Schizophrenia recognition based on three-dimensional adaptive graph convolutional neural network

Schizophrenia recognition based on three-dimensional adaptive graph convolutional neural network

Abstract Previous deep learning-based brain network research has made significant progress in understanding the pathophysiology of schizophrenia. However, it ignores the three-dimensional spatial characteristics of EEG signals and cannot dynamically learn the interactions between nodes. To address t...

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Bibliographic Details
Main Authors: Guimei Yin, Jie Yuan, Yanjun Chen, Guangxing Guo, Dongli Shi, Lin Wang, Zilong Zhao, Yanli Zhao, Manjie Zhang, Yuan Dong, Bin Wang, Shuping Tan
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Schizophrenia
3D spaces
Attention mechanisms
Adaptive brain networks
Graph convolutional neural network
Online Access:https://doi.org/10.1038/s41598-024-84497-8
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