In silico hippocampal modeling for multi-target pharmacotherapy in schizophrenia (Sherif et al 2020)


"Using a hippocampal CA3 computer model with 1200 neurons, we examined the effects of alterations in NMDAR, HCN (Ih current), and GABAAR on information flow (measured with normalized transfer entropy), and in gamma activity in local field potential (LFP). We found that altering NMDARs, GABAAR, Ih, individually or in combination, modified information flow in an inverted-U shape manner, with information flow reduced at low and high levels of these parameters. Theta-gamma phase-amplitude coupling also had an inverted-U shape relationship with NMDAR augmentation. The strong information flow was associated with an intermediate level of synchrony, seen as an intermediate level of gamma activity in the LFP, and an intermediate level of pyramidal cell excitability"

Model Type: Realistic Network

Region(s) or Organism(s): Hippocampus

Cell Type(s): Hippocampus CA3 pyramidal GLU cell; Hippocampus CA3 interneuron basket GABA cell; Hippocampus CA3 stratum oriens lacunosum-moleculare interneuron

Currents: I h

Receptors: AMPA; NMDA

Genes: NR2A GRIN2A

Transmitters: Glutamate; Gaba

Model Concept(s): Schizophrenia

Simulation Environment: NEURON

Implementer(s): Sherif, Mohamed [mohamed.sherif.md at gmail.com]

References:

Sherif MA, Neymotin SA, Lytton WW. (2020). In silico hippocampal modeling for multi-target pharmacotherapy in schizophrenia. NPJ schizophrenia. 6 [PubMed]


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