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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.
To slow down the spread of the SARS-Cov-2 virus, countries worldwide severely restricted public and social life. In addition to the physical threat posed by the viral disease (COVID-19), the pandemic also has implications for psychological well-being. Using a small sample (N = 51), we examined how Big Five personality traits relate to coping with contact restrictions during three consecutive weeks in the first wave of the COVID-19 pandemic in Germany. We showed that extraversion was associated with suffering from severe contact restrictions and with benefiting from their relaxation. Individuals with high neuroticism did not show a change in their relatively poor coping with the restrictions over time, whereas conscientious individuals seemed to experience no discomfort and even positive feelings during the period of contact restrictions. Our results support the assumption that neuroticism is a vulnerability factor in relation to psychological wellbeing but also show an influence of contact restrictions on extraverted individuals.
Previous research showed that full body ownership illusions in virtual reality (VR) can be robustly induced by providing congruent visual stimulation, and that congruent tactile experiences provide a dispensable extension to an already established phenomenon. Here we show that visuo-tactile congruency indeed does not add to already high measures for body ownership on explicit measures, but does modulate movement behavior when walking in the laboratory. Specifically, participants who took ownership over a more corpulent virtual body with intact visuo-tactile congruency increased safety distances towards the laboratory's walls compared to participants who experienced the same illusion with deteriorated visuo-tactile congruency. This effect is in line with the body schema more readily adapting to a more corpulent body after receiving congruent tactile information. We conclude that the action-oriented, unconscious body schema relies more heavily on tactile information compared to more explicit aspects of body ownership.
Approach and avoidance of positive and negative social cues are fundamental to prevent isolation and ensure survival. High trait social anxiety is characterized by an avoidance of social situations and extensive avoidance is a risk factor for the development of social anxiety disorder (SAD). Therefore, experimental methods to assess social avoidance behavior in humans are essential. The social conditioned place preference (SCPP) paradigm is a well-established experimental paradigm in animal research that is used to objectively investigate social approach–avoidance mechanisms. We retranslated this paradigm for human research using virtual reality. To this end, 58 healthy adults were exposed to either a happy- or angry-looking virtual agent in a specific room, and the effects of this encounter on dwell time as well as evaluation of this room in a later test without an agent were examined. We did not observe a general SCPP effect on dwell time or ratings but discovered a moderation by trait social anxiety, in which participants with higher trait social anxiety spent less time in the room in which the angry agent was present before, suggesting that higher levels of trait social anxiety foster conditioned social avoidance. However, further studies are needed to verify this observation and substantiate an association with social anxiety disorder. We discussed the strengths, limitations, and technical implications of our paradigm for future investigations to more comprehensively understand the mechanisms involved in social anxiety and facilitate the development of new personalized treatment approaches by using virtual reality.
In this work, we evaluate the status of both theory and empirical evidence in the field of experimental rest-break research based on a framework that combines mental-chronometry and psychometric-measurement theory. To this end, we (1) provide a taxonomy of rest breaks according to which empirical studies can be classified (e.g., by differentiating between long, short, and micro-rest breaks based on context and temporal properties). Then, we (2) evaluate the theorizing in both the basic and applied fields of research and explain how popular concepts (e.g., ego depletion model, opportunity cost theory, attention restoration theory, action readiness, etc.) relate to each other in contemporary theoretical debates. Here, we highlight differences between all these models in the light of two symbolic categories, termed the resource-based and satiation-based model, including aspects related to the dynamics and the control (strategic or non-strategic) mechanisms at work. Based on a critical assessment of existing methodological and theoretical approaches, we finally (3) provide a set of guidelines for both theory building and future empirical approaches to the experimental study of rest breaks. We conclude that a psychometrically advanced and theoretically focused research of rest and recovery has the potential to finally provide a sound scientific basis to eventually mitigate the adverse effects of ever increasing task demands on performance and well-being in a multitasking world at work and leisure.
There continues to be difficulties when it comes to replication of studies in the field of Psychology. In part, this may be caused by insufficiently standardized analysis methods that may be subject to state dependent variations in performance. In this work, we show how to easily adapt the two-layer feedforward neural network architecture provided by Huang1 to a behavioral classification problem as well as a physiological classification problem which would not be solvable in a standardized way using classical regression or “simple rule” approaches. In addition, we provide an example for a new research paradigm along with this standardized analysis method. This paradigm as well as the analysis method can be adjusted to any necessary modification or applied to other paradigms or research questions. Hence, we wanted to show that two-layer feedforward neural networks can be used to increase standardization as well as replicability and illustrate this with examples based on a virtual T-maze paradigm\(^{2−5}\) including free virtual movement via joystick and advanced physiological data signal processing.
Previous research, mainly focusing on the situational preconditions of rule violations, indicates that feelings of being watched by other agents promote rule compliance. However, the cognitive underpinnings of this effect and of rule violations in general have only attracted little scientific attention yet. In this study, we investigated whether cues of being observed not only reduce the likelihood of violating rules but also affect the underlying cognitive processes of such behavior when still putting a rule violation into action. Therefore, we applied a motion-tracking paradigm in which participants could violate a simple stimulus-response mapping rule while being faced with pictures of either open or closed eyes. In line with prior research, temporal and spatial measures of the participants' movements indicated that violating this rule induced substantial cognitive conflict. However, conflict during rulebreaking was not moderated by the eye stimuli. This outcome suggests that rule retrieval constitutes an automatic process which is not or is only barely influenced by situational parameters. Moreover, our results imply that the effect of perceived observation on rule conformity is driven by normative influences on decision-making instead of social facilitation of dominant action tendencies.
The present study examined the perceptual consequences of learning arbitrary mappings between visual stimuli and hand movements. Participants moved a small cursor with their unseen hand twice to a large visual target object and then judged either the relative distance of the hand movements (Exp.1), or the relative number of dots that appeared in the two consecutive target objects (Exp.2) using a two-alternative forced choice method. During a learning phase, the numbers of dots that appeared in the target object were correlated with the hand movement distance. In Exp.1, we observed that after the participants were trained to expect many dots with larger hand movements, they judged movements made to targets with many dots as being longer than the same movements made to targets with few dots. In Exp.2, another group of participants who received the same training judged the same number of dots as smaller when larger rather than smaller hand movements were executed. When many dots were paired with smaller hand movements during the learning phase of both experiments, no significant changes in the perception of movements and of visual stimuli were observed. These results suggest that changes in the perception of body states and of external objects can arise when certain body characteristics co-occur with certain characteristics of the environment. They also indicate that the (dis)integration of multimodal perceptual signals depends not only on the physical or statistical relation between these signals, but on which signal is currently attended.
Die aktuellen Veränderungen der Arbeitswelt erfordern eine stetige Anpassung an immer neue Herausforderungen seitens der Arbeitgeber und Arbeitnehmer. Lebenslanges Lernen und damit eine kontinuierliche Weiterbildung der Mitarbeiter ist essentiell für Unternehmen, um auf dem schnelllebigen Arbeitsmarkt wettbewerbsfähig zu sein. Die Bereitschaft und die Motivation von Menschen, dazuzulernen, ist jedoch sehr unterschiedlich. Eine mögliche Erklärung dafür liefert die dispositionelle Zielorientierung, welche der Achievement-Goal-Theorie entstammt. Das Konstrukt beschreibt, ob Menschen eine individuelle Präferenz für Lernziele (z.B. Kompetenzzuwachs) oder Leistungsziele (z.B. gute Beurteilungen bekommen oder schlechte Beurteilungen vermeiden) haben. Neben den Persönlichkeitsaspekten konzentriert sich die Forschung im Rahmen der Achievement-Goal-Theorie auch auf den Einfluss der Umgebung auf Lern- und Leistungsprozesse. Die sogenannte arbeitsplatzbezogene Zielorientierung beschreibt die wahrgenommene Zielstruktur der Arbeitsumgebung und stellt das situationsbedingte Gegenstück der Dispositionen dar. Zahlreiche Befunde aus dem Bereich der pädagogischen Psychologie zu Zielstrukturen der Umgebung zeigen einen Einfluss auf beispielsweise Lernerfolg, Motivation, Selbstregulationsprozesse oder Leistung. Zielstrukturen im Arbeitskontext stellen hingegen ein bisher wenig beachtetes Konstrukt dar. Ausgehend von den aktuellen Befunden zu Zielstrukturen, könnte die arbeitsplatzbezogene Zielorientierung jedoch einen wichtigen Beitrag leisten, wenn es um die Frage geht, wie Mitarbeiter unterstützt und zu Lernprozessen angeregt werden können. Die Identifizierung von lern- und leistungsförderlichen Zielstrukturen der Arbeitsumgebung würde wertvolle Ansatzpunkte für die Mitarbeiterentwicklung in der betrieblichen Praxis liefern.
Im Rahmen von drei empirischen Studien wird der Relevanz der Zielorientierung im Arbeits-kontext nachgegangen. Neben der Überprüfung eines ins Deutsche übertragenen und angepassten Mess-instruments zur Erhebung der arbeitsplatzbezogenen Zielorientierung (Studie 1) steht vor allem die Untersuchung möglicher Einflüsse des Konstrukts auf arbeitsrelevante Variablen im Vordergrund, um förderliche Zielstrukturen zu identifizieren (Studie 1 & 2). Darüber hinaus werden erstmalig mögliche Person-Situation-Interaktionen in diesem Zusammenhang untersucht (Studie 2). Abschließend erfolgt eine Untersuchung möglicher Antezedenten der arbeitsplatzbezogenen Zielorientierung, woraus sich erste wichtige Anhaltspunkte für Interventionsmaßnahmen am Arbeitsplatz ableiten lassen (Studie 3).
Die Ergebnisse der Studien zeigen, dass insbesondere ein lernzielorientierter Arbeitsplatz förderlich für die untersuchten Variablen wie Lernerfolg, Leistung oder auch berufliche Selbstwirksamkeit ist. In Bezug auf die Interaktion von Person und Situation ergaben sich gemischte Befunde, die kein eindeutiges Interaktionsmuster aufweisen. Bei der Frage, wie ein lernzielorientierter Arbeitsplatz gefördert werden kann, erwies sich vor allem die Art und Weise, wie Führungskräfte mit Fehlern umgehen, als relevant. Die Studien liefern demnach wichtige erste Ansätze für theoretische und praktische Implikationen, wie Mitarbeiter in Lern- und Leistungsprozessen unterstützt werden können.
Spin-lock based functional magnetic resonance imaging (fMRI) has the potential for direct spatially-resolved detection of neuronal activity and thus may represent an important step for basic research in neuroscience. In this work, the corresponding fundamental effect of Rotary EXcitation (REX) is investigated both in simulations as well as in phantom and in vivo experiments. An empirical law for predicting optimal spin-lock pulse durations for maximum magnetic field sensitivity was found. Experimental conditions were established that allow robust detection of ultra-weak magnetic field oscillations with simultaneous compensation of static field inhomogeneities. Furthermore, this work presents a novel concept for the emulation of brain activity utilizing the built-in MRI gradient system, which allows REX sequences to be validated in vivo under controlled and reproducible conditions. Via transmission of Rotary EXcitation (tREX), we successfully detected magnetic field oscillations in the lower nano-Tesla range in brain tissue. Moreover, tREX paves the way for the quantification of biomagnetic fields.