Analyzing Hippocampal Neural Dynamics Under Acetylcholine Deficiency Related to Alzheimer’s Disease

Acetylcholine, as an important neurotransmitter, regulates neural excitability and discharge property distinctly, whose deficiency in the hippocampus can deteriorate cognitive and memory functions in Alzheimer’s Disease (AD). By establishing a hippocampal small-world network of pyramidal neurons and interneurons, this work aims to explore how acetylcholine deficiency influences the hippocampal neural dynamics from the perspective of neurocomputation. Based on some experimental results that acetylcholine can inhibit several [Formula: see text] channels in the pyramidal neuron via muscarinic receptors, we simulate acetylcholine deficiency by increasing the conductance [Formula: see text] of M-type (or [Formula: see text] of A-type) [Formula: see text] channel. The numerical results indicate that the enhancement of [Formula: see text] or [Formula: see text] can affect the pyramidal neuron dynamics in the individual node and network levels significantly. For the individual pyramidal neuron, its excitability and mean firing rate gradually decrease upon increasing [Formula: see text] or [Formula: see text], in particular, the neuron transitions from a firing state to a resting state when [Formula: see text] or [Formula: see text] increases over a threshold. Through dynamic bifurcation analysis, we find that the underlying dynamical mechanism behind these changes is attributed to sub-critical Andronov–Hopf or saddle-node bifurcations induced by acetylcholine deficiency. For pyramidal neurons in the network scale, acetylcholine deficiency can shift the network encoding mode from collective regular firing to bursting, and more importantly, the averaged mean firing rate and sample entropy of the network decrease significantly with severe acetylcholine deficiency. These results are consistent with previous studies reported in the electrophysiological experiments of AD. This work may help to deeply understand the AD pathogenesis of cholinergic hypothesis.

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Publication Details

Journal
International Journal of Bifurcation and Chaos
Published
2024-12-27
DOI
https://doi.org/10.1142/s0218127425500099
Citations
1
Primary Topic
Cholinesterase and Neurodegenerative Diseases
Type
article
Field-Weighted Citation Impact
0.45

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article

Analyzing Hippocampal Neural Dynamics Under Acetylcholine Deficiency Related to Alzheimer’s Disease

YuPeng Li, Xiaoli Yang, Hao Yang
1 citations
International Journal of Bifurcation and Chaos
Cholinesterase and Neurodegenerative Diseases
0.45
article

Analyzing Hippocampal Neural Dynamics Under Acetylcholine Deficiency Related to Alzheimer’s Disease

YuPeng Li, Xiaoli Yang, Hao Yang
article en
1 citations

Abstract

Acetylcholine, as an important neurotransmitter, regulates neural excitability and discharge property distinctly, whose deficiency in the hippocampus can deteriorate cognitive and memory functions in Alzheimer’s Disease (AD). By establishing a hippocampal small-world network of pyramidal neurons and interneurons, this work aims to explore how acetylcholine deficiency influences the hippocampal neural dynamics from the perspective of neurocomputation. Based on some experimental results that acetylcholine can inhibit several [Formula: see text] channels in the pyramidal neuron via muscarinic receptors, we simulate acetylcholine deficiency by increasing the conductance [Formula: see text] of M-type (or [Formula: see text] of A-type) [Formula: see text] channel. The numerical results indicate that the enhancement of [Formula: see text] or [Formula: see text] can affect the pyramidal neuron dynamics in the individual node and network levels significantly. For the individual pyramidal neuron, its excitability and mean firing rate gradually decrease upon increasing [Formula: see text] or [Formula: see text], in particular, the neuron transitions from a firing state to a resting state when [Formula: see text] or [Formula: see text] increases over a threshold. Through dynamic bifurcation analysis, we find that the underlying dynamical mechanism behind these changes is attributed to sub-critical Andronov–Hopf or saddle-node bifurcations induced by acetylcholine deficiency. For pyramidal neurons in the network scale, acetylcholine deficiency can shift the network encoding mode from collective regular firing to bursting, and more importantly, the averaged mean firing rate and sample entropy of the network decrease significantly with severe acetylcholine deficiency. These results are consistent with previous studies reported in the electrophysiological experiments of AD. This work may help to deeply understand the AD pathogenesis of cholinergic hypothesis.

International Journal of Bifurcation and ChaosVol. 35(01)
Shaanxi Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 29%
Cholinesterase and Neurodegenerative Diseases
0.45
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