title: Implications of cellular models of dopamine neurons for disease.
abstract: This review addresses the present state of single-cell models of the firing pattern of midbrain dopamine neurons and the insights that can be gained from these models into the underlying mechanisms for diseases such as Parkinson's, addiction, and schizophrenia. We will explain the analytical technique of separation of time scales and show how it can produce insights into mechanisms using simplified single-compartment models. We also use morphologically realistic multicompartmental models to address spatially heterogeneous aspects of neural signaling and neural metabolism. Separation of time scale analyses are applied to pacemaking, bursting, and depolarization block in dopamine neurons. Differences in subpopulations with respect to metabolic load are addressed using multicompartmental models.
authors: Department of Cell Biology and Anatomy, Louisiana State University Health Sciences Center, New Orleans, Louisiana; ccanav@lsuhsc.edu.
authors: Carmen C
authors: CC
authors: Canavier
authors: Cellular Neurophysiology Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland.
authors: Rebekah C
authors: RC
authors: Evans
authors: Department of Mathematics, Eastern Washington University, Cheney, Washington.
authors: Andrew M
authors: AM
authors: Oster
authors: IBM T.J. Watson Research Center, Yorktown Heights, New York.|Department of Computer Science, University of Sheffield, Sheffield, United Kingdom.
authors: Eleftheria K
authors: EK
authors: Pissadaki
authors: Department of Electrical Engineering and Computer Science, University of Liege, Liege, Belgium.
authors: Guillaume
authors: G
authors: Drion
authors: Department of Mathematical Sciences and Center for Mathematical Biosciences, Indiana University, Purdue University Indianapolis, Indianapolis, Indiana.
authors: Alexey S
authors: AS
authors: Kuznetsov
authors: Group for Neural Theory, LNC INSERM U960, Département d'Études Cognitives, École Normale Supérieure PSL Research University, Paris, France.|Center for Cognition and Decision Making, NRU Higher School of Economics, Moscow, Russia; and.
authors: Boris S
authors: BS
authors: Gutkin
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D059290:Dopaminergic Neurons / Q000502:physiology*; D006801:Humans; D008636:Mesencephalon / Q000166:cytology* / Q000473:pathology; D008959:Models, Neurological; D010300:Parkinson Disease / Q000473:pathology; D012559:Schizophrenia / Q000473:pathology; D019966:Substance-Related Disorders / Q000473:pathology
keywords: dopaminergic signaling; nonlinear dynamics