Hyperexcitability from Nav1.2 channel loss in neocortical pyramidal cells (Spratt et al 2021)

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Based on the Layer 5 thick-tufted pyramidal cell from the Blue Brain Project, we modify the distribution of the sodium channel Nav1.2 to recapitulate an increase in excitability observed in ex vivo slice experiments.
1 . Spratt PWE, Alexander RPD, Ben-Shalom R, Sahagun A, Kyoung H, Keeshen CM, Sanders SJ, Bender KJ (2021) Paradoxical hyperexcitability from NaV1.2 sodium channel loss in neocortical pyramidal cells Cell Rep. 36(5):109483 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism: Prefrontal cortex (PFC);
Cell Type(s): Neocortex layer 5 pyramidal cell;
Channel(s): I h; I M; I Potassium; I Sodium; I L high threshold; I T low threshold;
Gap Junctions:
Gene(s): Nav1.2 SCN2A;
Simulation Environment: NEURON; Python;
Model Concept(s):
Implementer(s): Ben-Shalom, Roy [rbenshalom at ucdavis.edu]; Kyoung, Henry [hkyoung at berkeley.edu];
Search NeuronDB for information about:  I L high threshold; I T low threshold; I M; I h; I Sodium; I Potassium;
Na12 Analysis
Ri Increase
# Scn2a Compartmental Model

Models and Jupyter notebooks for:

** Paper reference **

The simulations were tested with:

- Python v3.8.5

- NEURON v8.0

Model in ./Na12 Analysis/NaV12_analysis.ipynb corresponds to Figure 3, S3A-B, S4.

Model in ./Ri Increase/25% Ri Increase Figures.ipynb corresponds to Figure S3C.

Compile in mechanisms folder by running shell command `nrnivmodl` (Mac)/`mknrndll` (Windows) and copy x86_64 folder (Mac)/nrnmech.dll (Windows) to model folder.

For additional information, please contact bens.roy@gmail.com or henry.kyoung@ucsf.edu

## Changelog
2023-02-28: updated for C++ compatibility (NEURON 9+)

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