U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis

U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis

IntroductionThe blood oxygen level-dependent (BOLD) signal derived from functional neuroimaging is commonly used in brain network analysis and dementia diagnosis. Missing the BOLD signal may lead to bad performance and misinterpretation of findings when analyzing neurological disease. Few studies ha...

Full description

Bibliographic Details
Main Authors: Qiankun Zuo, Ruiheng Li, Binghua Shi, Jin Hong, Yanfei Zhu, Xuhang Chen, Yixian Wu, Jia Guo
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Computational Neuroscience
Subjects:
hierarchical topological transformer
multi-level temporal-correlated attention
central connectivity perception
time-series restoration
multi-head attention
brain neurological disease
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2024.1387004/full

Internet

https://www.frontiersin.org/articles/10.3389/fncom.2024.1387004/full

Similar Items