Universitätsbibliothek

The present dissertation aims to shed light on different mechanisms of socio-emotional feedback in social decision-making situations. The objective is to evaluate emotional facial expressions as feedback stimuli, i.e., responses of interaction partners to certain social decisions. In addition to human faces, artificial emojis are also examined due to their relevance for modern digital communication. Previous research on the influence of emotional feedback suggests that a person's behavior can be effectively reinforced by rewarding stimuli. In the context of this dissertation, the differences in the feedback processing of human photographs and emojis, but also the evaluation of socially expected versus socially unexpected feedback were examined in detail in four studies. In addition to behavioral data, we used the electroencephalogram (EEG) in all studies to investigate neural correlates of social decision-making and emotional feedback. As the central paradigm, all studies were based on a modified ultimatum game. The game is structured as follows: there is a so-called proposer who holds a specific amount of money (e.g., 10 cents) and offers the responder a certain amount (e.g., 3 cents). The responder then decides whether to accept or reject the offer. In the version of the ultimatum game presented here, different types of proposers are introduced. After the participants have accepted or rejected in the role of the responder, the different proposers react to the participant’s decision with specific emotional facial expressions. Different feedback patterns are used for the individual experiments conducted in the course of this dissertation. In the first study, we investigated the influence of emotional feedback on decision-making in the modified version of the ultimatum game. We were able to show that a proposer who responds to the acceptance of an offer with a smiling face achieves more accepted offers overall than a control proposer who responds to both accepted and rejected offers with a neutral facial expression. Consequently, the smile served as a positive reinforcement. Similarly, a sad expression in response to a rejected offer also resulted in higher acceptance rates as compared to the control identity, which could be considered an expression of compassion for that proposer. On a neuronal level, we could show that there are differences between simply looking at negative emotional stimuli (i.e., sad and angry faces) and their appearance as feedback stimuli after rejected offers in the modified ultimatum game. The so-called feedback-related negativity was reduced (i.e., more positive) when negative emotions appeared as feedback from the proposers. We argued that these findings might show that the participants wanted to punish the proposers by rejecting an offer for its unfairness and therefore the negative feedback met their expectations. The altered processing of negative emotional facial expressions in the ultimatum game could therefore indicate that the punishment is interpreted as successful. This includes the expectation that the interaction partner will change his behavior in the future and eventually make fairer offers. In the second study we wanted to show that smiling and sad emojis as feedback stimuli in the modified ultimatum game can also lead to increased acceptance rates. Contrary to our assumptions, this effect could not be observed. At the neural level as well, the findings did not correspond to our assumptions and differed strongly from those of the first study. One finding, however, was that the neural P3 component showed how the use of emojis as feedback stimuli particularly characterizes certain types of proposers. This is supported by the fact that the P3 is increased for the proposer who rewards an acceptance with a smile as well as for the proposer who reacts to rejection with a sad emoji compared to the neutral control proposer. The third study examined the discrepancy between the findings of the first and second study. Accordingly, both humans and emojis representing the different proposers were presented in the ultimatum game. In addition, emojis were selected that showed a higher similarity to known emojis from common messenger services compared to the second study. We were able to replicate that the proposers in the ultimatum game, who reward an acceptance of the offer with a smile, led to an increased acceptance rate compared to the neutral control proposers. This difference is independent of whether the proposers are represented by emojis or human faces. With regard to the neural correlates, we were able to demonstrate that emojis and human faces differ strongly in their neural processing. Emojis showed stronger activation than human faces in the face-processing N170 component, the feedback-related negativity and the P3 component. We concluded that the results of the N170 and feedback-related negativity could indicate a signal for missing social information of emojis compared to faces. The increased P3 amplitude for emojis might imply that emojis appear unexpectedly as reward stimuli in a social decision task compared to human faces. The last study of this project dealt with socially unexpected feedback. In comparison to the first three studies, new proposer identities were implemented. In particular, the focus was on a proposer who reacted to the rejection of an offer unexpectedly with a smile and to the acceptance with a neutral facial expression. According to the results, participants approach this unexpected smile through increased rejection, although it is accompanied by financial loss. In addition, as reported in studies one and three, we were able to show that proposers who respond to the acceptance of an offer with a smiling face and thus meet the expectations of the participants have higher offer acceptance rates than the control proposer. At the neuronal level, especially the feedback from the socially unexpected proposer led to an increased P3 amplitude, which indicates that smiling after rejection is attributed a special subjective importance. The experiments provide new insights into the social influence through emotional feedback and the processing of relevant social cues. Due to the conceptual similarity of the studies, it was possible to differentiate between stable findings and potentially stimulus-dependent deviations, thus creating a well-founded contribution to the current research. Therefore, the novel paradigm presented here, and the knowledge gained from it could also play an important role in the future for clinical questions dealing with limited social competencies.

This thesis aims for a better understanding of the mechanisms underlying anxiety as well as trauma- and stressor-related disorders and the development of new therapeutic approaches. I was first interested in the associative learning mechanisms involved in the etiology of anxiety disorders. Second, I explored the therapeutic effects of transcutaneous vagus nerve stimulation (tVNS) as a promising new method to accelerate and stabilize extinction learning in humans. For these purposes, I applied differential anxiety conditioning protocols realized by the implementation of virtual reality (VR). Here, a formerly neutral virtual context (anxiety context, CTX+) is presented whereby the participants unpredictably receive mildly aversive electric stimuli (unconditioned stimulus, US). Another virtual context (safety context, CTX-) is never associated with the US. Moreover, extinction of conditioned anxiety can be modeled by presenting the same contexts without US delivery. When unannounced USs were administered after extinction, i.e. reinstatement, the strength of the “returned” conditioned anxiety can provide information on the stability of the extinction memory. In Study 1, I disentangled the role of elemental and conjunctive context representations in the acquisition of conditioned anxiety. Sequential screenshots of two virtual offices were presented like a flip-book so that I elicited the impression of walking through the contexts. Some pictures of CTX+ were paired with an US (threat elements), but not some other screenshots of the same context (non-threat elements), nor the screenshots depicting CTX- (safety elements). Higher contingency ratings for threat compared to non-threat elements revealed elemental representation. Electro-cortical responses showed larger P100 and early posterior negativity amplitudes elicited by screenshots depicting CTX+ compared to CTX- and suggested conjunctive representation. These results support the dual context representation in anxiety acquisition in healthy individuals. Study 2 addressed the effects of tVNS on the stabilization of extinction learning by using a context conditioning paradigm. Potentiated startle responses as well as higher aversive ratings in CTX+ compared to CTX- indicate successful anxiety conditioning. Complete extinction was found in startle responses and valence ratings as no differentiation between CTX+ and CTX- suggested. TVNS did not affect extinction or reinstatement of anxiety which may be related to the inappropriate transferability of successful stimulation parameters from epilepsy patients to healthy participants during anxiety extinction. Therefore, in Study 3 I wanted to replicate the modulatory effects of tVNS on heart rate and pain perception by the previously used parameters. However, no effects of tVNS were observed on subjective pain ratings, on pain tolerance, or on heart rate. This led to the conclusion that the modification of stimulation parameters is necessary for a successful acceleration of anxiety extinction in humans. In Study 4, I prolonged the tVNS and, considering previous tVNS studies, I applied a cue conditioning paradigm in VR. Therefore, during acquisition a cue (CS+) presented in CTX+ predicted the US, but not another cue (CS-). Both cues were presented in a second context (CTX-) and never paired with the US. Afterward, participants received either tVNS or sham stimulation and underwent extinction learning. I found context-dependent cue conditioning only in valence ratings, which was indicated by lower valence for CS+ compared to CS- in CTX+, but no differential ratings in CTX-. Successful extinction was indicated by equal responses to CS+ and CS-. Interestingly, I found reinstatement of conditioned fear in a context-dependent manner, meaning startle response was potentiated for CS+ compared to CS- only in the anxiety context. Importantly, even the prolonged tVNS had no effect, neither on extinction nor on reinstatement of context-dependent cue conditioning. However, I found first evidence for accelerated physiological contextual extinction due to less differentiation between startles in CTX+ compared to CTX- in the tVNS than in the sham stimulated group. In sum, this thesis first confirms the dual representation of a context in an elemental and a conjunctive manner. Second, though anxiety conditioning and context-dependent cue conditioning paradigms worked well, the translation of tVNS accelerated extinction from rats to humans needs to be further developed, especially the stimulation parameters. Nevertheless, tVNS remains a very promising approach of memory enhancement, which can be particularly auspicious in clinical settings.

Bone marrow dosimetry is a topic of high interest in molecular radiotherapy. Predicting the level of hematological toxicity is one of the most important goals of nuclear medicine radiation dosimetry. To achieve this, it is necessary to quantify the absorbed dose to the active bone marrow, thus aiming at administering the most efficient therapy with a minimum level of adverse effects in the patient. The anatomical complexity of trabecular bone and bone marrow leads to the need of applying non-nuclear medicine imaging methods for determining the spatial distribution of soft tissue, adipose tissue, and bone in spongiosa. Therefore, the two objectives of this dissertation are: i) to apply magnetic resonance imaging (MRI) for quantification of the fat volume fraction, and ii) to validate a method based on dual-energy quantitative computed tomography (DEQCT) for quantification of the trabecular bone volume fraction. In a first step, an MRI sequence (two-point Dixon) for fat-water separation was validated in a 3 Tesla system by quantifying the fat volume fraction in a phantom and the lumbar vertebrae of volunteers and comparing with magnetic resonance spectroscopy (MRS). After successful validation, the fat volume fraction was retrospectively measured in the five lumbar vertebrae of 44 patient images acquired in the clinical routine. The two-point Dixon showed a good quantification of the fat volume fraction in the phantom experiment (-9.8% maximum relative error with respect to the nominal values). In the volunteers, a non-significant difference between MRI and MRS was found for the quantification of the fat volume fraction in volumes-of-interest with similar dimensions and position in both quantification methodologies (MRI and MRS). In the study with patient data, the marrow conversion (red → yellow marrow) was found to be age-dependent, and slower in males (0.3% per year) than in females (0.5% per year). Also, considerable variability of the fat volume fraction in patients of similar ages and the same gender was observed. These results enable the use of two-point Dixon MRI in the quantification of the fat volume fraction in the bone marrow. Additionally, the constant marrow conversion during adulthood suggests that a patient-specific approach should replace the assumption of a constant cellularity volume fraction of 0.7 (reference man) (1,2) as proposed by the International Commission on Radiological Protection (ICRP). In a second step, a quantification method based on DEQCT was validated in two CT systems: i) a clinical CT integrated into a SPECT/CT and ii) a dual-source computed tomography (DSCT) system. The method was applied in two phantoms: the first was used to validate the DEQCT method by the quantification of the hydroxyapatite volume fraction in three vials of 50 ml each and three different hydroxyapatite concentrations (100 mg/cm3, 200 mg/cm3, 300 mg/cm3). The second phantom was the European spine phantom (ESP), an anthropomorphic spine phantom. It was used to quantify the bone mineral content (BMC) on the whole vertebra and the hydroxyapatite volume fraction (VFHA) in the spongiosa region of each vertebra of the phantom. Lastly, the BMC of lumbar vertebrae 1 (LV1) and 2 (LV2) was measured in a patient using DEQCT and dual-energy X-ray absorptiometry (DEXA). Furthermore, the hydroxyapatite volume fraction (VFHA) and the bone volume fraction (VFB) was calculated for both the whole vertebrae and the spongiosa region of LV1 and LV2. The measured and nominal hydroxyapatite volume fraction in the vial phantom showed a good correlation (maximum relative error: 14.2%). The quantification of the BMC on the whole vertebra and the VFHA on the spongiosa region showed larger relative errors than in the validation phantom. The quantification of BMC on LV1 and LV2 showed relative errors between DEXA and DSCT equal to 7.6% (LV1) and -8.4% (LV2). Also, the values of the VFHA (mineral bone) were smaller than the VFB. This result is consistent with the bone composition (mineral bone plus organic material). The DEQCT method enables the quantification of hydroxyapatite (mineral bone) and bone (mineral bone plus organic material) in a clinical setting. However, the method showed an overestimation of the quantified mineral bone volume fraction. This overestimation might be related to the lack of detailed information on the CT X-ray spectra and detector sensitivity. Also, the DEQCT method showed a dependency on the CT reconstruction kernel and the chemical description of the materials to be quantified. Based on the results of this work, the feasibility for quantifying the fat volume fraction and the bone volume fraction in the spongiosa in a clinical setting has been demonstrated/proven. Furthermore, the differences in fat volume fraction in females and males, as well as the variability of the fat volume fraction in subjects of similar ages, questions the approximation of the cellularity volume fraction by only a single ICRP reference value in bone marrow dosimetry for molecular radiotherapy. Lastly, this study presents the first approach for non-invasive quantification of the bone volume fraction (mineral bone plus organic material) for improved bone marrow dosimetry.

My dissertation comprises three studies: (1) an assessment of honey bee colony losses in the USA between 2014 and 2015, (2) an exploration of the potential of reclaimed sand mines as bee habitat, and (3) an evaluation of native and non-native pollinator friendly plants in regard to their attraction to bees. While the first study focuses on honey bees, the latter two studies primarily take wild bees or entire bee communities in focus. The study on honey bee colony losses was conducted within the framework of the Bee Informed Partnership (BIP, beeinformed.org) and aligns with the annual colony loss surveys which have been conducted in the USA since the winter of 2006/2007. It was the fourth year for which summer and annual losses were calculated in addition to winter losses. Among participants, backyard beekeepers were the largest group (n = 5690), although sideline (n = 169) and commercial (n = 78) beekeepers managed the majority (91.7 %) of the 414 267 surveyed colonies. Overall, 15.1 % of the estimated 2.74 million managed colonies in the USA were included in the study. Total honey bee colony losses (based on the entirety of included colonies) were higher in summer (25.3 %) than in winter (22.3 %) and amounted to 40.6 % for the entire 2014/2015 beekeeping year. Average colony losses per beekeeper or operation were higher in winter (43.7 %) than in summer (14.7 %) and amounted to 49 % for the entire 2014/2015 beekeeping year. Due to the dominance of backyard beekeepers among participants, average losses per operation (or unweighted loss) stronger reflected this smaller type of beekeeper. Backyard beekeepers mainly named colony management issues (e.g., starvation, weak colony in the fall) as causes for mortality, while sideline and commercial beekeepers stronger emphasized parasites or factors outside their control (e.g., varroa, nosema, queen failure). The second study took place at reclaimed sand mines. Sand mines represent anthropogenically impacted habitats found worldwide, which bear potential for bee conservation. Although floral resources can be limited at these habitats, vegetation free patches of open sandy soils and embankments may offer good nesting possibilities for sand restricted and other bees. We compared bee communities as found in three reclaimed sand mines and at adjacent roadside meadows in Maryland, USA, over two years. Both sand mines and roadsides hosted diverse bee communities with 111 and 88 bee species, respectively. Bee abundances as well as richness and Shannon diversity of bee species were higher in sand mines than at roadsides and negatively correlated with the percentage of vegetational ground cover. Species composition also differed significantly between habitats. Sand mines hosted a higher proportion of ground nesters, more uncommon and more ‘sand loving’ bees similar to natural sandy areas of Maryland. Despite the destruction of the original pre-mining habitat, sand mines thus appear to represent a unique habitat for wild bees, particularly when natural vegetation and open sand spots are encouraged. Considering habitat loss, the lack of natural disturbance regimes, and ongoing declines of wild bees, sand mines could add promising opportunities for bee conservation which has hitherto mainly focused on agricultural and urban habitats. The third study was an experimental field study on pollinator friendly plants. Bees rely on the pollen and nectar of plants as their food source. Therefore, pollinator friendly plantings are often used for habitat enhancements in bee conservation. Non-native pollinator friendly plants may aid in bee conservation efforts, but have not been tested and compared with native pollinator friendly plants in a common garden experiment. In this study, we seeded mixes of 20 native and 20 non-native pollinator friendly plants in two separate plots at three sites in Maryland, USA. For two years, we recorded flower visitors to the plants throughout the blooming period and additionally sampled bees with pan traps. A total of 3744 bees (120 species) were sampled in the study. Of these, 1708 bees (72 species) were hand netted directly from flowers for comparisons between native and non-native plants. Depending on the season, bee abundance and species richness was either similar or lower (early season and for richness also late season) at native plots compared to non-native plots. Additionally, the overall bee community composition differed significantly between native and non-native plots. Furthermore, native plants were associated with more specialized plant-bee visitation networks compared to non-native plants. In general, visitation networks were more specialized in the early season than the later seasons. Four species (Bombus impatiens, Halictus poeyi/ligatus, Lasioglossum pilosum, and Xylocopa virginica) out of the five most abundant bee species (also including Apis mellifera) foraged more specialized on native than non-native plants. Our study showed that non-native plants were well accepted by a diverse bee community and had a similar to higher attraction for bees compared to native plants. However, we also demonstrated alterations in foraging behavior, bee community assemblage, and visitation networks. As long as used with caution, non-native plants can be a useful addition to native pollinator friendly plantings. This study gives a first example of a direct comparison between native and non-native pollinator friendly plants.

Humans tend to believe in what they can see with their own eyes. Hence, visualization methods like microscopy have always been extremely popular since their invention in the 17th century. With the advent of super-resolution microscopy, the diffraction limit of ~200 - 250 nm could be overcome to enable more detailed insights into biological samples. Especially the single molecule localization microscopy method dSTORM offers the possibility of quantitative bioimaging. Hereby, the repetitive photoswitching of organic dyes in the presence of thiols is exploited to enable a lateral resolution of 20 nm. Another, recently introduced super-resolution method is expansion microscopy (ExM) which physically expands the sample to increase the resolution by the expansion factor from four to even twenty. To enable this, the sample is embedded into a hydrogel, homogenized using an unspecific proteinase and expanded in distilled water. Within this thesis, both methods were used to shed light on plasma membrane receptor distributions and different bacterial and fungal pathogens. In the first part of this thesis dSTORM was used to elucidate the “Receptome”, the entirety of all membrane receptors, of the cell line Jurkat T-cells and primary T-cells. Within this project we could successfully visualize and quantify the distribution of the plasma membrane receptors CD2, CD3, CD4, CD5, CD7, CD11a, CD20, CD28, CD45, CD69 and CD105 with receptor densities ranging from 0.8 cluster/µm² in case of CD20 and 81.4 cluster/µm² for the highly abundant CD45 in activated primary T-cells at the basal membrane. Hereby, we could also demonstrate a homogeneous distribution of most receptors, while only few were clustered. In the case of CD3-clusters were detected in Jurkat T-cells and in primary activated T-cells, but not in naïve ones, demonstrating the activation of this receptor. This was followed by the application of dSTORM to three different clinical projects involving the receptors CD38, BCMA and CD20 which are immunotherapeutic targets by monoclonal antibodies and CAR T-cells. In the first two projects dSTORM was applied to determine the receptor upregulation upon exposure of various drugs to MM1.S cells or primary multiple myeloma patient cells. This increase in membrane receptor expression can subsequently enhance the efficacy of therapies directed against these receptors. Within the CD20-project, the superior sensitivity of dSTORM compared to flow cytometry could be demonstrated. Hereby, a substantially higher fraction of CD20-positive patient cells was detected by dSTORM than by flow cytometry. In addition, we could show that by dSTORM CD20-positive evaluated cells were eradicated by immunotherapeutic CAR T-cell treatment. These studies were followed by whole cell super-resolution imaging using both LLS-3D dSTORM and 10x ExM to exclude any artifacts caused by interactions with the glass surface. In 10x ExM signal amplification via biotinylated primary antibodies and streptavidin ATTO 643 was essential to detect even single antibodies directed against the heterodimer CD11a with standard confocal microscopes. Albeit probably not quantitative due to the process of gelation, digestion and expansion during the ExM protocol, even some putative dimers of the receptor CD2 could be visualized using 10x ExM-SIM, similar to dSTORM experiments. Within the second part of this thesis, expansion microscopy was established in bacterial and fungal pathogens. ExM enabled not only an isotropic fourfold expansion of Chlamydia trachomatis, but also allowed the discrimination between the two developmental forms by the chlamydial size after expansion into reticulate and elementary bodies. Hereafter, a new α-NH2-ω-N3-C6-ceramide was introduced enabling an efficient fixation and for the first time the use of lipids in both, 4x and 10x ExM, termed sphingolipid ExM. This compound was used to investigate the ceramide uptake and incorporation into the cell membrane of Chlamydia trachomatis and Simkania negevensis. For Chlamydia trachomatis the combined resolution power of 10x ExM and SIM even allowed the visualization of both bacterial membranes within a distance of ~30 nm. Finally, ExM was applied to the three different fungi Ustilago maydis, Fusarium oxysporum and Aspergillus fumigatus after enzymatic removal of the fungal cell wall. In case of Ustilago maydis sporidia this digestion could be applied to both, living cells resulting in protoplasts and to fixed cells, preserving the fungal morphology. This new protocol could be demonstrated for immunostainings and fluorescent proteins of the three different fungi.