Evidence map›Paper›PMID 39391585›Full record

ArticleFrontiers in aging neuroscience2024

Acceleration of brain aging after small-volume infarcts.

Ying-Ju Peng, Chen-Yuan Kuo, Sheng-Wei Chang, Ching-Po Lin, Yuan-Hsiung Tsai

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Ying-Ju PengDepartment of Diagnostic Radiology, Chang Gung Memorial Hospital, Chiayi, Taiwan.
Chen-Yuan KuoDepartment of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.
Sheng-Wei ChangDepartment of Diagnostic Radiology, Chang Gung Memorial Hospital, Chiayi, Taiwan.
Ching-Po LinInstitute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Yuan-Hsiung TsaiDepartment of Diagnostic Radiology, Chang Gung Memorial Hospital, Chiayi, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Previous studies have shown that stroke patients exhibit greater neuroimaging-derived biological "brain age" than control subjects. This difference, known as the brain age gap (BAG), is calculated by comparing the chronological age with predicted brain age and is used as an indicator of brain health and aging. However, whether stroke accelerates the process of brain aging in patients with small-volume infarcts has not been established. By utilizing longitudinal data, we aimed to investigate whether small-volume infarctions can significantly increase the BAG, indicating accelerated brain aging. Methods: A total of 123 stroke patients presenting with small-volume infarcts were included in this retrospective study. The brain age model was trained via established protocols within the field of machine learning and the structural features of the brain from our previous study. We used Results: Significant brain aging occurred between the initial and 6-month follow-ups, with a mean increase in brain age of 1.04 years ( Conclusion: Stroke accelerates the brain aging process, even in patients with relatively small-volume infarcts. This phenomenon is particularly accentuated in elderly patients, and both stroke severity and poststroke functional outcomes are closely associated with accelerated brain aging. Further studies are needed to explore the mechanisms underlying the accelerated brain aging observed in stroke patients, with a particular focus on the structural alterations and plasticity of the brain following minor strokes.

Indexed as

agingbraininfarctionmachine learningmagnetic resonance imagingneuroimagingretrospective studiesstroke

Identifiers

PMID39391585
PMCPMC11464776

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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.