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Advanced brain age and longitudinal cognitive decline in healthy older adults

A study · GeroScience · Oct 23, 2026

What this means

Advanced brain age relative to chronological age may predict cognitive decline in healthy aging, but prospective evidence remains limited. We tested whether the brain age gap (BAG) predicts cognition and 5-year cognitive decline in the AGES-Reykjavik Study.

A plain-English summary is on its way. Until then, this is the start of the authors' own summary.

Tested inNot stated
Who it was tested in
Not stated
Kind of research
A study

The science

Original title
Advanced brain age and longitudinal cognitive decline in healthy older adults.
Authors
Kristinsson S, Newman-Norlund R, Bonilha L et al.
Journal
GeroScience
Published
Oct 23, 2026
Study type
Study

Abstract

Advanced brain age relative to chronological age may predict cognitive decline in healthy aging, but prospective evidence remains limited. We tested whether the brain age gap (BAG) predicts cognition and 5-year cognitive decline in the AGES-Reykjavik Study. Participants with structural MRI and neuropsychological data were included cross-sectionally (n = 4,606); mean age 76.4y; 58% female) and longitudinally (n = 2,561; mean follow-up 5.2y). BAG was estimated from T1-weighted MRI. Mixed-effects models examined BAG effects on Memory (M), processing speed (PS), and executive function (EF), adjusting for age, sex, and education. Higher BAG was associated with worse cognition across all domains (β = -0.037 to -0.047, all p < 0.001). BAG significantly predicted greater decline in M (β = -0.007, p = 0.046); subgroup analyses revealed steeper decline in M and EF with advanced brain age. BAG predicts longitudinal cognitive decline beyond chronological age, supporting its utility as a biomarker in preventative care of healthy aging.

Read it on PubMed ↗

Kristinsson S, Newman-Norlund R, Bonilha L et al. Advanced brain age and longitudinal cognitive decline in healthy older adults. GeroScience. 2026. doi:10.1007/s11357-026-02598-w. PMID: 42911347. https://pubmed.ncbi.nlm.nih.gov/42911347/

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