ArticleCNS neuroscience & therapeutics2026
Evaluation of Cerebral Blood Flow and Cerebral Autoregulation Using Synthetic Data and In Silico Modeling.
Article in CNS neuroscience & therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
aimsThe classic view of static cerebral autoregulatory function suggests that cerebral blood flow (CBF) remains relatively stable across a wide range of mean arterial pressure (MAP). Recent studies propose a narrow autoregulatory range, as the methods used to manipulate MAP may also influence CBF. This study evaluates static cerebral autoregulatory function using simulations and synthetic data, providing a theoretical framework for understanding static autoregulatory mechanisms in controlled conditions.
methodsData for the relation between MAP and CBF were generated using a numerical model simulating the cardio and cerebrovascular systems and CBF regulation mechanisms. The influence of the cardio and cerebrovascular parameters on CBF was evaluated utilizing sensitivity analyses, and the independent effects of the hemodynamic parameters on CBF were assessed using partial regression analysis.
resultsSensitivity analysis showed that CBF is influenced by the systemic arteriolar resistance and arterial CO
conclusionSynthetic data and simulations are feasible to evaluate static cerebral autoregulation and provide a theoretical framework for understanding mechanisms in controlled conditions.
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