Layer V pyramidal cell functions and schizophrenia genetics (Mäki-Marttunen et al 2019)

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Accession:249463
Study on how GWAS-identified risk genes of shizophrenia affect excitability and integration of inputs in thick-tufted layer V pyramidal cells
Reference:
1 . Mäki-Marttunen T, Devor A, Phillips WA, Dale AM, Andreassen OA, Einevoll GT (2019) Computational modeling of genetic contributions to excitability and neural coding in layer V pyramidal cells: applications to schizophrenia pathology Front. Comput. Neurosci. 13:66
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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: Neocortex;
Cell Type(s):
Channel(s): I A; I M; I h; I K,Ca; I Calcium; I A, slow; I Na,t; I Na,p; I L high threshold; I T low threshold;
Gap Junctions:
Receptor(s): AMPA; NMDA; Gaba;
Gene(s):
Transmitter(s): Glutamate; Gaba;
Simulation Environment: NEURON; Python;
Model Concept(s): Schizophrenia; Dendritic Action Potentials; Action Potential Initiation; Synaptic Integration;
Implementer(s): Maki-Marttunen, Tuomo [tuomo.maki-marttunen at tut.fi];
Search NeuronDB for information about:  AMPA; NMDA; Gaba; I Na,p; I Na,t; I L high threshold; I T low threshold; I A; I M; I h; I K,Ca; I Calcium; I A, slow; Gaba; Glutamate;
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l5pc_scz
almog
hay
readme.txt
                            
This the readme for the model code associated with the paper:

Mäki-Marttunen T, Devor A, Phillips WA, Dale AM, Andreassen OA,
Einevoll GT (2019) Computational modeling of genetic contributions to
excitability and neural coding in layer V pyramidal cells:
applications to schizophrenia pathology Front. Comput. Neurosci.

This code was contributed by T Mäki-Marttunen.

HOC-commands for simulations based on (Hay et al. 2011, "Models of
neocortical layer 5b pyramidal cells capturing a wide range of
dendritic and perisomatic active properties", PLoS Comp Biol. 2011
Jul;7(7):e1002107)

HOC-commands for in-vivo-like synaptic inputs based on (Hay & Segev
2015, "Dendritic excitability and gain control in recurrent cortical
microcircuits", Cerebral Cortex 25(10): 3561-3571)

Library of variants based on (Maki-Marttunen et al. 2016, "Functional
Effects of Schizophrenia-Linked Genetic Variants on Intrinsic
Single-Neuron Excitability: A Modeling Study", Biol Psychiatry Cogn
Neurosci Neuroimaging. 2016 Jan 1;1(1):49-59), see also

(Maki-Marttunen et al. 2017, "Pleiotropic effects of
schizophrenia-associated genetic variants in neuron firing and cardiac
pacemaking revealed by computational modeling", Translational
Psychiatryvolume 7, Article number: 5 (2017))

Please see the readme's in the almog and hay folders for how to run.