Front Waves of Chemical Reactions and Travelling Waves of Neural Activity

Authors

  • Yidi Zhang Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China
  • Shan Guo Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China
  • Mingzhu Sun Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China
  • Lucio Mariniello Department of Pediatrics, University Federico II, Naples. llCenter for Nonlinear Science, Department of Physics, University of North Texas, Denton, USA
  • Arturo Tozzi Center for Nonlinear Science, Department of Physics, University of North Texas, Denton, USA https://orcid.org/0000-0001-8426-4860
  • Xin Zhao Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China

DOI:

https://doi.org/10.5281/zenodo.7254050

Abstract

Travelling waves crossing the nervous networks at mesoscopic/macroscopic scales have been correlated with different brain functions, from long-term memory to visual stimuli. Here we investigate a feasible relationship between wave generation/propagation in recurrent nervous networks and a physical/chemical model, namely the Belousov–Zhabotinsky reaction (BZ). Since BZ’s nonlinear, chaotic chemical process generates concentric/intersecting waves that closely resemble the diffusive nonlinear/chaotic oscillatory patterns crossing the nervous tissue, we aimed to investigate whether wave propagation of brain oscillations could be described in terms of BZ features. We compared experimentally detected oscillations during the spontaneous activity of the brain with BZ-like concentric waves simulated by a recently introduced artificial network.  The observed overlap and agreement between simulated and measured oscillatory patterns suggests that changes in cortical areas’ neural activity might be described in terms of a recognizable diffusion pattern.  We describe biological plausibility, benefits and limits of our approach and discuss the relationship among BZ-like networks, Pandemonium-like architectures and the spontaneous activity of the brain.

Keywords:

central nervous system; chaos; chemical reaction; spontaneous activity; BOLD activity; nonlinear dynamics.

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Author Biographies

Yidi Zhang, Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China

Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China

Shan Guo, Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China

Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China

Mingzhu Sun, Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China

Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China

Lucio Mariniello, Department of Pediatrics, University Federico II, Naples. llCenter for Nonlinear Science, Department of Physics, University of North Texas, Denton, USA

Department of Pediatrics, University Federico II, Naples.  llCenter for Nonlinear Science, Department of Physics, University of North Texas, Denton, USA

Arturo Tozzi, Center for Nonlinear Science, Department of Physics, University of North Texas, Denton, USA

Center for Nonlinear Science, Department of Physics, University of North Texas, Denton, USA

Xin Zhao, Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China

Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China

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Published

26.10.2022

How to Cite

Zhang, Y., Guo, S., Sun, M., Mariniello, L., Tozzi, A., & Zhao, X. (2022). Front Waves of Chemical Reactions and Travelling Waves of Neural Activity. Journal of NeuroPhilosophy, 1(2). https://doi.org/10.5281/zenodo.7254050

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