Python scripts for running NEURON simulations that model a layer V pyramidal cell with certain genetic variants implemented. The genes included are obtained from genome-wide association studies of schizophrenia.
Model Type: Neuron or other electrically excitable cell
Cell Type(s): Neocortex L5/6 pyramidal GLU cell
Currents: I Na,p; I Na,t; I L high threshold; I T low threshold; I K; I K,leak; I M; I h; I K,Ca; I A, slow; Ca pump
Genes: Nav1.1 SCN1A; Nav1.7 SCN9A; Cav3.3 CACNA1I; Cav1.3 CACNA1D; Cav1.2 CACNA1C; Kv2.1 KCNB1; HCN1
Model Concept(s): Coincidence Detection; Active Dendrites; Detailed Neuronal Models; Schizophrenia
Simulation Environment: NEURON; Python
Implementer(s): Maki-Marttunen, Tuomo [tuomomm at uio.no]
References:
Mäki-Marttunen T et al. (2016). Functional Effects of Schizophrenia-Linked Genetic Variants on Intrinsic Single-Neuron Excitability: A Modeling Study. Biological psychiatry. Cognitive neuroscience and neuroimaging. 1 [PubMed]