Impairment of LTP, LTD and Metaplasticity During the Early Stages of Alzheimer'S Disease: a Computational Study

Azam Shirrafiardekani; Hany Alashwal; Ahmed A. Moustafa

doi:10.1109/ICMLC58545.2023.10327966

Impairment of LTP, LTD and Metaplasticity During the Early Stages of Alzheimer'S Disease: a Computational Study

Azam Shirrafiardekani
, Hany Alashwal
, Ahmed A. Moustafa

Department of Computer Science and Software Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Alzheimer's disease is a common form of dementia that is caused by the accumulation of a protein called amyloid beta in the brain. This protein impairs certain mechanisms of information processing in the brain, such as long-term potentiation (LTP) and long-term depression (LTD), which play a critical role in the development of the disease. The exact mechanism underlying this effect is not yet known. In this study, a computational model is used to investigate the effect of blocking various potassium channels on the impairment of LTP and LTD during the early stages of Alzheimer's disease. The results suggest that the blockage of specific potassium channels during the early stages of Alzheimer's disease can lead to a reduction in LTP and an increase in LTD induction in dentate granule cells, which accelerates the development of the disease. These findings have implications for the treatment of Alzheimer's disease.

Original language	English
Title of host publication	Proceedings of 2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023
Publisher	IEEE Computer Society
Pages	165-171
Number of pages	7
ISBN (Electronic)	9798350303780
DOIs	https://doi.org/10.1109/ICMLC58545.2023.10327966
Publication status	Published - 2023
Event	2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023 - Adelaide, Australia Duration: Jul 9 2023 → Jul 11 2023

Publication series

Name	Proceedings - International Conference on Machine Learning and Cybernetics
ISSN (Print)	2160-133X
ISSN (Electronic)	2160-1348

Conference

Conference	2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023
Country/Territory	Australia
City	Adelaide
Period	7/9/23 → 7/11/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Alzheimer's Disease
Bioinformatics
Long-term Depression
Long-term Potentiation
Simulation

ASJC Scopus subject areas

Artificial Intelligence
Computational Theory and Mathematics
Computer Networks and Communications
Human-Computer Interaction

Access to Document

10.1109/ICMLC58545.2023.10327966

Cite this

Shirrafiardekani, A., Alashwal, H., & Moustafa, A. A. (2023). Impairment of LTP, LTD and Metaplasticity During the Early Stages of Alzheimer'S Disease: a Computational Study. In Proceedings of 2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023 (pp. 165-171). (Proceedings - International Conference on Machine Learning and Cybernetics). IEEE Computer Society. https://doi.org/10.1109/ICMLC58545.2023.10327966

Impairment of LTP, LTD and Metaplasticity During the Early Stages of Alzheimer'S Disease: a Computational Study. / Shirrafiardekani, Azam; Alashwal, Hany; Moustafa, Ahmed A.
Proceedings of 2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023. IEEE Computer Society, 2023. p. 165-171 (Proceedings - International Conference on Machine Learning and Cybernetics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shirrafiardekani, A, Alashwal, H & Moustafa, AA 2023, Impairment of LTP, LTD and Metaplasticity During the Early Stages of Alzheimer'S Disease: a Computational Study. in Proceedings of 2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023. Proceedings - International Conference on Machine Learning and Cybernetics, IEEE Computer Society, pp. 165-171, 2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023, Adelaide, Australia, 7/9/23. https://doi.org/10.1109/ICMLC58545.2023.10327966

Shirrafiardekani A, Alashwal H, Moustafa AA. Impairment of LTP, LTD and Metaplasticity During the Early Stages of Alzheimer'S Disease: a Computational Study. In Proceedings of 2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023. IEEE Computer Society. 2023. p. 165-171. (Proceedings - International Conference on Machine Learning and Cybernetics). doi: 10.1109/ICMLC58545.2023.10327966

Shirrafiardekani, Azam ; Alashwal, Hany ; Moustafa, Ahmed A. / Impairment of LTP, LTD and Metaplasticity During the Early Stages of Alzheimer'S Disease : a Computational Study. Proceedings of 2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023. IEEE Computer Society, 2023. pp. 165-171 (Proceedings - International Conference on Machine Learning and Cybernetics).

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Impairment of LTP, LTD and Metaplasticity During the Early Stages of Alzheimer'S Disease: a Computational Study

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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