TY - GEN
T1 - Higher-Order Adaptive Dynamical System Modeling of the Role of Epigenetics in Substance Use Disorder
AU - Schlöder, Dominik
AU - Hendrikse, Sophie C.F.
AU - Treur, Jan
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - In this paper, we present a higher-order adaptive self-modelling network model developed to explain the role of epigenetics in the development and progression of Substance Use Disorder (SUD), particularly concerning cocaine addiction. The model includes multiple adaptive levels to simulate the complex dynamics of addiction progression, where pathways of higher orders of adaptivity adjust and regulate the characteristics of those in lower orders. This higher-order adaptive dynamical system is constructed following the self-modeling network model principle and is based on relevant neurobiological processes, including the role of the transcription factor CREB on the prodynorphin gene that is vital in modulating the epigenetic changes induced by cocaine abuse, which contribute to the persistent, long-term effects on the brain and behavior of an individual.
AB - In this paper, we present a higher-order adaptive self-modelling network model developed to explain the role of epigenetics in the development and progression of Substance Use Disorder (SUD), particularly concerning cocaine addiction. The model includes multiple adaptive levels to simulate the complex dynamics of addiction progression, where pathways of higher orders of adaptivity adjust and regulate the characteristics of those in lower orders. This higher-order adaptive dynamical system is constructed following the self-modeling network model principle and is based on relevant neurobiological processes, including the role of the transcription factor CREB on the prodynorphin gene that is vital in modulating the epigenetic changes induced by cocaine abuse, which contribute to the persistent, long-term effects on the brain and behavior of an individual.
KW - CREB
KW - Dynorphin
KW - Epigenetics
KW - Network-Oriented Modeling
KW - Prodynorphin
KW - Substance Use Disorder
UR - https://www.scopus.com/pages/publications/85213362953
UR - https://www.scopus.com/pages/publications/85213362953#tab=citedBy
U2 - 10.1007/978-3-031-76516-2_35
DO - 10.1007/978-3-031-76516-2_35
M3 - Conference contribution
AN - SCOPUS:85213362953
SN - 9783031765155
SN - 9783031765186
T3 - Studies in Computational Intelligence
SP - 358
EP - 368
BT - Biologically Inspired Cognitive Architectures 2024
A2 - Samsonovich, Alexei V.
A2 - Liu, Tingting
PB - Springer Nature Switzerland AG
T2 - 15th Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, BICA*AI 2024, collocated with the 17th Conference on Artificial General Intelligence, AGI 2024
Y2 - 13 August 2024 through 16 August 2024
ER -