TY - GEN
T1 - Impairment of LTP, LTD and Metaplasticity During the Early Stages of Alzheimer'S Disease: a Computational Study
AU - Shirrafiardekani, Azam
AU - Alashwal, Hany
AU - Moustafa, Ahmed A.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/7
Y1 - 2023/7
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85179851027&partnerID=8YFLogxK
U2 - 10.1109/ICMLC58545.2023.10327966
DO - 10.1109/ICMLC58545.2023.10327966
M3 - Conference contribution
AN - SCOPUS:85179851027
SN - 9798350303797
T3 - Proceedings - International Conference on Machine Learning and Cybernetics
SP - 165
EP - 171
BT - Proceedings of 2023 International Conference on Machine Learning and Cybernetics
PB - IEEE Computer Society
T2 - 2023 International Conference on Machine Learning and Cybernetics
Y2 - 9 July 2023 through 11 July 2023
ER -