Evidence map›Paper›PMID 42528498›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Elevated BrainAGE precedes cognitive impairment and improves prediction of future cognitive decline.

Elaheh Moradi, Robert Dahnke, Christian Gaser, Toni Rikkonen, Heikki Kröger, Sami Väänänen, Alina Solomon, Reijo Sund, Jussi Tohka, Alzheimer’s Disease Neuroimaging Initiative

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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.

Elaheh MoradiA.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio 70150, Finland.
Robert DahnkeStructural Brain Mapping Group, Department of Neurology, Jena University Hospital, Jena, Germany.
Christian GaserStructural Brain Mapping Group, Department of Neurology, Jena University Hospital, Jena, Germany.
Toni RikkonenInstitute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.
Heikki KrögerInstitute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.
Sami VäänänenDepartment of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland.
Alina SolomonInstitute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.
Reijo SundInstitute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.ORCID 0000-0002-6268-8117
Jussi TohkaA.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio 70150, Finland.
Alzheimer’s Disease Neuroimaging Initiative

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic Resonance Imaging (MRI) derived brain age varies substantially between individuals, but it remains unclear whether early deviations from normal brain ageing precede future cognitive decline and whether they provide predictive value beyond conventional MRI measures. Here, we investigated whether MRI-derived brain age gap estimation (BrainAGE) identifies early structural brain ageing differences among cognitively normal individuals who later develop mild cognitive impairment (MCI) or dementia. We analysed longitudinal structural MRI data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) and replicated the main findings in the population-based Kuopio Osteoporosis Risk Factor and Prevention Study (OSTPRE). Individuals who later converted to MCI or dementia had higher BrainAGE values several years before diagnosis and, in ADNI, showed steeper longitudinal increases than stable individuals. Elevated BrainAGE values were also associated with increased risk of future conversion to MCI in cognitively healthy individuals and faster subsequent memory decline. Cross-sectional differences and the association between BrainAGE and risk of future conversion were replicated in OSTPRE. Importantly, adding BrainAGE to models including demographic, APOE4, cognitive, and MRI-derived measures consistently improved prediction of future cognitive outcomes, with the greatest benefit observed for individuals who converted after longer follow-up. These findings show that structural brain ageing begins to diverge years before the onset of MCI. BrainAGE captures this early divergence, providing complementary information beyond conventional structural MRI measures that may improve the early identification of cognitively normal individuals at increased risk of future cognitive decline when integrated with other biomarkers.

Indexed as

Longitudinal trajectoriesMachine learningMagnetic resonance imagingMemory declineProgression to mild cognitive impairmentRisk stratification

Identifiers

PMID42528498
PMCPMC13409254

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.