@phdthesis{Wiemer2015,
  author    = {Wiemer, Julian},
  title     = {Maintaining factors of fear-relevant illusory correlations},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-116960},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2015},
  abstract  = {Biased cognitive processes are very likely involved in the maintenance of fears and anxiety. One of such cognitive processes is the perceived relationship between fear-relevant stimuli and aversive consequences. If this relationship is perceived although objective contingencies have been random, it is called an (a posteriori) illusory correlation. If this relationship is overestimated before objective contingencies are experienced, it is called an (a priori) expectancy bias. Previous investigations showed that fear-relevant illusory correlations exist, but very few is known about how and why this cognitive bias develops. In the present dissertation thesis, a model is proposed based on a review of the literature on fear-relevant illusory correlations. This model describes how psychological factors might have an influence on fear and illusory correlations. Several critical implications of the model were tested in four experiments. Experiment 1 tested the hypothesis that people do not only overestimate the proportion of aversive consequences (startle sounds) following emotionally negative stimuli (pictures of mutilations) relative to neutral stimuli (pictures of household objects), but also following highly arousing positive stimuli (pictures of erotic scenes), because arousal might be an important determinant of illusory correlations. The result was a significant expectancy bias for negative stimuli and a much smaller expectancy bias for positive stimuli. Unexpectedly, expectancy bias was restricted to women. An a posteriori illusory correlation was not found overall, but only in those participants who perceived the aversive consequences following negative stimuli as particularly aversive. Experiment 2 tested the same hypothesis as experiment 1 using a paradigm that evoked distinct basic emotions (pictures inducing fear, anger, disgust or happiness). Only negative emotions resulted in illusory correlations with aversive outcomes (startle sounds), especially the emotions of fear and disgust. As in experiment 1, the extent of these illusory correlations was correlated with the perceived aversiveness of aversive outcomes. Moreover, only women overestimated the proportion of aversive outcomes during pictures that evoked fear, anger or disgust. Experiment 3 used functional Magnetic Resonance Imaging (fMRI) to measure biased brain activity in female spider phobics during an illusory correlation paradigm. Both spider phobics and healthy controls expected more aversive outcomes (painful electrical shocks) following pictures of spiders than following neutral control stimuli (pictures of mushrooms). Spider phobics but not healthy controls overestimated the proportion of aversive outcomes following pictures of spiders in a trial-by-trial memory task. This a posteriori illusory correlation was correlated with enhanced shock aversiveness and activity in primary sensory-motor cortex in phobic participants. Moreover, spider phobics' brain activity in the left dorsolateral prefrontal cortex was elevated in response to spider images. This activity also predicted the extent of the illusory correlation, which supports the theory that executive and attentional resources play an important role in the maintenance of illusory correlations. Experiment 4 tested the hypothesis that the enhanced aversiveness of some outcomes would be sufficient to causally induce an illusory correlation. Neutral images (colored geometric figures) were paired with differently aversive outcomes (three startle sounds varying in intensity). Participants developed an illusory correlation between those images, which predicted the most aversive sound and this sound, which means that this association was overestimated relative to the other associations. The extent of the illusory correlation was positively correlated with participants' self-reported anxiety. The results imply that the previously found relationship between illusory correlations and outcome aversiveness might reflect a causal impact of outcome aversiveness or salience on illusory correlations. In sum, the conducted experiments indicate that illusory correlations between fear-relevant stimuli and aversive consequences might persist - among other factors - because of an enhanced aversiveness or salience of aversive consequences following feared stimuli. This assumption is based on correlational findings, a neural measure of outcome perception and a causal influence of outcome aversiveness on illusory correlations. Implications of these findings were integrated into a model of fear-relevant illusory correlations and potential implications are discussed. Future investigations should further elucidate the role of executive functions and gender effects. Moreover, the trial-by-trial assessment of illusory correlations is recommended to increase reliability of the concept. From a clinical perspective, the down-regulation of aversive experiences and the allocation of attention to non-aversive experiences might help to cure anxiety and cognitive bias.},
  subject      = {Verzerrte Kognition},
  language  = {en}
}
@phdthesis{Pahl2011,
  author    = {Pahl, Mario},
  title     = {Honeybee Cognition: Aspects of Learning, Memory and Navigation in a Social Insect},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-66165},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {Honeybees (Apis mellifera) forage on a great variety of plant species, navigate over large distances to crucial resources, and return to communicate the locations of food sources and potential new nest sites to nest mates using a symbolic dance language. In order to achieve this, honeybees have evolved a rich repertoire of adaptive behaviours, some of which were earlier believed to be restricted to vertebrates. In this thesis, I explore the mechanisms involved in honeybee learning, memory, numerical competence and navigation. The findings acquired in this thesis show that honeybees are not the simple reflex automats they were once believed to be. The level of sophistication I found in the bees' memory, their learning ability, their time sense, their numerical competence and their navigational abilities are surprisingly similar to the results obtained in comparable experiments with vertebrates. Thus, we should reconsider the notion that a bigger brain automatically indicates higher intelligence.},
  subject      = {Biene},
  language  = {en}
}
@phdthesis{Niewalda2010,
  author    = {Niewalda, Thomas},
  title     = {Neurogenetic analyses of pain-relief learning in the fruit fly},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-65035},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2010},
  abstract  = {All animals learn in order to cope with challenges imposed on them by their environment. This is true also for both larval and adult fruit flies as exemplified in pavlovian conditioning. The focus of this Thesis is on various aspects of the fruit flies learning ability. My main project deals with two types of learning which we call punishment-learning and pain-relief learning. Punishment learning happens when fruit flies are exposed to an odour which is followed by electric shock. After such training, flies have learned that that odour signals pain and consequently will avoid it in the future. If the sequence of the two stimuli is reversed such that odour follows shock, flies learn the odour as a signal for relief and will later on approach it. I first report a series of experiments investigating qualitative and parametric features of relief-learning; I find that (i) relief learning does result from true associative conditioning, (ii) it requires a relatively high number of training trials, (iii) context-shock training is ineffective for subsequent shock-odour learning. A further question is whether punishment-learning and pain-relief learning share genetic determinants. In terms of genetics, I test a synapsin mutant strain, which lacks all Synapsin protein, in punishment and relief-learning. Punishment learning is significantly reduced, and relief-learning is abolished. Pan-neuronal RNAi-mediated knock-down of Synapsin results in mutant-like phenotypes, confirming the attribution of the phenotype to lack of Synapsin. Also, a rescue of Synapsin in the mushroom body of syn97 mutants restores both punishment- and relief-learning fully, suggesting the sufficiency of Synapsin in the mushroom body for both these kinds of learning. I also elucidate the relationship between perception and physiology in adult fruit flies. I use odour-shock conditioning experiments to identify degrees of similarity between odours; I find that those similarity measures are consistent across generalization and discrimination tasks of diverse difficulty. Then, as collaborator of T. V{\"o}ller and A. Fiala, I investigate how such behavioural similarity/dissimilarity is reflected at the physiological level. I combine the behaviour data with calcium imaging data obtained by measuring the activity patterns of those odours in either the sensory neurons or the projection neurons at the antennal lobe. Our interpretation of the results is that the odours perceptual similarity is organized by antennal lobe interneurons. In another project I investigate the effect of gustatory stimuli on reflexive behaviour as well as their role as reinforcer in larval learning. Drosophila larvae greatly alter their behaviour in presence of sodium chloride. Increasing salt concentration modulates choice behaviour from weakly appetitive to strongly aversive. A similar concentration-behaviour function is also found for feeding: larval feeding is slightly enhanced in presence of low salt concentrations, and strongly decreased in the presence of high salt concentrations. Regarding learning, relatively weak salt concentrations function as appetitive reinforcer, whereas high salt concentrations function as aversive reinforcer. Interestingly, the behaviour-concentration curves are shifted towards higher concentrations from reflexive behaviour (choice behaviour, feeding) as compared to associative learning. This dissociation may reflect a different sensitivity in the respective sensory-motor circuitry.},
  subject      = {Taufliege},
  language  = {en}
}
@phdthesis{Knapek2010,
  author    = {Knapek, Stephan},
  title     = {Synapsin and Bruchpilot, two synaptic proteins underlying specific phases of olfactory aversive memory in Drosophila melanogaster},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-49726},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2010},
  abstract  = {Memory is dynamic: shortly after acquisition it is susceptible to amnesic treatments, gets gradually consolidated, and becomes resistant to retrograde amnesia (McGaugh, 2000). Associative olfactory memory of the fruit fly Drosophila melanogaster also shows these features. After a single associative training where an odor is paired with electric shock (Quinn et al., 1974; Tully and Quinn, 1985), flies form an aversive odor memory that lasts for several hours, consisting of qualitatively different components. These components can be dissociated by mutations, their underlying neuronal circuitry and susceptibility to amnesic treatments (Dubnau and Tully, 1998; Isabel et al., 2004; Keene and Waddell, 2007; Masek and Heisenberg, 2008; Xia and Tully, 2007). A component that is susceptible to an amnesic treatment, i.e. anesthesia-sensitive memory (ASM), dominates early memory, but decays rapidly (Margulies et al., 2005; Quinn and Dudai, 1976). A consolidated anesthesia-resistant memory component (ARM) is built gradually within the following hours and lasts significantly longer (Margulies et al., 2005; Quinn and Dudai, 1976). I showed here that the establishment of ARM requires less intensity of shock reinforcement than ASM. ARM and ASM rely on different molecular and/or neuronal processes: ARM is selectively impaired in the radish mutant, whereas for example the amnesiac and rutabaga genes are specifically required for ASM (Dudai et al., 1988; Folkers et al., 1993; Isabel et al., 2004; Quinn and Dudai, 1976; Schwaerzel et al., 2007; Tully et al., 1994). The latter comprise the cAMP signaling pathway in the fly, with the PKA being its supposed major target (Levin et al., 1992). Here I showed that a synapsin null-mutant encoding the evolutionary conserved phosphoprotein Synapsin is selectively impaired in the labile ASM. Further experiments suggested Synapsin as a potential downstream effector of the cAMP/PKA cascade. Similar to my results, Synapsin plays a role for different learning tasks in vertebrates (Gitler et al., 2004; Silva et al., 1996). Also in Aplysia, PKA-dependent phosphorylation of Synapsin has been proposed to be involved in regulation of neurotransmitter release and short-term plasticity (Angers et al., 2002; Fiumara et al., 2004). Synapsin is associated with a reserve pool of vesicles at the presynapse and is required to maintain vesicle release specifically under sustained high frequency nerve stimulation (Akbergenova and Bykhovskaia, 2007; Li et al., 1995; Pieribone et al., 1995; Sun et al., 2006). In contrast, the requirement of Bruchpilot, which is homologous to the mammalian active zone proteins ELKS/CAST (Wagh et al., 2006), is most pronounced in immediate vesicle release (Kittel et al., 2006). Under repeated stimulation of a bruchpilot mutant motor neuron, immediate vesicle release is severely impaired whereas the following steady-state release is still possible (Kittel et al., 2006). In line with that, knockdown of the Bruchpilot protein causes impairment in clustering of Ca2+ channels to the active zones and a lack of electron-dense projections at presynaptic terminals (T-bars). Thus, less synaptic vesicles of the readily-releasable pool are accumulated to the release sites and their release probability is severely impaired (Kittel et al., 2006; Wagh et al., 2006). First, I showed that Bruchpilot is required for aversive olfactory memory and localized the requirement of Bruchpilot to the Kenyon cells of the mushroom body, the second-order olfactory interneurons in Drosophila. Furthermore, I demonstrated that Bruchpilot selectively functions for the consolidated anesthesia-resistant memory. Since Synapsin is specifically required for the labile anesthesia sensitive memory, different synaptic proteins can dissociate consolidated and labile components of olfactory memory and two different modes of neurotransmission (high- vs. low frequency dependent) might differentiate ASM and ARM.},
  subject      = {Taufliege},
  language  = {en}
}
@phdthesis{Bertolucci2008,
  author    = {Bertolucci, Franco},
  title     = {Operant and classical learning in Drosophila melanogaster: the ignorant gene (ign)},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-33984},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2008},
  abstract  = {One of the major challenges in neuroscience is to understand the neuronal processes that underlie learning and memory. For example, what biochemical pathways underlie the coincidence detection between stimuli during classical conditioning, or between an action and its consequences during operant conditioning? In which neural substructures is this information stored? How similar are the pathways mediating these two types of associative learning and at which level do they diverge? The fly Drosophila melanogaster is an appropriate model organism to address these questions due to the availability of suitable learning paradigms and neurogenetic tools. It permits an extensive study of the functional role of the gene S6KII which in Drosophila had been found to be differentially involved in classical and operant conditioning (Bertolucci, 2002; Putz et al., 2004). Genomic rescue experiments showed that olfactory conditioning in the Tully machine, a paradigm for Pavlovian olfactory conditioning, depends on the presence of an intact S6KII gene. This rescue was successfully performed on both the null mutant and a partial deletion, suggesting that the removal of the phosphorylating unit of the kinase was the main cause of the functional defect. The GAL4/UAS system was used to achieve temporal and spatial control of S6KII expression. It was shown that expression of the kinase during the adult stage was essential for the rescue. This finding ruled out a developmental origin of the mutant learning phenotype. Furthermore, targeted spatial rescue of S6KII revealed a requirement in the mushroom bodies and excluded other brain structures like the median bundle, the antennal lobes and the central complex. This pattern is very similar to the one previously identified with the rutabaga mutant (Zars et al., 2000). Experiments with the double mutant rut, ign58-1 suggest that both rutabaga and S6KII operate in the same signalling pathway. Previous studies had already shown that deviating results from operant and classical conditioning point to different roles for S6KII in the two types of learning (Bertolucci, 2002; Putz, 2002). This conclusion was further strengthened by the defective performance of the transgenic lines in place learning and their normal behavior in olfactory conditioning. A novel type of learning experiment, called "idle experiment", was designed. It is based on the conditioning of the walking activity and represents a purely operant task, overcoming some of the limitations of the "standard" heat-box experiment, a place learning paradigm. The novel nature of the idle experiment allowed exploring "learned helplessness" in flies, unveiling astonishing similarities to more complex organisms such as rats, mice and humans. Learned helplessness in Drosophila is found only in females and is sensitive to antidepressants.},
  subject      = {Klassische Konditionierung},
  language  = {en}
}