title: A neural mass model based on single cell dynamics to model pathophysiology.
abstract: Neural mass models are successful in modeling brain rhythms as observed in macroscopic measurements such as the electroencephalogram (EEG). While the synaptic current is explicitly modeled in current models, the single cell electrophysiology is not taken into account. To allow for investigations of the effects of channel pathologies, channel blockers and ion concentrations on macroscopic activity, we formulate neural mass equations explicitly incorporating the single cell dynamics by using a bottom-up approach. The mean and variance of the firing rate and synaptic input distributions are modeled. The firing rate curve (F(I)-curve) is used as link between the single cell and macroscopic dynamics. We show that this model accurately reproduces the behavior of two populations of synaptically connected Hodgkin-Huxley neurons, also in non-steady state.
authors.affiliation: MIRA - Institute for Biomedical Technology and Technical Medicine, University of Twente, P.O. Box 217, 7500, AE, Enschede, The Netherlands, b.zandt@utwente.nl.
authors.forename: Bas-Jan
authors.initials: BJ
authors.lastname: Zandt
authors.forename: Sid
authors.initials: S
authors.lastname: Visser
authors.forename: Michel J A M
authors.initials: MJ
authors.lastname: van Putten
authors.forename: Bennie
authors.initials: B
authors.lastname: Ten Haken
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology; D009434:Neural Pathways / Q000502:physiology; D009474:Neurons / Q000502:physiology*; D017711:Nonlinear Dynamics