Testing topographic differences between event related brain potentials by using non-parametric combinations of permutation tests
- 作者：Galá ; n ; Lí ; dice ; Biscay ; Rolando ; Rodrí ; guez ; Juan Luis ; Pé ; rez-Abalo ; Maria Cecilia ; et. al.
- 关键词：Statistical analysis ; Event-related potential ; Brain topographic analysis ; Permutation tests
- 刊名：Electroencephalography and Clinical Neurophysiology
- 出版年：1997
- 期刊代码：84_00134694
- 类别：med
- 出版时间：March, 1997
- 卷：102
- 期：3
- 页码：240-247
- 文件大小：621 K
摘要
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.