Evidence map›Paper›PMID 38315044›Full record

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

Cerebral arterial stiffness is linked to white matter hyperintensities and perivascular spaces in older adults - A 4D flow MRI study.

Cecilia Björnfot, Anders Eklund, Jenny Larsson, William Hansson, Johan Birnefeld, Anders Garpebring, Sara Qvarlander, Lars-Owe D Koskinen, Jan Malm, Anders Wåhlin

Abstract 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 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
–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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. Functional MRI Signatures of Autonomic Physiology in Aging.bioRxiv : the preprint server for biology · 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

10 authors.

Cecilia BjörnfotDepartment of Diagnostics and Intervention, Radiation Physics, Biomedical Engineering, Umeå University, Umeå, Sweden.
Anders EklundDepartment of Diagnostics and Intervention, Radiation Physics, Biomedical Engineering, Umeå University, Umeå, Sweden.
Jenny LarssonDepartment of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden.
William HanssonDepartment of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden.
Johan BirnefeldDepartment of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden.ORCID 0000-0001-6331-4283
Anders GarpebringDepartment of Diagnostics and Intervention, Umeå University, Umeå, Sweden.
Sara QvarlanderDepartment of Diagnostics and Intervention, Radiation Physics, Biomedical Engineering, Umeå University, Umeå, Sweden.ORCID 0000-0002-1454-4725
Lars-Owe D KoskinenDepartment of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden.
Jan MalmDepartment of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden.
Anders WåhlinDepartment of Diagnostics and Intervention, Radiation Physics, Biomedical Engineering, Umeå University, Umeå, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

White matter hyperintensities (WMH), perivascular spaces (PVS) and lacunes are common MRI features of small vessel disease (SVD). However, no shared underlying pathological mechanism has been identified. We investigated whether SVD burden, in terms of WMH, PVS and lacune status, was related to changes in the cerebral arterial wall by applying global cerebral pulse wave velocity (gcPWV) measurements, a newly described marker of cerebral vascular stiffness. In a population-based cohort of 190 individuals, 66-85 years old, SVD features were estimated from T1-weighted and FLAIR images while gcPWV was estimated from 4D flow MRI data. Additionally, the gcPWV's stability to variations in field-of-view was analyzed. The gcPWV was 10.82 (3.94) m/s and displayed a significant correlation to WMH and white matter PVS volume (r = 0.29, p < 0.001; r = 0.21, p = 0.004 respectively from nonparametric tests) that persisted after adjusting for age, blood pressure variables, body mass index, ApoB/A1 ratio, smoking as well as cerebral pulsatility index, a previously suggested early marker of SVD. The gcPWV displayed satisfactory stability to field-of-view variations. Our results suggest that SVD is accompanied by changes in the cerebral arterial wall that can be captured by considering the velocity of the pulse wave transmission through the cerebral arterial network.

Indexed as

Glymphatic SystemMagnetic Resonance ImagingPulse Wave AnalysisVascular StiffnessWhite MatterAgedAged, 80 and overCerebral ArteriesCerebral Small Vessel DiseasesCerebrovascular CirculationFemaleHumansMale4D flow MRIcerebral small vessel diseaseperivascular spacespulse wave velocitywhite matter hyperintensities

Identifiers

PMID38315044
PMCPMC11342729

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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.