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On disturbance rejection control of the epileptiform spikes

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Abstract

Epilepsy is a neurological disorder resulting from a sudden development of synchronous firing in a massive group of neurons. For the particularity of the epilepsy, a neural mass model (NMM) is commonly utilized to understand and simulate the mechanism and evolution of the epilepsy. In this paper, based on a multi-coupling NMM and real EEGs of an epileptic mouse, a computational epileptic model is established to simulate the abnormal discharges of a mouse during seizures. Thus, rather than make animal experiments directly, numerical tests can be performed first. It reduces risks and helps improve the closed-loop neuromodulation. In addition, considering that no epileptic model can be utilized for neuromodulation in clinic, and even if a model exists, it still cannot describe the dynamics of the epilepsy faithfully, a scalable observer bandwidth and phase leading active disturbance rejection control (SOB-PLADRC) is proposed. Accordingly, a timelier and more accurate total disturbance estimation can be obtained by a scalable observer bandwidth and phase leading extended state observer, and an expected closed-loop neuromodulation can be realized without an accurate epileptic model. Numerical simulations based on the established model also show that the SOB-PLADRC suppresses seizures best among the PI and other active disturbance rejection approaches. More powerful disturbance rejection ability and more satisfactory closed-loop neuromodulation make the SOB-PLADRC more promising in the seizure control.

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Acknowledgements

This work was supported by National Natural Science Foundation of China (61873005, 61403006, 81771395), and Key program of Beijing Municipal Education Commission (KZ201810011012). The authors would like to thank the anonymous reviewers for their valuable comments and suggestions.

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Correspondence to Wei Wei.

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Wei, W., Zhang, Z., Chen, N. et al. On disturbance rejection control of the epileptiform spikes. Cogn Neurodyn 16, 425–441 (2022). https://doi.org/10.1007/s11571-021-09704-y

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  • DOI: https://doi.org/10.1007/s11571-021-09704-y

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