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In this thesis, I introduce the Virtual Brain Protocol, which facilitates applications of the Standard Brain of Drosophila melanogaster. By providing reliable and extensible tools for the handling of neuroanatomical data, this protocol simplifies and organizes the recurring tasks involved in these applications. It is demonstrated that this protocol can also be used to generate average brains, i.e. to combine recordings of several brains with the same features such that the common features are emphasized. One of the most important steps of the Virtual Insect Protocol is the aligning of newly recorded data sets with the Standard Brain. After presenting methods commonly applied in a biological or medical context to align two different recordings, it is evaluated to what extent this alignment can be automated. To that end, existing Image Processing techniques are assessed. I demonstrate that these techniques do not satisfy the requirements needed to guarantee sensible alignments between two brains. Then, I analyze what needs to be taken into account in order to formulate an algorithm which satisfies the needs of the protocol. In the last chapter, I derive such an algorithm using methods from Information Theory, which bases the technique on a solid mathematical foundation. I show how Bayesian Inference can be applied to enhance the results further. It is demonstrated that this approach yields good results on very noisy images, detecting apparent boundaries between structures. The same approach can be extended to take additional knowledge into account, e.g. the relative position of the anatomical structures and their shape. It is shown how this extension can be utilized to segment a newly recorded brain automatically.
Olfaction plays an important role in a variety of behaviors throughout the life of the European honeybee. Caste specific, environmentally induced and aging/experiencedependent differences in olfactory behavior represent a promising model to investigate mechanisms and consequences of phenotypic neuronal plasticity within the olfactory pathway of bees. This study focuses on the two different female phenotypes within the honeybee society, queens and workers. In this study, for the first time, structural plasticity in the honeybee brain was investigated at the synaptic level. Queens develop from fertilized eggs that are genetically not different from those that develop into workers. Adult queens are larger than workers, live much longer, and display different behaviors. Developmental trajectory is mainly determined by nutritional factors during the larval period. Within the subsequent post-capping period, brood incubation is precisely controlled, and pupae are incubated close to 35°C via thermoregulatory activity of adult workers. Behavioral studies suggest that lower rearing temperatures cause deficits in olfactory learning in adult bees. To unravel possible neuronal correlates for thermoregulatory and caste dependent influences on olfactory behavior, I examined structural plasticity of developing as well as mature olfactory synaptic neuropils. Brood cells were reared in incubators and pupal as well as adult brains were dissected for immunofluorescent staining. To label synaptic neuropils, I used an antibody to synapsin and fluophore-conjugated phalloidin which binds to filamentous (F-) actin. During development, neuronal F-actin is expressed in growing neurons, and in the mature nervous system, F-actin is most abundant in presynaptic terminals and dendritic spines. In the adult brains, this double labeling technique enables the quantification of distinct synaptic complexes microglomeruli [MG]) within olfactory and visual input regions of the mushroom bodies (MBs) prominent higher sensory integration centers. Analyses during larval-adult metamorphosis revealed that the ontogenetic plasticity in the female castes is reflected in the development of the brain. Distinct differences among the timing of the formation of primary and secondary olfactory neuropils were also revealed. These differences at different levels of the olfactory pathway in queens and workers correlate with differences in tasks performed by both female castes. In addition to caste specific differences, thermoregulation of sealed brood cells has important consequences on the synaptic organization within the MB calyces of adult workers and queens. Even small differences in rearing temperatures affected the number of MG in the olfactory calyx lip regions. In queens, the highest number of MG in the olfactory lip developed at 1°C below the temperature where the maximum of MG is found in workers (33.5 vs. 34.5°C). Apart from this developmental neuronal plasticity, this study exhibits a striking age-related plasticity of MG throughout the extended life span of queens. Interestingly, MG numbers in the olfactory lip increased with age, but decreased within the adjacent visual collar of the MB calyx. To conclude, developmental and adult plasticity of the synaptic circuitry in the sensory input regions of the MB calyx may underlie caste- and age-specific adaptations and long-term plasticity in behavior.