Fifty-one migraine patients and 19 control subjects were examined by steady state visual evoked potentials (SSVEPs) procedure. The aim of this study was to develop a discriminant analysis and an artificial neural network (NN) classifier in order to discriminate between migraneurs during attack-free periods and normal subjects. Discriminant analysis correctly classified 72.5 % of migraine patients with a false positive rate of 36.8 %. The NN method had a sensitivity of 100% with a false positive rate of 15%. The results of this study confirm SSVEP pattern as a marker of migraine and demonstrate that NNs could be a useful method in the statistical analysis of topographic EEG data.

Discrimination between migraine patients and normal subjects based on steady state visual evoked potentials: Discriminant analysis and artificial neural network classifiers / De Tommaso, M.; Sciruicchio, V.; Bellotti, R.; Castellano, M.; Tota, P.; Guido, M.; Sasanelli, G.; Puca, F.. - In: FUNCTIONAL NEUROLOGY. - ISSN 0393-5264. - STAMPA. - 12:6(1997), pp. 333-338.

Discrimination between migraine patients and normal subjects based on steady state visual evoked potentials: Discriminant analysis and artificial neural network classifiers

Castellano, M.;
1997-01-01

Abstract

Fifty-one migraine patients and 19 control subjects were examined by steady state visual evoked potentials (SSVEPs) procedure. The aim of this study was to develop a discriminant analysis and an artificial neural network (NN) classifier in order to discriminate between migraneurs during attack-free periods and normal subjects. Discriminant analysis correctly classified 72.5 % of migraine patients with a false positive rate of 36.8 %. The NN method had a sensitivity of 100% with a false positive rate of 15%. The results of this study confirm SSVEP pattern as a marker of migraine and demonstrate that NNs could be a useful method in the statistical analysis of topographic EEG data.
1997
Discrimination between migraine patients and normal subjects based on steady state visual evoked potentials: Discriminant analysis and artificial neural network classifiers / De Tommaso, M.; Sciruicchio, V.; Bellotti, R.; Castellano, M.; Tota, P.; Guido, M.; Sasanelli, G.; Puca, F.. - In: FUNCTIONAL NEUROLOGY. - ISSN 0393-5264. - STAMPA. - 12:6(1997), pp. 333-338.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/1335
Citazioni
  • Scopus 12
  • ???jsp.display-item.citation.isi??? 12
social impact