Hypergraph-Based Multitask Feature Selection with Temporally Constrained Group Sparsity Learning on fMRI

• Published in: Mathematics (Basel) Vol. 12; no. 11; p. 1733
• Main Authors: Qu, Youzhi, Fu, Kai, Wang, Linjing, Zhang, Yu, Wu, Haiyan, Liu, Quanying
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.06.2024
• Subjects: Brain; Brain research; Constraints; Datasets; Feature selection; fMRI; Graph theory; Graphs; hypergraph; Learning; Magnetic resonance imaging; Mathematical statistics; Medical imaging; multitask learning; Neuroimaging; Smoothness; Sparsity; Statistical analysis; Technology application; Time series; Windows (intervals); China

Localizing the brain regions affected by tasks is crucial to understanding the mechanisms of brain function. However, traditional statistical analysis does not accurately identify the brain regions of interest due to factors such as sample size, task design, and statistical effects. Here, we propose...