Spatial amyloid–informed multimodal brain age as an early marker of Alzheimer’s-related vulnerability and risk stratification

Liang Cui; Qing-Min Wang; Zhen Zhang; Min Wang; You-Yi Tu; Jie-Hui Jiang; Yihui Guan; Yue-Hua Li; Fang Xie; Qi-Hao Guo

doi:10.1016/j.tjpad.2026.100501

February 6, 2026The Journal of Prevention of Alzheimer s DiseaseOpen Access

Spatial amyloid–informed multimodal brain age as an early marker of Alzheimer’s-related vulnerability and risk stratification

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Key Points

To evaluate a multimodal brain age model that incorporates amyloid and other biomarkers for Alzheimer’s risk assessment.
Developed an amyloid-informed brain age model.
Analyzed cognitive vulnerability alongside amyloid burden.
Assessed individual risk stratification using multimodal biomarker data.
The model captured AD-related pathology effectively.
Identified cognitive vulnerabilities not solely explained by amyloid levels.
Supported its potential in personalized risk prevention strategies.

Implication

Multimodal brain age assesses Alzheimer's-related risk in individuals, indicating potential for early intervention.

Abstract

An amyloid-informed multimodal BAG model captures convergent AD-related pathology, biomarker alterations, and cognitive vulnerability beyond amyloid burden alone, supporting its value for individualized risk s2tratification and prevention-focused assessment.

Discussion

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Cite This Study

Cui et al. (2026) studied this question.

synapsesocial.com/papers/698acaad7c832249c30b9f08 https://doi.org/10.1016/j.tjpad.2026.100501

View Full Paper

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Spatial amyloid–informed multimodal brain age as an early marker of Alzheimer’s-related vulnerability and risk stratification

Key Points

Implication

Abstract

Discussion

Cite This Study

Spatial amyloid–informed multimodal brain age as an early marker of Alzheimer’s-related vulnerability and risk stratification

Key Points

Implication

Abstract

Discussion

Cite This Study

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