Neurons of the nucleus reuniens thalami stained with Golgi methods are compared to cells in this nucleus labelled in retrograde fashion after hippocampal injections of horseradish peroxidase. The cellular morphology ranges from fusiform to multiangular with most cells showing radiating processes characteristic of neurons in the reticular core. Dendrites are long and relatively smooth, with a few sparsely distributed spinous processes. These cells are comparable to the cholinergic cells of the median septal/diagonal band area which also project into the hippocampal formation.

Au cours du développement du système nerveux, l'activité des cibles post-synaptiques permet le raffinement du nombre et de la force des connexions neuronales. En employant la jonction neuromusculaire de Caenorhabditis elegans comme système modèle, nous avons étudié deux aspects de la mise en place de ces connexions. D'une part, nous montrons que le nombre de récepteurs présents à la jonction neuromusculaire est contrôlé par l'activité musculaire : une augmentation de l'activation synaptique entraîne une régulation différentielle des trois types de récepteurs présents à la jonction neuromusculaire. D'autre part, nous avons étudié les changements de la morphologie de certains motoneurones de la tête du ver, appelés neurones SAB, en fonction de l’activité musculaire. Une diminution de l’activité musculaire durant une période critique du développement entraîne une surcroissance axonale des neurones SAB. À travers différentes approches, nous avons pu identifier la suppression de la surcroissance axonale dans des mutants où la biosynthèse des neuropeptides est perturbée. Enfin, nous avons mis en évidence que la surcroissance axonale apparait également lors de perturbations plus générales de la physiologie cellulaire, telles qu'un choc thermique ou la surexpression d'un transgène, ce qui suggère que le système SAB est plastique et particulièrement sensible au cours du développement / Throughout nervous system development, activity of the post-synaptic targets can regulate the connectivity of neural networks, affecting both the number and strength of synapses. Using the neuromuscular junction of Caenorhabditis elegans as a model system, we studied two processes displaying such plasticity. First, we show that the number of receptors present at the neuromuscular synapse is regulated by muscle activity: an increase in synaptic activity can lead to a differential regulation of the three types of receptors present at the neuromuscular junction. Second, we studied the activity-dependent morphological changes of one type of motor neurons in the worm’s head, called the SAB neurons. A decrease of muscle activity during a critical developmental phase leads to SAB axonal overgrowth. Using several approaches, we were able to observe suppression of SAB axonal overgrowth in mutants with a disruption of neuropeptides biosynthesis. Finally, we give evidence that axonal overgrowth also occurs following more general disruptions of cell physiology, such as a heat-shock or transgene overexpression, which suggest that the SAB system is plastic and sensitive during development

Microscopic analysis of biological structures can be significantly enhanced by representing the object of study as a three-dimensional entity. To assist neurobiologists investigate the molecular mechanisms involved in neurite formation requires an adequate visual model or at least some measurable data. Reconstruction helps analysis of biological structures by representing the object of study as a three-dimensional entity. It helps gain insight into the morphological variation observed in each class of neurons and for simulations of neuronal behavior. To perform the reconstruction, biologists today have to rely on time-consuming manual or semi-manual methods which either doesn't exhibit robustness against noise of microscopy images or fail to capture precise dendritic structures, thus necessitating the need of fully-automated reconstruction methods for neuronal structures. In our work, we designed a framework with the goal of enabling automation and yet produce flexible outputs to ensure a high quality reconstruction with minimal user intervention. Our framework is also not bound by varying contrast, size or resolution of data, thus capable of working on data obtained from wide variety of acquisition methods and neuronal structures.