Adaptive neighborhood aggregation graph neural network for early diagnosis of Alzheimer’s disease

Abstract Early diagnosis of Alzheimer’s disease (AD) is crucial for timely intervention but remains challenging due to subtle and heterogeneous brain alterations, particularly in the mild cognitive impairment (MCI) stage. To address this issue, we propose a pathology-aware Adaptive Neighborhood Aggr...

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Detalhes bibliográficos

Principais autores:	Jinhua Sheng, Haowen Zhong, Qiao Zhang, Rong Zhang, Zhaozhe Gong, Jiaqi Lin, Zhouqi Chen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2026-04-01
coleção:	Scientific Reports
Assuntos:	Alzheimer’s disease Machine learning Graph Neural Network Support vector machine
Acesso em linha:	https://doi.org/10.1038/s41598-026-50351-2
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