Abstract

Cerebrovascular reactivity (CVR) is used as an outcome measure of brain health. Traditionally, lower CVR is associated with ageing, poor fitness and brain-related conditions (e.g. stroke, dementia). Indeed, CVR is suggested as a biomarker for disease risk. However, recent findings report conflicting associations between ageing or fitness and CVR measures. Inconsistent findings may relate to different neuroimaging modalities used, which include transcranial Doppler (TCD) and blood-oxygen-level-dependant (BOLD) contrast magnetic resonance imaging (MRI). We assessed the relationship between CVR metrics derived from two common imaging modalities, TCD and BOLD MRI, within the same individuals and with expected significant differences (i.e., younger vs. older) to maximise the expected spread in measures. We conducted two serial studies using TCD- and MRI-derived measures of CVR (via inspired 5% CO2 in air). Study 1 compared 20 younger (24 ± 7 years) with 15 older (66 ± 7 years) participants, Study 2 compared 10 younger (22 ± 2 years) with 10 older (72 ± 4 years) participants. Combining the main measures across studies, no significant correlation (r = 0.15, p = 0.36) was observed between individual participant TCD- and BOLD-CVR measures. Further, these measures showed differential effects between age groups; with TCD-CVR higher in the older compared to younger group (4 ± 1 vs. 3 ± 1 %MCAv/mmHg PETCO2; p < 0.05, Hedges’ g = 0.75), whereas BOLD-CVR showed no difference (p = 0.104, Hedges’ g = 0.38). In Study 2 additional measures were obtained to understand the origin of the discrepancy: phase contrast angiography (PCA) MRI of the middle cerebral artery, showed a significantly lower blood flow (but not velocity) CVR response in older compared with younger participants (p > 0.05, Hedges’ g = 1.08). The PCA CVR metrics did not significantly correlate with the BOLD- or TCD-CVR measures. The differing CVR observations between imaging modalities were despite expected, correlated (r = 0.62–0.82), age-related differences in resting CBF measures across modalities. Taken together, findings across both studies show no clear relationship between TCD- and BOLD-CVR measures. We hypothesize that CVR differences between imaging modalities are in part due to the aspects of the vascular tree that are assessed (TCD:arteries; BOLD:venules/veins). Further work is needed to understand the between-modality CVR response differences, but caution is needed when comparing CVR metrics derived from different imaging modalities.

Highlights

  • The methods chosen through which to assess brain health and individual vascular disease risk, as well as the efficacy of approaches to improve brain health are important areas of research to improve the healthspan of individuals

  • cerebrovascular reactivity (CVR) metrics derived from both Transcranial Doppler (TCD) and blood oxygen level dependant (BOLD)-Magnetic Resonance Imaging (MRI) measures are reported to be a biomarker of brain health (e.g., Kleiser and Widder, 1992; Sur et al, 2020), and even shown to have prognostic value for stroke risk (Silvestrini et al, 2000; Portegies et al, 2014; Smeeing et al, 2016)

  • We assessed other MRI metrics of cerebral blood flow (CBF) in order to compare how more direct measures of CBF align with TCD-derived CVR, and resting measures between our groups

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Summary

Introduction

The methods chosen through which to assess brain health and individual vascular disease risk (e.g., stroke), as well as the efficacy of approaches to improve brain health are important areas of research to improve the healthspan of individuals (i.e., the period of one’s life that is healthy). CVR is the reactivity of blood vessels in the brain to an external isometabolic (i.e., no change in brain metabolism) stimulus. The idea is to assess how cerebral blood flow (CBF) changes when a stimulus is presented. By taking the ratio of the relative change in CBF to the change in PETCO2, the relative CVR is found. This CVR measure gives a metric of the regulatory function of the brain’s vasculature (Fierstra et al, 2013)

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