Responses in fast-spiking interneuron firing rates to parameter variations associated with degradation of perineuronal nets

Kine Odegard Hanssen; Sverre Grodem; Marianne FyhnTorkel HaftingGaute T. EinevollTorbjorn Vefferstad NessGeir Halnes

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Responses in fast-spiking interneuron firing rates to parameter variations associated with degradation of perineuronal nets

机译：Responses in fast-spiking interneuron firing rates to parameter variations associated with degradation of perineuronal nets

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The perineuronal nets (PNNs) are sugar coated protein structures that encapsulate certain neurons in the brain, such as par-valbumin positive (PV) inhibitory neurons. As PNNs are theorized to act as a barrier to ion transport, they may effectively increase the membrane charge-separation distance, thereby affecting the membrane capacitance. Tewari et al. (2018) found that degradation of PNNs induced a 25%-50% increase in membrane capacitance c_m and a reduction in the firing rates of PV-cells. In the current work, we explore how changes in c_m affects the firing rate in a selection of computational neuron models, ranging in complexity from a single compartment Hodgkin-Huxley model to morphologically detailed PV-neuron models. In all models, an increased c_m lead to reduced firing, but the experimentally reported increase in c_m was not alone sufficient to explain the experimentally reported reduction in firing rate. We therefore hypothesized that PNN degradation in the experiments affected not only c_m, but also ionic reversal potentials and ion channel conductances. In simulations, we explored how various model parameters affected the firing rate of the model neurons, and identified which parameter variations in addition to c_m that are most likely candidates for explaining the experimentally reported reduction in firing rate.

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《Journal of computational neuroscience》 |2023年第2期|283-298|共16页
作者
Kine Odegard Hanssen; Sverre Grodem; Marianne FyhnTorkel HaftingGaute T. EinevollTorbjorn Vefferstad NessGeir Halnes;
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Centre for Integrative Neuroplasticity, University of Oslo, Oslo, Norway, Department of Physics, Norwegian University of Life Sciences, As, Norway;

Department of Physics, University of Oslo, Oslo, Norway, Centre for Integrative Neuroplasticity, University of Oslo, Oslo, Norway;

Centre for Integrative Neuroplasticity, University of Oslo, Oslo, Norway, Department of Biosciences, University of Oslo, Oslo, NorwayCentre for Integrative Neuroplasticity, University of Oslo, Oslo, Norway, Institute of Basic Medical Sciences, University of Oslo, Oslo, NorwayDepartment of Physics, University of Oslo, Oslo, Norway, Centre for Integrative Neuroplasticity, University of Oslo, Oslo, Norway, Department of Physics, Norwegian University of Life Sciences, As, Norway;

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Perineuronal nets; Capacitance; Firing rate; PV cells; Fast-spiking interneurons; Multicompartment models of neurons;

Responses in fast-spiking interneuron firing rates to parameter variations associated with degradation of perineuronal nets

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