ArticlePloS one2017
Recurrent myocardial infarction: Mechanisms of free-floating adaptation and autonomic derangement in networked cardiac neural control.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 17 citations in OpenAlex.
- Computational modelling of cardiac control following myocardial infarction using an in silico patient cohort.The Journal of physiology · 2025Article
- Unpacking the multimodal, multi-scale data of the fast and slow lanes of the cardiac vagus through computational modelling.Experimental physiology · 2024Review
- Cardiac Neuroanatomy and Fundamentals of Neurocardiology.Cardiac electrophysiology clinics · 2024Review
- A multiscale predictive digital twin for neurocardiac modulation.The Journal of physiology · 2023Article
- The promise of cardiac neuromodulation: can computational modelling bridge the gap?The Journal of physiology · 2023Article
- A novel ex-vivo isolated rabbit heart preparation to explore the cardiac effects of cervical and cardiac vagus nerve stimulation.Scientific reports · 2023Article
- From Mice to Mainframes: Experimental Models for Investigation of the Intracardiac Nervous System.Journal of cardiovascular development and disease · 2021Review
- The SPARC DRC: Building a Resource for the Autonomic Nervous System Community.Frontiers in physiology · 2021Article
- Neuromodulation of Dorsal Root Ganglia: Chronic Pain Mitigation and Autonomic Implications.JACC. Basic to translational science · 2020Article
- Comparison of symptomatic and functional responses to vagus nerve stimulation in ANTHEM-HF, INOVATE-HF, and NECTAR-HF.ESC heart failure · 2020Article
- Changes in Resting and Exercise Hemodynamics Early After Heart Transplantation: A Simulation Perspective.Frontiers in physiology · 2020Article
- Quantitative proteomics reveal the alterations in the spinal cord after myocardial ischemia‑reperfusion injury in rats.International journal of molecular medicine · 2019Article
- Autonomic Nervous System Dysfunction: JACC Focus Seminar.Journal of the American College of Cardiology · 2019Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
The cardiac nervous system continuously controls cardiac function whether or not pathology is present. While myocardial infarction typically has a major and catastrophic impact, population studies have shown that longer-term risk for recurrent myocardial infarction and the related potential for sudden cardiac death depends mainly upon standard atherosclerotic variables and autonomic nervous system maladaptations. Investigative neurocardiology has demonstrated that autonomic control of cardiac function includes local circuit neurons for networked control within the peripheral nervous system. The structural and adaptive characteristics of such networked interactions define the dynamics and a new normal for cardiac control that results in the aftermath of recurrent myocardial infarction and/or unstable angina that may or may not precipitate autonomic derangement. These features are explored here via a mathematical model of cardiac regulation. A main observation is that the control environment during pathology is an extrapolation to a setting outside prior experience. Although global bounds guarantee stability, the resulting closed-loop dynamics exhibited while the network adapts during pathology are aptly described as 'free-floating' in order to emphasize their dependence upon details of the network structure. The totality of the results provide a mechanistic reasoning that validates the clinical practice of reducing sympathetic efferent neuronal tone while aggressively targeting autonomic derangement in the treatment of ischemic heart disease.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.