Spatial-temporal data-augmentation-based functional brain network analysis for brain disorders identification
Abstract
Due to the lack of devices and the difficulty of gathering patients, the small sample size is one of the most challenging problems in functional brain network (FBN) analysis. Previous studies have attempted to solve this problem of sample limitation through data augmentation methods, such as sample transformation and noise addition. However, these methods ignore the unique spatial-temporal information of functional magnetic resonance imaging (fMRI) data, which is essential for FBN analysis.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- May 17, 2023
- Source ID
- 10.3389/fnins.2023.1194190
Entities
People
- Lingyun Guo
- Qinghua Liu
- Yangyang Zhang
- Zhengxia Wang
Organizations
- National Natural Science Foundation of China