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

  IJCTT-book-cover
 
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

MLA

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. www.ijcttjournal.org. 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.

References
[1] Kwangsun Yoo, Peter Lee, Moo K. Chung, William S. Sohn, Sun Ju Chung, Duk L. Na, Daheen Ju, and Yong Jeong “Degree-Based Statistic and Center Persistency for Brain Connectivity Analysis” Human Brain Mapping 00:00-00 (2016) Wiley Periodicals, Inc.
[2] Timothy J. Silk, Sila Genc, Vicki Anderson, Daryl Efron, Philip Hazell, Jan M. Nicholson, Michael Kean, Charles B. Malpas, and Emma Sciberras “Developmental brain trajectories in children with ADHD and controls : a longitudinal neuroimaging study” BMC Psychiatry, 2016; 16:59. PMCID: PMC4787204.
[3] Siddharth Ray, Meghan Miller, Sarah Karalunas, C. J. Robertson , David Grayson, Paul Cary, Elizabeth Hawkey, Julia G. Painter, Daniel Kriz, Eric Fombonne, Joel T. Nigg, and Damien A. Fair “ Structural and functional connectivity of the human brain in autism spectrum disorders and attention –deficit/ hyper activity disorder : A rich club organization study.” Hum Brain Mapp, 2014 Dec;35 (12): 6032 – 6048.
[4] Jing Sui, Hao He, Quingbao Yu, Jiayu Chen, Jack Rogers, Godfrey D. Pearlson, Andrew Mayer, Juan Bustillo, Jose Canive, and Vince D. Calhoun “Combination of Resting State fMRI, DTI, and sMRI data to Discriminate Schizophrenia by N-way mCCA + jICA” Front Hum Neurosci. 2013; 7: 235.
[5] John B. Colby, Jeffry D. Rudie, Jesse A. Brown, Pamela K. Douglas, Mark S. Cohen and Zarrar Shehzad “ Insights into multimodal imaging classification of ADHD” original research article published 16 August 2012. Doi: 10.3389/fnsys. 2012.00059
[6] Jason W. Bohland , Sara Saperstein, Francisco Pereira, Jeremy Rapin, and Leo Grady “Network, Anatomical, and Non-Imaging Measures for the Predication of ADHD Diagnosis in Individual Subjects” Front Syst Neurosci. 2012; 6: 78
[7] Dai Dai, Jieqiong Wang, Jing Hua and Huiguang He “Classification of ADHD children through multimodal magnetic resonance imaging” original research article published : 03 september 2012 doi: 10.3389/fnsys.2012.00063
[8] R.Subhulakshmi “Diagnosis of ADHD using Brain Imaging Technique: A Survey” International Journal of Science and Research (IJSR) Volume 4 Issue 6, June 2015
[9] Sidong Liu, Weidong Cai, Siqi Liu, Fan Zhang, Michael Fulham, Dagan Feng, Sonia Pujol, Ron Kikinis “Multilodal neuro imaging computing: a review of the applications in neuropsychiatric disorders” Brain Informatics September 2015, Volume 2, Issue 3, pp 167-180
[10] Bibi Leila Hoseini, Maryam Ajilian Abbasi, Habibolah Taghizade Moghaddam, Gholamreza Khademi, Masumeh Saeidi ”Attention Deficit Hyperactivity Disorder (ADHD)” in Children: A Short Review and LiteratureInternational Journal of Pediatrics, Vol.2,N.4-3, Serial No.12, December 2014.
[11] Arati Kothari and Dr. B. Indira “An Overview on Automated Brain Tumor Segmentation Techniques”International Journal of Computer Trends and Technology (IJCTT) Volume 40 Number 1 – October 2016.
[12] Pratibha” Performance Evaluation of Skull Stripping Methods and Tools” International Journal of Computer Trends and Technology (IJCTT) – Volume 4 Issue 9 – Sep 2013 ISSN: 2231-2803.
[13] https://www.pinterest.com/explore/brain-lobes-andfunctions/
[14] http://www.ncbi.nlm.nih.gov/
[15] www.frontiersin.org

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