Modeling Deep Brain Stimulation for Parkinson’s Disease: Volume Conductor, Network and Mean-Field Models
Modeling and simulation are powerful tools in understanding the mechanisms underlying deep brain stimulation (DBS) as a therapy for Parkinson's disease. Model simulation can also guide the development of more effective stimulation systems in the future. This chapter reviews the three main approaches to modeling DBS which have been used to‐date. Volume conductor models of the electric field in the tissue surrounding the DBS electrode are first considered. These types of models, typically based on finite element methods, can be coupled with models of individual neurons to estimate of the volume of tissue directly activated or inhibited by a given stimulatus. Models which simulate the effect of DBS on the firing patterns of interconnected neurons within the basal‐ganglia and extended cortico‐thalamic basal‐ganglia network are then addressed. Finally, mean‐field type models which capture the behavior of populations of synchronous neurons and models of closed‐loop DBS are considered.
National University of Ireland, Dublin (UCD)
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