HINTERGRUND/ ZIELSETZUNG: Vom idiopathischen Parkinsonsyndrom (IPS) können so genannte „atypische“ Parkinsonsyndrome (APS) mit einem Anteil von ca. 20% bezogen auf die Gesamtinzidenz unterschieden werden. Neben zusätzlichen Krankheitssymptomen und einem progredienteren Verlauf zeichnen sie sich durch eine schlechtere Prognose aus, die häufig auf einem Nichtansprechen auf eine dopaminerge Therapie beruht. Eine frühzeitige, korrekte Diagnose ist daher sehr entscheidend, aber im Einzelfall auch für Spezialisten äußerst schwierig. Trotz anerkannter klinischer Diagnosekriterien gibt es besonders im Frühstadium eine hohe Rate an Fehldiagnosen. Das zur Zeit vorherrschende Verfahren in der bildgebenden Diagnostik ist die Magnetresonanztomographie, wobei die konventionelle, qualitative MRT bislang keine zufriedenstellenden Ergebnisse bezüglich ihrer Spezifität und Sensitivität gezeigt hat. Die vorliegende Arbeit untersucht in einer direkten Vergleichsstudie das differenzialdiagnostische Potential der sogenannten „erweiterten“ quantitativen MRT-Verfahren. MATERIAL UND METHODEN: Ein Gesamtkollektiv von insgesamt 44 Probanden (IPS/ APS/ gesunde Kontrollen) durchlief ein umfassendes quantitatives MRT- Protokoll (R1/R2(*)-, DTI-, MTR- Mapping) um in manuell bilateral markierten, definierten Regionen (ROIs) in den Basalganglienkernen quantitative Parameter zu erheben. ERGEBNISSE: Die beste hochsignifikante Trennung der MSA-P- Patienten sowohl von IPS- Patienten (p = 0,001) als auch von Kontrollen (p = 0,004) konnte anhand des R2 * - Mappings im Putamen erreicht werden. Es zeigte sich eine Vorhersagekraft AUC von > / = 0,96 mit einer Sensitivität von 77,8 % (bei einer Spezifität von 100 %). Dies bestätigt die große Bedeutung der Eisensensitivität des R2*-Mappings bei der Identifizierung von MSA-P- Patienten. Auch anhand des MTR-Mappings konnte eine MSA-P anhand der putaminalen (p = 0,005) und nigralen (p = 0,003) Signalveränderungen signifikant vorhergesagt werden. Die beste signifikante Abgrenzung der PSP- Patienten von den Kontrollen gelang anhand der DTI- Messungen in der Substantia nigra (p = 0,001) sowie im Globus pallidus (p = 0,004). Für die diagnostische Vorhersage eines IPS konnten keine nutzbaren Signalunterschiede festgestellt werden. Insbesondere in der Substantia nigra zeigten sich gegenüber Kontrollen keine signifikanten Gruppenunterschiede. FAZIT: Unter den angewandten MRT- Verfahren zeigt das R2*-Mapping die beste Vorhersagekraft zur Differenzierung der MSA von IPS- Patienten und das DTI- Mapping zur Identifizierung der PSP- Patienten. Das Besondere unseres Arbeitsansatzes war, im Gegensatz zu vorherigen Studien, die Durchführung der Untersuchung an nur einer Kohorte. Dadurch konnte die Güte der verschiedenen MRT-Verfahren direkt und quantitativ miteinander verglichen werden. Insgesamt unterstreichen die Erkenntnisse dieser Arbeit den Stellenwert und die mögliche klinische Relevanz der quantitativen MRT, insbesondere bei der Identifizierung atypischer Parkinsonsyndrome.

Spike timing-dependent plasticity (STDP) has been suggested as one of the key mechanism underlying learning and memory. Due to its importance, timing-dependent plasticity studies have been approached in the living human brain by means of non-invasive brain stimulation (NIBS) protocols such as paired associative stimulation (PAS). However, contrary to STDP studies at a cellular level, functional plasticity induction in the human brain implies the interaction among target cortical networks and investigates plasticity mechanisms at a systems level. This thesis comprises of two independent studies that aim at understanding the importance of considering broad cortical networks when predicting the outcome of timing-dependent associative plasticity induction in the human brain. In the first study we developed a new protocol (ipsilateral PAS (ipsiPAS)) that required timing- and regional-specific information transfer across hemispheres for the induction of timing-dependent plasticity within M1 (see chapter 3). In the second study, we tested the influence of individual brain structure, as measured with voxel-based cortical thickness, on a standard PAS protocol (see chapter 4). In summary, we observed that the near-synchronous associativity taking place within M1 is not the only determinant influencing the outcome of PAS protocols. Rather, the online interaction of the cortical networks integrating information during a PAS intervention determines the outcome of the pairing of inputs in M1.

Recently, we have described the synthesis of chiral metal–organic frameworks iPr-ChirUMCM-1 and Bn-ChirUMCM-1 and their use in enantioselective separation. Here, we demonstrate for the first time the use of a chiral solvating agent (1-phenyl-2,2,2-trifluoroethanol, TFPE) for chiral recognition in iPr-ChirUMCM-1 and Bn-ChirUMCM-1 by means of solid-state13C NMR spectroscopy. / Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.

To fully understand how the brain works, it is necessary to relate the brain’s function to its anatomy. Cortical anatomy is subject-specific. It is character- ized by the thickness and number of intracortical layers, which differ from one cortical area to the next. Each cortical area fulfills a certain function. With magnetic res- onance imaging (MRI) it is possible to study structure and function in-vivo within the same subject. The resolution of ultra-high field MRI at 7T allows to resolve intracortical anatomy. This opens the possibility to relate cortical function of a sub- ject to its corresponding individual structural area, which is one of the main goals of neuroimaging. To parcellate the cortex based on its intracortical structure in-vivo, firstly, im- ages have to be quantitative and homogeneous so that they can be processed fully- automatically. Moreover, the resolution has to be high enough to resolve intracortical layers. Therefore, the in-vivo MR images acquired for this work are quantitative T1 maps at 0.5 mm isotropic resolution. Secondly, computational tools are needed to analyze the cortex observer-independ- ently. The most recent tools designed for this task are presented in this thesis. They comprise the segmentation of the cortex, and the construction of a novel equi-volume coordinate system of cortical depth. The equi-volume model is not restricted to in- vivo data, but is used on ultra-high resolution post-mortem data from MRI as well. It could also be used on 3D volumes reconstructed from 2D histological stains. An equi-volume coordinate system yields firstly intracortical surfaces that follow anatomical layers all along the cortex, even within areas that are severely folded where previous models fail. MR intensities can be mapped onto these equi-volume surfaces to identify the location and size of some structural areas. Surfaces com- puted with previous coordinate systems are shown to cross into different anatomical layers, and therefore also show artefactual patterns. Secondly, with the coordinate system one can compute cortical traverses perpendicularly to the intracortical sur- faces. Sampling intensities along equi-volume traverses results in cortical profiles that reflect an anatomical layer pattern, which is specific to every structural area. It is shown that profiles constructed with previous coordinate systems of cortical depth disguise the anatomical layer pattern or even show a wrong pattern. In contrast to equi-volume profiles these profiles from previous models are not suited to analyze the cortex observer-independently, and hence can not be used for automatic delineations of cortical areas. Equi-volume profiles from four different structural areas are presented. These pro- files show area-specific shapes that are to a certain degree preserved across subjects. Finally, the profiles are used to classify primary areas observer-independently.

Background Novel theranostic options for high-risk non-muscle invasive bladder cancer are urgently needed. This requires a thorough evaluation of experimental approaches in animal models best possibly reflecting human disease before entering clinical studies. Although several bladder cancer xenograft models were used in the literature, the establishment of an orthotopic bladder cancer model in mice remains challenging. Methods Luciferase-transduced UM-UC-3LUCK1 bladder cancer cells were instilled transurethrally via 24G permanent venous catheters into athymic NMRI and BALB/c nude mice as well as into SCID-beige mice. Besides the mouse strain, the pretreatment of the bladder wall (trypsin or poly-L-lysine), tumor cell count (0.5 × 106–5.0 × 106) and tumor cell dwell time in the murine bladder (30 min – 2 h) were varied. Tumors were morphologically and functionally visualized using bioluminescence imaging (BLI), magnetic resonance imaging (MRI), and positron emission tomography (PET). Results Immunodeficiency of the mouse strains was the most important factor influencing cancer cell engraftment, whereas modifying cell count and instillation time allowed fine-tuning of the BLI signal start and duration – both representing the possible treatment period for the evaluation of new therapeutics. Best orthotopic tumor growth was achieved by transurethral instillation of 1.0 × 106 UM-UC-3LUCK1 bladder cancer cells into SCID-beige mice for 2 h after bladder pretreatment with poly-L-lysine. A pilot PET experiment using 68Ga-cetuximab as transurethrally administered radiotracer revealed functional expression of epidermal growth factor receptor as representative molecular characteristic of engrafted cancer cells in the bladder. Conclusions With the optimized protocol in SCID-beige mice an applicable and reliable model of high-risk non-muscle invasive bladder cancer for the development of novel theranostic approaches was established.

A number of studies have concluded that cognitive control is not fully established until late adolescence. The precise differences in brain function between adults and adolescents with respect to cognitive control, however, remain unclear. To address this issue, we conducted a study in which 185 adolescents (mean age (SD) 14.6 (0.3) years) and 28 adults (mean age (SD) 25.2 (6.3) years) performed a single task that included both a stimulus-response (S-R) interference component and a task-switching component. Behavioural responses (i.e. reaction time, RT; error rate, ER) and brain activity during correct, error and post-error trials, detected by functional magnetic resonance imaging (fMRI), were measured. Behaviourally, RT and ER were significantly higher in incongruent than in congruent trials and in switch than in repeat trials. The two groups did not differ in RT during correct trials, but adolescents had a significantly higher ER than adults. In line with similar RTs, brain responses during correct trials did not differ between groups, indicating that adolescents and adults engage the same cognitive control network to successfully overcome S-R interference or task switches. Interestingly, adolescents with stronger brain activation in the bilateral insulae during error trials and in fronto-parietal regions of the cognitive control network during post-error trials did have lower ERs. This indicates that those mid-adolescents who commit fewer errors are better at monitoring their performance, and after detecting errors are more capable of flexibly allocating further cognitive control resources. Although we did not detect a convincing neural correlate of the observed behavioural differences between adolescents and adults, the revealed interindividual differences in adolescents might at least in part be due to brain development.

Background Novel theranostic options for high-risk non-muscle invasive bladder cancer are urgently needed. This requires a thorough evaluation of experimental approaches in animal models best possibly reflecting human disease before entering clinical studies. Although several bladder cancer xenograft models were used in the literature, the establishment of an orthotopic bladder cancer model in mice remains challenging. Methods Luciferase-transduced UM-UC-3LUCK1 bladder cancer cells were instilled transurethrally via 24G permanent venous catheters into athymic NMRI and BALB/c nude mice as well as into SCID-beige mice. Besides the mouse strain, the pretreatment of the bladder wall (trypsin or poly-L-lysine), tumor cell count (0.5 × 106–5.0 × 106) and tumor cell dwell time in the murine bladder (30 min – 2 h) were varied. Tumors were morphologically and functionally visualized using bioluminescence imaging (BLI), magnetic resonance imaging (MRI), and positron emission tomography (PET). Results Immunodeficiency of the mouse strains was the most important factor influencing cancer cell engraftment, whereas modifying cell count and instillation time allowed fine-tuning of the BLI signal start and duration – both representing the possible treatment period for the evaluation of new therapeutics. Best orthotopic tumor growth was achieved by transurethral instillation of 1.0 × 106 UM-UC-3LUCK1 bladder cancer cells into SCID-beige mice for 2 h after bladder pretreatment with poly-L-lysine. A pilot PET experiment using 68Ga-cetuximab as transurethrally administered radiotracer revealed functional expression of epidermal growth factor receptor as representative molecular characteristic of engrafted cancer cells in the bladder. Conclusions With the optimized protocol in SCID-beige mice an applicable and reliable model of high-risk non-muscle invasive bladder cancer for the development of novel theranostic approaches was established.

Recently, we have described the synthesis of chiral metal–organic frameworks iPr-ChirUMCM-1 and Bn-ChirUMCM-1 and their use in enantioselective separation. Here, we demonstrate for the first time the use of a chiral solvating agent (1-phenyl-2,2,2-trifluoroethanol, TFPE) for chiral recognition in iPr-ChirUMCM-1 and Bn-ChirUMCM-1 by means of solid-state13C NMR spectroscopy. / Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.

Theory of Mind (ToM) is the ability to infer others’ mental states and thus to predict their behavior (Perner, 1991). Therefore, ToM is essential for the adequate adjustment of behavior in social situations. ToM can be divided into: 1) cognitive ToM encompassing inferences about intentions and beliefs and 2) affective ToM encompassing inferences about emotions (Shamay-Tsoory, Harari, Aharon-Peretz, & Levkovitz, 2010). Well-functioning skills of both ToM aspects are much-needed in the developmental period of adolescence because in this age phase peer relationships become more important and romantic relationships arise (Steinberg & Morris, 2001). Importantly, affective psychopathological disorders often have their onset in adolescence. ToM development in adolescence might be based on underlying cognitive mechanisms such as the ability to inhibit one’s own thoughts in order to understand another person’s thoughts (Carlson & Moses, 2001). Another possible mechanism relates to functional brain development across adolescence (Blakemore, 2008). Therefore, neurocognitive mechanisms may underlie ongoing ToM development in adolescence. First studies indicate an ongoing behavioral and functional brain development of ToM (e.g. Blakemore, 2008). However, ToM development in adolescence and how this might relate to underlying (neuro)cognitive functions remains largely underexamined. The major aims of the current thesis were first to answer the overall question whether there is an ongoing development of ToM in adolescence. This question relates to both behavioral and functional brain development. As a second major aim, the present work sought to elucidate possible (neuro)cognitive mechanisms of ongoing ToM development across adolescence. Specifically, these cognitive mechanisms might be basic cognitive functions as well as executive functions. Additionally, the present work aimed at exploring potential (neuro)cognitive mechanisms through an integration of both behavioral and functional brain studies. The current experimental work spans three cross-sectional studies investigating adolescents (aged around 12-15 years) and young adults (aged around 18-22 years) to examine for the first time both the behavioral (studies I and II) and functional brain development of ToM (study III) in adolescence and its underlying (neuro)cognitive mechanisms. In all three studies, more complex, advanced ToM tasks were employed to avoid ceiling effects. Study I was aimed at investigating if cognitive and affective ToM continues to develop in adolescence and at exploring if basic cognitive variables such as verbal ability, speed of processing, and working memory capacity underlie such development. Hence, two groups of adolescents and young adults completed tasks of ToM and basic cognitive abilities. Large age effects were revealed on both measures of ToM: adolescents performed lower than adults. These age differences remained significant after controlling for basic cognitive variables. However, verbal ability covaried with performance in affective ToM. Overall, results support the hypothesis of an ongoing development of ToM from adolescence to adulthood on both cognitive and affective aspects. Results may further indicate verbal ability being a basic cognitive mechanism of affective ToM. Study II was designed to further explore if affective ToM, as measured with a dynamic realistic task, continues to develop across adolescence. Importantly, this study sought to explore executive functions as higher cognitive mechanisms of developing affective ToM across adolescence. A large group spanning adolescents and young adults evaluated affective mental states depicted by actors in video clips. Additionally, participants were examined with three subcomponents of executive functions, inhibition, updating, and shifting following the classification of Miyake et al. (2000). Affective ToM performance was positively related to age and all three executive functions. Specifically, inhibition explained the largest amount of variance in age related differences of affective ToM performance. Overall, these results indicate the importance of inhibition as key underlying mechanism of developing an advanced affective ToM in adolescence. Study III set out to explore the functional brain development of affective ToM in adolescence by using functional magnetic resonance imaging (fMRI). The affective ToM measure was the behavioral developmentally sensitive task from study II. An additional control condition consisted of the same emotional stimuli with the instruction to focus on physical information. This study faced methodical challenges of developmental fMRI studies by matching performance of groups. The ventromedial prefrontal cortex (vMPFC) was significantly less deactivated in adolescents in comparison to adults, which might suggest that adolescents seem to rely more on self-referential processes for affective ToM. Furthermore, adolescents compared to adults showed greater activation in the dorsolateral prefrontal cortex (DLPFC) in the control condition, indicating that adolescents might be distracted by the emotional content and therefore needed to focus more on the physical content of the stimulus. These findings suggest affective ToM continues to develop on the functional brain level and reveals different underlying neurocognitive strategies for adolescents in contrast to adults. In summary, the current thesis investigated whether ToM continues to develop in adolescence until young adulthood and explored underlying (neuro)cognitive mechanisms. Findings suggest that there is indeed an ongoing development of both the cognitive and affective aspect of ToM, which importantly contributes to the conceptual debate. Moreover, the second benefit to the debate is to demonstrate how this change may occur. As a basic cognitive mechanism verbal ability and as an executive functioning mechanism inhibition was revealed. Furthermore, neurocognitive mechanisms in form of different underlying neurocognitive strategies of adolescents compared to adults were shown. Taken together, ToM development in adolescence seems to mirror a different adaptive cognitive style in adolescence (Crone & Dahl, 2012). This seems to be important for solving the wealth of socio-emotional developmental tasks that are relevant for this age span.:Abstract 1 1 General Introduction 4 1.1 Concept of ToM: cognitive and affective aspects 7 1.2 ToM Development 8 1.2.1 ToM Development until Adolescence 9 1.2.2 ToM Development in Adolescence 12 1.3 Cognitive Mechanisms 14 1.3.1 Basic Cognitive Functions 15 1.3.2 Executive Functions 17 1.4 Neurocognitive Mechanisms 19 1.4.1 Functional brain development of ToM 20 1.4.2 Integrating behavioral and functional brain studies 21 2 Outline and Central Questions 24 2.1 Does ToM continue to develop in adolescence? 24 2.1.1 Does ToM continue to develop on the behavioral level? 24 2.1.2 Does ToM continue to develop on the level of brain function? 25 2.2 What are (neuro)cognitive mechanisms of ToM development in adolescence? 26 2.2.1 What are basic cognitive and executive functioning mechanisms? 26 2.2.2 Can mechanisms be concluded from the integration of behavioral data and functional brain processes? 26 3 Study I – ToM Development in Adolescence and its Basic Cognitive Mechanisms 28 3.1 Introduction 28 3.2 Method 32 3.2.1 Participants 32 3.2.2 Materials 33 3.3 Results 36 3.3.1 Age Effects 36 3.3.2 Influence of puberty on social cognition 37 3.3.3 Controlling for Basic Cognitive Abilities 39 3.4 Discussion 40 3.4.1 Overview 40 3.4.2 Age differences in social cognition 40 3.4.3 Influence of puberty on social cognition 42 3.4.4 Covariates of age differences in social cognition 42 3.4.5 Conclusions 43 4 Study II – ToM Development in Adolescence and its Executive Functioning Mechanisms 45 4.1 Introduction 45 4.2 Method 49 4.2.1 Participants 49 4.2.2 Materials 49 4.3 Results 52 4.3.1 Decomposing the Age Effect in Affective Theory of Mind 54 4.4 Discussion 55 4.4.1 Overview 55 4.4.2 Conclusions 57 5 Study III – ToM Development in Adolescence and its Neurocognitive Mechanisms 59 5.1 Introduction 59 5.2 Method 61 5.2.1 Participants 61 5.2.2 Stimuli, design and procedure 62 5.2.3 Statistical analysis of behavioral data 65 5.2.4 Functional imaging 65 5.2.5 Statistical analysis of fMRI data 66 5.3 Results 67 5.3.1 Behavioral results 67 5.3.2 fMRI results 68 5.4 Discussion 71 5.4.1 Developmental differences in brain activations 71 5.4.2 Conclusions 74 6 General Discussion 75 6.1 Summary of empirical findings 75 6.2 Discussion and integration of the main empirical findings 76 6.2.1 Continued ToM development in adolescence 76 6.2.2 (Neuro)cognitive mechanisms of ToM development in adolescence 80 6.3 Implications and outlook 89 6.3.1 Current findings and their conceptual fit to present models of ToM 90 6.3.2 Underpinning the concept of cognitive and affective ToM 91 6.3.3 Conceptual and methodical implications of performance matching 92 6.3.4 The role of puberty on ToM 94 6.3.5 Predicting other’s economic behavior 95 6.3.6 Structural brain development 96 6.3.7 Applied perspective 97 6.4 Summary 98 References 99

Spike timing-dependent plasticity (STDP) has been suggested as one of the key mechanism underlying learning and memory. Due to its importance, timing-dependent plasticity studies have been approached in the living human brain by means of non-invasive brain stimulation (NIBS) protocols such as paired associative stimulation (PAS). However, contrary to STDP studies at a cellular level, functional plasticity induction in the human brain implies the interaction among target cortical networks and investigates plasticity mechanisms at a systems level. This thesis comprises of two independent studies that aim at understanding the importance of considering broad cortical networks when predicting the outcome of timing-dependent associative plasticity induction in the human brain. In the first study we developed a new protocol (ipsilateral PAS (ipsiPAS)) that required timing- and regional-specific information transfer across hemispheres for the induction of timing-dependent plasticity within M1 (see chapter 3). In the second study, we tested the influence of individual brain structure, as measured with voxel-based cortical thickness, on a standard PAS protocol (see chapter 4). In summary, we observed that the near-synchronous associativity taking place within M1 is not the only determinant influencing the outcome of PAS protocols. Rather, the online interaction of the cortical networks integrating information during a PAS intervention determines the outcome of the pairing of inputs in M1.