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Emotional-associative learning processes such as fear conditioning and extinction are highly relevant to not only the development and maintenance of anxiety disorders (ADs), but also to their treatment. Extinction, as the laboratory analogue to behavioral exposure, is assumed a core process underlying the treatment of ADs. Although exposure-based treatments are highly effective for the average patient suffering from an AD, there remains a gap in treatment efficacy with over one third of patients failing to achieve clinically significant symptom relief. There is ergo a pressing need for intensified research regarding the underlying neural mechanisms of aberrant emotional-associative learning processes and the neurobiological moderators of treatment (non-)response in ADs.
The current thesis focuses on different applications of the fundamental principles of fear conditioning and extinction by using two example cases of ADs from two different multicenter trials. First, we targeted alterations in fear acquisition, extinction, and its recall as a function of psychopathology in panic disorder (PD) patients compared to healthy subjects using fMRI. Second, exposure-based therapy and pre-treatment patient characteristics exerting a moderating influence on this essential learning process later on (i.e. treatment outcome) were examined using multimodal functional and structural neuroimaging in spider phobia.
We observed aberrations in emotional-associative learning processes in PD patients compared to healthy subjects indicated by an accelerated fear acquisition and an attenuated extinction recall. Furthermore, pre-treatment differences related to defensive, regulatory, attentional, and perceptual processes may exert a moderating influence on treatment outcome to behavioral exposure in spider phobia. Although the current results need further replication, on an integrative meta level, results point to a hyperactive defensive network system and deficient emotion regulation processes (including extinction processes) and top-down control in ADs. This speaks in favor of transdiagnostic deficits in important functional domains in ADs.
Deficits in transdiagnostic domains such as emotion regulation processes could be targeted by enhancing extinction learning or by means of promising tools like neurofeedback. The detection of pre-treatment clinical response moderators, for instance via machine learning frameworks, may help in supporting clinical decision making on individually tailored treatment approaches or, respectively, to avoid ineffective treatment and its related financial costs. In the long run, the identification of neurobiological markers which are capable of detecting non-responders a priori represents an ultimate goal.
The field of giftedness and gifted education has long been characterized by internal fragmentation and inconsistent definitions of core concepts (e.g., Ambrose et al., 2010; Coleman, 2006; McBee et al., 2012). It was only in recent years that increased efforts have been made to organize available research findings and thereby bring back greater uniformity to the field of giftedness and gifted education. For example, Preckel et al.’s (2020) Talent Development in Achievement Domains (TAD) framework integrates theoretical perspectives and empirical knowledge from different parts of the field. It is general in concept and can be applied to a wide range of achievement domains. By specifically focusing on measurable psychological constructs as well as their relevance at different stages of the talent development process, Preckel et al.’s (2020) TAD framework is well suited as a starting point for generating more domain-specific talent development models.
The present thesis represents one of the first attempts to empirically test the validity of Preckel et al.’s (2020) TAD framework in academic domains using longitudinal data. The longitudinal data came from a sample of former junior students at Julius-Maximilians-Universität (JMU) Würzburg who showed high academic achievement potential.
There were two related research issues: Research Issue 1 first aimed to document in detail how the educational trajectories of former junior students unfold in the years following their Abitur. To this end, a follow-up was conducted among 208 young adults who had participated in the junior study program at JMU Würzburg between the winter semester of 2004/2005 and the summer semester of 2011. The design of the follow-up questionnaire was based on a series of research questions that had emerged from the relevant literature on junior study programs in Germany. The follow-up ran from October 2019 to February 2020. The data were analyzed descriptively and documented as a detailed report. The results of Research Issue 1 revealed that the former junior students continued to be academically (and later professionally) successful long after their school years. For example, at the time of the follow-up, almost all former junior students had earned a bachelor’s and a master’s degree, most often with notable academic successes (e.g., scholarships, awards/prizes). In addition, more than half of those who responded had begun or already completed a doctoral degree, also recording special academic accomplishments (e.g., scientific publications, scholarships). A significant proportion of the former junior students had already entered the workforce at the time of their response. A look at their current professional situation revealed an above-average expression of success indicators (e.g., income, professional status). The clear majority of the former junior students reported that, even in retrospect, they would choose to take part in the junior study program at JMU Würzburg again.
Research Issue 2 aimed to determine the extent to which the structure of Preckel et al.’s (2020) TAD framework could be empirically validated in academic domains. The educational trajectories of 84 former junior students at JMU Würzburg who had chosen a subject from the same subject field in their regular studies as in their junior studies served as the data basis. The educational trajectories were compiled from the former junior students’ follow-up data and from their data on the selection process for the junior study program at JMU Würzburg. Combining the structural assumptions of Preckel et al.’s (2020) TAD framework with relevant insights from individual academic disciplines made it possible to derive hypotheses regarding potential predictors and indicators of the talent development stages aptitude, competence, and expertise in academic domains. Structural equation models were used for data analysis. The results of Research Issue 2 suggested that the talent development stages aptitude, competence, and expertise, while being predictive of each other in their chronological order, could be satisfactorily modeled using framework-compliant indicators in academic domains. In comparison, the talent development stage transformational achievement could not (yet) be modeled based on the longitudinal data. Among the hypothesized predictors, former junior students’ investigative interests and their metacognitive abilities reliably determined the talent development stages competence and expertise, whereas the remaining predictors did not make significant contributions.
Taken together, the results of the present thesis suggest that the validity of Preckel et al.’s (2020) TAD framework can only be partially confirmed in academic domains. Unlike the postulated indicators, the predictors in Preckel et al.’s (2020) TAD framework do not seem to be easily generalizable to academic domains but to be highly specific with regard to the talent domain under consideration. Therefore, a natural progression of the present thesis would be to examine the structure of Preckel et al.’s (2020) TAD framework at the subordinate level of subject fields or even at the level of individual academic disciplines, for example.
Pain conditions and chronic pain disorders are among the leading reasons for seeking medical help and immensely burden patients and the healthcare system. Therefore, research on the underlying mechanisms of pain processing and modulation is necessary and warranted. One crucial part of this pain research includes identifying resilience factors that protect from chronic pain development and enhance its treatment. The ability to use emotion regulation strategies has been suggested to serve as a resilience factor, facilitating pain regulation and management. Acceptance has been discussed as a promising pain regulation strategy, but results in this domain have been mixed so far. Moreover, the allocation of acceptance in Gross’s (1998) process model of emotion regulation has been under debate. Thus, comparing acceptance with the already established strategies of distraction and reappraisal could provide insights into underlying mechanisms. This dissertation project consisted of three successive experimental studies which aimed to investigate these strategies by applying different modalities of individually adjusted pain stimuli of varying durations. In the first study (N = 29), we introduced a within-subjects design where participants were asked to either accept (acceptance condition) or react to the short heat pain stimuli (10 s) without using any pain regulation strategies (control condition). In the second study (N = 36), we extended the design of study 1 by additionally applying brief, electrical pain stimuli (20 ms) and including the new experimental condition distraction, where participants should distract themselves from the pain experience by imagining a neutral situation. In the third study (N = 121), all three strategies, acceptance, distraction, and reappraisal were compared with each other and additionally with a neutral control condition in a mixed design. Participants were randomly assigned to one of three strategy groups, including a control condition and a strategy condition. All participants received short heat pain stimuli of 10 s, alternating with tonic heat pain stimuli of 3 minutes. In the reappraisal condition, participants were instructed to imagine the pain having a positive outcome or valence. The self-reported pain intensity, unpleasantness, and regulation ratings were measured in all studies. We further recorded the autonomic measures heart rate and skin conductance continuously and assessed the habitual emotion regulation styles and pain-related trait factors via questionnaires. Results revealed that the strategies acceptance, distraction, and reappraisal significantly reduced the self-reported electrical and heat pain stimulation with both durations compared to a neutral control condition. Additionally, regulatory efforts with acceptance in study 2 and with all strategies in study 3 were reflected by a decreased skin conductance level compared to the control condition. However, there were no significant differences between the strategies for any of the assessed variables. These findings implicate similar mechanisms underlying all three strategies, which led to the proposition of an extended process model of emotion regulation. We identified another sequence in the emotion-generative process and suggest that acceptance can flexibly affect at least four sequences in the process. Correlation analyses further indicated that the emotion regulation style did not affect regulatory success, suggesting that pain regulation strategies can be learned effectively irrespective of habitual tendencies. Moreover, we found indications that trait factors such as optimism and resilience facilitated pain regulation, especially with acceptance. Conclusively, we propose that acceptance could be flexibly used by adapting to different circumstances. The habitual use of acceptance could therefore be considered a resilience factor. Thus, acceptance appears to be a promising and versatile strategy to prevent the development of and improve the treatment of various chronic pain disorders. Future studies should further examine factors and circumstances that support effective pain regulation with acceptance.
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.
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.
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.
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.
Empathy, the act of sharing another person’s affective state, is a ubiquitous driver for helping others and feeling close to them. These experiences are integral parts of human behavior and society. The studies presented in this dissertation aimed to investigate the sustainability and stability of social closeness and prosocial decision-making driven by empathy and other social motives. In this vein, four studies were conducted in which behavioral and neural indicators of empathy sustainability were identified using model-based functional magnetic resonance imaging (fMRI).
Applying reinforcement learning, drift-diffusion modelling (DDM), and fMRI, the first two studies were designed to investigate the formation and sustainability of empathy-related social closeness (study 1) and examined how sustainably empathy led to prosocial behavior (study 2). Using DDM and fMRI, the last two studies investigated how empathy combined with reciprocity, the social norm to return a favor, on the one hand and empathy combined with the motive of outcome maximization on the other hand altered the behavioral and neural social decision process.
The results showed that empathy-related social closeness and prosocial decision tendencies persisted even if empathy was rarely reinforced. The sustainability of these empathy effects was related to recalibration of the empathy-related social closeness learning signal (study 1) and the maintenance of a prosocial decision bias (study 2). The findings of study 3 showed that empathy boosted the processing of reciprocity-based social decisions, but not vice versa. Study 4 revealed that empathy-related decisions were modulated by the motive of outcome maximization, depending on individual differences in state empathy.
Together, the studies strongly support the concept of empathy as a sustainable driver of social closeness and prosocial behavior.
Social contact is an integral part of daily life. Its health-enhancing effects include reduced negative affective experiences of fear and anxiety, a phenomenon called social buffering. This dissertation studied different forms of social contact and their anxiety-buffering effects with diverse methodologies.
The laboratory-based first study investigated minimal social contact in the context of pain relief learning. Results showed that the observed decreased autonomic and increased subjective fear responses following pain relief learning were independent of social influence. The minimalistic and controlled social setting may have prevented social buffering. Study 2 targeted social buffering in daily life using Ecological Momentary Assessment. We repeatedly assessed individuals’ state anxiety, related cardiovascular responses, and aspects of social interactions with smartphones and portable sensors on five days. Analyses of over 1,500 social contacts revealed gender-specific effects, e.g., heart rate-reducing effects of familiarity in women, but not men. Study 3 examined anxiety, loneliness, and related social factors in the absence of social contact due to social distancing. We constructed and validated a scale measuring state and trait loneliness and isolation, and analysed its link to mental health. Results include a social buffering-like relation of lower anxiety with more trait sociability and sense of belonging.
In sum, the studies showed no fear reduction by minimal social contact, but buffering effects relating to social and personal factors in more complex social situations. Anxiety responses during daily social contacts were lower with more familiar or opposite-gender interaction partners. During limited social contact, lower anxiety related to inter-individual differences in sociability, social belonging, and loneliness. By taking research from lab to life, this dissertation underlined the diverse nature of social contact and its relevance to mental health.
Due to the global aging society and the enormous global incidence and prevalence rates that will result in the coming years, Alzheimer's Dementia (AD) represents a growing challenge for the health care system. The pathogenesis, which is unclear in parts, the chronic progression of AD, which often lasts for years, as well as insufficient diagnostic and therapeutic options complicate an adequate psychotherapeutic and medical approach to the disease. To date, AD is also considered an incurable disease.
Therefore, it is essential to gain deeper insights into the early detection or even prevention of AD. Consideration of prodromal syndromes such as Mild Cognitive Impairment (MCI) can provide significant evidence about high-risk groups for AD progression and differentiate cognitively "normal" aging individuals from those with pathological cognitive decline. Thus, for example, functional Near-Infrared Spectroscopy (fNIRS) imaging helps identify early neurodegenerative processes. In contrast, potential risk factors and predictors of later-onset clinical symptoms of MCI and AD can most often be revealed and quantified via the use of neuropsychiatric test batteries.
The present thesis consists of four studies and aimed to assess and describe the pathological cognitive decline in a sample of elderly study participants (age: ≥ 70 years; N = 604 at baseline) of the longitudinal, observational, and prospective "Vogel Study" from Würzburg, Germany, who were primarily healthy at baseline, over two measurement time points approximately 3 years apart, to differentiate between healthy and diseased study participants and to define predictors of MCI/AD and longitudinal study dropout.
Studies 1 and 2 differentiated healthy study participants from MCI patients based on the baseline hemodynamic response of the parietal cortex recorded by fNIRS during the processing of a paradigm (here: Angle Discrimination Task [ADT]) for visual-spatial processing performance. Neuronal hypoactivity was found in the MCI patients, with both healthy study participants and MCI patients showing higher superior and right hemispheric activation. MCI patients had more difficulty resolving the paradigm. Thus, no evidence of possible compensatory mechanisms was uncovered in the MCI patients.
Study 3 first defined the four latent factors declarative memory, working memory, attention, and visual-spatial processing based on structural equation model (SEM) calculations of the sample using adequate measurement (in-)variant confirmatory factor models from the baseline assessment to the first of a total of two follow-up assessments after approximately 3 years. This allowed a dimensional assessment of pathological cognitive decline versus classificatory-categorical assignment (healthy/diseased) of the sample. In addition, the superiority of the latent factor approach over a composite approach was demonstrated. Next, using a mixed-model approach, predictive analyses were calculated for the prediction of latent factors at first follow-up by baseline risk factors. The sex of study participants proved to be the best predictor of cognitive change in all the cognitive domains, with females performing better than men in the memory domains. Specifically, for declarative memory, older age predicted lower performance regardless of sex. Additional predictive evidence emerged for low serum levels of Brain-Derived Neurotrophic Factor (BDNF) on lower attention performance and higher depression symptoms on lower visual-spatial processing performance.
Study 4 further reported baseline predictors of study dropout at first follow-up. Cognitive performance, as defined in Study 3 using the four latent cognitive factors, was a predictor of study dropout for cognitive decline in the domains of declarative memory, attention, and visual-spatial processing. Conspicuous dementia screening on the Mini-Mental Status Examination (MMSE) also predicted dropout.
Overall, both the use of fNIRS imaging to detect visual-spatial processing performance in the parietal cortex during applying ADT and the dimensional perspective of the neuropsychiatric test battery in the context of prediction and dropout analyses were found to be suitable for early detection research of MCI and AD. Finally, the results will be interpreted in the overall context and implications, limitations, and perspectives will be discussed.