title: Modeling activity-dependent synapse restructuring.
abstract: The spread of electrical activity in a dendritic tree is shaped, in part, by its morphology. Conversely, experimental evidence is growing that electrical and chemical activity can slowly shape the morphology of the dendrite. In this theoretical study, the dendritic spines are dynamic elements, with biophysical properties that change in response to patterns of electrical activity. Recent experiments and diagrammatic models suggest that activity-dependent processes can regulate structural modifications in dendritic spines as well as their distribution along the dendrite. This study considers how local changes in spine structure (minutes to hours) can influence patterns of electrical activity along the dendrite; and how electrical activity due to synaptic events and excitable membrane dynamics can, over time, influence the morphology of the dendrite. The model presents a slow subsystem for structural synaptic plasticity associated with long-term potentiation. A perturbation problem evolves naturally when the spine stem shortens, since the ratio of spine stem resistance to input resistance is small. Hence, the difference between the spine head and dendritic potentials become negligible. This paper presents an asymptotic expansion of head potential in terms of dendritic potential. This leads to a reduced model for post-synaptic restructuring that captures the dynamics of the full model in a briefer computation period when the spines are well connected to the dendrite.
authors.affiliation: Department of Mathematics, San Diego State University-Imperial Valley Campus, 720 Heber Avenue, Calexico CA 92231, USA. verzi@math.sdsu.edu
authors.forename: D W
authors.initials: DW
authors.lastname: Verzi
mesh_terms: D049229:Dendritic Spines / Q000502:physiology*; D004594:Electrophysiology; D006801:Humans; D008959:Models, Neurological; D013569:Synapses / Q000502:physiology*; D009435:Synaptic Transmission / Q000502:physiology*