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Conspiracy theories and fake news are receiving wide media coverage and their proliferation has motivated academic research on the driving factors irrational cognition and behavior. This dissertation focuses on individuals' beliefs about knowledge and knowing, which are commonly referred to as epistemic beliefs. The term post-truth epistemic beliefs is proposed and defined as a strong trust in one’s intuition, a low need to align opinions with evidence, and the strong conviction that truth is a matter of power. Across six online studies, a mediation model is proposed and tested. It includes the core of all dark traits, the Dark Factor of Personality (D), as an antecedent of post-truth epistemic beliefs, and irrational cognition and behavior as consequences. Manuscript #1 comprises four studies showing that post-truth epistemic beliefs are rooted in D and predict increased endorsement of COVID-19 conspiracy theories as well as less engagement in health-protective behavior against COVID-19. Manuscript #2 includes a US nationally representative study suggesting that post-truth epistemic beliefs and D predict a lower probability of having been vaccinated against COVID-19. Manuscript #3 presents a repeated measures experiment indicating that the nexus of D and post-truth epistemic beliefs also predicts less discernment between fake and accurate news. These findings highlight a major insight and a serious challenge for rational communication: Some individuals deliberately disregard (scientific) evidence and rational decision-making. Against this background, the need to foster the epistemological development of students and educators is emphasized.
Although the concept of wealth is a topic that ancient philosophers have dealt with, relatively little attention is paid to it in psychology. This work sheds light on cognitive processes on how individuals derive a judgment about whether someone is rich and whether certain cues serve as subjective indicators of wealth. Based on three chapters that describe K = 11 observational and experimental studies (N = 2,315), three research questions shall be answered: First, to what extent do individuals differ when defining wealth? Secondly, are there universal cues of wealth that individuals use to identify rich people? And if yes, in what sense do these cues depend on the situation or context? Furthermore, it will be asked whether there are situational boundaries under which those cues do not apply. The present research shows that individuals differ in defining wealth and that they take their personal life circumstances and situational cues into account to define wealth. Moreover, evidence for a coherent wealth cue model was found that describes cues that are used by individuals to identify the rich (i.e., particularly wealthy people), whereby the validity of these cues depends on several contextual (e.g., cultural) factors. Lastly, it was found that by isolating individual wealth cues and looking at core mental representations of these cues, they may not be perceived as indicative for rich people anymore. The conclusions reported here set a foundation for further research on the perceptions of wealth which may be particularly relevant for the political discourse
Humans spontaneously blink several times a minute. These blinks are strongly modulated during various cognitive task. However, the precise function of blinking and the reason for their modulation has not been fully understood. In the present work, I investigated the function of spontaneous blinks through various perceptual and cognitive tasks. Previous research has revealed that blinks rates decrease during some tasks but increase during others. When trying to understand these seemingly contradictory results, I observed that blink reduction occurs when one engages with an external input. For instance, a decrease has been observed due to the onset of a stimulus, sensory input processing and attention towards sensory input. However, for activities that do not involve such an engagement, e.g. imagination, daydreaming or creativity, the blink rate has been shown to increase. To follow up on the proposed hypothesis, I distinguished tasks that involve the processing of an external stimulus and tasks that involve disengagement.
In the first part of the project, I explored blinking during stimulus engagement. If the probability of blinking is low when engaging with the stimulus, then one should find a reduction in blinks specifically during the time period of processing but not during sensory input per se. To this end, in study 1, I tested the influence of task-relevant information duration on blink timing and additionally manipulated the overall sensory input using a visual and an auditory temporal simultaneity judgement task. The results showed that blinks were suppressed longer for longer periods of relevant information or in other words, blinks occurred at the end of relevant information processing for both the visual and the auditory modality. Since relevance is mediated through top-down processes, I argue that the reduction in blinks is a top-down driven suppression. In studies 2 and 3, I again investigated stimulus processing, but in this case, processing was triggered internally and not based on specific changes in the external input. To this end, I used bistable stimuli, in which the actual physical stimulus remains constant but their perception switches between different interpretations. Studies on the involvement of attention in such bistable perceptual changes indicate that the sensory input is reprocessed before the perceptual switch. The results revealed a reduction in eye blink rates before the report of perceptual switches. Importantly, I was able to decipher that the decrease was not caused by the perceptual switch or the behavioral response but likely started before the internal switch. Additionally, periods between a blink and a switch were longer than interblink intervals, indicating that blinks were followed by a period of stable percept. To conclude, the first part of the project revealed that there is a top-down driven blink suppression during the processing of an external stimulus.
In the second part of the project, I extended the idea of blinks marking the disengagement from external processing and tested if blinking is associated with better performance during internally directed processes. Specifically, I investigated divergent thinking, an aspect of creativity, and the link between performance and blink rates as well as the effect of motor restriction. While I could show that motor restriction was the main factor influencing divergent thinking, the relationship between eye blink rates and creative output also depended on restriction. Results showed that higher blink rates were associated with better performance during free movement, but only between subjects. In other words, subjects who had overall higher blink rates scored better in the task, but when they were allowed to sit or walk freely. Within a single subject, trial with higher blink rates were not associated with better performance. Therefore, possibly, people who are able to disengage easily, as indicated by an overall high blink rate, perform better in divergent thinking tasks. However, the link between blink rate and internal tasks is not clear at this point. Indeed, a more complex measurement of blink behavior might be necessary to understand the relationship.
In the final part of the project, I aimed to further understand the function of blinks through their neural correlates. I extracted the blink-related neural activity in the primary visual cortex (V1) of existing recordings of three rhesus monkeys during different sensory processing states. I analyzed spike related multi-unit responses, frequency dependent power changes, local field potentials and laminar distribution of activity while the animal watched a movie compared to when it was shown a blank screen. The results showed a difference in blink-related neural activity dependent on the processing state. This difference suggests a state dependent function of blinks.
Taken altogether, the work presented in this thesis suggests that eye blinks have an important function during cognitive and perceptual processes. Blinks seem to facilitate a disengagement from the external world and are therefore suppressed during intended processing of external stimuli.
Previous EEG research only investigated one stage ultimatum games (UGs). We investigated the influence of a second bargaining stage in an UG concerning behavioral responses, electro-cortical correlates and their moderations by the traits altruism, anger, anxiety, and greed in 92 participants. We found that an additional stage led to more rejection in the 2-stage UG (2SUG) and that increasing offers in the second stage compared to the first stage led to more acceptance. The FRN during a trial was linked to expectance evaluation concerning the fairness of the offers, while midfrontal theta was a marker for the needed cognitive control to overcome the respective default behavioral pattern. The FRN responses to unfair offers were more negative for either low or high altruism in the UG, while high trait anxiety led to more negative FRN responses in the first stage of 2SUG, indicating higher sensitivity to unfairness. Accordingly, the mean FRN response, representing the trait-like general electrocortical reactivity to unfairness, predicted rejection in the first stage of 2SUG. Additionally, we found that high trait anger led to more rejections for unfair offer in 2SUG in general, while trait altruism led to more rejection of unimproving unfair offers in the second stage of 2SUG. In contrast, trait anxiety led to more acceptance in the second stage of 2SUG, while trait greed even led to more acceptance if the offer was worse than in the stage before. These findings suggest, that 2SUG creates a trait activation situation compared to the UG.
Objective
Alzheimer’s disease (AD) is a growing challenge worldwide, which is why the search for early-onset predictors must be focused as soon as possible. Longitudinal studies that investigate courses of neuropsychological and other variables screen for such predictors correlated to mild cognitive impairment (MCI). However, one often neglected issue in analyses of such studies is measurement invariance (MI), which is often assumed but not tested for. This study uses the absence of MI (non-MI) and latent factor scores instead of composite variables to assess properties of cognitive domains, compensation mechanisms, and their predictability to establish a method for a more comprehensive understanding of pathological cognitive decline.
Methods
An exploratory factor analysis (EFA) and a set of increasingly restricted confirmatory factor analyses (CFAs) were conducted to find latent factors, compared them with the composite approach, and to test for longitudinal (partial-)MI in a neuropsychiatric test battery, consisting of 14 test variables. A total of 330 elderly (mean age: 73.78 ± 1.52 years at baseline) were analyzed two times (3 years apart).
Results
EFA revealed a four-factor model representing declarative memory, attention, working memory, and visual–spatial processing. Based on CFA, an accurate model was estimated across both measurement timepoints. Partial non-MI was found for parameters such as loadings, test- and latent factor intercepts as well as latent factor variances. The latent factor approach was preferable to the composite approach.
Conclusion
The overall assessment of non-MI latent factors may pose a possible target for this field of research. Hence, the non-MI of variances indicated variables that are especially suited for the prediction of pathological cognitive decline, while non-MI of intercepts indicated general aging-related decline. As a result, the sole assessment of MI may help distinguish pathological from normative aging processes and additionally may reveal compensatory neuropsychological mechanisms.
Hintergrund: An der Universität Würzburg wurde bereits im Wintersemester 2018/19 eine 90-minütige Lehrveranstaltung zur Nikotinentwöhnung als Präsenz- oder E-Learning-Seminar im 6. Semester implementiert. In 2020 wurden weitere Bausteine ergänzt: eine Kurzinfo zur Raucherberatung im 9. Semester und die Beratung realer Patienten im 10. Semester im Blockpraktikum-Allgemeinmedizin (BPA).
Fragestellung: Wie wirkt sich der Besuch des Seminars langfristig auf das Beratungs-Wissen aus? Ist eine Nikotinentwöhnungsberatung im Rahmen des BPA machbar? Erhöht sich dadurch die subjektive Sicherheit der Studierenden?
Methoden: Im Sommersemester 2020 wurden Studierende des 9. Semesters, die regulär das Seminar zur Raucherberatung im Wintersemester 2018/19 besucht haben sollten, online bzgl. Wissen zur Nikotinentwöhnungsberatung befragt. Es folgten vertonte PowerPoint-Folien zur Raucherberatung (Kurzinfo).
Im Wintersemester 2020/21 im BPA sollten die Studierenden ein Nikotinentwöhnungsgespräch mit einem Patienten in der Lehrpraxis durchführen und ihre Erfahrungen und subjektive Sicherheit mittels Online-Befragung retrospektiv evaluieren.
Ergebnisse: In der Befragung des 9. Semesters (n=54, Rücklauf: 35%) schätzten Teilnehmende der Ursprungskohorte (n=35 von ursprünglich 130) im Vergleich zu Nicht-Teilnehmenden (n=19) ihr Wissen deutlich höher ein (p=0,016). Dabei spielte die zuvor besuchte Lehrform keine Rolle (p=0,963).
Im BPA führten 50% (n=57) der 114 Befragten (Rücklauf: 74%) eine Nikotinberatung mit einem Patienten durch, dabei stieg die Sicherheit, ein solches Gespräch zu führen, signifikant (p<0,001). Beratende Studierende beurteilten den Zugewinn an Fertigkeiten durch das BPA höher (p<0,001) und hielten es für wichtiger, Patienten zu ihrem Rauchverhalten zu beraten (p=0,048).
Diskussion: Unabhängig von der Lehrform scheint sich ein Seminar zur Raucherberatung langfristig positiv auf das Wissen auszuwirken. Für 50% war eine Nikotinentwöhnungsberatung im BPA machbar. Als Hinderungsgründe wurden fehlende Gelegenheiten und ungeeignete Patienten angegeben. Die Beratung eines Patienten in einer realen Situation erhöht die Beratungssicherheit.
Im Zuge des technischen Fortschritts ist das hochautomatisierte Fahren nach SAE Level 3 (SAE, 2018) in
den vergangenen Jahren in greifbare Nähe gerückt. Es ist damit zu rechnen, dass Fahrzeuge in naher Zukunft zumindest bei Vorliegen einer Reihe strikter Rahmenbedingungen den Fahrer phasenweise von der Fahraufgabe entbinden können. Letzterer muss die Fahrzeugautomation während dieser Phasen nicht überwa
chen und kann sich anderen Tätigkeiten zuwenden. An Systemgrenzen oder bei Systemfehlern (Gold,
Naujoks, Radlmayr, Bellem & Jarosch, 2017) stellt er jedoch die Rückfallebene dar und muss die Fahrzeugkontrolle innerhalb eines angemessenen Zeitraumes übernehmen, sobald ihn das Fahrzeug dazu auffordert. Diese Rückübertragung der Fahraufgabe an den Fahrer stellt ein kritisches Nadelöhr für die Sicherheit und Akzeptanz automatisierter Fahrsysteme dar. Aus psychologischer Perspektive handelt es sich hierbei um Aufgabenwechsel. Diese gehen in Experimenten der kognitiven und angewandten Psychologie zuverlässig mit Kosten einher, welche sich in verlängerten Reaktionszeiten und erhöhten Fehlerraten bei der Aufgabenbearbeitung niederschlagen. Insbesondere im Bereich des automatisierten Fahrens liegen zahlreiche Belege vor, dass der Wechsel zwischen automatisiertem und manuellem Fahren zu einer Verschlechterung der Fahrleistungen gegenüber dem manuellen Fahren führen kann.
Die vorliegende Arbeit beschäftigt sich mit diesen Übergängen und fokussiert dabei die Tätigkeiten, denen Fahrer während der hochautomatisierten Fahrabschnitte nachgehen können. Vier Experimente im Fahrsimulator betrachten die Auswirkungen unterschiedlicher Aspekte fahrfremder Tätigkeiten (FFT) in Übernahmesituationen sowie deren Zusammenwirken mit unterschiedlichen Übernahmeaufforderungen.
Im ersten Experiment wird zunächst der Frage nachgegangen, inwiefern sich die Vielzahl denkbarer und zu erwartender FFT durch übergeordnete und damit systematisch untersuchbare Merkmale auszeichnet und
welche dies gegebenenfalls sind. Im zweiten Experiment werden anschließend die relevantesten Merkmale,
Unterbrechungsaufwand und Anreiz zur Weiterbearbeitung der Aufgabe daraufhin untersucht, welchen Ein-
fluss sie auf Fahrerleistungen in Übernahmesituationen ausüben. Im dritten Experiment wird der Frage nachgegangen, welches Potenzial solche Übernahmeaufforderungen besitzen, deren Dringlichkeit adaptiv
ist hinsichtlich des jeweiligen Aufwandes der Aufgabenunterbrechung sowie des jeweiligen Anreizes zur
Weiterbearbeitung der Aufgabe. Im vierten Experiment wird ein Übernahmekonzept untersucht, bei dem der Zeitpunkt der Übernahmeaufforderung adaptiv ist hinsichtlich des jeweiligen Aufwandes der Aufgaben-
unterbrechung. Die vorliegende Arbeit kann mit dem Unterbrechungsaufwand und dem Bearbeitungsanreiz zwei in L3-Übernahmesituationen wesentliche Merkmale fahrfremder Tätigkeiten identifizieren (Studien 1 und 2). Darüber hinaus wird eine experimentelle Variation des Unterbrechungsaufwandes erbracht und deren Effekte abgebildet (Studie 2). Durch den Vergleich adaptiver und nicht adaptiver Transitionskonzepte werden die Vorteile von Adaptivität im Rahmen von L3-Übernahmesituationen experimentell herausgearbeitet (Studien 3 und 4).
In this article, we explain and demonstrate how to model norm scores with the cNORM package in R. This package is designed specifically to determine norm scores when the latent ability to be measured covaries with age or other explanatory variables such as grade level. The mathematical method used in this package draws on polynomial regression to model a three-dimensional hyperplane that smoothly and continuously captures the relation between raw scores, norm scores and the explanatory variable. By doing so, it overcomes the typical problems of classical norming methods, such as overly large age intervals, missing norm scores, large amounts of sampling error in the subsamples or huge requirements with regard to the sample size. After a brief introduction to the mathematics of the model, we describe the individual methods of the package. We close the article with a practical example using data from a real reading comprehension test.
One of the features that defines humans as extraordinarily social beings is their striking susceptibility to the gaze of others. The research reported in this dissertation was undertaken to advance our understanding of the role of gaze cues in low-level attentional and higher-order cognitive processes. In particular, effects of gaze were examined with regard to three aspects of human cognition: (1) social attention, (2) social interaction and (3) social understanding. Chapter 1 consists of three manuscripts that investigate the boundary conditions of attention capture by direct gaze and how gaze direction is integrated with facial context information. Manuscript 1 and 2 suggest two necessary requirements for attention capture by direct gaze: a meaningful holistic facial context and sharp foveal vision, respectively. Manuscript 3 shows approach/avoidance-congruency effects between gaze direction and emotion expression on attention. Chapter 2 of this dissertation explores the role of gaze in more naturalistic social scenarios. Manuscript 4 demonstrates that gaze behavior during a conversation shapes our perception of another person. Manuscript 5 builds on these findings by showing that these perceptions define our willingness to act in a prosocial way towards our interaction partner. Finally, chapter 3 adopts a broader perspective on social cognition research with a special focus on methodological aspects. Manuscript 6 is a review highlighting the significance of methodological aspects in social cognition research and stressing the importance of sophisticated decisions on task and stimulus materials. Manuscript 7 introduces a new instrument for the assessment of social understanding in adolescents. Initial application in a young sample group indicates that an understanding of another person’s mental states is a capacity that is still developing throughout adolescence. Both manuscripts of this final chapter include eye tracking data that suggest a relationship between gaze behavior and social understanding, a finding that further emphasizes the complex and multifaceted nature of social cognition. I conclude from the findings of this dissertation that research can benefit from adopting a broad view in terms of methodological as well as temporal aspects in order to capture human social cognition in its entirety.
Anxiety is characterized by anxious anticipation and heightened vigilance to uncertain threat. However, if threat is not reliably indicated by a specific cue, the context in which threat was previously experienced becomes its best predictor, leading to anxiety. A suitable means to induce anxiety experimentally is context conditioning: In one context (CTX+), an unpredictable aversive stimulus (US) is repeatedly presented, in contrast to a second context (CTX−), in which no US is ever presented. In this EEG study, we investigated attentional mechanisms during acquisition and extinction learning in 38 participants, who underwent a context conditioning protocol. Flickering video stimuli (32 s clips depicting virtual offices representing CTX+/−) were used to evoke steady‐state visual evoked potentials (ssVEPs) as an index of visuocortical engagement with the contexts. Analyses of the electrocortical responses suggest a successful induction of the ssVEP signal by video presentation in flicker mode. Furthermore, we found clear indices of context conditioning and extinction learning on a subjective level, while cortical processing of the CTX+ was unexpectedly reduced during video presentation. The differences between CTX+ and CTX− diminished during extinction learning. Together, these results indicate that the dynamic sensory input of the video presentation leads to disruptions in the ssVEP signal, which is greater for motivationally significant, threatening contexts.
The effect of inherently threatening contexts on visuocortical engagement to conditioned threat
(2023)
Fear and anxiety are crucial for adaptive responding in life‐threatening situations. Whereas fear is a phasic response to an acute threat accompanied by selective attention, anxiety is characterized by a sustained feeling of apprehension and hypervigilance during situations of potential threat. In the current literature, fear and anxiety are usually considered mutually exclusive, with partially separated neural underpinnings. However, there is accumulating evidence that challenges this distinction between fear and anxiety, and simultaneous activation of fear and anxiety networks has been reported. Therefore, the current study experimentally tested potential interactions between fear and anxiety. Fifty‐two healthy participants completed a differential fear conditioning paradigm followed by a test phase in which the conditioned stimuli were presented in front of threatening or neutral contextual images. To capture defense system activation, we recorded subjective (threat, US‐expectancy), physiological (skin conductance, heart rate) and visuocortical (steady‐state visual evoked potentials) responses to the conditioned stimuli as a function of contextual threat. Results demonstrated successful fear conditioning in all measures. In addition, threat and US‐expectancy ratings, cardiac deceleration, and visuocortical activity were enhanced for fear cues presented in threatening compared with neutral contexts. These results are in line with an additive or interactive rather than an exclusive model of fear and anxiety, indicating facilitated defensive behavior to imminent danger in situations of potential threat.
When trying to conceal one's knowledge, various ocular changes occur. However, which cognitive mechanisms drive these changes? Do orienting or inhibition—two processes previously associated with autonomic changes—play a role? To answer this question, we used a Concealed Information Test (CIT) in which participants were either motivated to conceal (orienting + inhibition) or reveal (orienting only) their knowledge. While pupil size increased in both motivational conditions, the fixation and blink CIT effects were confined to the conceal condition. These results were mirrored in autonomic changes, with skin conductance increasing in both conditions while heart rate decreased solely under motivation to conceal. Thus, different cognitive mechanisms seem to drive ocular responses. Pupil size appears to be linked to the orienting of attention (akin to skin conductance changes), while fixations and blinks rather seem to reflect arousal inhibition (comparable to heart rate changes). This knowledge strengthens CIT theory and illuminates the relationship between ocular and autonomic activity.
Although most protective behaviors related to the COVID‐19 pandemic come with personal costs, they will produce the largest benefit if everybody cooperates. This study explores two interacting factors that drive cooperation in this tension between private and collective interests. A preregistered experiment (N = 299) examined (a) how the quality of the relation among interacting partners (social proximity), and (b) how focusing on the risk of self‐infection versus onward transmission affected intentions to engage in protective behaviors. The results suggested that risk focus was an important moderator of the relation between social proximity and protection intentions. Specifically, participants were more willing to accept the risk of self‐infection from close others than from strangers, resulting in less caution toward a friend than toward a distant other. However, when onward transmission was the primary concern, participants were more reluctant to effect transmission to close others, resulting in more caution toward friends than strangers. These findings inform the debate about effective nonclinical measures against the pandemic. Practical implications for risk communication are discussed.
How do people estimate the income that is needed to be rich? Two correlative survey studies (Study 1 and 2, N = 568) and one registered experimental study (Study 3, N = 500) examined the cognitive mechanisms that are used to derive an answer to this question. We tested whether individuals use their personal income (PI) as a self‐generated anchor to derive an estimate of the income needed to be rich (= income wealth threshold estimation, IWTE). On a bivariate level, we found the expected positive relationship between one's PI and IWTE and, in line with previous findings, we found that people do not consider themselves rich. Furthermore, we predicted that individuals additionally use information about their social status within their social circles to make an IWTE. The findings from study 2 support this notion and show that only self‐reported high‐income individuals show different IWTEs depending on relative social status: Individuals in this group who self‐reported a high status produced higher IWTEs than individuals who self‐reported low status. The registered experimental study could not replicate this pattern robustly, although the results trended non‐significantly in the same direction. Together, the findings revealed that the income of individuals as well as the social environment are used as sources of information to make IWTE judgements, although they are likely not the only important predictors.
Depressive disorders represent one of the main sources for the loss of healthy years of life. One of the reasons for this circumstance is the recurrent course of these disorders, which can be interrupted by current therapeutic approaches, especially in the shortterm, but seem to be maintained at least in part in the long-term. Subsequently, on one hand, this thesis deals with methodological measurement issues in the longitudinal prediction of depressive courses. On the other hand, it addresses two currently discussed neuroscience-based treatment approaches, which are investigated experimentally in a basic-psychological manner and reviewed in the light of their potential to translate results to the application in patient care. These two approaches each address potential mechanisms that may negatively impact long-term disease trajectories: First, stable endophenotypes for vulnerability factors that could regain control over the organism and reactivate maladaptive experiences, or behaviors with increasing temporal distance from therapeutic methods are focused on. In the studies presented, these were influenced by a recently rediscovered method of neuromodulation (transcranial low-intensity focused ultrasound) which is discussed in light of its unique capability to address even deepest, subcortical regions at a high spatial resolution. Lastly, as a second approach, an experimental design for the use of reconsolidation interference is presented, which could provide a first insight into the applicability of corresponding protocols in the field of depressive disorders and thus contribute to the modification, instead of inhibition, of already mentioned endophenotypes. In sum, methodological considerations for monitoring and predicting long-term courses of depression are deducted before two approaches are discussed that could potentially exert positive influences on the recurrent nature of depressive symptoms on their own, in combination with each other, or as augmentation for existing therapeutic procedures.
The Wuertual Reality XR Meeting 2023 was initiated to bring together researchers from many fields who use VR/AR/XR. There was a focus on applied XR and social VR.
In this conference band, you can find the abstracts of the two keynotes, the 34 posters and poster pitches, the 29 talks and the four workshops.
The Wuertual Reality XR Meeting 2023 was initiated to bring together researchers from many fields who use VR/AR/XR. There was a focus on applied XR and social VR.
In this conference band, you can find the abstracts of the two keynotes, the 34 posters and poster pitches, the 29 talks and the four workshops.
Despite high levels of distress, family caregivers of patients with cancer rarely seek psychosocial support and Internet-based interventions (IBIs) are a promising approach to reduce some access barriers. Therefore, we developed a self-guided IBI for family caregivers of patients with cancer (OAse), which, in addition to patients' spouses, also addresses other family members (e.g., adult children, parents). This study aimed to determine the feasibility of OAse (recruitment, dropout, adherence, participant satisfaction). Secondary outcomes were caregivers’ self-efficacy, emotional state, and supportive care needs. N = 41 family caregivers participated in the study (female: 65%), mostly spouses (71%), followed by children (20%), parents (7%), and friends (2%). Recruitment (47%), retention (68%), and adherence rates (76% completed at least 4 of 6 lessons) support the feasibility of OAse. Overall, the results showed a high degree of overall participant satisfaction (96%). There were no significant pre-post differences in secondary outcome criteria, but a trend toward improvement in managing difficult interactions/emotions (p = .06) and depression/anxiety (p = .06). Although the efficacy of the intervention remains to be investigated, our results suggest that OAse can be well implemented in caregivers’ daily lives and has the potential to improve family caregivers’ coping strategies.
The Coronavirus disease 2019 (COVID-19) has not only had negative effects on employees' health, but also on their prospects to gain and maintain employment. Using a longitudinal research design with two measurement points, we investigated the ramifications of various psychological and organizational resources on employees' careers during the COVID-19 pandemic. Specifically, in a sample of German employees (N = 305), we investigated the role of psychological capital (PsyCap) for four career-related outcomes: career satisfaction, career engagement, coping with changes in career due to COVID-19, and career-related COVID-19 worries. We also employed leader–member exchange (LMX) as a moderator and career adaptability as a mediating variable in these relationships. Results from path analyses revealed a positive association between PsyCap and career satisfaction and career coping. Furthermore, PsyCap was indirectly related to career engagement through career adaptability. However, moderation analysis showed no moderating role of LMX on the link between PsyCap and career adaptability. Our study contributes to the systematic research concerning the role of psychological and organizational resources for employees' careers and well-being, especially for crisis contexts.
Spontaneous brain activity builds the foundation for human cognitive processing during external demands. Neuroimaging studies based on functional magnetic resonance imaging (fMRI) identified specific characteristics of spontaneous (intrinsic) brain dynamics to be associated with individual differences in general cognitive ability, i.e., intelligence. However, fMRI research is inherently limited by low temporal resolution, thus, preventing conclusions about neural fluctuations within the range of milliseconds. Here, we used resting-state electroencephalographical (EEG) recordings from 144 healthy adults to test whether individual differences in intelligence (Raven’s Advanced Progressive Matrices scores) can be predicted from the complexity of temporally highly resolved intrinsic brain signals. We compared different operationalizations of brain signal complexity (multiscale entropy, Shannon entropy, Fuzzy entropy, and specific characteristics of microstates) regarding their relation to intelligence. The results indicate that associations between brain signal complexity measures and intelligence are of small effect sizes (r ∼ 0.20) and vary across different spatial and temporal scales. Specifically, higher intelligence scores were associated with lower complexity in local aspects of neural processing, and less activity in task-negative brain regions belonging to the default-mode network. Finally, we combined multiple measures of brain signal complexity to show that individual intelligence scores can be significantly predicted with a multimodal model within the sample (10-fold cross-validation) as well as in an independent sample (external replication, N = 57). In sum, our results highlight the temporal and spatial dependency of associations between intelligence and intrinsic brain dynamics, proposing multimodal approaches as promising means for future neuroscientific research on complex human traits.