An adaptive network model of the role of the gut-brain axis in parkinson's disease

Catherine Goetzinger, Korinzia Toniolo*, Jan Treur

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents an adaptive network model of the brain-gut axis and its related mechanisms that play major roles in the development of Parkinson's Disease. Simulations gave useful insight into how the biological and mental pathways interact with each other. In addition, the model provides information on the different time spans that are taken into consideration within these processes.

Original languageEnglish
Title of host publicationModern Management Based on Big Data II and Machine Learning and Intelligent Systems III - Proceedings of MMBD 2021 and MLIS 2021
EditorsAntonio J. Tallon-Ballesteros
PublisherIOS Press BV
Pages596-604
Number of pages9
ISBN (Electronic)9781643682242
DOIs
Publication statusPublished - 29 Oct 2021
Event2nd Conference on Modern Management Based on Big Data, MMBD 2021 and 3rd Conference on Machine Learning and Intelligent Systems, MLIS 2021 - Virtual, Online, China
Duration: 8 Nov 202111 Nov 2021

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume341
ISSN (Print)0922-6389

Conference

Conference2nd Conference on Modern Management Based on Big Data, MMBD 2021 and 3rd Conference on Machine Learning and Intelligent Systems, MLIS 2021
Country/TerritoryChina
CityVirtual, Online
Period8/11/2111/11/21

Keywords

  • Adaptive network model
  • Brain-Gut axis
  • Parkinson's Disease
  • Self-modeling network

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