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Energy features in spontaneous up and down oscillations

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Abstract

Spontaneous brain activities consume most of the brain’s energy. So if we want to understand how the brain operates, we must take into account these spontaneous activities. Up and down transitions of membrane potentials are considered to be one of significant spontaneous activities. This kind of oscillation always shows bistable and bimodal distribution of membrane potentials. Our previous theoretical studies on up and down oscillations mainly looked at the ion channel dynamics. In this paper, we focus on energy feature of spontaneous up and down transitions based on a network model and its simulation. The simulated results indicate that the energy is a robust index and distinguishable of excitatory and inhibitory neurons. Meanwhile, one the whole, energy consumption of neurons shows bistable feature and bimodal distribution as well as the membrane potential, which turns out that the indicator of energy consumption encodes up and down states in this spontaneous activity. In detail, energy consumption mainly occurs during up states temporally, and mostly concentrates inside neurons rather than synapses spatially. The stimulation related energy is small, indicating that energy consumption is not driven by external stimulus, but internal spontaneous activity. This point of view is also consistent with brain imaging results. Through the observation and analysis of the findings, we prove the validity of the model again, and we can further explore the energy mechanism of more spontaneous activities.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China (Nos. 11702096, 11802095, 11972159), the Natural Science Foundation of Shanghai (No. 19zr1473100) and the Fundamental Research Funds for the Central Universities (Nos. 222201714020, 22201814025). We also thank reviewers for comments on the manuscript to improve our work.

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Authors and Affiliations

  1. Institute for Cognitive Neurodynamics, East China University of Science and Technology, 130 Meilong Road, Shanghai, China

    Yihong Wang, Xuying Xu & Rubin Wang

  2. School of Computer Science, Hangzhou Dianzi University, Hangzhou, China

    Rubin Wang

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  1. Yihong Wang
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  2. Xuying Xu
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  3. Rubin Wang
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Correspondence to Xuying Xu.

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Wang, Y., Xu, X. & Wang, R. Energy features in spontaneous up and down oscillations. Cogn Neurodyn 15, 65–75 (2021). https://doi.org/10.1007/s11571-020-09597-3

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