Developmental relocation of presynaptic terminals along distinct types of dendritic filopodia.

Dendritic filopodia are long thin protrusions occurring predominantly on developing neurons. Data from different systems suggest a range of crucial functions for filopodia in central circuit formation, including steering of dendritic growth, branch formation, synaptogenesis, and spinogenesis. Are the same filopodia competent to mediate all these processes, do filopodia acquire different functions through development, or do different filopodial types with distinct functions exist? In this study, 3-dimensional reconstructions from confocal image stacks demonstrate the existence of two morphologically and functionally distinct types of filopodia located on the dendritic tips versus the dendritic shafts of the same developing motoneuron. During dendritic growth, both filopodial types undergo a process of stage-specific morphogenesis. Using novel quantification strategies of 3-dimensional co-localization analysis for immunocytochemically labeled presynaptic specializations along postsynaptic filopodia, we find that presynaptic terminals accumulate along filopodia towards the dendrites at both stable dendritic shafts and on growing dendritic tips. On tips, this is likely to reflect synaptotrophic growth of the dendrite. At stable shafts, however, presynaptic sites become relocated along filopodia towards dendritic branches. This indicates the interactive growth of both pre- and postsynaptic partner towards one another during synaptogenesis, using filopodia as guides.

Progress in functional neuroanatomy: precise automatic geometric reconstruction of neuronal morphology from confocal image stacks.

Dendritic architecture provides the structural substrate for myriads of input and output synapses in the brain and for the integration of presynaptic inputs. Understanding mechanisms of evolution and development of neuronal shape and its respective function is thus a formidable problem in neuroscience. A fundamental prerequisite for finding answers is a precise quantitative analysis of neuronal structure in situ and in vivo. Therefore we have developed a tool set for automatic geometric reconstruction of neuronal architecture from stacks of confocal images. It provides exact midlines, diameters, surfaces, volumes, and branch point locations and allows analysis of labeled molecule distribution along neuronal surfaces as well as direct export into modeling software. We show the high accuracy of geometric reconstruction and the analysis of putative input synapse distribution throughout entire dendritic trees from in situ light microscopy preparations as a possible application. The binary version of the reconstruction module is downloadable at no cost.