Abstract
Dopamine plays a critical role in modulating the long-term synaptic plasticity of the hippocampal Schaffer collateral-CA1 pyramidal neuron synapses (SC-CA1), a widely accepted cellular model of learning and memory. Limited results from hippocampal slice experiments over the last four decades have shown that the timing of the activation of dopamine D1/D5 receptors relative to a high/low-frequency stimulation (HFS/LFS) in SC-CA1 synapses regulates the modulation of HFS/LFS-induced long-term potentiation/depression (LTP/LTD) in these synapses. However, the existing literature lacks a complete picture of how various concentrations of D1/D5 agonists and the relative timing between the activation of D1/D5 receptors and LTP/LTD induction by HFS/LFS, affect the spatiotemporal modulation of SC-CA1 synaptic dynamics. In this paper, we have developed a computational model, a first of its kind, to make quantitative predictions of the temporal dose-dependent modulation of the HFS/LFS induced LTP/LTD in SC-CA1 synapses by various D1/D5 agonists. Our model combines the biochemical effects with the electrical effects at the electrophysiological level. We have estimated the model parameters from the published electrophysiological data, available from diverse hippocampal CA1 slice experiments, in a Bayesian framework. Our modeling results demonstrate the capability of our model in making quantitative predictions of the available experimental results under diverse HFS/LFS protocols. The predictions from our model show a strong nonlinear dependency of the modulated LTP/LTD by D1/D5 agonists on the relative timing between the activated D1/D5 receptors and the HFS/LFS protocol and the applied concentration of D1/D5 agonists.
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Data Availability Statement
Matlab code is available on GitHub (https://github.com/jschmalz/dopaminergic-modulation-SCA1-plasticity).
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Acknowledgements
We would like to thank Andrew Branen for reviewing and proofreading the article.
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We gratefully acknowledge funding and support from the University of Idaho Department of Chemical and Biological Engineering.
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GK and JS formulated problem. JS built model. GK and JS analyzed and discussed experimental data from the literature. GK and JS discussed results. GK and JS wrote manuscript.
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Schmalz, J.T., Kumar, G. A computational model of dopaminergic modulation of hippocampal Schaffer collateral-CA1 long-term plasticity. J Comput Neurosci 50, 51–90 (2022). https://doi.org/10.1007/s10827-021-00793-6
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DOI: https://doi.org/10.1007/s10827-021-00793-6