Dynamic cerebral autoregulation is governed by two time constants: Arterial transit time and feedback time constant

Abstract

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

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

“…This is a much larger value that predicted by the results here and indicates that the phase shift must be introduced elsewhere in the cerebral circulation rather than in the large arterial vessels. This is an important result in the context of understanding the mechanisms that control dCA, in particular in terms of the time constants that are involved in the dCA response, (Payne 2024).…”