Design and implementation of an SVM-based computer classification system for discriminating depressive patients from healthy controls using the P600 component of ERP signals

Computer Methods and Programs in Biomedicine

Volumn 75, Issue 1, 2004, Pages 11-22

  Kalatzis, I ^a   Piliouras, N ^a   Ventouras, E ^a   Papageorgiou, C C ^b   Rabavilas, A D ^b   Cavouras, D ^a  

^a UNIVERSITY OF WEST ATTICA   (Greece)

^b NATIONAL AND KAPODISTRIAN UNIVERSITY OF ATHENS   (Greece)

Author keywords

Depression; Event related potentials ERPs; P600 component; Pattern recognition

Indexed keywords

COMPUTATIONAL METHODS; ELECTROENCEPHALOGRAPHY; NEUROPHYSIOLOGY; PATIENT TREATMENT; PSYCHOPHYSIOLOGY; WAVEFORM ANALYSIS;

EVENT-RELATED POTENTIAL (ERP) SIGNALS; SUPPORT VECTOR MACHINE (SVM);

BIOMEDICAL ENGINEERING;

ACCURACY; ALGORITHM; ARTICLE; CLINICAL ARTICLE; COMPUTER SYSTEM; CONTROLLED STUDY; DEPRESSION; DISEASE CLASSIFICATION; ELECTROENCEPHALOGRAPHY; EVENT RELATED POTENTIAL; FEMALE; HUMAN; LATENT PERIOD; MALE; NEUROPHYSIOLOGY; RATING SCALE;

CASE-CONTROL STUDIES; DEPRESSION; DIAGNOSIS, COMPUTER-ASSISTED; EVOKED POTENTIALS; FEMALE; GREECE; HUMANS; MALE;

EID: 2442623055     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2003.09.003     Document Type: Article

References (33)

1. Hertel P.T., Rude S.S. Depressive deficits in memory: focusing attention improves subsequent recall. J. Exp. Psychol. Gen. 120:1991;301-309
2. Heller W., Nitschke J.B. Regional brain activity in emotion: a framework for understanding cognition in depression. Cognition Emotion. 11:1998;637-661
3. R. Johnson Jr., Event-Related Brain Potentials and Cognition, Handbook of Neuropsychology, Elsevier, Amsterdam, 1995.
4. Boutros N., Nasrallah H., Leighty R., Torello M., Tueting P., Olson S. Auditory evoked potentials, clinical vs. research applications. Psychiatr. Res. 69:1997;183-195
5. M. Fabiani, G. Gratton, M. Coles, Event-related potentials: methods, theory, and applications, in: J. Cacioppo, L. Tassinary, G. Bernston (Eds.), Handbook of Psychophysiology, Cambridge University Press, New York, NY, 2000, pp. 53-84.
6. Frisch S., Kotz S., von Cramon D., Friederici A. Why the P600 is not just a P300: the role of the basal ganglia. Clin. Neurophysiol. 114:2003;336-340
7. Ruchkin D.S., Johnson R. Jr., Canoune H., Ritter W. Event-related potentials during arithmetic and mental rotation. Electroencephalogr. Clin. Neurophysiol. 85:1992;396-398
8. A. Baddeley, R. Logie, Working memory: the multiple-component model, in: A. Miyake, P. Shah (Eds.), Models of Working Memory, Cambridge University Press, New York, NY, 1999, pp. 28-61.
9. Guillem F., Bicu M., Pampoulova T., Hooper R., Bloom D., Wolf M.-A., Messier J., Desautels R., Todorov C., Lalonde P., Debruillea J.B. The cognitive and anatomo-functional basis of reality distortion in schizophrenia: a view from memory event-related potentials. Psychiatr. Res. 117:2003;137-158
10. Falkenstein M., Hohnsbein J., Hoormann J. Effects of choice complexity on different subcomponents of the late positive complex of the event-related potential. Electroencephalogr. Clin. Neurophysiol. 92:1994;148-160
11. Pelosi L., Slade T., Blumhardt L.D., Sharma V.K. Working memory dysfunction in major depression: an event-related potential study. Clin. Neurophysiol. 111:2000;1531-1543
12. Deldin P.J., Deveney C.M., Kim A.S., Casas B.R., Best J.L. A slow wave investigation of working memory biases in mood disorders. J. Abnormal Psychol. 110(2):2001;267-281
13. Slater J.D., Wu F.Y., Honig L.S., Ramsay R.E., Morgan R. Neural network analysis of the P300 event-related potential in multiple sclerosis. Electroencephalogr. Clin. Neurophysiol. 90:1990;114-122
14. Dasey T.J., Micheli-Tzanakou E. Detection of multiple sclerosis with visual evoked potentials - an unsupervised computational intelligence system. IEEE T. Inf. Technol. Biomed. 4:2000;216-224
15. Sveinsson J.R., Benediktsson J.A., Stefansson S.B., Davidsson K. Parallel principal component neural networks for classification of event-related potentials. Med. Eng. Phys. 19:1997;15-20
16. Palaniappan R., Paramesran R. Using genetic algorithm to identify the discriminatory subset of multi-channel spectral bands for visual response. Appl. Soft Comput. 2:2002;48-60
17. Vasios C., Papageorgiou C., Matsopoulos G.K., Nikita K.S., Uzunoglu N. A decision support system of evoked potentials for the classification of patients with first-episode schizophrenia. German J. Psychiatr. 5:2002;78-84
18. V. Kecman, Learning and Soft Computing, Support Vector Machines, Neural Networks, and Fuzzy Logic Models, MIT Press, Cambridge, MA, 2001, pp. 121-191.
19. Muller K.-R., Mika S., Ratsch G., Tsuda K., Schölkopf B. An introduction to kernel-based learning algorithms. IEEE T. Neural Network. 12:2001;181-202
20. Oldfield R.C. The assessment and analysis of handedness: the Edinburgh Inventory. Neuropsychologia. 9:1971;97-113
21. D. Wechsler, Manual for the Wechsler Adult Intelligence Scale, Psychological Corporation, New York, 1955.
22. Papageorgiou C., Ventouras E., Uzunoglu N., Rabavilas A., Stefanis C. Changes of P300 elicited during a working memory test in individuals with depersonalization-derealization experiences. Neuropsychobiology. 46:2002;70-75
23. Jasper H. The ten-twenty electrode system of the International Federation. Electroencephalogr. Clin. Neurophysiol. 10:1958;371-375
24. Binder J. Functional magnetic resonance imaging: language mapping. Neurosurg. Clin. North Am. 8:1997;383-392
25. S. Theodoridis, K. Koutroumbas, System evaluation, in: Pattern Recognition, Academic Press, UK, 1998 (Chapter 10).
26. N. Ahmed, K.R. Rao, Feature selection in pattern recognition, in: Orthogonal Transforms for Digital Signal Processing, Springer-Verlag, NY, 1975 (Chapter 10).
27. Kayser J., Bruder G.E., Tenke C.E., Stewart J.W., Quitkin F.M. Event-related potentials ERPs to hemifield presentations of emotional stimuli: differences between depressed patients and healthy adults in P3 amplitude and asymmetry. Int. J. Psychophysiol. 36:2000;211-236
28. Miller E.N., Fujioka T.A., Chapman L.J., Chapman J.P. Hemispheric asymmetries of function in patients with major affective disorders. J. Psychiatr. Res. 29:1995;173-183
29. Heller W., Etienne M.A., Miller G.A. Patterns of perceptual asymmetry in depression and anxiety: implications for neuropsychological models of emotion and psychopathology. J. Abnormal Psychol. 104:1995;327-333
30. Yovell Y., Sackeim H.A., Epstein D.G., Prudic J., Devanand D.P., McElhiney M.C., Settembrino J.M., Bruder G.E. Hearing loss and asymmetry in major depression. J. Neuropsychiatr. Clin. Neurosci. 7:1995;82-89
31. Atchley R.A., Ilardi S.S., Enloe A. Hemispheric asymmetry in the processing of emotional content in word meanings: the effect of current and past depression. Brain Lang. 84:2003;105-119
32. Emerson C.S., Harrison D.W., Everhart D.E. Investigation of receptive affective prosodic ability in school-aged boys with and without depression. Neuropsychiatr. Neuropsychol. Behav. Neurol. 12:1999;102-109
33. Stewart J.W., Quitkin F.M., McGrath P.J., Bruder G.E. Do tricyclic responders have different brain laterality? J. Abnormal Psychol. 108:1999;707-710