A dual path graph neural network framework for dementia diagnosis

Abstract Dementia typically results from damage to neural pathways and the consequent degeneration of neuronal connections. Graph neural networks (GNNs) have been widely employed to model complex brain networks. However, leveraging the complementary temporal, spatial, and spectral features for diagn...

Full description

Saved in:
Bibliographic Details
Main Authors: Denghui Zhang, Chenxuan Zhu
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-06519-3
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items