Evidence map›Paper›PMID 40999238›Full record

ArticleNature cardiovascular research2025

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

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

Abstract readComparative Study
In one paragraph

Article in Nature cardiovascular research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Fanhua Guo *Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0009-0003-3968-8455
Chenyang Zhao *Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Qinyang ShouLaboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-3343-3895
Ning JinSiemens Healthcare USA, Malvern, PA, USA.
Kay JannLaboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Xingfeng ShaoLaboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Danny Jj WangLaboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. jj.wang@loni.usc.edu.ORCID http://orcid.org/0000-0002-0840-7062

Funding

Validation of Imaging and Blood-based Small Vessel VCID Biomarkers in Multiethnic PopulationU01NS100614 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KASHANI, AMIR H, RINGMAN, JOHN M · 2023 to 2025
$3.9M
Validation of Imaging and Blood-based Small Vessel VCID Biomarkers in Multiethnic PopulationUF1NS100614 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KASHANI, AMIR H, RINGMAN, JOHN M · 2021 to 2021
$2.6M
Imaging Cerebral Small Vessels in Vascular Cognitive Impairment and Dementia (VCID)RF1AG084072 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JIANG, XUEJUAN, SHI, YONGGANG · 2023 to 2023
$2.5M
Laminar Perfusion ImagingR01EB032169 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Danny JJ WANG · 2021 to 2026
$2.5M
Multiband ASL for Neurodevelopment StudyR01EB028297 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WANG, DANNY JJ · 2019 to 2023
$2.2M
Non-invasive MRI mapping of BBB water exchange rate and permeabilityR01NS134712 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Danny JJ WANG · 2024 to 2026
$2.1M
Characterization of neurovascular and neurometabolic coupling of the negative BOLD response in humanR01NS121040 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI JungHwan Kim · 2022 to 2026
$1.9M
BBB Permeability Imaging in CADASILR01NS114382 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WANG, DANNY JJ · 2020 to 2024
$1.2M
NOVA PTX Coil for Ultrahigh Field ImagingS10OD025312 · OD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WANG, DANNY JJ · 2018 to 2018
$330k
NIA NIH HHS RF1 AG084072NIBIB NIH HHS R01 EB028297NIBIB NIH HHS R01 EB032169NIH HHS S10 OD025312NINDS NIH HHS R01 NS114382NINDS NIH HHS R01 NS121040NINDS NIH HHS R01 NS134712NINDS NIH HHS U01 NS100614NINDS NIH HHS UF1 NS100614NSF | NSF Office of the Director | Office of Diversity and Inclusion (ODI) S10-OD025312U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) R01-EB032169, R01-EB028297U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) RF1-AG084072
6 · The paper itself

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.

Indexed as

Cerebral Blood VolumeCerebrovascular CirculationMagnetic Resonance ImagingMicrocirculationMicrovesselsWhite MatterAdultAgedAge FactorsAgingBlood Flow VelocityFemaleHumansMaleMiddle AgedPulsatile FlowSpin Labels

Identifiers

PMID40999238
PMCPMC12520978

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.