Exploring the Asymmetrical Cortical Activity in Motor Areas Using Support Vector Machines

Abstract

A linear SVM with different inputs, i.e., the average volume within a task block and a single volume of a task block was used to explore the asymmetrical cortical activity in motor areas based on a vivo fMRI data of hand-grip experiment. Our results showed that a SVM with different inputs could get the discriminative activations between the left and right hand grips.