Fachada, NunoCruz, Janir R. daHerzog, Michael H.Figueiredo, PatríciaRosa, Agostinho C.2020-06-012020-06-012017Fachada, N., da Cruz, J.R., Herzog, M.H., Figueiredo, P. & Rosa, A.C. (2017). A method for detecting statistically significant differences in EEG data. Annual Meeting of the Organization for Human Brain Mapping, OHBM 2017, Vancouver, Canadahttp://hdl.handle.net/10437/10195Annual Meeting of the Organization for Human Brain MappingThe 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.application/pdfengopenAccessELETROENCEFALOGRAMAANÁLISE DE DADOSPRINCIPAL COMPONENT ANALYSISMULTIVARIATE STATISTICSELECTROENCEPHALOGRAPHYESTATÍSTICA MULTIVARIADADATA ANALYSISconferenceObject