Evidence map›Paper›PMID 40504298›Full record

ArticleMedical & biological engineering & computing2025

Subject-specific variability in cerebrospinal fluid flow characteristics through cerebral aqueducts in a healthy population: a magnetic resonance imaging and computational investigation.

Shusaku Maeda, Tomohiro Otani, Shigeki Yamada, Yoshiyuki Watanabe, Shigeo Wada

Abstract read
In one paragraph

Article in Medical & biological engineering & computing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Shusaku MaedaDepartment of Mechanical Science and Bioengineering, Graduate School of Engineering Science, The University of Osaka, 1-3, Machikaneyama-Cho, Toyonaka, Osaka, 560-8531, Japan.
Tomohiro OtaniDepartment of Mechanical Science and Bioengineering, Graduate School of Engineering Science, The University of Osaka, 1-3, Machikaneyama-Cho, Toyonaka, Osaka, 560-8531, Japan. otani.tomohiro.es@osaka-u.ac.jp.ORCID http://orcid.org/0000-0002-6431-2703
Shigeki YamadaDepartment of Neurosurgery, Graduate School of Medical Science, Nagoya City University, 1 Kawasumi, Mizuho-Cho, Mizuho-Ku, Nagoya, Aichi, 467-8601, Japan.
Yoshiyuki WatanabeDepartment of Radiology, Shiga University of Medical Science, Setatsukinowa-Cho, Otsu, Shiga, 520-2192, Japan.
Shigeo WadaDepartment of Mechanical Science and Bioengineering, Graduate School of Engineering Science, The University of Osaka, 1-3, Machikaneyama-Cho, Toyonaka, Osaka, 560-8531, Japan.

Funding

Japan Society for the Promotion of Science 23K11830Japan Society for the Promotion of Science 23KJ1471Japan Society for the Promotion of Science 24K02557Ministry of Education, Culture, Sports, Science and Technology JPMXP1020230118
6 · The paper itself

Abstract

Ventricular cerebrospinal fluid (CSF) flow has bi-directional flow profiles synchronized with cardiac pulsation. The increase in CSF stroke volume through the aqueduct (flow pathway between the third and fourth ventricle) is believed to be a biomarker of idiopathic normal pressure hydrocephalus (iNPH). However, several studies have reported that CSF stroke volume varies considerably even in healthy populations. To explore these variations from a fluid mechanics perspective, this study analyzed CSF flow characteristics in healthy individuals using magnetic resonance imaging (MRI)-based computational simulations. MRI data from 47 healthy subjects were acquired, and the maximum Reynolds number of the CSF flow through the aqueduct and the degree of CSF mixing were evaluated. Results showed that the Reynolds number of the CSF flow through the aqueduct was 28.6 ± 13.3, and the limited variation suggested fluid mechanical similarities of CSF flow characteristics in the healthy population. A positive correlation between CSF flow mixing and the Reynolds number was observed in both healthy populations and iNPH patients. These findings demonstrate that CSF flow through the aqueduct, especially in healthy populations, can be well characterized by examining fluid mechanical similarities.

Indexed as

Cerebral AqueductCerebrospinal FluidMagnetic Resonance ImagingAdultAgedComputer SimulationFemaleHumansHydrocephalus, Normal PressureHydrodynamicsMaleMiddle AgedCerebrospinal fluidComputational fluid dynamicsIdiopathic normal pressure hydrocephalusMagnetic resonance imagingStroke volume

Identifiers

PMID40504298
PMCPMC12634815

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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.