Burst and tonic firing behaviour in subfornical organ (SFO) neurons (Medlock et al 2018)


"Subfornical organ (SFO) neurons exhibit heterogeneity in current expression and spiking behavior, where the two major spiking phenotypes appear as tonic and burst firing. Insight into the mechanisms behind this heterogeneity is critical for understanding how the SFO, a sensory circumventricular organ, integrates and selectively influences physiological function. To integrate efficient methods for studying this heterogeneity, we built a single-compartment, Hodgkin-Huxley-type model of an SFO neuron that is parameterized by SFO-specific in vitro patch-clamp data. The model accounts for the membrane potential distribution and spike train variability of both tonic and burst firing SFO neurons. Analysis of model dynamics confirms that a persistent Na+ and Ca2+ currents are required for burst initiation and maintenance and suggests that a slow-activating K+ current may be responsible for burst termination in SFO neurons. Additionally, the model suggests that heterogeneity in current expression and subsequent influence on spike afterpotential underlie the behavioral differences between tonic and burst firing SFO neurons. Future use of this model in coordination with single neuron patch-clamp electrophysiology provides a platform for explaining and predicting the response of SFO neurons to various combinations of circulating signals, thus elucidating the mechanisms underlying physiological signal integration within the SFO."

Model Type: Neuron or other electrically excitable cell

Cell Type(s): Hodgkin-Huxley neuron

Currents: I Na,t; I Sodium; I Potassium; I Na,p; I Calcium; I A; I_Ks

Model Concept(s): Action Potentials; Simplified Models; Activity Patterns; Bursting

Simulation Environment: MATLAB

Implementer(s): Medlock, Laura [laura.medlock at mail.utoronto.ca]

References:

Medlock L, Shute L, Fry M, Standage D, Ferguson AV. (2018). Ionic mechanisms underlying tonic and burst firing behavior in subfornical organ neurons: a combined experimental and modeling study. Journal of neurophysiology. 120 [PubMed]


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