Age estimation

Biomarker

2 papers1 finding

  • Humans2

Associations

1

Subcortical and thalamic regions

upin humans1

1 study
  1. Subcortical and thalamic regions predict age estimation in humans.

    “Predictive modeling identified subcortical and thalamic regions as key contributors to age estimation.”

    Humanssubcortical and thalamic regions

    Multimodal quantitative MRI reveals age-related biophysical alterations in the human brain across the adult lifespan

    NeuroImage20 Jan 2026

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Research Square

Social well-being linked to slower estimated biological aging

A prospective observational study of 213 adults used single brain scans to estimate aging pace and found the link persisted after health and lifestyle adjustments.A prospective observational study of 213 adults used single brain scans to estimate aging pace and found the link persisted after health and lifestyle adjustments.

Preprint: cohort study of 213 peoplePopulations
Nature Communications

Brain regions reach their structural peak at different ages

In an observational study of 2,796 adults, a multimodal brain-age model predicted chronological age with an average error of 3.45 years.In an observational study of 2,796 adults, a multimodal brain-age model predicted chronological age with an average error of 3.45 years.

Cross-sectional study of 2,796 peopleBiomarkers
Medical Image Computing and Computer-assisted Intervention

Model estimates brain aging speed from local MRI changes

Tested on large-scale scan datasets, the computational framework combined regional brain shape changes to track aging speed and spot abnormal patterns in disease.Tested on large-scale scan datasets, the computational framework combined regional brain shape changes to track aging speed and spot abnormal patterns in disease.

Computational studyBiomarkers