ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2016
Multiple-input nonlinear modelling of cerebral haemodynamics using spontaneous arterial blood pressure, end-tidal CO2 and heart rate measurements.
Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Relationship between the amplitudes of cerebral blood flow velocity and intracranial pressure using linear and non-linear approach.Journal of clinical monitoring and computing · 2025Article
- Exploration of simultaneous transients between cerebral hemodynamics and the autonomic nervous system using windowed time-lagged cross-correlation matrices: a CENTER-TBI study.Acta neurochirurgica · 2024Article
- Exploration of simultaneous transients between cerebral hemodynamics and the autonomic nervous system using windowed time-lagged cross-correlation matrices: a CENTER-TBI study.Acta neurochirurgica · 2024Article
- Exploration of simultaneous transients between cerebral hemodynamics and the autonomic nervous system using windowed time-lagged cross-correlation matrices: a CENTER-TBI study.Acta neurochirurgica · 2024Article
- Data-based modeling of cerebral hemodynamics quantifies impairment of cerebral blood flow regulation in type-2 diabetes.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024Article
- Time-domain methods for quantifying dynamic cerebral blood flow autoregulation: Review and recommendations. A white paper from the Cerebrovascular Research Network (CARNet).Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024Review
- Dynamic cerebral autoregulation is preserved during orthostasis and intrathoracic pressure regulation in healthy subjects: A pilot study.Physiological reports · 2024Article
- Time-Series Modeling and Forecasting of Cerebral Pressure-Flow Physiology: A Scoping Systematic Review of the Human and Animal Literature.Sensors (Basel, Switzerland) · 2024Article
- The INfoMATAS project: Methods for assessing cerebral autoregulation in stroke.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022Review
- The Dynamic Relationship Between Cortical Oxygenation and End-TidalFrontiers in physiology · 2021Article
- Quantification of dynamic cerebral autoregulation and COJournal of applied physiology (Bethesda, Md. : 1985) · 2020Article
- Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?PloS one · 2020Article
- Comparing model-based cerebrovascular physiomarkers with DTI biomarkers in MCI patients.Brain and behavior · 2019Article
- Dynamic cerebral autoregulation is preserved during isometric handgrip and head-down tilt in healthy volunteers.Physiological reports · 2018Article
- CrossTalk opposing view: dynamic cerebral autoregulation should be quantified using induced (rather than spontaneous) blood pressure fluctuations.The Journal of physiology · 2018Article
- Characterisation of ictal and interictal states of epilepsy: A system dynamic approach of principal dynamic modes analysis.PloS one · 2018Article
- Uncovering brain-heart information through advanced signal and image processing.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2016Article
- Detection of Impaired Sympathetic Cerebrovascular Control Using Functional Biomarkers Based on Principal Dynamic Mode Analysis.Frontiers in physiology · 2016Article
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4 authors.
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Abstract
In order to examine the effect of changes in heart rate (HR) upon cerebral perfusion and autoregulation, we include the HR signal recorded from 18 control subjects as a third input in a two-input model of cerebral haemodynamics that has been used previously to quantify the dynamic effects of changes in arterial blood pressure and end-tidal CO2upon cerebral blood flow velocity (CBFV) measured at the middle cerebral arteries via transcranial Doppler ultrasound. It is shown that the inclusion of HR as a third input reduces the output prediction error in a statistically significant manner, which implies that there is a functional connection between HR changes and CBFV. The inclusion of nonlinearities in the model causes further statistically significant reduction of the output prediction error. To achieve this task, we employ the concept of principal dynamic modes (PDMs) that yields dynamic nonlinear models of multi-input systems using relatively short data records. The obtained PDMs suggest model-driven quantitative hypotheses for the role of sympathetic and parasympathetic activity (corresponding to distinct PDMs) in the underlying physiological mechanisms by virtue of their relative contributions to the model output. These relative PDM contributions are subject-specific and, therefore, may be used to assess personalized characteristics for diagnostic purposes.
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