Evidence map›Paper›PMID 39792583›Full record

ArticleJournal of magnetic resonance imaging : JMRI2025

Associations of Central Arterial Stiffness With Brain White Matter Integrity and Gray Matter Volume in MRI Across the Adult Lifespan.

Junyeon Won, Tsubasa Tomoto, Kevin Shan, Takashi Tarumi, Rong Zhang

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2025. 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
–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

6 citing papers in PubMed.

  1. Trial
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  3. Article
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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

5 authors.

Junyeon WonDepartment of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0001-7900-9355
Tsubasa TomotoDepartment of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Kevin ShanDepartment of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Takashi TarumiDepartment of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Rong ZhangDepartment of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0002-6534-5216

Funding

Mild Cognitive Impairment: Cerebrovascular Dysfunction and Exercise TrainingR01AG033106 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI LU, HANZHANG, ZHANG, RONG · 2009 to 2012
$3.1M
Arterial Aging, Brain Perfusion & Exercise: Impact on Brain Structure & Function.R01HL102457 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI ZHANG, RONG · 2010 to 2013
$2.1M
NHLBI NIH HHS R01 HL102457NIA NIH HHS R01 AG033106NIH HHS R01AG033106NIH HHS R01HL102457
6 · The paper itself

Abstract

backgroundCentral arterial stiffening is associated with brain white matter (WM) damage and gray matter (GM) volume loss in older adults, but little is known about this association from an adult lifespan perspective. PURPOSE: To investigate the associations of central arterial stiffness with WM microstructural organization, WM lesion load, cortical thickness, and GM volume in healthy adults across the lifespan. STUDY TYPE: This is a cross-sectional study. SUBJECTS: A total of 173 healthy adults (22-81 years) were included in this study. FIELD STRENGTH/SEQUENCE: 3-T, T1-weighted magnetization prepared rapid gradient echo (MPRAGE), single-shot echo-planar imaging diffusion-weighted, and T2-weighted fluid-attenuated inversion recovery (FLAIR) sequences. ASSESSMENT: The participants underwent measurements of central arterial stiffness using carotid-femoral pulse wave velocity (cfPWV), diffusion tensor imaging (DTI) to measure whole-brain WM microstructural organization with free water (FW) and FW-corrected fractional anisotropy (FA STATISTICAL TESTS: Linear regression models to examine the associations of brain WM and GM measures with age, cfPWV, and age × cfPWV interaction after adjusting for sex, education, and intracranial volume (ICV) (voxel-wise and cluster threshold P < 0.05). To understand the direction of the interaction result, the sample was stratified into lower and higher cfPWV groups using a median split of cfPWV.

resultsAge × cfPWV interactions were observed in WM FW, WMH volume, cortical thickness, and GM volume (P < 0.01) such that the positive regression slopes between age, FW, and WMH volume were higher, while the negative regression slopes between age, cortical thickness, and GM volume were lower in those who had higher cfPWV relative to those who had lower cfPWV. DATA

conclusionCentral arterial stiffening may accelerate the age-related deteriorations in GM and WM structure across the adult lifespan. PLAIN LANGUAGE SUMMARY: Central arterial stiffening is associated with brain white matter (WM) damage and gray matter (GM) volume loss in older adults. We extended this investigation into an adult lifespan perspective by examining the associations of central arterial stiffening with brain structure in adults across age. A total of 172 healthy adults (22-81 years) underwent central arterial stiffening measure using applanation tonometry and brain measurement using MRI. We observed that higher central arterial stiffening may accelerate the age-related deterioration in brain WM and GM structure. These results suggest the importance of maintaining vascular health to slow age-related brain structural changes from an adult lifespan perspective. LEVEL OF EVIDENCE: 4 TECHNICAL EFFICACY: Stage 5.

Indexed as

BrainGray MatterMagnetic Resonance ImagingVascular StiffnessWhite MatterAdultAgedAged, 80 and overAnisotropyCross-Sectional StudiesDiffusion Tensor ImagingFemaleHumansMaleMiddle AgedOrgan Sizeagingcentral arterial stiffnesscortical thicknesscortical volumediffusion tensor imagingwhite matter hyperintensity

Identifiers

PMID39792583
PMCPMC12178825

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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.