Discrimination between migraine patients and normal subjects based on steady state visual evoked potentials: discriminant analysis and artificial neural network classifiers.
Funct Neurol
; 12(6): 333-8, 1997.
Article
en En
| MEDLINE
| ID: mdl-9503196
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.
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Banco de datos:
MEDLINE
Asunto principal:
Potenciales Evocados Visuales
/
Homeostasis
/
Trastornos Migrañosos
Tipo de estudio:
Etiology_studies
/
Prognostic_studies
Límite:
Adult
/
Female
/
Humans
/
Male
/
Middle aged
Idioma:
En
Revista:
Funct Neurol
Asunto de la revista:
NEUROLOGIA
Año:
1997
Tipo del documento:
Article
País de afiliación:
Italia