A novel spatiotemporal graph convolutional network framework for functional connectivity biomarkers identification of Alzheimer’s disease

A novel spatiotemporal graph convolutional network framework for functional connectivity biomarkers identification of Alzheimer’s disease

Abstract Background Functional connectivity (FC) biomarkers play a crucial role in the early diagnosis and mechanistic study of Alzheimer’s disease (AD). However, the identification of effective FC biomarkers remains challenging. In this study, we introduce a novel approach, the spatiotemporal graph...

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Príomhchruthaitheoirí: Ying Zhang, Le Xue, Shuoyan Zhang, Jiacheng Yang, Qi Zhang, Min Wang, Luyao Wang, Mingkai Zhang, Jiehui Jiang, Yunxia Li, for the Alzheimer’s Disease Neuroimaging Initiative
Formáid: Alt
Teanga:English
Foilsithe / Cruthaithe: BMC 2024-03-01
Sraith:Alzheimer’s Research & Therapy
Ábhair:
Alzheimer’s disease
Imaging biomarkers
Functional connectivity
Graph neural network
Multi-site
Rochtain ar líne:https://doi.org/10.1186/s13195-024-01425-8

Ar líne

https://doi.org/10.1186/s13195-024-01425-8

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