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<p>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 (<i>P</i> = 0.006) than young ones. Deep WM mvPI correlated with large artery velocity PI (<i>r</i> = 0.56, <i>P</i> = 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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年9月25日

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  • Fanhua Guo,
  • Chenyang Zhao,
  • Qinyang Shou,
  • Ning Jin,
  • Kay Jann,
  • Xingfeng Shao,
  • Danny JJ Wang

摘要

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.