Support Vector Machine for Analyzing Contributions of Brain Regions During Task-State fMRI

Support Vector Machine for Analyzing Contributions of Brain Regions During Task-State fMRI

The mainstream method used for the analysis of task functional Magnetic Resonance Imaging (fMRI) data, is to obtain task-related active brain regions based on generalized linear models. Machine learning as a data-driven technical method is increasingly used in fMRI data analysis. The language task d...

Full description

Bibliographic Details
Main Authors: Mengyue Wang, Chunlin Li, Wenjing Zhang, Yonghao Wang, Yuan Feng, Ying Liang, Jing Wei, Xu Zhang, Xia Li, Renji Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-03-01
Series:Frontiers in Neuroinformatics
Subjects:
generalized linear models
support vector machine
contribution of brain region
task fMRI
lasso regression
Online Access:https://www.frontiersin.org/article/10.3389/fninf.2019.00010/full

Internet

https://www.frontiersin.org/article/10.3389/fninf.2019.00010/full

Similar Items