A lightweight triple-modal fusion network for progressive mild cognitive impairment prediction in Alzheimer's disease

A lightweight triple-modal fusion network for progressive mild cognitive impairment prediction in Alzheimer's disease

IntroductionAs a progressive neurodegeneration, Alzheimer's disease (AD) represents the primary etiology of dementia among the elderly. Early identification of individuals with mild cognitive impairment (MCI) who are likely to convert to AD is essential for timely diagnosis and therapeutic inte...

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Main Authors: Xiangyu Shen, Xiangyang Hu, Renfeng Zhang, Yunzhan Fu, Jiamin Xu, Degang Lyu, Hongbiao Xie, Deen Shi, Changsheng Shi, Lisi Li, Yuantong Gao
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Neuroscience
Subjects:
Alzheimer's disease
mild cognitive impairment
triple-modal fusion
lightweight neural network
attention mechanism
integrated gradients
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2025.1637291/full
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https://www.frontiersin.org/articles/10.3389/fnins.2025.1637291/full

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