Parameter quantification for oxygen transport in the human brain DOI Creative Commons
Yun Bing, Tamás Józsa, Stephen J. Payne

et al.

Computer Methods and Programs in Biomedicine, Journal Year: 2024, Volume and Issue: 257, P. 108433 - 108433

Published: Sept. 24, 2024

Oxygen is carried to the brain by blood flow through generations of vessels across a wide range length scales. This multi-scale nature and oxygen transport poses challenges on investigating mechanisms underlying both healthy pathological states imaging techniques alone. Recently, models describing whole perfusion have been developed. Such rely effective parameters that represent microscopic properties. While characterised, those for are still lacking. In this study, we set quantify associated with their uncertainties.

Language: Английский

The pulsing brain: state of the art and an interdisciplinary perspective DOI Creative Commons
Andrea Lecchini‐Visintini, Jaco J.M. Zwanenburg, Qiuting Wen

et al.

Interface Focus, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 4, 2025

Understanding the pulsing dynamics of tissue and fluids in intracranial environment is an evolving research theme aimed at gaining new insights into brain physiology disease progression. This article provides overview related magnetic resonance imaging, ultrasound medical diagnostics mathematical modelling biological tissues fluids. It highlights recent developments, illustrates current goals emphasizes importance collaboration between these fields.

Language: Английский

Citations

1
Dynamic cerebral autoregulation is governed by two time constants: Arterial transit time and feedback time constant DOI
Stephen J. Payne

The Journal of Physiology, Journal Year: 2024, Volume and Issue: 602(9), P. 1953 - 1966

Published: April 17, 2024

Abstract Dynamic cerebral autoregulation (dCA) is the mechanism that describes how brain maintains blood flow approximately constant in response to short‐term changes arterial pressure. This known be impaired many different pathological conditions, including ischaemic and haemorrhagic stroke, dementia traumatic injury. Many approaches have thus been used both analyse quantify this a range of healthy diseased subjects, data‐driven models (in time frequency domain) biophysical models. However, despite substantial body work on dCA, there remains little links two together. One reasons for proposed discrepancies between constants govern dCA experimental data. In study, processes are examined it application limited due lack understanding about physical being modelled, partly specific model formulation has most widely (the equivalent electrical circuit). Based analysis presented here, important transit feedback constant. It therefore revisit circuit develop more physiologically realistic alternative, one can easily related image Key points governed by constants. The first time, rather than traditional ‘RC’ previous 1 s brain. second constant, which less accurately known, although somewhat larger time. dynamic should replaced with representative model.

Language: Английский

Citations

4
Using Approximate Bayesian Computation to Calibrate the Model Parameters Characterizing the Autoregulatory Behavior of Microvessels DOI Creative Commons
Ali Daher

International Journal for Numerical Methods in Biomedical Engineering, Journal Year: 2025, Volume and Issue: 41(3)

Published: March 1, 2025

ABSTRACT This study aims to leverage available experimental data on the myogenic and endothelial responses of microvessels calibrate parameters refine functional form compliance feedback model. The used in this trace changes vessel calibre individual arteriolar vessels response intraluminal pressure and/or gradient, which correspond mechanisms, respectively. model was previously developed characterize elastic autoregulatory behavior microvessels. We devise employ a two‐stage sequential Monte Carlo (MC) approximate Bayesian computation (ABC) scheme obtain posterior distribution model's parameters, such that final parameter space integrates information from any prior knowledge dynamics, data. Furthermore, calibration provides key insights into underlying mechanistic features dynamical system; namely, ABC reveals there is marked difference time constants between myogenic‐induced dilation constriction. Overall, upon calibration, computationally low‐cost achieves very good agreement with measurements, despite limited availability, demonstrating simple, compact, yet robust physiologically grounded characterization response, all are essential attributes increase translatability hemodynamic models clinical environment for future applications.

Language: Английский

Citations

0
Multi‐scale modelling of the effects of ageing, hypertension and exercise on the cerebral vasculature DOI
Stephen J. Payne

The Journal of Physiology, Journal Year: 2025, Volume and Issue: unknown

Published: April 13, 2025

Ageing and hypertension both have substantial, well-documented effects on the cerebral vasculature. The of aerobic exercise cerebrovascular function development, although less well understood, also recently received significantly increased attention. There is now clear evidence that yields short- long-term changes to health, with significant potential improve population brain health. However, there has as yet been no mathematical model this, making it challenging quantify exercise. One reason for this very different time scales between (minutes/hours) development (years/decades). Here, a new proposed, one incorporates short-term within longer scale. calibrated against various experimental data sources used ageing, hypertension, interventions lifetime predicts high-intensity positive effect health; antihypertensive treatment even after prolonged periods hypertension; can strongly interact each other. This provides foundation future quantitative investigations into critical role other in KEY POINTS: Exercise vasculature, which counterbalance negative ageing hypertension. A presented all three using multiple include effects. range regimes health first time. be explore lifestyles

Language: Английский

Citations

0
Static and dynamic analysis of cerebral blood flow in fifty-six large arterial vessel networks DOI Creative Commons

Yuan-Chung Chou,

Stephen J. Payne

Physiological Measurement, Journal Year: 2024, Volume and Issue: 45(7), P. 075004 - 075004

Published: June 25, 2024

The cerebral vasculature is formed of an intricate network blood vessels over many different length scales. Changes in their structure and connection are implicated multiple cerebrovascular neurological disorders. In this study, we present a novel approach to the quantitative analysis macrovasculature using computational mathematical tools large dataset.

Language: Английский

Citations

0
Mathematical Models of the Cerebral Microcirculation in Health and Pathophysiology DOI
Stephen J. Payne

SEMA SIMAI Springer series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 21

Published: Jan. 1, 2024

Language: Английский

Citations

0
Parameter quantification for oxygen transport in the human brain DOI Creative Commons
Yun Bing, Tamás Józsa, Stephen J. Payne

et al.

Computer Methods and Programs in Biomedicine, Journal Year: 2024, Volume and Issue: 257, P. 108433 - 108433

Published: Sept. 24, 2024

Oxygen is carried to the brain by blood flow through generations of vessels across a wide range length scales. This multi-scale nature and oxygen transport poses challenges on investigating mechanisms underlying both healthy pathological states imaging techniques alone. Recently, models describing whole perfusion have been developed. Such rely effective parameters that represent microscopic properties. While characterised, those for are still lacking. In this study, we set quantify associated with their uncertainties.

Language: Английский

Citations

0