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Hopf bifurcation mechanism analysis in an improved cortex-basal ganglia network with distributed delays: An application to Parkinson’s disease

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  • Wang, Zhizhi
  • Hu, Bing
  • Zhou, Weiting
  • Xu, Minbo
  • Wang, Dingjiang

Abstract

In this paper, we introduce general distributed delays (in pathways between different neurons) and self-feedback distributed delays (in self-feedback pathways) into an improved cortex-basal ganglia (BG) network to study possible Hopf bifurcation mechanisms for Parkinson’s oscillations. Hopf bifurcation critical conditions for discrete delays are obtained, which compare well to numerical simulations. General distributed delays inhibit oscillations in BG, but self-feedback distributed delays promote oscillations. The different effects of strong and weak kernels on Hopf bifurcations mainly depend on self-feedback distributed delays, strong kernels are more conducive to the generation of oscillations when self-feedback distributed delays exceed a certain value. The excitatory feedback and inhibitory feedback from cortex to BG have different effects on oscillation. We define four different states (absolutely stable, conditional stable, conditional oscillation and absolutely oscillation) in this model, which can explain different mechanisms of oscillation origin. An increase in distributed delays can induce the transition between supercritical (SPH) and subcritical (SBH) Hopf bifurcations, which in turn may cause the transition of oscillations in different frequency bands, such as beta oscillations and alpha oscillations. Near the SBH, frequencies increase with an increase in discrete delays; and the trend is opposite at the SPH. In general, the amplitude of oscillation increases with the increase of firing activation level. Discrete delays can improve the firing activation level of the BG and suppress oscillations in its adjacent circuits. With the increase of distributed delays, oscillatory regions evolve regularly and the roles of general distributed delays and self-feedback distributed delays are contrary. Different types of delay have different effects on oscillation frequency. Discrete delay and self-feedback distributed delay have similar effects on oscillation frequency, but are different from general distributed delay. Whether the frequency will change with an increase in delay depends on coupling weights.

Suggested Citation

  • Wang, Zhizhi & Hu, Bing & Zhou, Weiting & Xu, Minbo & Wang, Dingjiang, 2023. "Hopf bifurcation mechanism analysis in an improved cortex-basal ganglia network with distributed delays: An application to Parkinson’s disease," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
  • Handle: RePEc:eee:chsofr:v:166:y:2023:i:c:s0960077922012012
    DOI: 10.1016/j.chaos.2022.113022
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    1. Zhu, Ruiyuan & Guo, Yingxin & Wang, Fei, 2020. "Quasi-synchronization of heterogeneous neural networks with distributed and proportional delays via impulsive control," Chaos, Solitons & Fractals, Elsevier, vol. 141(C).
    2. Ashwini Oswal & Chunyan Cao & Chien-Hung Yeh & Wolf-Julian Neumann & James Gratwicke & Harith Akram & Andreas Horn & Dianyou Li & Shikun Zhan & Chao Zhang & Qiang Wang & Ludvic Zrinzo & Tom Foltynie &, 2021. "Neural signatures of hyperdirect pathway activity in Parkinson’s disease," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    3. Asa Abeliovich & Aaron D. Gitler, 2016. "Defects in trafficking bridge Parkinson's disease pathology and genetics," Nature, Nature, vol. 539(7628), pages 207-216, November.
    4. Panahi, Shirin & Aram, Zainab & Jafari, Sajad & Ma, Jun & Sprott, J.C., 2017. "Modeling of epilepsy based on chaotic artificial neural network," Chaos, Solitons & Fractals, Elsevier, vol. 105(C), pages 150-156.
    5. Iswarya, M. & Raja, R. & Cao, J. & Niezabitowski, M. & Alzabut, J. & Maharajan, C., 2022. "New results on exponential input-to-state stability analysis of memristor based complex-valued inertial neural networks with proportional and distributed delays," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 201(C), pages 440-461.
    6. Wang, Qingyun & Perc, Matjaž & Duan, Zhisheng & Chen, Guanrong, 2010. "Impact of delays and rewiring on the dynamics of small-world neuronal networks with two types of coupling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(16), pages 3299-3306.
    7. Cao, Yang, 2019. "Bifurcations in an Internet congestion control system with distributed delay," Applied Mathematics and Computation, Elsevier, vol. 347(C), pages 54-63.
    8. Chaouki Aouiti & El abed Assali & Jinde Cao & Ahmed Alsaedi, 2018. "Global exponential convergence of neutral-type competitive neural networks with multi-proportional delays, distributed delays and time-varying delay in leakage delays," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(10), pages 2202-2214, July.
    9. Jonathan D. Charlesworth & Timothy L. Warren & Michael S. Brainard, 2012. "Covert skill learning in a cortical-basal ganglia circuit," Nature, Nature, vol. 486(7402), pages 251-255, June.
    10. Arpiar Saunders & Ian A. Oldenburg & Vladimir K. Berezovskii & Caroline A. Johnson & Nathan D. Kingery & Hunter L. Elliott & Tiao Xie & Charles R. Gerfen & Bernardo L. Sabatini, 2015. "A direct GABAergic output from the basal ganglia to frontal cortex," Nature, Nature, vol. 521(7550), pages 85-89, May.
    11. Yu, Ying & Zhang, Honghui & Zhang, Liyuan & Wang, Qingyun, 2019. "Dynamical role of pedunculopntine nucleus stimulation on controlling Parkinson’s disease," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 834-848.
    12. Klinshov, Vladimir V. & Kovalchuk, Andrey V. & Franović, Igor & Perc, Matjaž & Svetec, Milan, 2022. "Rate chaos and memory lifetime in spiking neural networks," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    13. Benoit Duchet & Filippo Ghezzi & Gihan Weerasinghe & Gerd Tinkhauser & Andrea A Kühn & Peter Brown & Christian Bick & Rafal Bogacz, 2021. "Average beta burst duration profiles provide a signature of dynamical changes between the ON and OFF medication states in Parkinson’s disease," PLOS Computational Biology, Public Library of Science, vol. 17(7), pages 1-42, July.
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