Article

Alzheimer’s Disease Brain Phenotypes are Age-dependent

2026-04-02

Abstract excerpt

A widespread view of neurodegenerative disorders, including Alzheimer’s Disease (AD), frames their effects as accelerated aging, with the brain-age gap (BAG, the deviation of predicted ‘brain age’ from chronological age) as a staple biomarker. However, BAG relies on a fundamental, untested assumption: that AD can be identified via age-invariant brain phenotypes. Using invariant representation learning on brain MRI...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 0053328a-8f20-5b3c-8f42-f06bf78ffb72
DOI: 10.64898/2026.03.31.715296

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Alzheimer’s Disease Brain Phenotypes are Age-dependentDOI 10.64898/2026.03.31.715296Read

Five dominant dimensions of brain aging are identified via deep learning: associations with clinical, lifestyle, and genetic measuresSemantic proximity Read

Regional brain aging patterns reveal disease-specific pathways of neurodegenerationSemantic proximity Read

Aging as an active player in Alzheimer’s Disease Classification: Insights from feature selection in BrainAge ModelsSemantic proximity Read

Sex Differences in the Alzheimer’s Brain Age Gap: APOE ε4 Plays a Major RoleSemantic proximity Read

Deep neural networks learn general and clinically relevant representations of the ageing brainSemantic proximity Read

From a deep learning model back to the brain - inferring morphological markers and their relation to agingSemantic proximity Read

Brain-age prediction: a systematic comparison of machine learning workflowsSemantic proximity Read

Using deep learning to predict brain age from brain magnetic resonance images and cognitive tests reveals that anatomical and functional brain aging are phenotypically and genetically distinctSemantic proximity Read

Mind the Gap: Does Brain Age Improve Alzheimer’s Disease Prediction?Semantic proximity Read

Brain Age Prediction: Deep Models Need a Hand to GeneralizeSemantic proximity Read

NeuroFM: Toward Precision Neuroimaging with Foundation Models for Individualized Brain Health EstimationSemantic proximity Read

Assessing distinct patterns of cognitive aging using tissue-specific brain age prediction based on diffusion tensor imaging and brain morphometrySemantic proximity Read