Abstract #4165
Automatic identification of ADHD and Autsim based on ICA and SVM using resting state fMRI
Jinze Li 1 , Gang Yu 1 , Pan Lin 2 , Yanhua Gao 3 , and Kai Ai 1
1
School of Geosciences and Info-Physics,
Central South University, Changsha, China,
2
Institute
of Biomedical Engineering, Xi'an Jiaotong University,
Xi'an, China,
3
Department
of B Ultrasound, Shaanxi Provincial People's hospital,
Xi'an, China
Psychiatric disorders are harmful to children and
adolescents. And its a hard work to distinguish the
corresponding patients from the healthy in early
diagnosis. Previous studies have proved that the brain
functional networks show abnormal pattern in children
and adolescents who suffer from mental diseases such as
attention deficit hyperactivity disorder (ADHD) and
autism disorder. This paper presents a combined method
based on independent components analysis (ICA) and
support vector machine to classify ADHD, Autism and
control group automatically. Based on the combined
method, more psychiatric disorders of children and
adolescents are expected to be automatically
distinguished in the future.
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