Individual classification of children with epilepsy using support vector machine with multiple indices of diffusion tensor imaging.

ABSTRACT:

Introduction

Support vector machines (SVM) have recently been demonstrated to be useful for voxel-based MR image classification. In the present study we sought to evaluate whether this method is feasible in the classification of childhood epilepsy intractability based on diffusion tensor imaging (DTI), with adequate accuracy. We applied SVM in conjunction DTI indices of fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD) and axial diffusivity (AD). DTI studies have reported white matter abnormalities in childhood-onset epilepsy, but the mechanisms underlying these abnormalities are not well understood. The aim of this study was to examine the relationship between epileptic seizures and cerebral white matter abnormalities identified by DTI in children with act

SUBMITTER: Amarreh I 

PROVIDER: S-EPMC4053650 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature