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September 27, 2025Nature Cardiovascular Research5 citationsOpen Access

Assessing cerebral microvascular volumetric with high-resolution 4D cerebral blood volume MRI at 7 T

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FGFanhua GuoCZChenyang ZhaoQSQinyang Shou

Key Points

  • Microvascular volumetric pulsatility index (mvPI) was quantified using high-resolution 4D MRI, showing significant aging-related changes.
  • In older participants, deep white matter mvPI was notably higher than in young adults, indicating enhanced pulsatility with age.
  • Correlation was found between deep WM mvPI and large artery volumetric pulsatility index, suggesting a relationship between cerebral circulatory dynamics.
  • The method demonstrated high reproducibility and accuracy, supporting its potential for non-invasive in vivo assessments in clinical settings.

Abstract

Arterial pulsation is crucial for promoting neurofluid circulation. Most previous studies quantified pulsatility via blood velocity-based indices in large arteries. Here we propose an innovative method to quantify the microvascular volumetric pulsatility index (mvPI) across cortical layers and white matter (WM) using high-resolution four-dimensional (4D) vascular space occupancy (VASO) and arterial spin labeling (ASL) magnetic resonance imaging (MRI) at 7 T with simultaneous pulse recording. We assessed aging-related changes in mvPI in 11 young (28.4 ± 5.8 years) and 12 older (60.2 ± 6.8 years) participants and compared mvPI with large artery pulsatility assessed by 4D-flow MRI. mvPI peaked in the pial surface (0.18 ± 0.04). Deep WM mvPI was significantly higher in older participants (P = 0.006) than young ones. Deep WM mvPI correlated with large artery velocity PI (r = 0.56, P = 0.0099). We performed test-retest scans, non-parametric reliability test and simulations to demonstrate the reproducibility and accuracy of the method. In conclusion, our non-invasive method enables in vivo fine-grained measurement of mvPI, with implications for glymphatic function, aging and neurodegenerative diseases.

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Cite This Study

Guo et al. (2025) studied this question.

synapsesocial.com/papers/68d7e84439bbb06045426c86https://doi.org/10.1038/s44161-025-00722-1
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