Evidence map›Paper›PMID 42158577›Full record

ReviewFrontiers in neuroimaging2026

Imaging research, diagnosis, and treatment advances of post-stroke cognitive impairment.

Mengyi Huang, Qunbo Jia, Yushu Ouyang, Xiaoteng Feng, Ronghui Ju

Abstract readReview
In one paragraph

Review in Frontiers in neuroimaging, 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

5 authors.

Mengyi HuangDepartment of Radiology, The People's Hospital of China Medical University, The People's Hospital of Liaoning Province, Shenyang, Liaoning, China.
Qunbo JiaDepartment of Radiology, The People's Hospital of China Medical University, The People's Hospital of Liaoning Province, Shenyang, Liaoning, China.
Yushu OuyangGraduate School, Dalian Medical University, Dalian, Liaoning, China.
Xiaoteng FengGraduate School, Dalian Medical University, Dalian, Liaoning, China.
Ronghui JuDepartment of Radiology, The People's Hospital of China Medical University, The People's Hospital of Liaoning Province, Shenyang, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-stroke cognitive impairment (PSCI) has garnered widespread attention due to its high incidence and its association with increased risk of stroke recurrence and mortality. Growing evidence indicates that early prediction of PSCI and the implementation of effective interventions can help delay disease progression and improve long-term patient outcomes. With advances in imaging technology, the role of neuroimaging has evolved from traditional anatomical localization to a multimodal assessment system that integrates macrostructural, microstructural connectivity, and molecular metabolic information. Imaging features can serve as objective and reproducible quantitative indicators, sensitively capturing subtle pathological changes in brain tissue, thereby providing a reliable basis for clinical diagnosis, treatment strategy formulation, and prevention. This review systematically summarizes recent research progress in the clinical diagnosis and imaging characteristics of PSCI. It focuses on analyzing the impact and underlying mechanisms of specific biomarkers, gene expression, cerebral small vessel disease, and cerebral perfusion abnormalities on cognitive function, and further explores the application prospects of advanced imaging technologies in the assessment of PSCI.

Indexed as

cerebral small vessel diseaseimagingischemic strokemultimodal neuroimagingpost-stroke cognitive impairment

Identifiers

PMID42158577
PMCPMC13180818

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.