Evidence map›Paper›PMID 38340787›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2024

Unraveling diurnal and technical variability in cerebral hemodynamics from neurovascular 4D-Flow MRI.

Leonardo A Rivera-Rivera, Grant S Roberts, Anthony Peret, Rebecca E Langhough, Erin M Jonaitis, Lianlian Du, Aaron Field, Laura Eisenmenger, Sterling C Johnson, Kevin M Johnson

Open access · greenAbstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Human Cerebral Blood Flow Activity with Diurnal Variation Differentially Correlated with the Suprachiasmatic Nucleus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Leonardo A Rivera-RiveraWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Grant S RobertsDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Anthony PeretDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Rebecca E LanghoughWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Erin M JonaitisWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Lianlian DuWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Aaron FieldDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Laura EisenmengerDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Sterling C JohnsonWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Kevin M JohnsonWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
University of Wisconsin–Madison · US

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Wisconsin Registry for Alzheimer's Prevention: Sex Differences in DNA MethylationR01AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Nathaniel Ark Chin, Sterling C Johnson · 2007 to 2026
$35.6M
Wisconsin Alzheimer's Disease Research CenterP30AG062715 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI TOBEY JAMES BETTHAUSER · 2019 to 2026
$34.5M
The Longitudinal Course of Neural Function and Amyloid in People At Risk for ADR01AG021155 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Sterling C Johnson · 2004 to 2026
$27.0M
Institutional Career Development CoreKL2TR002374 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI Bo Liu, Marin Leigh Schweizer · 2017 to 2026
$9.7M
Non-Invasive Imaging Markers to Elicit the Role of Vascular Involvement in Alzheimer’s DiseaseR01AG075788 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Kevin Michael Johnson · 2022 to 2026
$3.2M
Characterizing the Effect of Altered CSF and Blood Flow Dynamics on Alzheimer’s Disease Proteinopathy, Brain Health, and CognitionR21AG077337 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RIVERA RIVERA, LEONARDO A · 2022 to 2022
$428k
Multi-Parametric Imaging of Systemic Cardiovascular and Cerebrovascular Health in Alzheimer's DiseaseF31AG071183 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI ROBERTS, GRANT S. · 2021 to 2022
$70k
NCATS NIH HHS KL2 TR002374NCATS NIH HHS UL1 TR002373NIA NIH HHS F31 AG071183NIA NIH HHS P30 AG062715NIA NIH HHS R01 AG021155NIA NIH HHS R01 AG027161NIA NIH HHS R01 AG075788NIA NIH HHS R21 AG077337
6 · The paper itself

Abstract

Neurovascular 4D-Flow MRI enables non-invasive evaluation of cerebral hemodynamics including measures of cerebral blood flow (CBF), vessel pulsatility index (PI), and cerebral pulse wave velocity (PWV). 4D-Flow measures have been linked to various neurovascular disorders including small vessel disease and Alzheimer's disease; however, physiological and technical sources of variability are not well established. Here, we characterized sources of diurnal physiological and technical variability in cerebral hemodynamics using 4D-Flow in a retrospective study of cognitively unimpaired older adults (N = 750) and a prospective study of younger adults (N = 10). Younger participants underwent repeated MRI sessions at 7am, 4 pm, and 10 pm. In the older cohort, having an MRI earlier on the day was significantly associated with higher CBF and lower PI. In prospective experiments, time of day significantly explained variability in CBF and PI; however, not in PWV. Test-retest experiments showed high CBF intra-session repeatability (repeatability coefficient (RPC) =7.2%), compared to lower diurnal repeatability (RPC = 40%). PI and PWV displayed similar intra-session and diurnal variability (PI intra-session RPC = 22%, RPC = 24% 7am vs 4 pm; PWV intra-session RPC = 17%, RPC = 21% 7am vs 4 pm). Overall, CBF measures showed low technical variability, supporting diurnal variability is from physiology. PI and PWV showed higher technical variability but less diurnal variability.

Indexed as

Cerebrovascular CirculationCircadian RhythmHemodynamicsMagnetic Resonance ImagingAdultAgedAged, 80 and overBlood Flow VelocityBrainFemaleHumansMaleMiddle AgedProspective StudiesPulsatile FlowPulse Wave Analysis4D-Flow MRICBFdiurnal variationspulsatilitypulse wave velocity

Identifiers

PMID38340787
PMCPMC11342721
OpenAlexW4392730630

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.