Different responses of mice and rats hippocampus CA1 pyramidal neurons to in vitro and in vivo-like inputs (vitale et al., 2023)


Experimental motivation: The fundamental role of any neuron within a network is to transform complex spatiotemporal synaptic input patterns into individual output spikes. These spikes, in turn, act as inputs for other neurons in the network. Neurons must execute this function across a diverse range of physiological conditions, often based on species-specific traits. Therefore, it is crucial to determine the extent to which findings can be extrapolated between species and, ultimately, to humans. In this study, we employed a multidisciplinary approach to pinpoint the factors accounting for the observed electrophysiological differences between mice and rats, the two species most used in experimental and computational research. After analyzing the morphological properties of their hippocampal CA1 pyramidal cells, we conducted a statistical comparison of rat and mouse electrophysiological features in response to somatic current injections. This analysis aimed to uncover the parameters underlying these distinctions. Using a well-established computational workflow, we created ten distinct single-cell computational models of mouse CA1 pyramidal neurons, ready to be used in a full-scale hippocampal circuit. By comparing their responses to a variety of somatic and synaptic inputs with those of rat models, we generated experimentally testable hypotheses regarding species-specific differences in ion channel distribution, kinetics, and the electrophysiological mechanisms underlying their distinct responses to synaptic inputs during the behaviorally relevant Gamma and Sharp-Wave rhythms.

Model Type: Neuron or other electrically excitable cell

Region(s) or Organism(s): Hippocampus

Cell Type(s): Hippocampus CA1 pyramidal GLU cell

Currents: Ca pump; I CAN; I K,Ca; I Potassium; I Sodium; I h; I_KD

Receptors:

Genes:

Transmitters:

Model Concept(s): Action Potentials; Conductance distributions; Conductances estimation; Detailed Neuronal Models; Excitability; Ion Channel Kinetics; Synaptic Integration

Simulation Environment: NEURON

References:


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