Evidence map›Paper›PMID 39215377›Full record

ArticleFluids and barriers of the CNS2024

CSF dynamics throughout the ventricular system using 4D flow MRI: associations to arterial pulsatility, ventricular volumes, and age.

Tomas Vikner, Kevin M Johnson, Robert V Cadman, Tobey J Betthauser, Rachael E Wilson, Nathaniel Chin, Laura B Eisenmenger, Sterling C Johnson, Leonardo A Rivera-Rivera

Abstract read
In one paragraph

Article in Fluids and barriers of the CNS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  19. Fluid dynamics model of the cerebral ventricular system.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

9 authors.

Tomas ViknerDepartment of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53792, USA.
Kevin M JohnsonDepartment of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53792, USA.
Robert V CadmanWisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53792, USA.
Tobey J BetthauserWisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53792, USA.
Rachael E WilsonWisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53792, USA.
Nathaniel ChinWisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53792, USA.
Laura B EisenmengerDepartment of Radiology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53726, USA.
Sterling C JohnsonWisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53792, USA.
Leonardo A Rivera-RiveraDepartment of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53792, USA. larivera@medicine.wisc.edu.

Funding

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
Alzheimer's Association AARFD-20-678095Hjärnfonden PS2023-0047National Institutes of Health, United States KL2TR002374National Institutes of Health, United States R01AG027161National Institutes of Health, United States R01AG075788National Institutes of Health, United States R21AG077337NIA NIH HHS R01 AG075788NIA NIH HHS R21 AG077337
6 · The paper itself

Abstract

backgroundCerebrospinal fluid (CSF) dynamics are increasingly studied in aging and neurological disorders. Models of CSF-mediated waste clearance suggest that altered CSF dynamics could play a role in the accumulation of toxic waste in the CNS, with implications for Alzheimer's disease and other proteinopathies. Therefore, approaches that enable quantitative and volumetric assessment of CSF flow velocities could be of value. In this study we demonstrate the feasibility of 4D flow MRI for simultaneous assessment of CSF dynamics throughout the ventricular system, and evaluate associations to arterial pulsatility, ventricular volumes, and age.

methodsIn a cognitively unimpaired cohort (N = 43; age 41-83 years), cardiac-resolved 4D flow MRI CSF velocities were obtained in the lateral ventricles (LV), foramens of Monro, third and fourth ventricles (V3 and V4), the cerebral aqueduct (CA) and the spinal canal (SC), using a velocity encoding (venc) of 5 cm/s. Cerebral blood flow pulsatility was also assessed with 4D flow (venc = 80 cm/s), and CSF volumes were obtained from T1- and T2-weighted MRI. Multiple linear regression was used to assess effects of age, ventricular volumes, and arterial pulsatility on CSF velocities.

resultsCardiac-driven CSF dynamics were observed in all CSF spaces, with region-averaged velocity range and root-mean-square (RMS) velocity encompassing from very low in the LVs (RMS 0.25 ± 0.08; range 0.85 ± 0.28 mm/s) to relatively high in the CA (RMS 6.29 ± 2.87; range 18.6 ± 15.2 mm/s). In the regression models, CSF velocity was significantly related to age in 5/6 regions, to CSF space volume in 2/3 regions, and to arterial pulsatility in 3/6 regions. Group-averaged waveforms indicated distinct CSF flow propagation delays throughout CSF spaces, particularly between the SC and LVs.

conclusionsOur findings show that 4D flow MRI enables assessment of CSF dynamics throughout the ventricular system, and captures independent effects of age, CSF space morphology, and arterial pulsatility on CSF motion.

Indexed as

Cerebral VentriclesCerebrospinal FluidMagnetic Resonance ImagingPulsatile FlowAdultAgedAged, 80 and overAgingCerebrovascular CirculationFemaleHumansMaleMiddle Aged4D flow MRICardiac pulsatilityCerebral blood flowCerebrospinal fluidFlow dynamicsMagnetic resonance imaging

Identifiers

PMID39215377
PMCPMC11363656

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LicenceCC BY-NC-ND
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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.