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

Qu, Youzhi1; Fu, Kai1; Wang, Linjing2; Zhang, Yu2; Wu, Haiyan3,4; Liu, Quanying1

2024-06-01

10.3390/math12111733

MATHEMATICS   影响因子和分区

2227-7390

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 a hypergraph-based multitask feature selection framework, referred to as HMTFS, which we apply to a functional magnetic resonance imaging (fMRI) dataset to extract task-related brain regions. HMTFS is characterized by its ability to construct a hypergraph through correlations between subjects, treating each subject as a node to preserve high-order information of time-varying signals. Additionally, it manages feature selection across different time windows in fMRI data as multiple tasks, facilitating time-constrained group sparse learning with a smoothness constraint. We utilize a large fMRI dataset from the Human Connectome Project (HCP) to validate the performance of HMTFS in feature selection. Experimental results demonstrate that brain regions selected by HMTFS can provide higher accuracy for downstream classification tasks compared to other competing feature selection methods and align with findings from previous neuroscience studies.

hypergraph multitask learning feature selection fMRI

SCI

英语

第一 ; 通讯

Mathematics

Mathematics

WOS:001245502300001

MDPI

Web of Science

1.Southern Univ Sci & Technol, Dept Biomed Engn, Shenzhen 518055, Peoples R China
2.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen 518055, Peoples R China
3.Univ Macau, Ctr Cognit & Brain Sci, Taipa 999078, Macao, Peoples R China
4.Univ Macau, Dept Psychol, Taipa 999078, Macao, Peoples R China

Qu, Youzhi,Fu, Kai,Wang, Linjing,et al. Hypergraph-Based Multitask Feature Selection with Temporally Constrained Group Sparsity Learning on fMRI[J]. MATHEMATICS,2024,12(11).

Qu, Youzhi,Fu, Kai,Wang, Linjing,Zhang, Yu,Wu, Haiyan,&Liu, Quanying.(2024).Hypergraph-Based Multitask Feature Selection with Temporally Constrained Group Sparsity Learning on fMRI.MATHEMATICS,12(11).

Qu, Youzhi,et al."Hypergraph-Based Multitask Feature Selection with Temporally Constrained Group Sparsity Learning on fMRI".MATHEMATICS 12.11(2024).