Detection of schizophrenia using fMRI data via projection pursuit

Oguz Demirci; Vince D. Calhoun

doi:10.1109/MLSP.2007.4414306

Detection of schizophrenia using fMRI data via projection pursuit

Oguz Demirci
, Vince D. Calhoun

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

Schizophrenia is currently diagnosed based upon symptoms and there is no quantitative, biologically based technique as yet. Classification of individuals into schizophrenia and control groups based on fMRI data is thus of great interest to support, psychiatric diagnoses. We applied a novel projection pursuit technique on the default mode component of 70 subjects' fMRI data obtained during an auditory odd-ball task. The validity of the technique was tested with a leave-one-out method and the detection performance varied between 80% and 90% applying different masks. The findings suggest that the proposed data reduction algorithm is effective in classifying individuals into schizophrenia and control groups and useful as a diagnostic tool.

Original language	English (US)
Title of host publication	Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP
Pages	199-204
Number of pages	6
DOIs	https://doi.org/10.1109/MLSP.2007.4414306
State	Published - Dec 1 2007
Externally published	Yes
Event	17th IEEE International Workshop on Machine Learning for Signal Processing, MLSP-2007 - Thessaloniki, Greece Duration: Aug 27 2007 → Aug 29 2007

Publication series

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

Other

Other	17th IEEE International Workshop on Machine Learning for Signal Processing, MLSP-2007
Country/Territory	Greece
City	Thessaloniki
Period	8/27/07 → 8/29/07

ASJC Scopus subject areas

General Computer Science
Signal Processing

Access to Document

10.1109/MLSP.2007.4414306

Cite this

Demirci, O., & Calhoun, V. D. (2007). Detection of schizophrenia using fMRI data via projection pursuit. In Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP (pp. 199-204). Article 4414306 (Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP). https://doi.org/10.1109/MLSP.2007.4414306

Detection of schizophrenia using fMRI data via projection pursuit. / Demirci, Oguz; Calhoun, Vince D.
Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP. 2007. p. 199-204 4414306 (Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Demirci, O & Calhoun, VD 2007, Detection of schizophrenia using fMRI data via projection pursuit. in Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP., 4414306, Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP, pp. 199-204, 17th IEEE International Workshop on Machine Learning for Signal Processing, MLSP-2007, Thessaloniki, Greece, 8/27/07. https://doi.org/10.1109/MLSP.2007.4414306

Demirci O, Calhoun VD. Detection of schizophrenia using fMRI data via projection pursuit. In Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP. 2007. p. 199-204. 4414306. (Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP). doi: 10.1109/MLSP.2007.4414306

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Detection of schizophrenia using fMRI data via projection pursuit

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