Multimodal Brain Imaging Technique: A review of the applications in ADHD diagnosis

International Journal of Computer Trends and Technology (IJCTT)          
© 2017 by IJCTT Journal
Volume-46 Number-2
Year of Publication : 2017
Authors : Uma Maheswary.K, Dr.S.Manju Priya
DOI :  10.14445/22312803/IJCTT-V46P117


Uma Maheswary.K, Dr.S.Manju Priya "Multimodal Brain Imaging Technique: A review of the applications in ADHD diagnosis". International Journal of Computer Trends and Technology (IJCTT) V46(2):84-89, April 2017. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
Attention Deficit Hyperactive Disorder (ADHD) is neuro-biological disorder. It affects the behavior of a person. It makes difficulty even in doing his own routine work. In this proposed paper, the facts related to ADHD and the multimodal Brain Imaging techniques used to find out the abnormalities that lead to this chronic condition are discussed. The powerful techniques like Degree-Based Statistic, Neuroimaging of the Children’s Attention Project (NICAP),Rich-Club organization, mCCA + jICA – multiway fusion method, Machine Learning (ML) approach with the support of Multiple Support Vector Machine Recursive Feature Elimination (SVM-RFE) and Radial Basis Function Kernel SVM (RBF-SVM), Graph Cut Techniques, Multi-kernel learning (MKL) are analyzed here. The results of this study points out that ADHD is neurological disorder. It should be diagnosed earlier through the apt method and treated effectively for better and improved performances.

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Attention Deficit Hyperactivity Disorder , Multimodal Brain Imaging Techniques, Brain Disorders, Brain Structure.