@phdthesis{Becht2022,
  author    = {Becht, Alexander Ulrich},
  title     = {New applications for spectroscopic and chemometric studies of drugs},
  doi       = {10.25972/OPUS-27534},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-275342},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Spectroscopic methods were established decades ago in a wide variety of fields. This also applies to the pharmaceutical field, although they initially were mostly used for identity testing or structure elucidation only. Technical developments, such as miniaturization (NMR benchtop devices), Fourier transformations (for NMR, MIR spectroscopy) or the combination with chemometric evaluation (e.g., in Process Analytical Technology, PAT), have further increased their importance and opened up new applications. The aim of this work was to investigate further new approaches and to find new applications for already established methods and to show their benefits. By means of MIR, NIR and NMR data and their chemometric evaluation (principal component analysis, PCA; hierarchical cluster analysis, HCA; linear discriminant analysis, LDA), possibilities were presented to successfully determine the manufacturer or the pharmaceutical company of various paracetamol preparations. In the course of this, various similarities and correlations between the preparations of individual companies could also be identified. For this purpose, a suitable sample preparation was developed for each spectroscopic method, and suitable measurement parameters in order to obtain reproducible spectra for the chemometric evaluation were determined. Furthermore, the results of the two unsupervised methods (HCA, PCA) were compared with each other. The HCA was able to confirm those of the PCA for the very most part. Additionally, through these methods it was possible to characterize many of the preparations based on clusters formed by comparable tablet compositions. In order to be able to measure unmortared, whole tablets using the NIR spectrometer, an attachment was developed and manufactured using 3D printing. Its functionality was demonstrated by measuring and analyzing the tablets of two different batches of nine paracetamol preparations. The batches were clearly distinguished on the basis of a PCA and a significant difference was also demonstrated by means of statistical tests. For NMR spectroscopy, a method was developed to obtain optimized "fingerprint" spectra of drug formulations. For this purpose, a 1D DOSY measurement was elaborated, in which the signals of the active ingredient could be filtered out by the appropriate choice of measurement parameters. The chemometric evaluation can thus focus on the remaining signals of the excipients, on the basis of which the preparations of the same API can be distinguished. Especially in the case of formulations that consist largely of active ingredient, data pre processing of the spectra can thus be simplified and greater importance can be assigned to the originally very small excipient signals. A quantitative 1H NMR method was developed for the comparison of a high field spectrometer (400 MHz) with a benchtop spectrometer (80 MHz) for two finished drugs. It was shown that it is possible to obtain comparable results with both instruments, but that the influence of the excipients on the signals and the lower resolution of the benchtop instrument must be taken into account. Therefore, it was not possible to obtain comparable results without further optimization of the method for one of the active ingredients. In the investigation of various reactions between APIs and excipients using DOSY, its usefulness as a screening method in stability testing was demonstrated. For this purpose, three different APIs and excipients were stressed together and the reaction mixtures were subsequently measured using DOSY. Based on the translational diffusion coefficient, the reaction products could be identified and distinguished from the active ingredients and the excipients used. The importance of thoughtful processing could also be demonstrated. If all peak heights are selected when evaluating signals split by direct spin spin coupling, this allows the detection of hidden signals as long as not all signals have the same diffusion coefficient. The selective selection of individual peak heights in the case of split signals also enables the evaluation of signals that overlap slightly. However, the limitations of this method were also shown when two signals overlap too much and differ too little in their diffusion coefficients. Hence, it has been successfully demonstrated in the various projects that the new chemometric approaches, as well as the new applications of already established methods, enable in depth findings and thus have a clear added value.},
  subject      = {Instrumentelle Analytik},
  language  = {en}
}
@phdthesis{Kopf2018,
  author    = {Kopf, Juliane},
  title     = {Emotion processing and working memory deficits in Bipolar Disorder: interactions and changes from acute to remitted state},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-97752},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2018},
  abstract  = {BD is a severe and highly prevalent psychiatric illness characterized by oscillating mood episodes, where patients express either depressed mood, anhedonia, decreased activation along with concentration difficulties and sleep disturbances, or elevated mood with hyperactivity and loss of inhibitions. Between mood episodes, patients return to a relatively normal state of functioning without mood symptoms. Previous research on underlying neuronal mechanisms has led to a model of neuronal dysfunction in BD which states that BD arises from disruption in early development within brain networks that modulate emotional behavior. These abnormalities in the structure and function of key emotional control networks then lead to decreased connectivity among ventral prefrontal networks and limbic brain regions. This in turn creates a loss of emotional homeostasis, putting bipolar patients at risk for developing extreme mood states and switching among mood states. Two core components for BD have been identified, a hyperactive emotion processing system and a hypoactive cognitive functions system. It is controversial whether these deficits are still detectable in euthymia, so it is unclear if hyper- and hypoactivations represent state or trait-like characteristics. The aim of this study was to research both core components of BD with a paradigm eliciting differential activations in both cognitive and emotion processing networks. For this, an emotional word working memory paradigm was constructed to test for differences between manic, depressive, and remitted patients as well as a healthy control group. Differences were assessed in behavior, brain activation (as a correlate for the hypoactive cognitive functions system), measured with near-infrared spectroscopy (fNIRS), and electrophysiological changes in the late positive potential (as a correlate for the hyperactive emotion processing system), an event-related potential (ERP) measured with electroencephalography. 47 patients in the acutely ill phase and 45 healthy controls were measured. Of the 47 patients, 18 returned to the clinic for a second testing while in remission for at least 3 months. Acutely ill patients were classified into 4 groups according to their disorder status: a mildly depressed group, a depressed group, a manic group, and a mixed group along DSM-IV criteria. Analyses were calculated for 3 load conditions (1-back, 2-back and 3-back) and 3 valence conditions (negative, neutral, positive) for behavioral measures reaction time and omission errors, for brain activation and event related potential changes. Results indicate that ill patients differed from controls in their behavioral performance, but the difference in performance was modulated by the mood state they were in. Depressed patients showed the most severe differences in all behavioral measures, while manic and mixed patients differed from controls only upon different valence conditions. Brain activation changes were most pronounced in mildly depressed and manic patients, depressed patients and mixed patients did not differ as much from controls. ERP changes showed a significant difference only between mixed patients and controls, where mixed patients had an overall much higher ERP amplitude. When remitted patients were compared to controls, no differences in behavior, brain activation or ERP amplitude could be found. However, the same was true for differences in patients between acutely ill and remitted state. When looking at the overall data, the following conclusion can be drawn: assuming that the brain activation seen in the prefrontal cortex is part of the dorsal cognitive system, then this is the predominantly disturbed system in depressed patients who show only small changes in the ERP. In contrast, the predominantly disturbed system in manic and mixed patients is the ventral emotion processing system, which can be seen in a hyper-activation of ERP related neural correlates in mixed and hypo-activated neural correlates of the LPP in manic patients. When patients are remitted, the cognitive system regains temporary stability, and can be compared to that of healthy controls, while the emotion processing system remains dysfunctional and underlies still detectable performance deficits.},
  subject      = {Manisch-depressive Krankheit},
  language  = {en}
}
@phdthesis{Tupak2013,
  author    = {Tupak, Sara},
  title     = {Modulators of Prefrontal Fear Network Function: An Integrative View},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-85673},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2013},
  abstract  = {Regulating our immediate feelings, needs, and urges is a task that we are faced with every day in our lives. The effective regulation of our emotions enables us to adapt to society, to deal with our environment, and to achieve long-term goals. Deficient emotion regulation, in contrast, is a common characteristic of many psychiatric and neurological conditions. Particularly anxiety disorders and subclinical states of increased anxiety are characterized by a range of behavioral, autonomic, and neural alterations impeding the efficient down-regulation of acute fear. Established fear network models propose a downstream prefrontal-amygdala circuit for the control of fear reactions but recent research has shown that there are a range of factors acting on this network. The specific prefrontal cortical networks involved in effective regulation and potential mediators and modulators are still a subject of ongoing research in both the animal and human model. The present research focused on the particular role of different prefrontal cortical regions during the processing of fear-relevant stimuli in healthy subjects. It is based on four studies, three of them investigating a different potential modulator of prefrontal top-down function and one directly challenging prefrontal regulatory processes. Summarizing the results of all four studies, it was shown that prefrontal functioning is linked to individual differences in state anxiety, autonomic flexibility, and genetic predisposition. The T risk allele of the neuropeptide S receptor gene, a recently suggested candidate gene for pathologically elevated anxiety, for instance, was associated with decreased prefrontal cortex activation to particularly fear-relevant stimuli. Furthermore, the way of processing has been found to crucially determine if regulatory processes are engaged at all and it was shown that anxious individuals display generally reduced prefrontal activation but may engage in regulatory processes earlier than non-anxious subjects. However, active manipulation of prefrontal functioning in healthy subjects did not lead to the typical behavioral and neural patterns observed in anxiety disorder patients suggesting that other subcortical or prefrontal structures can compensate for an activation loss in one specific region. Taken together, the current studies support prevailing theories of the central role of the prefrontal cortex for regulatory processes in response to fear-eliciting stimuli but point out that there are a range of both individual differences and peculiarities in experimental design that impact on or may even mask potential effects in neuroimaging research on fear regulation.},
  subject      = {Neurogenetik},
  language  = {en}
}
@phdthesis{Plichta2009,
  author    = {Plichta, Michael M.},
  title     = {Neural correlates of delay discounting: Effects of dopamine bioavailability and implications for attention-deficit/hyperactivity disorder (ADHD)},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-35953},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2009},
  abstract  = {Humans and other animals share choice preference for smaller-but-sooner over later-but-larger rewards, indicating that the subjective value of a reward is discounted as a function of time. This phenomenon referred to as delay discounting (DD), represents one facet of impulsivity which is inherently connected with reward processing and, within a certain range, adaptive. Maladaptive levels, however, can lead to suboptimal decision-making and represent important characteristics of psychopathologies such as attention-deficit/hyperactivity disorder (ADHD). In line with a proposed influence of dysregulated dopamine (DA) levels on impulsivity, neural structures involved in DD (the ventral-striatum [VS]; orbitofrontal cortex [OFC]) are highly innervated by dopaminergic neurons. However, studies explicitly testing the triadic interplay of dopaminergic neurotransmission, impulsivity and brain activation during intertemporal choice are missing. Therefore, the first study of the thesis examined the effect of different DA-bioavailability levels, indicated by a genetic polymorphism (Val158Met) in the gene of the catechol-O-methyltransferase, on the association of delay discounting and OFC activation. OFC response to monetary rewards that varied by delay-to-delivery was recorded with functional near-infrared spectroscopy (fNIRS) in a sample of 49 healthy human subjects. The results suggest a DA-related enhancement in OFC function from low (low DA level) to partial (intermediate DA level) and full (high DA level) reward delay sensitivity. Furthermore, DA-bioavailability was shown to moderate the association of neural reward delay sensitivity and impulsivity: OFC reward delay sensitivity was strongly correlated with impulsivity at intermediate DA-levels, but not at low or high DA-levels where impulsivity was related to delay-independent OFC amplitudes. It is concluded that DA-level should be considered as a crucial factor whenever impulsivity-related brain activation, in particular to reward delay, is examined in healthy subjects. Dysfunctional reward processing, accompanied by a limited ability to tolerate reward delays (delay aversion), has been proposed as an important feature in ADHD putatively caused by striatal hypo-dopaminergia. Therefore, the aim of the second study of this thesis was to examine subcortical processing of reward delays and to test for neural indicators of a negative emotional response to delay periods. Using functional magnetic resonance imaging (fMRI), brain activation in adult patients with ADHD (n=14) and healthy control subjects (n=12) was recorded during the processing of immediate and delayed rewards. Compared with healthy control subjects, hyporesponsiveness of the VS reward system was evident in patients with ADHD for both immediate and delayed rewards. In contrast, delayed rewards evoked hyperactivation in the dorsal caudate nucleus and the amygdala of ADHD patients, corroborating the central predictions of the delay aversion hypothesis. In combination both studies support the conception of a close link between delay discounting, brain activation and dopaminergic neurotransmission. The results implicate that studies on neural correlates of DD have to account for the DA-bioavailability level and for a negative emotional response to reward delays.},
  subject      = {Impulsivit{\"a}t},
  language  = {en}
}