Identifying Boys With Autism Spectrum Disorder Based on Whole-Brain Resting-State Interregional Functional Connections Using a Boruta-Based Support Vector Machine Approach.
Lei ZhaoYun-Kai SunShao-Wei XueHong LuoXiao-Dong LuLanhua ZhangPublished in: Frontiers Neuroinformatics (2022)
Keyphrases
- resting state
- functional connectivity
- support vector machine
- activation detection
- brain activity
- healthy subjects
- brain connectivity
- autism spectrum disorder
- brain regions
- functional magnetic resonance imaging
- support vector
- feature selection
- diffusion tensor imaging
- feature vectors
- working memory
- motion correction
- functional brain
- cognitive load
- event related
- signal processing
- image analysis
- high dimensional