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...

Полное описание

Библиографические подробности

Главные авторы:	Guimei Yin, Jie Yuan, Yanjun Chen, Guangxing Guo, Dongli Shi, Lin Wang, Zilong Zhao, Yanli Zhao, Manjie Zhang, Yuan Dong, Bin Wang, Shuping Tan
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Nature Portfolio 2025-02-01
Серии:	Scientific Reports
Предметы:	Schizophrenia 3D spaces Attention mechanisms Adaptive brain networks Graph convolutional neural network
Online-ссылка:	https://doi.org/10.1038/s41598-024-84497-8
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!