Evidence map›Paper›PMID 37396667›Full record

ArticleFrontiers in aging neuroscience2023

Association of brain tissue cerebrospinal fluid fraction with age in healthy cognitively normal adults.

Liangdong Zhou, Yi Li, Elizabeth M Sweeney, Xiuyuan H Wang, Amy Kuceyeski, Gloria C Chiang, Jana Ivanidze, Yi Wang, Susan A Gauthier, Mony J de Leon and 1 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. PET Imaging of Neurofluids.Neuroimaging clinics of North America · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
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

11 authors.

Liangdong ZhouDepartment of Radiology, Weill Cornell Medicine, New York, NY, United States.
Yi LiDepartment of Radiology, Weill Cornell Medicine, New York, NY, United States.
Elizabeth M SweeneyPenn Statistics in Imaging and Visualization Endeavor (PennSIVE), Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, United States.
Xiuyuan H WangDepartment of Radiology, Weill Cornell Medicine, New York, NY, United States.
Amy KuceyeskiDepartment of Radiology, Weill Cornell Medicine, New York, NY, United States.
Gloria C ChiangDepartment of Radiology, Weill Cornell Medicine, New York, NY, United States.
Jana IvanidzeDepartment of Radiology, Weill Cornell Medicine, New York, NY, United States.
Yi WangDepartment of Radiology, Weill Cornell Medicine, New York, NY, United States.
Susan A GauthierDepartment of Radiology, Weill Cornell Medicine, New York, NY, United States.
Mony J de LeonDepartment of Radiology, Weill Cornell Medicine, New York, NY, United States.
Thanh D NguyenDepartment of Radiology, Weill Cornell Medicine, New York, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Our objective was to apply multi-compartment T2 relaxometry in cognitively normal individuals aged 20-80 years to study the effect of aging on the parenchymal CSF fraction (CSFF), a potential measure of the subvoxel CSF space. Materials and methods: A total of 60 volunteers (age range, 22-80 years) were enrolled. Voxel-wise maps of short-T2 myelin water fraction (MWF), intermediate-T2 intra/extra-cellular water fraction (IEWF), and long-T2 CSFF were obtained using fast acquisition with spiral trajectory and adiabatic T2prep (FAST-T2) sequence and three-pool non-linear least squares fitting. Multiple linear regression analyses were performed to study the association between age and regional MWF, IEWF, and CSFF measurements, adjusting for sex and region of interest (ROI) volume. ROIs include the cerebral white matter (WM), cerebral cortex, and subcortical deep gray matter (GM). In each model, a quadratic term for age was tested using an ANOVA test. A Spearman's correlation between the normalized lateral ventricle volume, a measure of organ-level CSF space, and the regional CSFF, a measure of tissue-level CSF space, was computed. Results: Regression analyses showed that there was a statistically significant quadratic relationship with age for CSFF in the cortex ( Conclusion: Our cross-sectional data demonstrate that brain tissue water in different compartments shows complex age-dependent patterns. Parenchymal CSFF, a measure of subvoxel CSF-like water in the brain tissue, is quadratically associated with age in the cerebral cortex and linearly associated with age in the cerebral deep GM and WM.

Indexed as

cerebrospinal fluid fraction (CSFF)FAST-T2intra/extra-cellular water fraction (IEWF)myelin water fraction (MWF)normal agingperivascular spaceT2 relaxometry

Identifiers

PMID37396667
PMCPMC10312090

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.