A method for detecting statistically significant differences in EEG data
Miniatura indisponível
Ficheiros
Data
2017
Título da revista
ISSN da revista
Título do Volume
Editora
OHBM
Resumo
The highly multivariate nature of EEG data often limits the search for statistically significant differences in data collected from two or more groups of subjects. We have recently developed a new technique for assessing whether two or more multidimensional samples are drawn from the same distribution. Here, we apply this to EEG data collected from schizophrenia patients and healthy controls while performing a Visual Backward Masking (VBM) task.
Descrição
Annual Meeting of the Organization for Human Brain Mapping
Palavras-chave
ELETROENCEFALOGRAMA, ESTATÍSTICA MULTIVARIADA, ANÁLISE DE DADOS, MULTIVARIATE STATISTICS, PRINCIPAL COMPONENT ANALYSIS, DATA ANALYSIS, ELECTROENCEPHALOGRAPHY
Citação
Fachada , N , Cruz , J R D , Herzog , M H , Figueiredo , P & Rosa , A C 2017 , ' A method for detecting statistically significant differences in EEG data ' , Paper presented at OHBM , 1/01/17 .