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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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