Evidence map›Paper›PMID 36930038›Full record

ArticleHuman brain mapping2023

Characteristics of perivascular space dilatation in normal aging.

Chang-Hyun Park, Na-Young Shin, Yoonho Nam, Uicheul Yoon, Kookjin Ahn, Seung-Koo Lee

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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

6 authors at 5 institutions in 1 country.

Chang-Hyun ParkDivision of Artificial Intelligence and Software, College of Engineering, Ewha Womans University, Seoul, South Korea.
Na-Young ShinDepartment of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, College of Medicine, Yonsei University, Seoul, South Korea.ORCID 0000-0003-1157-6366
Yoonho NamDivision of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Gyeonggi, South Korea.
Uicheul YoonDepartment of Biomedical Engineering, College of Bio and Medical Sciences, Daegu Catholic University, Gyeongsan, Gyeongbuk, South Korea.
Kookjin AhnDepartment of Radiology, College of Medicine, Catholic University of Korea, Seoul, South Korea.
Seung-Koo LeeDepartment of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, College of Medicine, Yonsei University, Seoul, South Korea.
Yonsei University · KRCatholic University of Korea · KRDaegu Catholic University · KREwha Womans University · KRHankuk University of Foreign Studies · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increased incidence of dilated perivascular spaces (dPVSs) visible on MRI has been observed with advancing age, but the relevance of PVS dilatation to normal aging across the lifespan has yet to be fully clarified. In the current study, we sought to find out the age dependence of dPVSs by exploring changes in different characteristics of PVS dilatation across a wide range of age. For 1220 healthy subjects aged between 18 and 100 years, PVSs were automatically segmented and characteristics of PVS dilatation were assessed in terms of the burden, location, and morphology of PVSs in the white matter (WM) and basal ganglia (BG). A machine learning model using the random forests method was constructed to estimate the subjects' age by employing the PVS features. The constructed machine learning model was able to estimate the age of the subjects with an error of 9.53 years on average (correlation = 0.875). The importance of the PVS features indicated the primary contribution of the burden of PVSs in the BG and the additional contribution of locational and morphological changes of PVSs, specifically peripheral extension and reduced linearity, in the WM to age estimation. Indeed, adding the PVS location or morphology features to the PVS burden features provided an improvement to the performance of age estimation. The age dependence of dPVSs in terms of such various characteristics of PVS dilatation in healthy subjects could provide a more comprehensive reference for detecting brain disease-related PVS dilatation.

Indexed as

Glymphatic SystemWhite MatterAdolescentAdultAgedAged, 80 and overAgingBasal GangliaDilatationHumansMagnetic Resonance ImagingMiddle AgedYoung Adultage estimationmachine learningnormal agingperivascular space

Identifiers

PMID36930038
PMCPMC10171536
OpenAlexW4327677959

What OpenQuestion holds

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LicenceCC BY-NC
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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.