Higher-Order Adaptive Dynamical System Modeling for the Role of Environmental Neurotoxic Pesticide Paraquat on the Epigenetics of Neurodegeneration in N27 Dopaminergic Cells

Bana Al Khayrat, Jan Treur*

*Corresponding author for this work

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

Abstract

In this study, we developed a fifth-order adaptive self-modelling network model to describe the association of paraquat in epigenetic pathways potentially leading to dopaminergic neuronal loss, one of the most important hallmarks of Parkinson’s disease (PD). This model is based on the structure and relevant biological processes in the animal and human brains.

Original languageEnglish
Title of host publicationBrain Informatics
Subtitle of host publication17th International Conference, BI 2024, Bangkok, Thailand, December 13–15, 2024, Proceedings, Part I
EditorsSirawaj Itthipuripat, Giorgio A. Ascoli, Anan Li, Narun Pat, Hongzhi Kuai
PublisherSpringer Nature
Pages326-337
Number of pages12
Volume1
ISBN (Electronic)9789819632947
ISBN (Print)9789819632930
DOIs
Publication statusPublished - 2025
Event17th International Conference on Brain Informatics, BI 2024 - Bangkok, Thailand
Duration: 13 Dec 202415 Dec 2024

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume15541 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameBI: International Conference on Brain Informatics
PublisherSpringer
Volume2024

Conference

Conference17th International Conference on Brain Informatics, BI 2024
Country/TerritoryThailand
CityBangkok
Period13/12/2415/12/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

Keywords

  • epigenetics
  • higher-order adaptive network model
  • neurodegeneration
  • Parkinson’s disease

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