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ORIGINAL RESEARCH article

Front. Netw. Physiol.
Sec. Networks of Dynamical Systems
Volume 4 - 2024 | doi: 10.3389/fnetp.2024.1399347
This article is part of the Research Topic Network Physiology and Feedback Control View all 4 articles

Data-driven and equation-free methods for neurological disorders: Analysis and control of the striatum network

Provisionally accepted
Konstantinos Spiliotis Konstantinos Spiliotis 1,2*Rüdiger Köhling Rüdiger Köhling 3Wolfram Just Wolfram Just 2*Jens Starke Jens Starke 2
  • 1 Democritus University of Thrace, Komotini, Greece
  • 2 University of Rostock, Rostock, Mecklenburg-Vorpommern, Germany
  • 3 Rostock Medical Laboratory, Rostock, Mecklenburg-Vorpommern, Germany

The final, formatted version of the article will be published soon.

    The striatum as part of the basal ganglia is central to both motor, and cognitive functions. Here, we propose a large-scale biophysical network for this part of the brain, using modified Hodgkin-Huxley dynamics to model neurons, and a connectivity informed by a detailed human atlas.The model shows different spatio-temporal activity patterns corresponding to lower (presumably normal) and increased cortico-striatal activation (as found in e.g. obsessive-compulsive disorder), depending on the intensity of the cortical inputs. By applying equation-free methods, we are able to perform a macroscopic network analysis directly from microscale simulations. We identify the mean synaptic activity as the macroscopic variable of the system, which shows similarity with local field potentials. The equation-free approach results in a numerical bifurcation and stability analysis of the macroscopic dynamics of the striatal network. The different macroscopic states can be assigned to normal/healthy and pathological conditions, as known from neurological disorders. Finally, guided by the equation-free bifurcation analysis, we propose a therapeutic close loop control scheme for the striatal network.

    Keywords: Network physiology, equation free method, complex network dynamics, Obsessive compulsive disorders, Control of neurological disorders

    Received: 11 Mar 2024; Accepted: 16 Jul 2024.

    Copyright: © 2024 Spiliotis, Köhling, Just and Starke. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Konstantinos Spiliotis, Democritus University of Thrace, Komotini, 69100, Greece
    Wolfram Just, University of Rostock, Rostock, 18051, Mecklenburg-Vorpommern, Germany

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.