Evidence map›Paper›PMID 42323464›Full record

SynthesisJournal of neurology2026

Mapping the multi-scale landscape of vascular cognitive impairment: from structural atrophy networks to cellular and neurochemical substrates.

Qing Du, Yifan Fang, Wenwen Liang, Tianyi Li, Feiyan Zhang, Yingjie Liu, Siyi Chen, Chensheng Pan, Guo Li, Zhou Zhu

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Qing DuDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No 1095 Jiefang Avenue, Qiaokou District, Wuhan, 430030, Hubei, China.
Yifan FangDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No 1095 Jiefang Avenue, Qiaokou District, Wuhan, 430030, Hubei, China.
Wenwen LiangDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No 1095 Jiefang Avenue, Qiaokou District, Wuhan, 430030, Hubei, China.
Tianyi LiDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No 1095 Jiefang Avenue, Qiaokou District, Wuhan, 430030, Hubei, China.
Feiyan ZhangDepartment of Child Health Care, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Yingjie LiuDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No 1095 Jiefang Avenue, Qiaokou District, Wuhan, 430030, Hubei, China.
Siyi ChenDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No 1095 Jiefang Avenue, Qiaokou District, Wuhan, 430030, Hubei, China.
Chensheng PanDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No 1095 Jiefang Avenue, Qiaokou District, Wuhan, 430030, Hubei, China.
Guo LiDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No 1095 Jiefang Avenue, Qiaokou District, Wuhan, 430030, Hubei, China.
Zhou ZhuDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No 1095 Jiefang Avenue, Qiaokou District, Wuhan, 430030, Hubei, China. zhouzhu@hust.edu.cn.

Funding

the National Natural Science Foundation of China 82171465Wuhan Key Research and Development Program Project 2025020102030017
6 · The paper itself

Abstract

backgroundVascular cognitive impairment (VCI) is a devastating clinical endpoint of microvascular senescence. However, the mechanisms by which age-related focal vascular insults cause systemic brain network failure and molecular vulnerability remain unknown. To decode the multi-scale neurobiology of VCI, we conducted a systematic review and meta-analysis of whole-brain voxel-based morphometry studies comparing patients with VCI and healthy controls.

methodsWe used coordinate-based network mapping on a normative functional connectome to identify convergent structural atrophy networks. To decode multi-scale biological substrates, we checked the resulting macroscopic topography against the Allen Human Brain Atlas and 28 positron emission tomography-derived neurotransmitter maps.

results18 studies contributed to the analysis, including 682 VCI patients and 643 healthy controls. VCI-related atrophy, despite appearing disparate, functionally converges onto a robust macroscopic architecture that is anchored predominantly in the somatomotor and salience networks. Transcriptomic profiling further showed that this network colocalizes significantly with Layer 6 corticothalamic and subcortical projection neurons. These neuron populations feature exceptionally long axonal projections, a property that heightens their metabolic susceptibility to chronic hypoperfusion. At the neurochemical level, this structural degradation exhibited profound spatial coherence with the macroscopic distribution of dopamine transporter (DAT) and 5-hydroxytryptamine transporter (5‑HTT).

conclusionThese findings suggest that VCI may represent a quintessential "disconnection syndrome" associated with the vulnerability of long-range projection pathways to vascular aging, providing a novel multi-scale neurobiological template to identify network-level targets for intervention.

Indexed as

BrainCognitive DysfunctionConnectomeDementia, VascularNerve NetAtrophyHumansAtrophy network mappingBrain networkMeta-analysisVascular cognitive impairment

Identifiers

What OpenQuestion holds

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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.