Evidence map›Paper›PMID 40059066›Full record

ArticleCNS neuroscience & therapeutics2025

Neural Correlates and Adaptive Mechanisms in Vascular Cognitive Impairment: Exploration of a Structure-Function Coupling Network.

Jing Jin, Jie Ma, Jia-Jia Wu, Juan-Juan Lu, Hao-Yu Lu, Mou-Xiong Zheng, Xu-Yun Hua, Jian-Guang Xu

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. The enigma of vascular dementia: current state and emerging perspectives.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
  4. 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

8 authors.

Jing JinSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jie MaSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jia-Jia WuSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Juan-Juan LuSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Hao-Yu LuSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Mou-Xiong ZhengDepartment of Traumatology and Orthopedics, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Xu-Yun HuaDepartment of Traumatology and Orthopedics, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jian-Guang XuSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID 0000-0003-0601-3403

Funding

National Natural Science Foundation of China 82172554National Natural Science Foundation of China 82272583National Natural Science Foundation of China 82272589National Natural Science Foundation of China 82302870Shanghai University of Traditional Chinese Medicine Science and Technology Development Fund 23KFL112
6 · The paper itself

Abstract

backgroundCerebral small vessel disease exacerbates cognitive decline, yet the structural-functional coupling mechanisms in vascular cognitive impairment (VCI) remain unclear.

methodsThis study included 121 participants, with 68 individuals with VCI and 53 healthy controls. Participants underwent neuropsychological assessments and multimodal imaging. We compared white matter integrity, structural network topology, and functional network topology between groups, exploring the relationship between structure-function coupling and cognitive function. Family-wise error (FWE) correction was applied to account for multiple comparisons.

resultsVCI participants showed reduced fractional anisotropy and increased mean and radial diffusivity in white matter. Structural network analysis revealed lower global and local efficiency, reduced small-world properties, and increased characteristic path length. Nodal properties, particularly in key regions of the default mode and visual networks, were significantly altered in VCI participants. While no significant differences were observed in functional network topology, VCI participants exhibited enhanced structure-function coupling in critical nodes of the default mode and visual networks. This enhancement correlated with memory function and information processing speed in the temporal calcarine, insula, occipital, and lingual regions.

conclusionsThe study identifies disrupted brain networks and enhanced compensatory mechanisms in VCI, offering insights into neuroplasticity in VCI and contributing to dementia prevention strategies.

Indexed as

BrainCerebral Small Vessel DiseasesCognitive DysfunctionNerve NetAgedDiffusion Tensor ImagingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsWhite Matterfunction networkstructure–function couplingstructure networkvascular cognitive impairmentwhite matter hyperintensity

Identifiers

PMID40059066
PMCPMC11890977

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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.