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The subject of this dissertation is the aesthetic and political significance of photography for Bertolt Brecht's theatrical work and writing. Since the investigation of the gestus concept from the perspective of the politics of images—which draws attention to the fact that every image has a memory, mostly a political one—photography stands out and reveals the precise moment of the interruption of the dramatic action and, thereby, holds a significant gestus. The dissertation highlights the importance of photography’s examination for Brecht, besides featuring the extent to which his theatre responded to and dealt with the technical condition of its own time. If a gestus is recognisable as an interruption, through the observation of the detail, two different gestus appear: the gestus of the scene and the gestus of the photograph. In other words, the actor and photographer produce a double gestus with different levels of interpretation. The comparison between such a static photo and the notion of interruption in Bertolt Brecht’s works opens new grounds in Brechtian studies, and even in more general theatre studies.
Role of npas4l and Hif pathway in endothelial cell specification and specialization in vertebrates
(2018)
Cardiovascular development requires two main steps, vasculogenesis and angiogenesis. During vasculogenesis, angioblasts, the precursors of endothelial cells (ECs), specify from the mesoderm and coalesce to form the axial vessels of the vertebrate embryo. Many questions regarding the transcriptional waves initiating and sustaining angioblast specification are still unanswered. The identity of cloche, a gene essential for EC differentiation in zebrafish, was only recently discovered by our group, and very little is known about its upstream regulators or its molecular mechanism of action. I described the molecular players involved in orchestrating npas4l expression, upstream of angioblast specification. By using genetic models and chemical treatments, I identified FGF-Erk axis and BMP signaling to be involved in npas4l regulation. I also showed that eomesa is a potent inducer of npas4l expression. In addition, in vitro experiments indicated that murine Eomes promotes EC specification, acting upstream of Etv2 and Tal1. Using a combination of gain-of-function and loss-of-function models for npas4l, I identified primary and secondary downstream effectors of npas4l. I showed that Npas4l binding sites are present in the promoter of genes involved in hematoendothelial specification, such as tal1, lmo2 and etv2. Importantly, I reported that npas4l is sufficient and necessary to promote the EC specification program. By performing a combined analysis of the developed datasets, I recovered putative genes with a potential role in EC specification. One of the most promising candidates was tspan18b. I generated a mutant allele for tspan18b and observed angiogenic defects in tspan18b-/- embryos, confirming a role for this gene in zebrafish cardiovascular development. I showed that Npas4l binds etv2 promoter in zebrafish. In mammalian embryonic stem cells, however, Etv2 promoter is bound by HIF-1α, a transcription factor homolog to Npas4l. Interestingly, Eomes knockdown in vitro lead to a significant reduction of Hif-1α expression. To test the function of Hif-1α in vivo, I took advantage of a murine loss-of-function model.
Hif-1α mouse mutant embryos exhibit a significant decrease in Etv2 expression, when compared with WT siblings. These data suggest a model where mammals lost npas4l during evolution and HIF-1α acquired a new function, replacing npas4l role in EC specification. I compared the phenotype of Hif-1α mouse mutant with zebrafish hif-1α loss-of- function models. Importantly, zebrafish hif-1α mutant did not show defects in vasculogenesis or EC specification, but in EC specialization, during HSC development. I showed that hypoxia is a potent inducer of HSC formation, and hif-1α as well as hif-2α act upstream of notch1, vegfaa and evi1 in hemogenic endothelial specification.
Conclusions
In this work, I explored the molecular mechanisms underlying EC specification in vertebrates, analyzing the role of bHLH-PAS transcription factors in this biological process. I identified the upstream regulators and the downstream effectors of npas4l, describing a novel role for tspan18b in zebrafish cardiovascular development. Npas4l is a transcription factor necessary and sufficient for angioblast differentiation in zebrafish, but the gene was lost in the mammalian lineage. hif-1α and hif-2α, paralogous genes of npas4l, are involved in the establishment of EC heterogeneity and specifically in the specification of hemogenic endothelium in zebrafish. Murine Hif-1α, however, is responsible for Etv2 regulation, indicating a role for hypoxia inducible factor in initiating the EC specification program in mouse, similarly to npas4l function in zebrafish.
Ausgangspunkt der Studie ist die These, dass sprachlich und kulturell heterogene Lerngruppen, an denen Studierende mit und ohne spanischsprachigen Familienhintergrund gemeinsam teilnehmen, als eine günstige Lernsituation betrachtet werden können. Voraussetzung dafür ist, dass die unterschiedlichen sprachlichen und kulturellen Gegebenheiten als Ressourcen für den Unterricht verstanden werden.
Mit dem Fokus auf Sprachveranstaltungen in Spanisch, die von Studierenden an der Johann Wolfgang Goethe-Universität Frankfurt am Main besucht werden, und die im Rahmen ihres Lehramtsstudiums im Fach Spanisch stattfinden, wurden in dieser Studie folgende Forschungsfragen verfolgt:
1. Wie entstehen und entwickeln sich Sprachlernprozesse in sprachlich und kulturell vielfältigen Lernkontexten?
2. Wie zeichnet sich das Lernen in sprachlich und kulturell vielfältigen Lernkontexten aus?
3. Welche sprachlichen und kulturellen Ressourcen können für die sprachliche und kulturelle Förderung genutzt und bewusst eingesetzt werden?
Wichtigste Forschungsergebnisse:
Es wurde festgestellt, dass Sprachlernprozesse bei Studierenden mit und ohne spanischsprachigen Familienhintergrund sowohl im kognitiven als auch im emotionalen Bereich qualitativ unterschiedlich verlaufen und, dass in sprachlich und kulturell vielfältigen Lernkontexten individuelle und überindividuelle Sprachlern-prozesse stattfinden, die einander bedingen.
Was das gemeinsame Lernen angeht, konnte festgestellt werden, dass Studierende ohne spanischsprachigen Familienhintergrund widersprüchliche Erwartungen an die Studierenden mit spanischsprachigem Familienhintergrund haben: Einerseits schätzen sie die Präsenz ihrer Kommilitonen und sehen sie als Mittler zwischen dem Unterricht und der Realität außerhalb des Unterrichts, weil sie die „echte“ Sprache und Kultur in den Klassenraum bringen. Anderseits fühlen sie sich durch ihre Anwesenheit im Unterricht verunsichert, was ihre sprachliche Entwicklung zum Teil hemmt. Bei den Studierenden mit spanischsprachigem Familienhintergrund konnten unterschiedliche Phasen in ihrem Sprachlernprozess beobachtet werden, die ihre Lernattitüde und ihre Haltung zu den Kommilitoninnen und Kommilitonen konditionieren.
Entscheidend für die Konstruktion gemeinsamer Sprachlernprozessen ist, dass die Studierenden ihre Positionierung als peer ihrer Kommilitoninnen und Kommilitonen bewusst wahrnehmen, was nicht immer der Fall ist. Auch die Bewusstwerdung der eigenen Funktion als Mittler zwischen Sprachen und Kulturen insbesondere (aber nicht nur) bei Studierenden mit spanischsprachigem Familienhintergrund soll im Unterricht durch die Reflexion über die eigene sprachliche und kulturelle Identität gefördert werden.
Im Umgang mit solchen Lerngruppen haben Dozentinnen und Dozenten unterschiedliche Erwartungen. In der Regel werden aber Lerninhalte vermittelt, die die sprachliche und kulturelle Vielfalt im Unterricht nicht berücksichtigen. Für die Leistungsbewertung beider Studierendengruppen werden oft unterschiedliche Kriterien angewendet, woraus Konflikte zwischen den Veranstaltungsteilnehmerinnen und -teilnehmern entstehen.
Die Rolle der Dozentinnen und Dozenten selbst ist in der Gestaltung gemeinsamer Lernkontexte, in denen die Interaktion der Studierenden gefördert werden, grundlegend. Damit dies gelingt, sollen sie einerseits für Mehrsprachigkeit als Phänomen der Gesellschaft, das den Sprachunterricht im besonderen Maße betrifft, sensibilisiert sein. Andererseits soll ihnen bewusst werden, dass das Sprachenlernen aus einer kognitiven und einer emotionalen Seite besteht, die in engem Zusammenhang mit mehrsprachigen und mehrkulturellen Identitätskonstruktionen stehen. Beide Seiten sollen im Unterricht gefördert werden.
Atmospheric nanoaerosols have extensive effects on the Earth’s climate and human health. This cumulative work focuses on the development and characterization of instrumentation for measuring various parameters of atmospheric nanoaerosols, and its use to understand new particle formation from organic precursors. The principal research question is, how the chemical composition of nanoaerosol particles can be measured and how atmospheric chemistry influences aerosol processes, especially new particle formation and growth. Therefore, nanoaerosols are investigated under various aspects. More specifically, an instrument is developed to analyze nanoparticles, and field as well as chamber studies are conducted.
The main project is the instrument development of the Thermal Desorption Differential Mobility Analyzer (TD-DMA, project 1, Wagner et al. (2018)). This instrument analyzes the chemical composition of small aerosol particles. By characterization and testing in chamber experiments, it is proven to be suitable for the analysis of freshly nucleated particles.
The second project (Wagner et al. (2017)) applies a broad spectrum of aerosol measurement instruments for the characterization of aerosol particles produced by a skyscraper blasting. A comprehensive picture of the particle population emitted by the demolition is obtained.
Project 3 (K¨urten et al. (2016)) is also an ambient aerosol measurement, focusing of new particle formation in a rural area in central Germany, and the ability of a negative nitrate CI-APi-TOF to detect various substances in atmosphere. Project 4 (Heinritzi et al. (2016)) is a characterization of the negative nitrate CI-APi-TOF used in projects 1, 3, 5, 6, 7 and 8. The following projects focus on understanding new particle formation from atmospherically abundant organic precursors. Key instruments comprise the negative nitrate CI-APiTOF for gas-phase measurements of the nucleating species, and various sizing and counting instruments for quantifying the particle formation and growth. Project 5 (Kirkby et al. (2016)) shows that biogenic organic compounds formed from alpha-pinene can nucleate on their own without the influence of e.g. sulfuric acid. Project 6 (Tr¨ostl et al. (2016)) describe the subsequent growth of these particles. Project 7 (Stolzenburg et al. (2018)) covers the temperature dependence of this growth and in project 8 (Heinritzi et al. (2018)), the suppressing influence of isoprene on the new particle formation is assessed.
Die Herzinsuffizienz im hohen Lebensalter spielt wegen der demografischen Entwicklung in Deutschland eine zunehmende Rolle im perioperativen Setting der Herzchirurgie. Auch nehmen strukturelle Schäden und Dysfunktionen am Herzen aufgrund von chronischen kardiovaskulären Erkrankungen zu. Diese bedürfen oftmals einer operativen Intervention als Therapie. Zum perioperativen Monitoring werden verschiedene Laborwerte herangezogen, um mögliche Komplikationen frühzeitig zu erkennen. In der vorliegenden Studie wurde das Augenmerk auf Hochrisikopatienten mit Herzinsuffizienz gelegt. Die Fragestellung behandelt, ob sich gewisse Entzündungsmarker bei Hochrisikopatienten, vor allem im hohen Lebensalter, bei verschiedenen Risikogruppen unterscheiden. Es handelt sich um eine prospektive Beobachtungsstudie, in der 94 Patienten perioperativ untersucht wurden. Diese wurden in zwei Gruppen mit jeweils 47 Patienten unterteilt. Die eine enthielt Patienten unter 75 Jahren mit einer linksventrikulären Ejektionsfraktion <35%, einer operationsbedürftigen Mehrklappen-Erkrankung oder einer Herzklappendysfunktion, kombiniert mit einer operationswürdigen koronaren Herzkrankheit. In der zweiten Gruppe wählte man Patienten in einem Alter ab 75 Jahren mit einer operationsbedürftigen Herzkrankheit. Bestimmt wurden die Entzündungsparameter CRP, Procalcitonin, Interleukin 6 und Interleukin 8. Zusätzlich wurde NT-pro-BNP als Marker für Herzinsuffizienz bestimmt. Die Blutentnahmen erfolgten präoperativ, unmittelbar postoperativ, am 1.,2. und 5. Tag postoperativ. Die präoperativen Werte wurden mit dem Risikoprofil der Patienten in Korrelation gesetzt. Dabei stach heraus, dass bei Patienten mit stattgehabter kardialer Dekompensation die Werte von CRP, NT-proBNP, IL6 und IL8 signifikant erhöht waren. Postoperativ erlitten diese Patienten häufiger eine Rethorakotomie. Außerdem ergab sich ein signifikanter Zusammenhang zwischen der Höhe der postoperativen Entzündungsparameter und dem Auftreten einer postoperativen Sepsis oder Infektion. Hier zeigte sich, dass CRP erst ab dem 5. Tag postoperativ als Indikator für eine solche gewertet werden kann, während Procalcitonin, IL6 und IL8 schon unmittelbar postoperativ als Parameter für das Auftreten einer Sepsis oder Infektion herangezogen werden können. In der vorliegenden Studie wurden jedoch nicht die Zeitpunkte der postoperativen Komplikationen bestimmt, was eine Prüfung auf Unterschied mit den postoperativen Etnzündungswerten erschwert. Zwischen den perioperativen Verläufen der bestimmten Parameter gab es zwischen den beiden Gruppen keinen signifikanten Unterschied. Dies impliziert, dass eine Ejektionsfraktion <35%/eine Mehrklappen-Erkrankung und ein Alter über 75 Jahren bei gröstenteils normwertiger EF als ebenbürtige Risikofaktoren angesehen werden können.
The overarching goal of the thesis was to create a holistic predictive framework, a vegetation model, by improving the representations of and interactions between the biosphere, hydrosphere, atmosphere and pedosphere. Vegetation models rep- resent a crucial component of Earth system model since the properties of the land surface, via interactions with the atmosphere, can have extremely large climatic effect. Yet, there remains great uncertainty associated with the dynamics of the vegetated land surface. Various vegetation models have been critiqued for numerous reasons including overly simplistic representations of vegetation, prescribed vegetation, poor representations of diversity, inaccurate representations of competition, non-transparent model calibration, and poor responses to drought. The purpose of the creation of this "next generation" model was to address deficiencies common to current vegetation modelling paradigms.
The representation of the biosphere within this framework was improved via two separate development axes. First, ecological realism was improved by integrating concepts from community assembly theory, co-existence theory, and evolutionary theory. Explicitly, rather than defining teleonomic rules to define plant behaviour the process of natural selection is modelled. By modelling the pro- cess of natural selection and its affect on relative fitness, myriad "rules" which continually adapt to biotic and abiotic conditions "come out" as a consequence of the modelled dynamics rather than being "put in". In aDGVM2 (adaptive Dynamic Global Vegetation model 2) communities of plants and their trait values evolve through time, this evolution is constrained by trade-offs between traits. Poorly performing individuals are more likely to die and produce fewer copies of themselves, this results in a filtering of trait values. Further, the community and species’ trait values can evolve through successive generations via reproduction, mutation and crossover which we approximate by using a genetic optimisation algorithm. Thus, a plant community consisting of individuals and species with potentially novel and diverse trait values is assembled iteratively through time.
We tested the assertion that improved integration of concepts from community assembly, evolutionary, and co-existence theory could address limitations of DGVMs in Chapter 2. We demonstrated that such an approach does indeed allow diverse communities of plants to emerge from the modelling framework. We showed that the position of the emergent communities in trait space differed along abiotic gradients and that, in simulations where reproductive isolation was simulated, communities emerged which were composed of multiple co-existing clusters in trait-space. Simulated trait values of co-existing strategies emerging from aDGVM2 were often multimodal, indicative of the emergence of multiple life- history strategies.
Second, to successfully model how natural selection forms a community requires accurate representation of how resource availability affects fitness. In the majority of dynamic global vegetation models (DGVMs) there is no real representation of plant hydraulics with plant water availability being calculated as a simple function of relative soil moisture content and root fractions across a number of soil layers. Worryingly, a number vegetation models appear to under represent the magnitude of these observed responses to drought. This was deficiency was ad- dressed in Chapter 3 by designing a simplified version of the cohesion tension theory of sapwood ascent where elements determining plant conductances are considered in series and implementing a set of trait trade-offs which influence a plant’s hydraulic strategy whereby hydraulic safety trades-off against xylem and leaf conductivity.
Interactions between the biosphere, pedosphere, and hydrosphere can also potentially mediate water resource availability and thus fitness. In the majority of DGVMs the volume of soil explored and explorable by plant roots in fixed glob- ally and usually constrained to a depth not greater than 3m. However, we know that soils can have a strong effect on vegetation distributions, that soil depth is not constant globally, and that plants root to variable depths.
In Chapter 4 I explored interactions between soil depth, plant rooting and the emergent properties of communities and highlighted the importance of considering interactions between the biosphere, hydrosphere, pedosphere, and fire. Here I demonstrated that, in addition to fire and precipitation, edaphic constraints on the volume of soil explorable by plant roots (e.g. by shallow soils, lateritic layers, anoxic conditions due to water logging, toxicity resulting from heavy metal concentrations) can affect the process of plant community assembly, alter the mean values of multiple traits in communities, and the trait diversity of communities.
...
Cardiac trabeculation is one of the essential processes required for the formation of a competent ventricular wall, whereby clusters of ventricular cardiomyocytes (CMs) from a single layer delaminate and expand into the cardiac jelly to form sheet-like projections in the developing heart (Samsa et al., 2013). Several congenital heart diseases are associated with defects in the formation of these trabeculae and lead to embryonic lethality (Jenni et al., 1999; Zhang et al., 2013, Jenni et al., 2001; Towbin 2010). It has been experimentally shown that lack of Nrg1/ErbB2/ErbB4, Angipoetin1/Tie2, EphrinB2/B4, BMP10, or any component of the Notch signaling pathway can cause defective trabeculation. Moreover, changes in blood flow and/or contractility can also affect trabeculation (Samsa et al., 2013). Together, these observations demonstrate that cardiac trabeculation is a highly dynamic and regulated process.
Trabeculation is a morphogenetic process that requires control over cell shape changes and rearrangements, similar to those observed during EMT. Epithelial cells within an epithelium are polarized and establish cell-cell junctions with the neighboring cells (Ikenouchi et al., 2003; Ferrer-vaquer et al., 2010), thus epithelial cell polarity is an important feature to maintain cell shape and tissue structure. During developmental processes such as cell migration and cell division or in disease states epithelial polarity might be disrupted. As a consequence of this alteration, cells lose their tight cell-cell adhesions, undergo cytoskeletal rearrangements, change their shape and gain migratory properties becoming mesenchymal cells (Micalizzi et al., 2010). In epithelial cells, apicobasal polarity is regulated by a conserved set of core complexes, including the PAR, Scribble and Crumbs complexes (Kemphues et al., 1988; Bilder and Perrimon, 2000; Teppas et al., 1984). The polarity proteins composing these complexes interact in a well organized and coordinated-manner creating molecular asymmetry along the apicobasal axis of the cell. In turn, this crosstalk regulates the maturation and stabilization of the junctions between cells and cytoskeleton in order to strengthen cell polarization (Roignot et al., 2013). Amongst the different polarity complex, Crumbs has been shown to be a key regulator of apicobasal polarity during development in both vertebrates and invertebrates (Tepass et al., 1990; Fan et al., 2004).
Here, taking advantage of zebrafish as a model organism, I study in vivo at single cell resolution changes in CM apicobasal polarity during cardiac trabeculation. Moreover, I show which factors regulate CM apicobasal polarity during this process. In addition, I dissect the role of the polarity complex Crumbs in regulating CM junctional rearrangements and the formation of the trabecular network.
In the 'Golden Age of Antibiotics', between 1940 and 1970, the global pharmaceutical companies discovered many antibiotics, such as cephalosporins, tetracyclines, aminoglycosides, glycopeptides, etc., as well as antifungal and antiparisitic agents. Due to several reasons, e.g. the steady re-discovery of already known NPs and the associated high costs, many pharmaceutical companies have significantly scaled back or totally abandoned their NP discovery programs since the late 20th century. Instead those companies started to focus on drug discovery based on combinatorial synthesis and thereby on the creation of enormous synthetic libraries containing small molecules. Unfortunately, this synthetic approach dealing with the optimization of existing NP or antibiotic has its limitations. As a result, leading pharmaceutical companies are re-conducting NPs research to discover new antimicrobials for the upcoming antimicrobial resistance threat. The Natural Product Center of Excellence, a collaboration between Sanofi-Aventis and Fraunhofer IME, is advancing in this context the discovery and development of novel antimicrobial agents for the treatment of infectious diseases through the testing of Sanofi's microbial extract library and strain collection. The aim of the present PhD thesis was the discovery and isolation of novel antimicrobial compounds with improved activities and/or novel MOAs as potential lead compound for a further drug discovery.
Deep learning and isolation based security for intrusion detection and prevention in grid computing
(2018)
The use of distributed computational resources for the solution of scientific problems, which require highly intensive data processing is a fundamental mechanism for modern scientific collaborations. The Worldwide Large Hadron Collider Computing Grid (WLCG) is one of the most important examples of a distributed infrastructure for scientific projects and is one of the pioneering examples of grid computing. The WLCG is the global grid that analyzes data from the Large Hadron Collider (LHC) at the European Organization for Nuclear Research (CERN), with 170 sites in 40 countries and more than 600,000 processing cores. The grid service providers grant users access to resources that they can utilize on demand for the execution of custom software applications used for the analysis of data. The code that the users can execute is completely flexible, and commonly there are no significant restrictions. This flexibility and the availability of immense computing power increases the security challenges of these environments. Attackers are a concern for grid administrators. These attackers may request the execution of software with a malicious code that gives them the possibility of compromising the underlying institutions’ infrastructure. Grid systems need security countermeasures to keep the user code running, without allowing access to critical components but whilst still retaining flexibility. The administrators of grid systems also need to be continuously monitoring the activities that the applications are carrying out. An analysis of these activities is necessary to detect possible security issues, to identify ongoing incidents and to perform autonomous responses. The size and complexity of grid systems make manual security monitoring and response expensive and complicated for human analysts. Legacy intrusion detection and prevention systems (IDPS) such as Snort and OSSEC are traditionally used for security incident monitoring in the grid, cloud, clusters and standalone systems. However, IDPS are limited due to the use of hardcoded fixed rules that need to be updated continuously to cope with different threats.
This thesis introduces an architecture for improving security in grid computing. The architecture integrates the use of security by isolation, behavior monitoring and deep learning (DL) for the classification of real-time traces of the running user payloads also known as grid jobs. The first component of the proposal, the Linux containers (LCs), are used to provide isolation between grid jobs and to gather specific traceable information about the behavior of individual jobs. LCs offer a safe environment for the execution of arbitrary user scripts or binaries, protecting the sensitive components of the grid member organizations. The containers consist of a software sandboxing technique and form a lightweight alternative to other technologies such as virtual machines (VMs) that usually implement a full machine-level emulation and can, therefore, significantly affect the performance. This performance loss is commonly unacceptable in high-throughput computing scenarios. Containers enable the collection of monitoring information from the processes running inside them. The data collected via the LCs monitoring is employed to feed a DL-based IDPS.
DL methods can acquire knowledge from experience, which eliminates the need for operators to formally specify all the knowledge that a system requires. These methods can improve IDPS by building models that are utilized to detect security incidents automatically, having the ability to generalize to new classes of issues. DL can produce lower false positive rates for intrusion detection, but also provides a measure of false negatives, which can be improved with new training data. Convolutional neural networks (CNNs) are utilized for the distinction between regular and malicious job classes. A set of samples is collected from regular production grid jobs from the grid infrastructure of “A Large Ion Collider Experiment” (ALICE) and malicious Linux binaries from a malware research website. The features extracted from these samples are utilized for the training and validation of the machine learning (ML) models. The utilization of a generative approach to enhance the required training data is also proposed. Recurrent neural networks (RNN) are used as generative models for the simulation of training data that complements and improves the real collected dataset. This data augmentation strategy is useful to supplement the lack of training data in ML processes.
...
How much we trust our own decisions, knowledge or perceptions influences our behavior in many everyday situations. Normally the confidence we have in our decisions is rather accurate, but under certain circumstances the subjective evaluation of a decision and its objective quality can differ heavily. Subjectively over- or underestimating the quality of decisions can lead to disadvantageous behavior. Little is known about how this feeling of confidence about a decision is generated. Is it computed automatically with the decision or does it arise in a different process?
This thesis is based on a publication that contributed to the investigation of this question by comparing the influence of two different forms of spatial attention on decision confidence. Visual spatial attention is a cognitive mechanism that serves to select parts of the visual field, leading to more accurate decisions about the attended items. It can be either voluntarily controlled (endogenous) or reflexively driven by external events (exogenous). In an orientation-matching task participants performed better in both attentional conditions than in a control condition without directed attention. Additionally, we found that only endogenous, but not exogenous attention led the subjects to overestimate the quality of their performance. The possible implications of this “relative overconfidence” were discussed with respect to the theoretical framework of spatial attention and decision confidence. The present findings support the idea that decision confidence is generated in a distinct metacognitive process. Possible ideas for further neurophysiological research are proposed. The thesis concludes with an attempt to integrate the discussion into a broader context of medical research on certain neuropsychiatric symptoms and conditions.