS is highly specific to different frequency bands and that these frequency-specific effects differ across cortical layers and brain regions. We found that in the high/low gamma band the effects of anesthesia result in AIS modulation only in the supergranular layers, while in the alpha/beta band the strongest decrease in AIS can be seen at infragranular layers. Finally, we show that the increase of spectral power at multiple frequencies, in particular at alpha and delta bands in frontal areas, that is often observed during LOC ('anteriorization') also impacts local information processing-but in a frequency specific way: Increases in isoflurane concentration induced a decrease in AIS in the alpha frequencies, while they increased AIS in the delta frequency range < 2Hz. Thus, the analysis of spectrally-resolved AIS provides valuable additional insights into changes in cortical information processing under anaesthesia.

Outpatient mental health care during high incidence phases of the COVID-19 pandemic in Germany - changes in utilization, challenges and post-COVID care.

BACKGROUND: As only a few studies have examined the impact of the COVID-19 pandemic on the mental health outpatient system so far, the aim of the COVID Ψ Outpatient Survey was to gain insight from outpatient providers in Germany regarding changes in utilization; associated problems and challenges; telemedicine services; interactions with inpatient and nursing home services; and experiences with post-COVID syndromes. METHODS: Between July and September 2021, we invited 351 randomly selected outpatient mental health specialists to take part in the online survey via e-mail. Additionally, we extended an invitation to professional associations to encourage their members to participate. N = 105 physicians of most regions of Germany took part in the survey. RESULTS: Survey participants reported changes in utilization during the high incidence phases (HIP) of the pandemic using pre-formulated categories: For the first HIP in spring 2020, 31% of the survey participants reported a decrease > 20% and 5% an increase > 20% of patient contacts. For the third HIP in spring 2021, 4% reported a decrease > 20% of contacts, while 30% an increase > 20%. Participants chose "patient's fears of infection" and "providers protection measures" as reasons for decreases, and "pandemic related anxieties", "economic stressors", and "capacity reductions of the inpatient system" as reasons for increases of patient contact. Many providers introduced telemedicine services. A majority reported consultations for post-COVID syndromes already in spring 2021. CONCLUSIONS: The survey hinted at changes in utilization, multiple problems but as well good-practice-solutions in the mental health outpatient system during the COVID-19 pandemic.

Reductions in inpatient and outpatient mental health care in germany during the first year of the COVID-19 pandemic - What can we learn for a better crisis preparedness?

BACKGROUND: During the COVID-19 pandemic, reports from several European mental health care systems hinted at important changes in utilization. So far, no study examined changes in utilization in the German mental health care inpatient and outpatient mental health care system comprehensively. METHODS: This longitudinal observational study used claims data from two major German statutory health insurances, AOK PLUS and BKK, covering 162,905 inpatients and 2,131,186 outpatients with mental disorders nationwide. We analyzed changes in inpatient and outpatient mental health service utilization over the course of the first two lockdown phases (LDPs) of the pandemic in 2020 compared to a pre-COVID-19 reference period dating from March 2019 to February 2020 using a time series forecast model. RESULTS: We observed significant decreases in the number of inpatient hospital admissions by 24-28% compared to the reference period. Day clinic admissions were even further reduced by 44-61%. Length of stay was significantly decreased for day clinic care but not for inpatient care. In the outpatient sector, the data showed a significant reduction in the number of incident outpatient diagnoses. CONCLUSION: Indirect evidence regarding the consequences of the reductions in both the inpatient and outpatient sector of care described in this study is ambiguous and direct evidence on treatment outcomes and quality of trans-sectoral mental healthcare is sparse. In line with WHO and OECD we propose a comprehensive mental health system surveillance to prepare for a better oversight and thereby a better resilience during future global major disruptions.

Bi-Gaussian analysis reveals distinct education-related alterations in spherical equivalent and axial length-results from the Gutenberg Health Study.

PURPOSE: The aim of this study is to investigate the distribution of spherical equivalent and axial length in the general population and to analyze the influence of education on spherical equivalent with a focus on ocular biometric parameters. METHODS: The Gutenberg Health Study is a population-based cohort study in Mainz, Germany. Participants underwent comprehensive ophthalmologic examinations as part of the 5-year follow-up examination in 2012-2017 including genotyping. The spherical equivalent and axial length distributions were modeled with gaussian mixture models. Regression analysis (on person-individual level) was performed to analyze associations between biometric parameters and educational factors. Mendelian randomization analysis explored the causal effect between spherical equivalent, axial length, and education. Additionally, effect mediation analysis examined the link between spherical equivalent and education. RESULTS: A total of 8532 study participants were included (median age: 57 years, 49% female). The distribution of spherical equivalent and axial length follows a bi-Gaussian function, partially explained by the length of education (i.e., < 11 years education vs. 11-20 years). Mendelian randomization indicated an effect of education on refractive error using a genetic risk score of education as an instrument variable (- 0.35 diopters per SD increase in the instrument, 95% CI, - 0.64-0.05, p = 0.02) and an effect of education on axial length (0.63 mm per SD increase in the instrument, 95% CI, 0.22-1.04, p = 0.003). Spherical equivalent, axial length and anterior chamber depth were associated with length of education in regression analyses. Mediation analysis revealed that the association between spherical equivalent and education is mainly driven (70%) by alteration in axial length. CONCLUSIONS: The distribution of axial length and spherical equivalent is represented by subgroups of the population (bi-Gaussian). This distribution can be partially explained by length of education. The impact of education on spherical equivalent is mainly driven by alteration in axial length.

Neuroticism is Associated With Greater Affective Variability at High Levels of Momentary Affective Well-Being, but With Lower Affective Variability at Low Levels of Momentary Affective Well-Being.

OBJECTIVE: Research challenged the notion that neuroticism correlates with affective variability, suggesting that it may result from statistical artifacts due to the non-normal distribution of negative affect. We aim to advance this line of research by (a) introducing affect balance as a normally distributed measure of affective well-being and (b) examining current affect balance as a moderator of the relationship between neuroticism and affect balance variability. METHOD: We meta-analyzed the results of 14 ambulatory assessment datasets (N = 2389 participants, N = 174,423 observations). RESULTS: We found that while the associations between the mean and affective variability were large for negative affect, they were much smaller for affect balance. Moreover, the association between neuroticism and variability in negative affect was very small, yet medium-sized for affect balance. Importantly, the latter association depended on current affect levels: Participants high relative to low in neuroticism showed stronger subsequent fluctuations in affect balance when currently feeling better than usual, but weaker subsequent fluctuations in (and thus more persistent) affect balance when currently feeling worse than usual. CONCLUSION: Increased variability should not be seen as a bad sign but may be a sign that an affective system is changing, which may be adaptive or maladaptive for an individual, depending on the initial state of the system.

Autoantibodies against the chemokine receptor 3 predict cardiovascular risk.

BACKGROUND AND AIMS: Chronic inflammation and autoimmunity contribute to cardiovascular (CV) disease. Recently, autoantibodies (aAbs) against the CXC-motif-chemokine receptor 3 (CXCR3), a G protein-coupled receptor with a key role in atherosclerosis, have been identified. The role of anti-CXCR3 aAbs for CV risk and disease is unclear. METHODS: Anti-CXCR3 aAbs were quantified by a commercially available enzyme-linked immunosorbent assay in 5000 participants (availability: 97.1%) of the population-based Gutenberg Health Study with extensive clinical phenotyping. Regression analyses were carried out to identify determinants of anti-CXCR3 aAbs and relevance for clinical outcome (i.e. all-cause mortality, cardiac death, heart failure, and major adverse cardiac events comprising incident coronary artery disease, myocardial infarction, and cardiac death). Last, immunization with CXCR3 and passive transfer of aAbs were performed in ApoE(-/-) mice for preclinical validation. RESULTS: The analysis sample included 4195 individuals (48% female, mean age 55.5 ± 11 years) after exclusion of individuals with autoimmune disease, immunomodulatory medication, acute infection, and history of cancer. Independent of age, sex, renal function, and traditional CV risk factors, increasing concentrations of anti-CXCR3 aAbs translated into higher intima-media thickness, left ventricular mass, and N-terminal pro-B-type natriuretic peptide. Adjusted for age and sex, anti-CXCR3 aAbs above the 75th percentile predicted all-cause death [hazard ratio (HR) (95% confidence interval) 1.25 (1.02, 1.52), P = .029], driven by excess cardiac mortality [HR 2.51 (1.21, 5.22), P = .014]. A trend towards a higher risk for major adverse cardiac events [HR 1.42 (1.0, 2.0), P = .05] along with increased risk of incident heart failure [HR per standard deviation increase of anti-CXCR3 aAbs: 1.26 (1.02, 1.56), P = .03] may contribute to this observation. Targeted proteomics revealed a molecular signature of anti-CXCR3 aAbs reflecting immune cell activation and cytokine-cytokine receptor interactions associated with an ongoing T helper cell 1 response. Finally, ApoE(-/-) mice immunized against CXCR3 displayed increased anti-CXCR3 aAbs and exhibited a higher burden of atherosclerosis compared to non-immunized controls, correlating with concentrations of anti-CXCR3 aAbs in the passive transfer model. CONCLUSIONS: In individuals free of autoimmune disease, anti-CXCR3 aAbs were abundant, related to CV end-organ damage, and predicted all-cause death as well as cardiac morbidity and mortality in conjunction with the acceleration of experimental atherosclerosis.

[Genetic diagnostics of mental health disorders in adulthood]. / Genetische Diagnostik bei psychischen Erkrankungen im Erwachsenenalter.

This review article provides insights into the role of genetic diagnostics in adult mental health disorders. The importance of genetic factors in the development of mental illnesses, from rare genetic syndromes to common complex genetic disorders, is described. Current clinical characteristics that may warrant a genetic diagnostic work-up are highlighted, including intellectual disability, autism spectrum disorders and severe psychiatric conditions with specific comorbidities, such as organ malformations or epilepsy. The review discusses when genetic diagnostics are recommended according to current guidelines as well as situations where they might be considered even in the absence of explicit guideline recommendations. This is followed by an overview of the procedures and the currently used diagnostic methods. Current limitations and possible developments in the field of genetic diagnostics in psychiatry are discussed, including the fact that, for many mental health conditions, genetic testing is not yet part of standard clinical practice; however, in summary genetic causes should be considered more frequently in certain clinical constellations, and genetic diagnostics and counselling should be offered where appropriate.

Coping with COVID: risk and resilience factors for mental health in a German representative panel study.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic might affect mental health. Data from population-representative panel surveys with multiple waves including pre-COVID data investigating risk and protective factors are still rare. METHODS: In a stratified random sample of the German household population (n = 6684), we conducted survey-weighted multiple linear regressions to determine the association of various psychological risk and protective factors assessed between 2015 and 2020 with changes in psychological distress [(PD; measured via Patient Health Questionnaire for Depression and Anxiety (PHQ-4)] from pre-pandemic (average of 2016 and 2019) to peri-pandemic (both 2020 and 2021) time points. Control analyses on PD change between two pre-pandemic time points (2016 and 2019) were conducted. Regularized regressions were computed to inform on which factors were statistically most influential in the multicollinear setting. RESULTS: PHQ-4 scores in 2020 (M = 2.45) and 2021 (M = 2.21) were elevated compared to 2019 (M = 1.79). Several risk factors (catastrophizing, neuroticism, and asking for instrumental support) and protective factors (perceived stress recovery, positive reappraisal, and optimism) were identified for the peri-pandemic outcomes. Control analyses revealed that in pre-pandemic times, neuroticism and optimism were predominantly related to PD changes. Regularized regression mostly confirmed the results and highlighted perceived stress recovery as most consistent influential protective factor across peri-pandemic outcomes. CONCLUSIONS: We identified several psychological risk and protective factors related to PD outcomes during the COVID-19 pandemic. A comparison of pre-pandemic data stresses the relevance of longitudinal assessments to potentially reconcile contradictory findings. Implications and suggestions for targeted prevention and intervention programs during highly stressful times such as pandemics are discussed.

Resilience as a predictor of habituation.

Habituation refers to the physiological adaptation to recurrent stressors, which can be measured by cortisol levels, and is considered a central mechanism in reducing allostatic load. Resilience, a potential factor influencing stress reduction, is the focus of this study. Specifically, the study aims to investigate the impact of resilience, as assessed by the Brief Resilience Scale (BRS), on habituation. The Trier Social Stress Test (TSST) was used as the recurrent stressor, and it was administered to each of the 56 subjects at 4 consecutive measurements. To assess habituation, various physiological parameters including the area under the curve with respect to the ground (AUCg) and with respect to the increase (AUCi), cortisol peak, slope from baseline to peak, and recovery were calculated. Mixed linear models were employed to examine the differences in the influence of resilience on habituation across the different time points. The findings indicate that the influence of resilience significantly varies from the first to the fourth measurement time point for AUCg (p = .048), while no significant differences were observed for the other cortisol parameters. The effects plot suggests that individuals with higher levels of resilience exhibit lower AUCg values throughout the measurements. These findings provide initial evidence supporting resilience as a predictor of cortisol habituation. However, future studies should also consider dynamic resilience models, utilizing longitudinally assessed resilience as a predictor for habituation, to explore whether resilience acts as a determinant of habituation or if habituation itself constitutes a resilience mechanism.

Individual slow wave events give rise to macroscopic fMRI signatures and drive the strength of the BOLD signal in human resting-state EEG-fMRI recordings.

The slow wave state is a general state of quiescence interrupted by sudden bursts of activity or so-called slow wave events (SWEs). Recently, the relationship between SWEs and blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) signals was assessed in rodent models which revealed cortex-wide BOLD activation. However, it remains unclear which macroscopic signature corresponds to these specific neurophysiological events in the human brain. Therefore, we analyzed simultaneous electroencephalographic (EEG)-fMRI data during human non-REM sleep. SWEs individually detected in the EEG data were used as predictors in event-related fMRI analyses to examine the relationship between SWEs and fMRI signals. For all 10 subjects we identified significant changes in BOLD activity associated with SWEs covering substantial parts of the gray matter. As demonstrated in rodents, we observed a direct relation of a neurophysiological event to specific BOLD activation patterns. We found a correlation between the number of SWEs and the spatial extent of these BOLD activation patterns and discovered that the amplitude of the BOLD response strongly depends on the SWE amplitude. As altered SWE propagation has recently been found in neuropsychiatric diseases, it is critical to reveal the brain's physiological slow wave state networks to potentially establish early imaging biomarkers for various diseases long before disease onset.

The Aging Enteric Nervous System.

The gut and the brain communicate via the nervous system, hormones, microbiota-mediated substances, and the immune system. These intricate interactions have led to the term "gut-brain axis". Unlike the brain-which is somewhat protected-the gut is exposed to a variety of factors throughout life and, consequently, might be either more vulnerable or better adapted to respond to these challenges. Alterations in gut function are common in the elder population and associated with many human pathologies, including neurodegenerative diseases. Different studies suggest that changes in the nervous system of the gut, the enteric nervous system (ENS), during aging may result in gastrointestinal dysfunction and initiate human pathologies of the brain via its interconnection with the gut. This review aims at summarizing the contribution of normal cellular aging to the age-associated physiological changes of the ENS. Morphological alterations and degeneration of the aging ENS are observed in different animal models and humans, albeit with considerable variability. The aging phenotypes and pathophysiological mechanisms of the aging ENS have highlighted the involvement of enteric neurons in age-related diseases of the central nervous system such as Alzheimer's or Parkinson's disease. To further elucidate such mechanisms, the ENS constitutes a promising source of material for diagnosis and therapeutic predictions, as it is more accessible than the brain.

[Quality of Life and Experienced Distress of Patients Suspected of having a Rare (Chronic) Health Condition - Initial Findings from the ZSE-DUO Study]. / Lebensqualität und erlebte Belastungen von Patient*innen mit Verdacht auf eine Seltene Erkrankung ­ erste Erkenntnisse aus der ZSE-DUO Studie.

OBJECTIVE: Patients suspected of having a rare (chronic) health condition have often gone a long way within the healthcare system. To date, little is known about the health-related quality of life of this group of patients. The study aims to describe the health-related quality of life and the perceived distress of patients suspected of having a rare (chronic) health condition and compare the results with standard values of the German population. METHODS: Eighty patients suspected of having a rare (chronic) health condition were recruited in the nationwide intervention study "ZSE-DUO" and reported their health-related quality of life and perceived distress using the SF-8 and the Distress-Thermometer. RESULTS: The patients rated all eight dimensions of quality of life as well as the physical and mental component scores of the SF-8 significantly lower than the general population. On average, the perceived distress was rated significantly higher. More than 90% of the sample indicated distress in the clinical range. Exhaustion, pain, limited mobility as well as worries and fears were mentioned most frequently as concrete problems, with percentages ranging from 73% to 90% of the total sample. DISCUSSION: In comparison to German reference data, patients suspected of having a rare (chronic) health condition report a massive impairment of their quality of life and a high burden, which is especially characterized by physical and emotional problems. The lack of a diagnosis could explain the high proportion of emotional problems, as it can create a form of legitimation of one's own disease experience. CONCLUSION: The present results underline the need for research on the psychosocial impact of the possible presence of a rare (chronic) health condition. The high distress and the impact on the physical and psychological quality of life domains also highlight the need for care in this patient group.

[COVID-19 vaccination for people with severe mental diseases : Results of the COVID Ψ outpatient survey and recommendations for psychiatry]. / COVID-19-Impfung für Menschen mit schweren psychischen Erkrankungen : Ergebnisse des COVID-Ψ-Ambulant-Surveys und Empfehlungen für die Psychiatrie.

BACKGROUND: Severe mental illnesses are risk factors for SARS-CoV-2-related morbidity and mortality. Vaccination is an effective protection; therefore, high vaccination rates should be a major priority for people with mental illnesses. OBJECTIVES: (1) Identification of at-risk groups for non-vaccination and structures and interventions needed for widespread vaccination among people with mental illnesses from the perspective of outpatient psychiatrists and neurologists, (2) discussion of the results in the context of the international literature and (3) recommendations derived from them. MATERIAL AND METHODS: Qualitative content analysis of COVID-19 vaccination-related questions from the COVID Ψ online survey of n = 85 psychiatrists and neurologists in Germany. RESULTS: In the survey, people with schizophrenia, severe lack of drive, low socioeconomic status and homelessness were seen as risk groups for non-vaccination. Increased and targeted information, education, addressing and motivation and easily accessible vaccination offers by general practitioners, psychiatrists, and neurologists as well as complementary institutions were considered as important interventions. DISCUSSION: COVID-19 vaccinations as well as information, motivation and access support should be systematically offered by as many institutions of the psychiatric, psychotherapeutic and complementary care systems in Germany as possible.

Surprise: Unexpected Action Execution and Unexpected Inhibition Recruit the Same Fronto-Basal-Ganglia Network.

Unexpected and thus surprising events are omnipresent and oftentimes require adaptive behavior such as unexpected inhibition or unexpected action. The current theory of unexpected events suggests that such unexpected events just like global stopping recruit a fronto-basal-ganglia network. A global suppressive effect impacting ongoing motor responses and cognition is specifically attributed to the subthalamic nucleus (STN). Previous studies either used separate tasks or presented unexpected, task-unrelated stimuli during response inhibition tasks to relate the neural signature of unexpected events to that of stopping. Here, we aimed to test these predictions using a within task design with identical stimulus material for both unexpected action and unexpected inhibition using functional magnetic resonance imaging (fMRI) for the first time. To this end, 32 healthy human participants of both sexes performed a cue-informed go/nogo task comprising expected and unexpected action and inhibition trials during fMRI. Using conjunction, contrast, and Bayesian analyses, we demonstrate that unexpected action elicited by an unexpected go signal and unexpected inhibition elicited by an unexpected nogo signal recruited the same fronto-basal-ganglia network which is usually assigned to stopping. Furthermore, the stronger the unexpected action-related activity in the STN region was the more detrimental was the effect on response times. The present results thus complement earlier findings and provide direct evidence for the unified theory of unexpected events while ruling out alternative task and novelty effects.SIGNIFICANCE STATEMENT This is the first study using functional magnetic resonance imaging (fMRI) to test whether unexpected events regardless of whether they require unexpected action or inhibition recruit a fronto-basal-ganglia network just like stopping. In contrast to previous studies, we used identical stimulus material for both conditions within one task. This enabled us to directly test predictions of the current theory of unexpected events and, moreover, to test for condition-specific neural signatures. The present results underpin that both processes recruit the same neural network while excluding alternative task and novelty effects. The simple task design thus provides an avenue to studying surprise as a pure form of reactive inhibition in neuropsychiatric patients displaying inhibitory deficits who often have a limited testing capacity.

ADHD symptom profiles, intermittent explosive disorder, adverse childhood experiences, and internalizing/externalizing problems in young offenders.

Attention-deficit/hyperactivity disorder (ADHD) and co-existing psychiatric/psychological impairments as well as adverse childhood experiences (ACEs) are common among young offenders. Research on their associations is of major importance for early intervention and crime prevention. Intermittent explosive disorder (IED) warrants specific consideration in this regard. To gain sophisticated insights into the occurrence and associations of ADHD, IED, ACEs, and further psychiatric/psychological impairments in young (male and female) offenders, we used latent profile analysis (LPA) to empirically derive subtypes among 156 young offenders who were at an early stage of crime development based on their self-reported ADHD symptoms, and combined those with the presence of IED. We found four distinct ADHD subtypes that differed rather quantitatively than qualitatively (very low, low, moderate, and severe symptomatology). Additional IED, ACEs, and further internalizing and externalizing problems were found most frequently in the severe ADHD subtype. Furthermore, females were over-represented in the severe ADHD subtype. Finally, ACEs predicted high ADHD symptomatology with co-existing IED, but not without IED. Because ACEs were positively associated with the occurrence of ADHD/IED and ADHD is one important risk factor for on-going criminal behaviors, our findings highlight the need for early identification of ACEs and ADHD/IED in young offenders to identify those adolescents who are at increased risk for long-lasting criminal careers. Furthermore, they contribute to the debate about how to best conceptualize ADHD regarding further emotional and behavioral disturbances.

[Willingness to get vaccinated among hospital staff in Germany: What is the role of COVID-19 conspiracy assumptions?] / Impfbereitschaft von Krankenhauspersonal in Deutschland: Welche Rolle spielen Verschwörungsannahmen zu COVID-19?

BACKGROUND: A critical factor in achieving widespread immunity against COVID-19 is the willingness of previously unvaccinated individuals to get vaccinated. Medical staff play a key role in this, as they ensure healthcare during the pandemic and for many serve as a source of information about vaccinations. Among the factors that negatively influence the general willingness to get vaccinated are conspiracy assumptions and the spread of misinformation. OBJECTIVE: The willingness of hospital staff in Germany to get vaccinated and various influencing variables were examined to obtain indicators that could help increase the general willingness to get vaccinated. METHODS: Between January and June 2021, a voluntary and anonymous online survey conducted as part of the egePan joint project of the national network for university medicine (funded by the Federal Ministry of Education and Research) was used to assess the willingness to be vaccinated, individual social characteristics, the belief in conspiracy assumptions, and communication items in German hospitals. RESULTS: In comparison with the general population, physicians and scientific staff in particular indicated an increased willingness to get vaccinated. Conspiracy assumptions were not very widespread but most frequent among administrative and nursing staff. Conspiracy assumptions were negatively associated with the willingness to get vaccinated. Predictors for a higher willingness to get vaccinated were the perceived safety and effectiveness of vaccinations and a higher age. DISCUSSION: Since the perceived safety and effectiveness of vaccinations have a positive effect on the willingness to get vaccinated, educational work and transparent information transfer could counteract the spread of conspiracy assumptions and increase vaccination rates among hospital staff.

Measuring spectrally-resolved information transfer.

Information transfer, measured by transfer entropy, is a key component of distributed computation. It is therefore important to understand the pattern of information transfer in order to unravel the distributed computational algorithms of a system. Since in many natural systems distributed computation is thought to rely on rhythmic processes a frequency resolved measure of information transfer is highly desirable. Here, we present a novel algorithm, and its efficient implementation, to identify separately frequencies sending and receiving information in a network. Our approach relies on the invertible maximum overlap discrete wavelet transform (MODWT) for the creation of surrogate data in the computation of transfer entropy and entirely avoids filtering of the original signals. The approach thereby avoids well-known problems due to phase shifts or the ineffectiveness of filtering in the information theoretic setting. We also show that measuring frequency-resolved information transfer is a partial information decomposition problem that cannot be fully resolved to date and discuss the implications of this issue. Last, we evaluate the performance of our algorithm on simulated data and apply it to human magnetoencephalography (MEG) recordings and to local field potential recordings in the ferret. In human MEG we demonstrate top-down information flow in temporal cortex from very high frequencies (above 100Hz) to both similarly high frequencies and to frequencies around 20Hz, i.e. a complex spectral configuration of cortical information transmission that has not been described before. In the ferret we show that the prefrontal cortex sends information at low frequencies (4-8 Hz) to early visual cortex (V1), while V1 receives the information at high frequencies (> 125 Hz).

Mental burden and its risk and protective factors during the early phase of the SARS-CoV-2 pandemic: systematic review and meta-analyses.

BACKGROUND: Mental burden due to the SARS-CoV-2 pandemic has been widely reported for the general public and specific risk groups like healthcare workers and different patient populations. We aimed to assess its impact on mental health during the early phase by comparing pandemic with prepandemic data and to identify potential risk and protective factors. METHODS: For this systematic review and meta-analyses, we systematically searched PubMed, PsycINFO, and Web of Science from January 1, 2019 to May 29, 2020, and screened reference lists of included studies. In addition, we searched PubMed and PsycINFO for prepandemic comparative data. Survey studies assessing mental burden by the SARS-CoV-2 pandemic in the general population, healthcare workers, or any patients (eg, COVID-19 patients), with a broad range of eligible mental health outcomes, and matching studies evaluating prepandemic comparative data in the same population (if available) were included. We used multilevel meta-analyses for main, subgroup, and sensitivity analyses, focusing on (perceived) stress, symptoms of anxiety and depression, and sleep-related symptoms as primary outcomes. RESULTS: Of 2429 records retrieved, 104 were included in the review (n = 208,261 participants), 43 in the meta-analysis (n = 71,613 participants). While symptoms of anxiety (standardized mean difference [SMD] 0.40; 95% CI 0.15-0.65) and depression (SMD 0.67; 95% CI 0.07-1.27) were increased in the general population during the early phase of the pandemic compared with prepandemic conditions, mental burden was not increased in patients as well as healthcare workers, irrespective of COVID-19 patient contact. Specific outcome measures (eg, Patient Health Questionnaire) and older comparative data (published ≥5 years ago) were associated with increased mental burden. Across the three population groups, existing mental disorders, female sex, and concerns about getting infected were repeatedly reported as risk factors, while older age, a good economic situation, and education were protective. CONCLUSIONS: This meta-analysis paints a more differentiated picture of the mental health consequences in pandemic situations than previous reviews. High-quality, representative surveys, high granular longitudinal studies, and more research on protective factors are required to better understand the psychological impacts of the SARS-CoV-2 pandemic and to help design effective preventive measures and interventions that are tailored to the needs of specific population groups.

The association between adverse childhood experiences and mental health problems in young offenders.

High rates of adverse childhood experiences (ACEs, e.g., abuse and neglect) have been found in young offenders. Furthermore, ACEs seem to increase the risk of developing relevant mental health problems, in non-offending juveniles and adults. However, this association has only seldomly been addressed in offending juveniles and young adults. The present study aimed at evaluating the prevalence of ACEs and mental health problems as well as their association within a sample of male and female young offenders. Altogether, 161 adolescent and young adult offenders (16.8% females) from the youth detention center Worms (Germany) filled out questionnaires concerning ACEs and mental health problems with a focus on attention-deficit/hyperactivity disorder and intermittent explosive disorder. Considerable rates of mental health problems were found, e.g., a prevalence of 35.9% was found for intermittent explosive disorder. Furthermore, a greater proportion of the female offenders fell into the clinically significant category for somatic complaints, anxiety/depression, and attention problems than the male offenders. Female young offenders also reported more frequently about all forms of ACEs compared to the male offenders. Latent class analysis defined three subtypes of young offenders depending on their individual ACE patterns: (1) low ACEs, (2) mainly neglectful ACEs, and (3) multiple ACEs. ACEs were significantly associated with the occurrence of both internalizing and externalizing mental health disturbances, with the multiple-ACE subtype being most likely to report about significant mental health problems. The results of the present study point towards the relevance to routinely assess ACEs in young offenders to identify possible precursors of mental health problems and of future criminal behaviors.