...in this study, we develop an algorithm that uses statistics from precise morphometric analyses to systematically remodel neuronal reconstructions. We use the distribution function of the ratio of two normal distributed random variables to specify the probabilities of remodeling along various regions of the dendritic arborization. We then use these probabilities to drive an iterative algorithm for manipulating the dendritic tree in a region-specific manner. As a test, we apply this framework to a well characterized example of dendritic remodeling: stress-induced dendritic atrophy in hippocampal CA3 pyramidal cells. We show that our pruning algorithm is capable of eliciting atrophy that matches biological data from rodent models of chronic stress. <br>
Model Type: Neuron or other electrically excitable cell; Dendrite
Region(s) or Organism(s): Hippocampus
Cell Type(s): Hippocampus CA3 pyramidal GLU cell
Model Concept(s): Influence of Dendritic Geometry
Simulation Environment: C or C++ program
Implementer(s): Narayanan, Rishikesh [rishi at iisc.ac.in]
References:
Narayanan R, Narayan A, Chattarji S. (2005). A probabilistic framework for region-specific remodeling of dendrites in three-dimensional neuronal reconstructions. Neural computation. 17 [PubMed]