Evidence map›Paper›PMID 42230522›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026

Association of imaging-defined brain age with disease severity and adverse outcomes in CADASIL.

Shao-Lun Hsu, Pei-Lin Lee, Kun-Hsien Chou, Chen-Yuan Kuo, Ching-Po Lin, Yi-Chu Liao, Chih-Ping Chung, Yi-Chung Lee

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 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

8 authors.

Shao-Lun HsuInstitute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Pei-Lin LeeInstitute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Kun-Hsien ChouInstitute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Chen-Yuan KuoInstitute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Ching-Po LinInstitute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Yi-Chu LiaoDepartment of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan.
Chih-Ping ChungDepartment of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan.ORCID https://orcid.org/0000-0001-9419-9070
Yi-Chung LeeBrain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.

Funding

Brain Research CenterCenter for Intelligent Drug Systems and Smart Bio-devices (IDS2B)National Health Research Institutes NHRI-EX115-11531NINational Science and Technology Council MOST 107-2314-B-075-014-MY3National Science and Technology Council NSTC 112-2314-B-075-034-MY3National Science and Technology Council NSTC 114-2314-B-075-002National Science and Technology Council NSTC 114-2314-B-A49-041-MY3National Yang Ming Chiao Tung University from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in TaiwanTaipei Veterans General Hospital V112C-001Taipei Veterans General Hospital V114C-063Taipei Veterans General Hospital-National Yang Ming Chiao Tung University Excellent Physician Scientists Cultivation Program No. 113-V-B-069Yin Shu-Tien Foundation
6 · The paper itself

Abstract

introductionCerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is caused by cysteine-altering NOTCH3 variants. We examined whether neuroimaging-defined brain age is altered in CADASIL and its association with disease severity and outcomes.

methodsA brain-age prediction model was constructed using magnetic resonance imaging from 1482 healthy individuals and applied to 153 individuals with NOTCH3 variants and 30 controls. Brain age gap (BAG) was calculated as predicted minus chronological age. Associations between BAG, imaging markers, and clinical outcomes were analyzed.

resultsIndividuals with NOTCH3 variants exhibited significantly higher BAG than controls. Higher BAG was associated with greater disease severity, neuroimaging markers - most prominently peak width of skeletonized mean diffusivity - and poorer clinical performance. In addition, BAG showed a partial mediation effect in the association between disease stage and cognitive performance. DISCUSSION: Accelerated brain aging is evident in CADASIL, and the BAG reflects the cumulative microvascular injury burden and may be involved in the pathophysiological pathway linking disease progression to cognitive impairment.

Indexed as

AgingBrainCADASILAdultDisease ProgressionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingReceptor, Notch3Severity of Illness IndexNOTCH3 protein, humanReceptor, Notch3brain agebrain age gapcerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL)cerebral small vessel diseaseNOTCH3

Identifiers

PMID42230522
PMCPMC13239354

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.