Detection of schizophrenia using fMRI data via projection pursuit

Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP

Volumn , Issue , 2007, Pages 199-204

  Demirci, Oguz ^a   Calhoun, Vince D ^a,b  

^a MIND RESEARCH NETWORK   (United States)

^b MSC01 1070   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL GROUPS; DETECTION PERFORMANCES; DIAGNOSTIC TOOLS; FMRI DATA; IEEE SIGNAL PROCESSING SOCIETY; LEAVE-ONE-OUT METHODS; MACHINE-LEARNING; NOVEL PROJECTION; PROJECTION PURSUITS; REDUCTION ALGORITHMS;

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DATA REDUCTION; HEALTH; KETONES; ROBOT LEARNING; SIGNAL PROCESSING;

LEARNING SYSTEMS;

EID: 48149085347     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2007.4414306     Document Type: Conference Paper

References (15)

1. S. Ogawa, T. M. Lee, A. R. Kay, and D. W. Tank, "Brain magnetic resonance imaging with contrast dependent on blood oxygenation.," Proceedings of the National Academy of Sciences, vol. 87, pp. 9868-9872, 1990.
2. World Health Organization, "The ICD-10 classification of Mental and Behavioral Disorders: Diagnostic Criteria for Research," 1993.
3. S. V. Shinkareva, H. C. Ombao, B. P. Sutton, A. Mohanty, and G. A. Miller, "Classification of functional brain images with a spatio-temporal dissimilarity map," Neurolmage, vol. 33, pp. 63-71, 2006.
4. K. Nakamura, Y. Kawasaki, M. Suzuki, H. Hagino, K. Kurokawa, T. Takahashi, L. Niu, M. Matsui, H. Seto, and M. Kurachi, "Multiple structural brain measures obtained by three-dimensional magnetic resonance imaging to distinguish between schizophrenia patients and normal subjects.," Am J Psychiatry, vol. 158, pp. 1809-1817,2001.
5. 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.," Biol Psychiatry, vol. 55, pp. 842-849, 2004.
6. A. G. Garrity, G. D. Pearlson, K McKiernan, D. Lloyd, K. A. Kiehl, and V. D. Calhoun, "Aberrant "default mode" functional connectivity in schizophrenia," Am J Psychiatry, vol. 164:3, pp. 450-457, 2007.
7. Y. Kawasaki, M. Suzuki, F. Kherif, T. Takahashi, S. Zhou, K. Nakamura, M. Matsui, T. Sumiyoshi, H. Seto, and M. Kurachi, "Multivariate voxel-based morphometry successfully differentiates schizophrenia patients from healthy controls," NeuroImage, vol. 34, pp. 235-242, 2007
8. L. O. Jimenez and D. A. Landgrebe "Supervised classification in high-dimensional space: Geometrical statistical, and asymptotical properties of multi variate data)' IEEE Trans actions on Systems, Man, and Cybernetics Part C, vol. 28 pp 39-54 1998.
9. L. O. Jimenez and D. A. Landgrebe "Hyperspectral data analysis and supervised feature reduction via projection pursuit," IEEE Transactions on Geoscience and Remote Sensing, vol. 37, pp. 2653-2667, 1999.
10. P. J. Huber, "Projection pursuit," Annzals of Statistics, vol. 13, pp. 435-475, 1985.
11. O. Demirci, J. S. Tyo, and E. A. Ritchie, "Spatial and Spatiotemporal Projection Pursuit Techniques to Predict the Extratropical Transition of Tropical Cyclones," IEEE Transactions on Geoscience and Remote Sensing, vol. 45, pp. 418-425, 2007.
12. K. A. Kiehl and P. F. Liddle, "An event-related functional magnetic resonance imaging study of an auditory oddball task in schizophrenia.," Schizophr Research, vol. 48, pp. 159-171, 2001.
13. L. Freire, A. Roche, and J. F. Mangin, "What is the best similarity measure for motion correction in fmri time series?," IEEE Trans. Med. Imaging, vol. 21, pp. 470-484, 2002.
14. K. Friston, J. Ashbumer, C. D. Frith, J. P. Poline, J. D. Heather, and R. S. Frackowiak, "Spatial registration and normalization of images," Hum. Brain Map., vol. 2, pp. 165-189, 1995.
15. G. Strang, Linear Algebra and its Applications, Sounders College Publishing, 1986.