Three-way FMRI-DTI-methylation data fusion based on mCCA+jICA and its application to schizophrenia

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 2692-2695

  Sui, Jing ^a   He, Hao ^b   Liu, Jingyu ^b   Yu, Qingbao ^b   Adali, Tulay ^c   Pearlson, Godfrey D ^d   Calhoun, Vince D ^b  

^a MIND RESEARCH NETWORK   (United States)

^b UNIVERSITY OF NEW MEXICO   (United States)

^c UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

^d INSTITUTE OF LIVING   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL IMAGING; BRAIN ABNORMALITIES; CANONICAL CORRELATION ANALYSIS; DATA SETS; FUSION MODEL; JOINT ANALYSIS; JOINT INFORMATION; MULTI-MODAL FUSION; MULTI-SET; MULTIPLE DATA TYPES; MULTIVARIATE APPROACH; NEURAL CORRELATE;

ALKYLATION; DATA FUSION; INDEPENDENT COMPONENT ANALYSIS; MEDICAL IMAGING; METHYLATION; TENSORS;

DISEASES;

ADULT; ALGORITHM; ARTICLE; FEMALE; HUMAN; MALE; METHODOLOGY; MULTIVARIATE ANALYSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PATHOPHYSIOLOGY; SCHIZOPHRENIA; YOUNG ADULT;

ADULT; ALGORITHMS; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MULTIVARIATE ANALYSIS; SCHIZOPHRENIA; YOUNG ADULT;

EID: 84883038771     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6346519     Document Type: Conference Paper

References (19)

1. V.D. Calhoun, T. Adali, N.R. Giuliani, J.J. Pekar, K.A. Kiehl, and G.D. Pearlson, "Method for multimodal analysis of independent source differences in schizophrenia: combining gray matter structural and auditory oddball functional data," Hum Brain Mapp, vol. 27, (no. 1), pp. 47-62, Jan 2006.
2. H. Yang, J. Liu, J. Sui, G.D. Pearlson, and V.D. Calhoun, "A Hybrid Machine Learning Method for Fusing fMRI and Genetic Data: Combining both Improves Classification of Schizophrenia," Front Hum Neurosci, vol. 4, pp. 192, 2010.
3. N.M. Correa, T. Eichele, T. Adali, Y.O. Li, and V.D. Calhoun, "Multiset canonical correlation analysis for the fusion of concurrent single trial ERP and functional MRI," Neuro Image, Jan 25 2010.
4. K. Chen, E.M. Reiman, Z. Huan, R.J. Caselli, D. Bandy, N. Ayutyanont, and G.E. Alexander, "Linking functional and structural brain images with multivariate network analyses: a novel application of the partial least square method," Neuro Image, vol. 47, (no. 2), pp. 602-10, 2009.
5. F.H. Lin, A.R. McIntosh, J.A. Agnew, G.F. Eden, T.A. Zeffiro, and J.W. Belliveau, "Multivariate analysis of neuronal interactions in the generalized partial least squares framework: simulations and empirical studies," Neuro Image, vol. 20, (no. 2), pp. 625-42, Oct 2003.
6. A.R. Groves, C.F. Beckmann, S.M. Smith, and M.W. Woolrich, "Linked independent component analysis for multimodal data fusion," Neuro Image, vol. 54, (no. 3), pp. 2198-2217, Oct 4 2011.
7. Y.O. Li, T. Adali, and V.D. Calhoun, "Estimating the number of independent components for functional magnetic resonance imaging data," Hum Brain Mapp, vol. 28, (no. 11), pp. 1251-66, Nov 2007.
8. Y.O. Li, T. Adali, W. Wang, and V.D. Calhoun, "Joint Blind Source Separation by Multi-set Canonical Correlation Analysis," IEEE Trans Signal Process, vol. 57, (no. 10), pp. 3918-3929, Oct 1 2009.
9. J. Sui, G. Pearlson, A. Caprihan, T. Adali, K.A. Kiehl, J. Liu, J. Yamamoto, and V.D. Calhoun, "Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model," Neuro Image, vol. 57, (no. 3), pp. 839-55, Aug 1 2011.
10. A.J. Bell and T.J. Sejnowski, "An information-maximization approach to blind separation and blind deconvolution," Neural Comput, vol. 7, (no. 6), pp. 1129-59, Nov 1995.
11. N. Thomos, N.V. Boulgouris, and M.G. Strintzis, "Optimized Transmission of JPEG2000 Streams Over Wireless Channels," IEEE Trans Image Process, vol. 15, (no. 1), 2006.
12. J. Sui, T. Adali, G.D. Pearlson, and V.D. Calhoun, "An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques," Neuro Image, vol. 46, (no. 1), pp. 73-86, May 15 2009.
13. O. Demirci, V.P. Clark, V.A. Magnotta, N.C. Andreasen, J. Lauriello, K.A. Kiehl, G.D. Pearlson, and D.C. Calhoun, "A Review of Challenges in the use of fMRI for Disease Classification / Characterization and A Projection Pursuit Application from Multi-site fMRI Schizophrenia Study," Brain Imaging and Behavior, vol. 2, (no. 3), pp. 207-226, 2008.
14. V.D. Calhoun, K.A. Kiehl, P.F. Liddle, and G.D. Pearlson, "Aberrant localization of synchronous hemodynamic activity in auditory cortex reliably characterizes schizophrenia," Biological psychiatry, vol. 55, (no. 8), pp. 842-9, Apr 15 2004.
15. J. Schroder, M. Essig, K. Baudendistel, T. Jahn, I. Gerdsen, A. Stockert, L.R. Schad, and M.V. Knopp, "Motor dysfunction and sensorimotor cortex activation changes in schizophrenia: A study with functional magnetic resonance imaging," Neuro Image, vol. 9, (no. 1), pp. 81-7, Jan 1999.
16. R.G. Schlosser, I. Nenadic, G. Wagner, D. Gullmar, K. von Consbruch, S. Kohler, C.C. Schultz, K. Koch, C. Fitzek, P.M. Matthews, J.R. Reichenbach, and H. Sauer, "White matter abnormalities and brain activation in schizophrenia: a combined DTI and fMRI study," Schizophrenia research, vol. 89, (no. 1-3), pp. 1-11, Jan 2007.
17. L.M. Williams, P. Das, A.W. Harris, B.B. Liddell, M.J. Brammer, G. Olivieri, D. Skerrett, M.L. Phillips, A.S. David, A. Peduto, and E. Gordon, "Dysregulation of arousal and amygdala-prefrontal systems in paranoid schizophrenia," The American journal of psychiatry, vol. 161, (no. 3), pp. 480-9, Mar 2004.
18. S.W. Robinson and M.G. Caron, "Selective inhibition of adenylyl cyclase type V by the dopamine D3 receptor," Mol Pharmacol, vol. 52, (no. 3), pp. 508-14, Sep 1997.
19. P. Minoretti, P. Politi, E. Coen, C. Di Vito, M. Bertona, M. Bianchi, and E. Emanuele, "The T393C polymorphism of the GNAS1 gene is associated with deficit schizophrenia in an Italian population sample," Neurosci Lett, vol. 397, (no. 1-2), pp. 159-63, Apr 10-17 2006.