Evidence map›Paper›PMID 40792178›Full record

ArticleFrontiers in human neuroscience2025

Vascular risk factors and neuroimaging heterogeneity across different white matter hyperintensities distribution patterns.

Junjun Wang, Liying Zhuang, Fengli Fu, Yejia Mo, Lihao Zhai, Qi Xu, Caiyun Mou

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 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

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

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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

1 citing paper in PubMed.

  1. 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

7 authors.

Junjun WangDepartment of Neurology, Zhejiang Hospital, Hangzhou, China.
Liying ZhuangDepartment of Neurology, Zhejiang Hospital, Hangzhou, China.
Fengli FuDepartment of Radiology, Zhejiang Hospital, Hangzhou, China.
Yejia MoDepartment of Neurology, Zhejiang Hospital, Hangzhou, China.
Lihao ZhaiDepartment of Radiology, Zhejiang Hospital, Hangzhou, China.
Qi XuDepartment of Radiology, Zhejiang Hospital, Hangzhou, China.
Caiyun MouDepartment of Radiology, Zhejiang Hospital, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Different white matter hyperintensities (WMHs) distribution patterns exhibit distinct clinical implications, but their underlying mechanisms remain unclear. This study explores vascular risk factors and neuroimaging features to elucidate their heterogeneity. Methods: We retrospectively analyzed WMHs patients who underwent multimodal MRI at Zhejiang Hospital. Neuroimaging features included gray matter volume, white matter microstructure (Fractional anisotropy, FA), and cerebral blood flow (CBF) were assessed. Vascular risk factors and imaging features were compared across four different WMHs distribution patterns [multi-spots, peri-basal ganglia, anterior subcortical (SC) patches, and posterior SC patches]. Mediation analysis was performed to explore the role of imaging features on WMHs related cognitive impairment. Results: A total of 163 patients were included in the final analysis. Among the four WMHs distribution patterns, hypertension was significantly more prevalent in patients with anterior SC patches [48 [85.7%] vs. 71 [66.4%], Conclusion: This study demonstrates heterogeneity in vascular risk factors, gray matter volume, microstructural injury, and hypoperfusion across different WMHs patterns, underscoring the importance of subtype-specific mechanistic and therapeutic research.

Indexed as

cerebral blood flowcognitive impairmentheterogeneityvascular risk factorswhite matter hyperintensitieswhite matter microstructural injury

Identifiers

PMID40792178
PMCPMC12336115

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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.