Spatially-varying glutamate diffusion coefficient at CA1 synaptic cleft space (Gupta et al. 2016)

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Accession:206328
Due to the heterogeneous macromolecular crowding and geometrical irregularity at central excitatory synapses, the diffusion coefficient of glutamate may exhibit spatial variation across the cleft space. To take into account the effect of emergent cleft heterogeneity on the generation of excitatory postsynaptic currents (EPSCs), a gamma statistical distribution of the glutamate diffusion coefficient is considered and, using the principle of superstatistics, the glutamate transients are computed as well as the activation of AMPA receptors is performed. This model demonstrates the numerical simulation of the Brownian diffusion of glutamate under distributed diffusion coefficient, the subsequent stochastic activation of AMPA receptors using Milstein-Nicoll scheme and modified Gillespie algorithm with minimum time-step correction, and the eventual stochastic profile of EPSC generation. The study is based on the CA1 synapses located at the dendrites of CA1 pyramidal neurons in the mammalian hippocampal region.
Reference:
1 . Gupta R, Reneaux M, Karmeshu (2016) Role of Heterogeneous Macromolecular Crowding and Geometrical Irregularity at Central Excitatory Synapses in Shaping Synaptic Transmission. PLoS One 11:e0167505 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Synapse;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s): AMPA;
Gene(s):
Transmitter(s): Glutamate;
Simulation Environment: MATLAB;
Model Concept(s): Reaction-diffusion; Synaptic Plasticity;
Implementer(s): Gupta, Rahul [gupta.sbt at gmail.com];
Search NeuronDB for information about:  AMPA; Glutamate;
This is the readme for the models associated with the paper:

Rahul Gupta, Melissa Reneaux, Karmeshu (2016) Role of Macromolecular
Crowding and Geometrical Irregularity at Central Excitatory Synapses
in Shaping Synaptic Transmission. PLOS ONE

MATLAB Scripts for the Numerical Simulation of Glutamate Diffusion,
Stochastic AMPA Receptor Activation and EPSC generation

This code was contributed by Rahul Gupta.

There are three folders:

(1) Glutamate_diffusion.
    It contains scripts for two seperate situations of glutamate
    diffusion viz. (a) Standard diffusion with zero sigma_Dglut and
    (b) Diffusion with non-zero sigma_Dglut. Both these scripts
    perform simulation of the Brownian dynamics of glutamate diffusion
    within the cleft space under the prescribed absorbing and
    reflecting boundary conditions.

(2) Stochastic_AMPAR_activation.
    It contains scripts for the stochastic activation of AMPA
    receptors located in the PSD in response to the temporal profile
    of the local glutamate concentration obtained from the numerical
    simulation of glutamate diffusion. The script
    "AMPAR_activation_GillspiAlgorithm.m" perform the stochastic
    activation of AMPA receptors using modified Gillespie algorithm
    proposed by Skaugen and Walloe (1979). During simulation, it
    repeatedly calls another script "AMPAR_activation_MNscheme.m",
    which contains kinetic parameters of transition among the various
    states of AMPA receptor under the Milstein-Nicoll scheme.

(3) EPSC_generation.
    It contains a single script to compute the resultant profile of
    EPSC generated due to stochastic AMPA receptor activation.
 

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