ArticleBrain sciences2023
Investigation of Autonomic Dysfunction in Alzheimer's Disease-A Computational Model-Based Approach.
Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 9 citations in OpenAlex.
- Prefrontal hemodynamic alterations during resting state and stroop interference in cognitively healthy older adults with high plasma pTau-217 levels.Neuroimage. Reports · 2026Article
- Electrodermal Activity as a Potential Diagnostic Biomarker for Alzheimer's Disease: A Pilot Study.Sensors (Basel, Switzerland) · 2026Article
- Cardiovascular Disease Subtypes and Alzheimer's Disease: Phenotypic and Genetic Associations in the UK Biobank and All of Us Research Program.Journal of the American Heart Association · 2026Article
- The bidirectional mechanistic links between Alzheimer's disease and cardiovascular disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Review
- Review
- Stress, stress systems, and Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Review
- Predicting Long-Term Depression Progression in Parkinson's Disease: A Machine-Learning Survival Analysis and Risk Score.CNS neuroscience & therapeutics · 2026Article
- Phenotypic and Genetic Associations Between Cardiovascular Disease Subtypes and Alzheimer's Disease.medRxiv : the preprint server for health sciences · 2025Article
- Dysautonomia in Alzheimer's Disease: A Systematic Review.Brain sciences · 2025Review
- A New Perspective on Agitation in Alzheimer's Disease: A Potential Paradigm Shift.International journal of molecular sciences · 2025Article
- Tilt-induced changes in f-wave characteristics during atrial fibrillation: an experimental and computational investigation.Frontiers in physiology · 2025Article
- Central autonomic network dysfunction and plasma Alzheimer's disease biomarkers in older adults.Alzheimer's research & therapy · 2024Article
- Autonomic Nervous System and Sarcopenia in Elderly Patients: Insights from Long-Term Heart Rate Variability Monitoring in a Hospital Setting.International journal of general medicine · 2024Article
- The Effects of Autonomic Dysfunction on Functional Outcomes in Patients with Acute Stroke.Brain sciences · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
(1) Background and Objective: Alzheimer's disease (AD) is commonly accompanied by autonomic dysfunction. Investigating autonomic dysfunction's occurrence patterns and severity may aid in making a distinction between different dementia subtypes, as cardiac autonomic dysfunction and AD severity are correlated. Heart rate variability (HRV) allows for a non-invasive assessment of the autonomic nervous system (ANS). AD is characterized by cholinergic depletion. A computational model of ANS based on the kinetics of acetylcholine and norepinephrine is used to simulate HRV for various autonomic states. The model has the flexibility to suitably modulate the concentration of acetylcholine corresponding to different autonomic states. (2) Methods: Twenty clinically plausible AD patients are compared to 20 age- and gender-matched healthy controls using HRV measures. Statistical analysis is performed to identify the HRV parameters that vary significantly in AD. By modulating the acetylcholine concentration in a controlled manner, different autonomic states of Alzheimer's disease are simulated using the ANS model. (3) Results: In patients with AD, there is a significant decrease in vagal activity, sympathovagal imbalance with a dominant sympathetic activity, and change in the time domain, frequency domain, and nonlinear HRV characteristics. Simulated HRV features corresponding to 10 progressive states of AD are presented. (4) Conclusions: There is a significant difference in the HRV features during AD. As cholinergic depletion and autonomic dysfunction have a common neurological basis, autonomic function assessment can help in diagnosis and assessment of AD. Quantitative models may help in better comprehending the pathophysiology of the disease and assessment of its progress.
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