Testing topographic differences between event related brain potentials by using non-parametric combinations of permutation tests
Electroencephalogr. clin. neurophysiol
; 102(3): 240-7, Mar. 1997.
Artigo
em Espanhol
| CUMED
| ID: cum-16060
Biblioteca responsável:
CU1
Localização: Centro Internacional de Restauración Neurológica
ABSTRACT
MANOVA and repeated measures ANOVA approaches have provided evidence of a number of limitations in several event-related potential (ERP) studies due to violations of their statistical assumptions and the typically moderate size of the available sample. Alternative, computer-intensive methods based on permutation principles have recently been developed. Up to now this methodology has focused mostly on magnitude differences between scalp distributions as measured by t statistics. In this paper the scope of permutation techniques in ERP analysis was widened. A new statistic (D statistic) is introduced to compare the shapes of scalp distributions of ERPs. Additionally a general non-parametric combinatory technique is introduced to evaluate, by means of multivariate permutation tests, several time points and/or recording sites in ERP data. The methodology described here was used to test if two ERP components elicited during word-pair matching tasks to semantic or phonological incongruences had different scalp distributions (AU)
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Coleções:
Bases de dados nacionais
/
Cuba
Base de dados:
CUMED
Assunto principal:
Mapeamento Encefálico
/
Análise de Variância
/
Eletroencefalografia
/
Potenciais Evocados
/
Cérebro
Limite:
Adolescente
/
Adulto
/
Feminino
/
Humanos
/
Masculino
Idioma:
Espanhol
Revista:
Electroencephalogr. clin. neurophysiol
Ano de publicação:
1997
Tipo de documento:
Artigo