Efficient Psychological Disorder Analysis With Multimodal Fusion of Brain Imaging Data
IT Skills Show & International Conference on Advancements in Computing Resources, (SSICACR-2017) 15 and 16 February 2017, Alagappa University, Karaikudi, Tamil Nadu, India. International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)
Download this PDF format
Abstract
The mental disorders can be defined generally through a combination of features that reflect the feelings of a person or his actions and explain his thinking and perceptions. Mental illnesses include psychological or behavioral configurations that are frequently correlated with distress or disability. Thus, around 80% of Bipolar disorder patients who are going through depressive episodes receive an incorrect diagnosis. Depression and mania are thought to be heterogeneous illnesses that can result from dysfunction of numerous neurotransmitters or metabolic systems.
References
[1] K. Cuellar, S. L. Johnson, and R. Winters,“Distinctions between bipolar and unipolar depression,” Clinical Psychol. Rev., vol. 25, no.3, pp. 307–339, 2005.
[2] J. R. Cardoso de Almeida and M. L. Phillips, “Distinguishing between unipolar depression and bipolar depression: Current and future clinical and neuroimaging perspectives,” Biol. Psychiatr. , vol. 73, no. 2, pp.111–8, Jan. 15, 2013.
[3] D. Dudek, M. Siwek, and D. Zielinska et al., “Diagnostic conversions from major depressive disorder into bipolar disorder in an outpatient setting: Results of a retrospective chart review,” J. Affective Disorders, vol. 144, no. 1–2, pp. 112–5, Jan. 10, 2013.
[4] F. P. MacMaster, R. Leslie, and D. R. Rosenberg et al., “Pituitary gland volume in adolescent and young adult bipolar and unipolar depression,”Bipolar Disorder, vol. 10, no. 1, pp. 101–4, Feb. 2008.
[5] J. Sui, T. Adali, and Q. Yu et al., “A review of multivariate methods for multimodal fusion of brain imaging data,” J. Neurosci. Methods, vol. 204, no. 1, pp. 68–81, 2012.
[6] L. L. Zeng, H. Shen, and L. Liu et al., “Identifying major depression using wholebrain functional connectivity: A multivariate pattern analysis,” Brain, vol. 135, no. Pt 5, pp. 1498–507, May 2012.
[7] V. D. Calhoun and T. Adali, “Feature-based fusion of medical imaging data,” IEEE Trans. Inf. Technol. Biomed., vol. 13, no. 5, pp. 711–720,Sep. 2009.
[8] M. P. DelBello, S. M. Strakowski, and M. E. Zimmerman et al., “MRI analysis of the cerebellum in bipolar disorder: A pilot study,” Neuropsychopharmacol.,vol. 21, no. 1, pp. 63–68, 1999.
[9] J. Sui, G. Pearlson, and A. Caprihan et al., “Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model,” Neuroimage, vol. 57, no. 3, pp.839–855, 2011.
[10] D. Öngür, M. Lundy, and I. Greenhouse et al., “Default mode network abnormalities in bipolar disorder and schizophrenia,” Psychiatr. Res.: Neuroimaging, vol. 183, no. 1, pp. 59–68, 2010.
[11] M. Phillips, M. Travis, and A. Fagiolini et al., “Medication effects in neuroimaging studies of bipolar disorder,” Amer. J. Psychiatr., vol. 165, no. 3, pp. 313–320, 2008.
[12] D. Malaspina, et al., "Schizoaffective Disorder in the DSM-5," Schizophr Res, vol. 150(1), pp. 21-25, 2013.
[13] V. E. Cosgrove and T. Suppes, "Informing DSM-5: biological boundaries between bipolar I disorder, schizoaffective disorder, and schizophrenia," BMC Med, 11: 127, 2013.
[14] D. Ongur, et al., "Default mode network abnormalities in bipolar disorder and schizophrenia," Psychiatry Res, vol. 183(1), pp. 59-68, 2010.
[15] M. Argyelan, T. Ikuta, P. DeRosse, R. J. Braga, K. E. Burdick, M. John, P. B. Kingsley, A. K. Malhotra and P. R. Szeszko, "Resting-state FMRI connectivity impairment in schizophrenia and bipolar disorder," Schizophr Bull, vol. 40(1), pp. 100-110, 2014.
[16] T. M. Laursen, E. Agerbo and C. B. Pedersen, "Bipolar disorder, schizoaffective disorder, and schizophrenia overlap: a new comorbidity index," J Clin Psychiatry, vol. 70(10), pp. 1432-1438, 2009.
[17] R. Lake and N. Hurwitz, "Schizoaffective disorders are psychotic mood disorders; there are no schizoaffective disorders," Psychiatry Res, vol. 143(2-3), pp. 255-287, 2006.
[18] V. D. Calhoun and T. Adali, "Multisubject independent component analysis of fMRI: a decade of intrinsic networks, default mode, and neurodiagnostic discovery," IEEE Rev Biomed Eng, vol. 5, pp. 60-73, 2012.
[19] Y. H. Du and Y. Fan, "Group information guided ICA for fMRI data analysis," Neuroimage, vol. 69, pp. 157- 197, 2013.
[20] E. B. Erhardt, S. Rachakonda, E. J. Bedrick, E. A. Allen, T. Adali and V.D. Calhoun, "Comparison of multi-subject ICA methods for analysis of fMRI data," Hum Brain Mapp, vol. 32(12), pp. 2075- 2095, 2011.
[21] J. Himberg, A. Hyvarinen and F. Esposito, "Validating the independent components of neuroimaging time series via clustering and visualization," Neuroimage, vol. 22(3), pp. 1214-1222, 2004.
Keywords
Bipolar Disorder and Major Depressive Disorder, Multimodal Fusion, Neuroimaging, MRI Data, Data Driven Techniques.