• Mr.N.Senthilkumar M.E Scholar, Department of Computer Science, Kongu Engineering College, Perundurai, DtErode, TamilNadu, India
  • Dr. R.Thangarajan Assistant Professor, Department of Computer Science, Kongu Engineering College, Perundurai, Dt- Erode, TamilNadu, India
Keywords: Neuroimaging, Brain, Amygdala


The brain is arguably the most important organ in the human body. It controls and coordinates actions and reactions, allows us to think and feel, and enables us to have memories and feelings. Three brain structures namely the hippocampus, amygdala and prefrontal cortex help the brain determine what is stressful and how to respond. Depression in teenagers is a very serious medical problem that leads to long-lasting feelings of sadness along with a loss of interest in once enjoyed activities. Neuroimaging is the use of various techniques to either directly or indirectly image the structure and function of the nervous system. Magnetic resonance imaging (MRI) are two in types, viz., structural and functional imaging. Functional neuroimaging has greatly helped in understanding the cognitive functions of the brain and its impact on mental health and human behaviour. This paper describes the different types of neuroimaging techniques and its needed software configurations with statistical parametric mapping. This paper also elaborates the basic operations and MATLAB activities and it compare the at-risk and control group depression imaging fMRI analysis techniques with its snapshots.


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Chan, S.W.Y., Norbury, R., Goodwin, G.M., Harmer, C.J., (2009). Risk for depression and neural responses to fearful facial expressions of emotion, British Journal of Psychiatry, 194 (2), 139– 145. DOI:

Frank P. MacMaster, Joseph O’Neill, David R. Rosenberg, (2008). Brain imaging in pediatric obsessive compulsive disorder, National Center for Biotechnology Information, U.S. National Library of Medicine8600 Rockville Pike, BethesdaMD, 20894USA

Gaffrey,M.S., Barch, D.M., Singer, J., Shenoy, R., Luby, J.L.,(2013). Disrupted amygdala reactivity in depressed 4- to 6-year-old children, Journal of Am. Academic Child Adolescent Psychiatry, 52 (7), 737–746. DOI:

Hall, L.M.J., Klimes-Dougan, B., Hunt, R.H., Thomas, K.M., Houri, A., Noack, E., Mueller, B.A., Lim, K.O., Cullen, K.R. (2014).An FMRI study of emotional face processing in adolescent major depression, Journal of Affect. Disorder, 168, 44–50.

John D.E. Gabrieli, Satrajit S. Ghosh, and Susan Whitfield-Gabrieli (2014).Prediction as ahumanitarian and pragmatic contribution from human cognitive neuroscience, Elsevier 85(1), 11- 26. DOI:

Keedwell, P.A., Andrew, C., Williams, S.C.R., Brammer, M.J., Phillips, M.L (2005). A double dissociation of ventromedial prefrontal cortical responses to sad and happy stimuli in depressed and healthy individuals, Journal of Biological Psychiatry 58 (6), 495–503. DOI:

Kennard, Betsy, D (2009). Remission and Recovery Rates in the Treatment for Adolescents with Depression Study: Acute and Long-Term Outcomes. Journal of the American Academy of Child and Adolescent Psychiatry, 48 (2): 186–195.

Leah M.J. Hall, Bonnie Klimes-Dougan, Ruskin H. Hunt, Kathleen M. Thomas (2014).An fMRI Study of Emotional Face Processing in Adolescent Major Depression, Journal of Affective Disorders, 168, 44-50. DOI:

Mac Master, F.P., Mirza, Y., Szeszko, P.R., Kmiecik, L.E., Easter, P.C., Taormina, S.P., Lynch, M., Rose, M., Moore, G.J., Rosenberg, D.R (2008). Amygdala and hippocampal volumes in familial early onset major depressive disorder, Journal of Biological Psychiatry, 63(4), 385–390. DOI:

Michael S. Gaffrey et al., (2013)Towards the Study of Functional Brain Development in Depression: An Interactive Specialization Approach, Neurobiology of disease, 10.1016/j.nbd.2012.06.012

Paul A. Keedwell, Chris Andrew, Steven C.R. Williams, Mick J. Brammer&Mary L. Phillips (2005).Ventromedial Prefrontal Cortical Responses to Sad and Happy Stimuli in Depressed and Healthy Individuals, 58th Annual Meeting of the Society of Biological Psychiatry, May 15, 2003, San Francisco, California. DOI:

Stella W. Y. Chan (2009), The Image of Blood Oxygen dependent percent change, British Journal of Psychiatry, 194: 139-145. DOI:

How to Cite
Senthilkumar, N., & Thangarajan, R. (2017). FUNCTIONAL BRAIN CORRELATES OF RISK FOR MAJOR DEPRESSION IN CHILDREN AND YOUNG ADULTS . International Journal of Engineering Technologies and Management Research, 4(11), 25-35.