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A crucial ability of the human brain is to learn and exploit probabilistic associations between stimuli to facilitate perception and behavior by predicting future events. While studies have shown how perceptual relationships are used to predict sensory inputs, relational knowledge is often between concepts rather than percepts (e.g., we learned to associate cats with dogs, rather than specific images of cats and dogs). Here we asked if and how sensory responses to visual input may be modulated by predictions derived from conceptual associations. To this end we exposed participants of both sexes to arbitrary word-word pairs (e.g., car – dog) repeatedly, creating an expectation of the second word, conditional on the occurrence of the first. In a subsequent session, we exposed participants to novel word-picture pairs, while measuring fMRI BOLD responses. All word-picture pairs were equally likely, but half of the pairs conformed to the previously formed conceptual (word-word) associations, whereas the other half violated this association. Results showed suppressed sensory responses throughout the ventral visual stream, including early visual cortex, to pictures that corresponded to the previously expected words compared to unexpected words. This suggests that the learned conceptual associations were used to generate sensory predictions that modulated processing of the picture stimuli. Moreover, these modulations were tuning-specific, selectively suppressing neural populations tuned towards the expected input. Combined, our results suggest that recently acquired conceptual priors are generalized across domains and used by the sensory brain to generate category specific predictions, facilitating processing of expected visual input.SIGNIFICANCE STATEMENT:Perceptual predictions play a crucial role in facilitating perception and the integration of sensory information. However, little is known about whether and how the brain uses more abstract, conceptual priors to form sensory predictions. In our pre-registered study, we show that priors derived from recently acquired arbitrary conceptual associations result in category specific predictions that modulate perceptual processing throughout the ventral visual hierarchy, including early visual cortex. These results suggest that the predictive brain uses prior knowledge across various domains to modulate perception, thereby extending our understanding of the extensive role predictions play in perception.

Humans have been learning at a distance for millennia. Modern information and communications technology has enabled formal distance education to be conducted online, though significant variation exists in purpose, course format, delivery methods, etc. Under duress of COVID-19, educators and students alike have been forced to engage in their courses remotely. These courses, however, are not equivalent to formal distance education and to date have broadly been referred to as Emergency Remote Teaching (ERT). Nevertheless, ERT courses are no longer unexpected and have become plannable; many are being sustained indefinitely due to the prolonged nature of the pandemic. Despite this paradox, current ERT literature typically conceptualizes the ongoing practice monolithically. This conceptual paper discusses key differences between formal distance education, emergency remote teaching, and the evolving practice of Sustained Remote Teaching (SRT). We suggest a descriptive contextual model as a research analytic for discussion in the field of distance education.

Age and gender differences in narcissism have been studied often. However, considering the rich history of narcissism research accompanied by its diverging conceptualizations, little is known about age and gender differences across various narcissism measures. The present study investigated age and gender differences and their interactions across eight widely used narcissism instruments (i.e., Narcissistic Personality Inventory, Hypersensitive Narcissism Scale, Dirty Dozen, Psychological Entitlement Scale, Narcissistic Personality Disorder Symptoms from the , Version IV, Narcissistic Admiration and Rivalry Questionnaire-Short Form, Single-Item Narcissism Scale, and brief version of the Pathological Narcissism Inventory). The findings of Study 1 (N = 5,736) revealed heterogeneity in how strongly the measures are correlated. Some instruments loaded clearly on one of the three factors proposed by previous research (i.e., Neuroticism, Extraversion, Antagonism), while others cross-loaded across factors and in distinct ways. Cross-sectional analyses using each measure and meta-analytic results across all measures (Study 2) with a total sample of 270,029 participants suggest consistent linear age effects (random effects meta-analytic effect of r = -.104), with narcissism being highest in young adulthood. Consistent gender differences also emerged (random effects meta-analytic effect was -.079), such that men scored higher in narcissism than women. Quadratic age effects and Age × Gender effects were generally very small and inconsistent. We conclude that despite the various conceptualizations of narcissism, age and gender differences are generalizable across the eight measures used in the present study. However, their size varied based on the instrument used. We discuss the sources of this heterogeneity and the potential mechanisms for age and gender differences.

Both spatial and temporal context play an important role in visual perception and behavior. Humans can extract statistical regularities from both forms of context to help processing the present and to construct expectations about the future. Numerous studies have found reduced neural responses to expected stimuli compared to unexpected stimuli, for both spatial and temporal regularities. However, it is largely unclear whether and how these forms of context interact. In the current fMRI study, thirty-three human volunteers were exposed to object stimuli that could be expected or surprising in terms of their spatial and temporal context. We found a reliable independent contribution of both spatial and temporal context in modulating the neural response. Specifically, neural responses to stimuli in expected compared to unexpected contexts were suppressed throughout the ventral visual stream. Interestingly, the modulation by spatial context was stronger in magnitude and more reliable than modulations by temporal context. These results suggest that while both spatial and temporal context serve as a prior that can modulate sensory processing in a similar fashion, predictions of spatial context may be a more powerful modulator in the visual system.Significance StatementBoth temporal and spatial context can affect visual perception, however it is largely unclear if and how these different forms of context interact in modulating sensory processing. When manipulating both temporal and spatial context expectations, we found that they jointly affected sensory processing, evident as a suppression of neural responses for expected compared to unexpected stimuli. Interestingly, the modulation by spatial context was stronger than that by temporal context. Together, our results suggest that spatial context may be a stronger modulator of neural responses than temporal context within the visual system. Thereby, the present study provides new evidence how different types of predictions jointly modulate perceptual processing.

Social interactions are crucial to affective well-being. Still, people vary interindividually and intraindividually in their social needs. Social need regulation theories state that mismatches between momentary social desire and actual social contact result in lowered affect, yet empirical knowledge about this dynamic regulation is limited. 306 participants in a sample stratified by age and gender (51% women, M_age = 39.41, range 18-80 years) answered up to 20 questionnaires about social interactions and affect while mobile sensing tracked their conversations, calls, and app usage over two days. Combining preregistered and exploratory analyses, we investigated how momentary affect relates to social dynamics, focusing on two states of mismatch between social desire and social contact: social deprivation (i.e., being alone but desiring social contact) and social oversatiation (i.e., being in contact but desiring to be alone). We used specification curve analyses to scrutinize the operationalization of these constructs. Social oversatiation was associated with decreased positive affect (PA) and increased negative affect (NA). Social deprivation, however, was unrelated to affect. Exploratory multilevel models showed that a higher desire to be alone was consistently associated with decreased affect, whereas a higher desire for social contact was related to increased affect. Mobile sensing data revealed that having more conversations was related to higher PA even when controlling for momentary social desire. Using communication apps more frequently when alone was related to higher NA. We discuss implications for social need regulation, related studies on voluntary solitude, and the advantages of combining experience sampling and mobile sensing assessments.

Paradoxical embolism is one of the predominant causes of cryptogenic stroke and interventional secondary prevention, i.e., closure of the patent foramen ovale (PFO), is a much discussed issue. This review aims to provide a complex perspective on this topic, aggregates and comments on the available data and current guidelines. Several large trials were performed, some of which proved the superiority of PFO closure over pharmacotherapy while others have not. Studies detecting significant superiority of intervention worked with disproportionately high representation of large shunts compared to the general population. Other controversies also remain, such as the lack of comparison of the effect of modern anticoagulant/antiplatelet treatment to PFO closure or the risk of developing unwanted side effects after intervention, and these are discussed in detail. PFO closure is a suitable method for secondary prevention of paradoxical embolism and, therefore, cryptogenic stroke. However, this is only true for carefully selected patient populations and such selection is of the utmost importance in deciding on interventional or conservative treatment.

Introduction Empirical evidence on Ronald Inglehart's theory of value change shows that subsequent generations show a decline in values of physical and economic security (materialism) in favor of an increase in values of self-expression and autonomy (postmaterialism). Methods We investigate in a pre-registered study whether Inglehart's theory also applies to partnership, such that millennials think less that they need a partner to be happy. We used data from the German Socio-Economic Panel (SOEP) study on 4540 17-year-olds from 16 birth cohorts. Results Results show that adolescents’ estimated importance of a romantic partner for personal happiness decreases on average with each subsequent birth cohort. Further significant predictors were socialization and relationship status of the parents, birth year of the father, as well as education and sex of the adolescent. Socioeconomic status and education level of the parents and birth year of the mother were not significant. Conclusions Findings provide initial evidence that as society becomes more individualized, even personal happiness is increasingly seen as independent of significant others. Ronald Inglehart's theory of value change, however, seems to have only limited applicability as an explanatory model for this development.

Resilience describes successful adaptation in the face of adversity, commonly inferred from trajectories of well-being following major life events. Alternatively, resilience was conceptualised as a psychological trait, facilitating adaptation through stable individual characteristics. Both perspectives may relate to individual differences in how stress is regulated in daily life. In the present study, we combined these perspectives on resilience. Our sample consisted of N = 132 middle-aged adults, who experienced major life events in between two waves of a longitudinal study. We implemented latent change regression models to predict change in affective distress. As predictors, we investigated trait resilience and correlates of resilience in daily life (stressor occurrence, stress reactivity, positive reappraisal, mindful attention, and acceptance), measured using experience sampling (T = 70 occasions). Unexpectedly, trait resilience was not associated with change in distress. In contrast, resilience correlates in daily life, most notably lower stress reactivity, were associated with more favourable change. Higher trait resilience related to higher average mindfulness, higher reappraisal, and lower negative affect. Overall, while trait resilience translated into everyday correlates of resilience, it was not predictive of changes in affective distress. Instead, precursors of changes in well-being may be found in correlates of resilience in daily life.

The brain has the extraordinary capacity to construct predictive models of the environment by internalizing statistical regularities in the sensory inputs. The resulting sensory expectations shape how we perceive and react to the world; at the neural level, this relates to decreased neural responses to expected than unexpected stimuli (‘expectation suppression’). Crucially, expectations may need revision as context changes. However, existing research has often neglected this issue. Further, it is unclear whether contextual revisions apply selectively to expectations relevant to the task at hand, hence serving adaptive behaviour. The present fMRI study examined how contextual visual expectations spread throughout the cortical hierarchy as participants update their beliefs. We created a volatile environment with two state spaces presented over separate contexts and controlled by an independent contextualizing signal. Participants attended a training session before scanning to learn contextual temporal associations among pairs of object images. The fMRI experiment then tested for the emergence of contextual expectation suppression in two separate tasks, respectively with task-relevant and task-irrelevant expectations. Behavioural and neural effects of contextual expectation emerged progressively across the cortical hierarchy as participants attuned themselves to the context: expectation suppression appeared first in the insula, inferior frontal gyrus and posterior parietal cortex, followed by the ventral visual stream, up to early visual cortex. This applied selectively to task-relevant expectations. Taken together, the present results suggest that an insular and frontoparietal executive control network may guide the flexible deployment of contextual sensory expectations for adaptive behaviour in our complex and dynamic world.Significance statementThe world is structured by statistical regularities, which we use to predict the future. This is often accompanied by suppressed neural responses to expected compared with unexpected events (‘expectation suppression’). Crucially, the world is also highly volatile and context-dependent: expected events may become unexpected when the context changes, thus raising the crucial need for belief updating. However, this issue has generally been neglected. By setting up a volatile environment, we show that expectation suppression emerges first in executive control regions, followed by relevant sensory areas, only when observers use their expectations to optimise behaviour. This provides surprising yet clear evidence on how the brain controls the updating of sensory expectations for adaptive behaviour in our ever-changing world.

Contains fulltext : 285196.pdf (Publisher’s version ) (Open Access) Expectations, derived from previous experience, can help in making perception faster, more reliable and informative. A key neural signature of perceptual expectations is expectation suppression, an attenuated neural response to expected compared with unexpected stimuli. While expectation suppression has been reported using a variety of paradigms and recording methods, it remains unclear what neural modulation underlies this response attenuation. Sharpening models propose that neural populations tuned away from an expected stimulus are particularly suppressed by expectations, thereby resulting in an attenuated, but sharper population response. In contrast, dampening models suggest that neural populations tuned toward the expected stimulus are most suppressed, thus resulting in a dampened, less redundant population response. Empirical support is divided, with some studies favoring sharpening, while others support dampening. A key limitation of previous neuroimaging studies is the ability to draw inferences about neural-level modulations based on population (e.g. voxel) level signals. Indeed, recent simulations of repetition suppression showed that opposite neural modulations can lead to comparable population-level modulations. Forward models provide one solution to this inference limitation. Here, we used forward models to implement sharpening and dampening models, mapping neural modulations to voxel-level data. We show that a feature-specific gain modulation, suppressing neurons tuned toward the expected stimulus, best explains the empirical fMRI data. Thus, our results support the dampening account of expectation suppression, suggesting that expectations reduce redundancy in sensory cortex, and thereby promote updating of internal models on the basis of surprising information. 14 p.

Objective Intracranial space occupying lesions (ICSOLs) like tumors and abscesses can be life-threatening conditions. It can be especially difficult to diagnose these conditions in toddlers. We aimed to describe symptoms and signs present in a sample of toddlers with ICSOLs. Methods We performed a retrospective chart review of 15 toddlers with intracranial tumors, abscesses, or infected cysts. We collected data on the presence of various signs and symptoms on presentation to the emergency department. Results Eight toddlers (53%) presented with vomiting. A change in behavior was the second most common symptom (6, 40%). Seven children (47%) had motor weakness, and 5 (33%) had ataxia. Eleven of the 12 children with tumors (92%) had documented abnormal neurologic signs on initial physical examination. Conclusions Vomiting, a change in behavior, and an abnormal neurologic examination were common signs and symptoms in our sample of toddlers with ICSOLs. An accurate history and appropriate neurologic examination can help physicians make this challenging diagnosis in this age group.

C-FOG is a comprehensive bi-national project dealing with the formation, persistence, and dissipation (life cycle) of fog in coastal areas (coastal fog) controlled by land, marine, and atmospheric processes. Given its inherent complexity, coastal-fog literature has mainly focused on case studies, and there is a continuing need for research that integrates across processes (e.g., air–sea–land interactions, environmental flow, aerosol transport, and chemistry), dynamics (two-phase flow and turbulence), microphysics (nucleation, droplet characterization), and thermodynamics (heat transfer and phase changes) through field observations and modeling. Central to C-FOG was a field campaign in eastern Canada from 1 September to 8 October 2018, covering four land sites in Newfoundland and Nova Scotia and an adjacent coastal strip transected by the Research Vessel Hugh R. Sharp. An array of in situ, path-integrating, and remote sensing instruments gathered data across a swath of space–time scales relevant to fog life cycle. Satellite and reanalysis products, routine meteorological observations, numerical weather prediction model (WRF and COAMPS) outputs, large-eddy simulations, and phenomenological modeling underpin the interpretation of field observations in a multiscale and multiplatform framework that helps identify and remedy numerical model deficiencies. An overview of the C-FOG field campaign and some preliminary analysis/findings are presented in this paper.

Over the past few years large-eddy simulation (LES) has demonstrated success in modelling continental radiation fog, and several recent studies have used LES to investigate the sensitivity of fog formation to physical processes such as turbulent mixing and surface heat and moisture exchange, as well as to the parametrization of microphysical processes such as cloud droplet activation. Here we extend these sensitivity studies to marine fog. There are several important differences in the formation of marine and continental fog, however moisture availability is no longer a decisive factor, and surface temperature changes over a much longer time scale. Here LES is used to examine the sensitivity of simulated marine-fog formation and maintenance to the cloud-droplet number concentration, turbulent mixing, and air–sea temperature difference. The strength of the fog (in terms of liquid water content) is found to be highly sensitive to all three factors. Varying only the cloud-droplet number concentration, even within a range of physically realistic values for marine regions, can mean the difference between fog halving or doubling in liquid water content. The sensitivities demonstrated herein indicate the great need and challenge for constraining these parameters in numerical weather prediction. Similarities and differences to the findings for continental radiation fog are examined, and important considerations for future improvements in marine-fog forecasting are discussed.

A large-eddy simulation model is coupled with a Lagrangian cloud model to study marine fog. In this model, aerosols and droplets are treated from a Lagrangian frame of reference, in contrast to the traditional bulk and bin microphysical models. Droplet growth via condensation is governed by Kohler theory and environmental conditions local to the droplet. Coupling to the vapour and temperature fields of the flow ensures mass, momentum, and energy conservation between the air and droplet phases. Based on the recent C-FOG field campaign, a simulation is performed which highlights the benefits and potential of this type of model. By initializing the simulation with the measured aerosol size distribution and making assumptions about the chemical composition of the multiple peaks, the simulations provide a clear explanation for the observed bimodal droplet distribution during C-FOG: high supersaturation levels cause condensational growth of nearly all coarse-mode aerosols (presumed to be composed of marine salt), as well as a large number of accumulation model aerosols (presumed to be of continental origin with a lower hygroscopicity). The largest peak in the resulting droplet distribution is created from coarse-mode aerosols with high hygroscopicity, while the secondary peak is only possible due to the limited impact of the largest peak on saturation levels inside the fog. Thus, for the simulated levels of supersaturation, it is the limited number of coarse-mode aerosols which is responsible for the emergence of a larger second peak.

Overcommitted individuals cannot withdraw from work obligations. We examine whether work goal engagement attenuates the negative effects of overcommitment on work and health outcomes. For overcommitted professionals it should matter whether they dedicate time and energy to work goals they feel bound to or to goals they do not feel attached to (unengaged overcommitment). In a longitudinal study of 752 employees, we examined the interaction between overcommitment (T1) and work goal engagement (T2) in contributing to job and sleep satisfaction (T1 and T3). Results indicated that higher overcommitment and lower work goal engagement were associated with lower job and sleep satisfaction at T3, controlling for T1 job and sleep satisfaction. Overcommitment was only related to lower job satisfaction when work goal engagement was low. No interactive effect was found for sleep satisfaction. These findings support the essential role of goal engagement for well-being and adaptive development in the work domain.