A method for detecting statistically significant differences in EEG data

Nuno Fachada; Janir R. da Cruz; Michael H. Herzog; Patrícia Figueiredo; Agostinho C. Rosa

A method for detecting statistically significant differences in EEG data

Nuno Fachada, Janir R. da Cruz, Michael H. Herzog, Patrícia Figueiredo, Agostinho C. Rosa

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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.

Idioma original	Inglês
Estado da publicação	Publicadas - 2017
Publicado externamente	Sim
Evento	OHBM - Duração: 1 jan. 2017 → …

Conferência

Conferência	OHBM
Período	1/01/17 → …

Keywords

ELETROENCEFALOGRAMA
ESTATÍSTICA MULTIVARIADA
ANÁLISE DE DADOS

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2017 ohbm???researchoutput.electronicversion.versiontype.publishersversion???, 209 KB

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title = "A method for detecting statistically significant differences in EEG data",

abstract = "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.",

keywords = "ELETROENCEFALOGRAMA, ESTAT{\'I}STICA MULTIVARIADA, AN{\'A}LISE DE DADOS, MULTIVARIATE STATISTICS, PRINCIPAL COMPONENT ANALYSIS, DATA ANALYSIS, ELECTROENCEPHALOGRAPHY",

author = "Nuno Fachada and Cruz, {Janir R. da} and Herzog, {Michael H.} and Patr{\'i}cia Figueiredo and Rosa, {Agostinho C.}",

note = "Annual Meeting of the Organization for Human Brain Mapping; OHBM ; Conference date: 01-01-2017",

year = "2017",

language = "English",

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TY - CONF

T1 - A method for detecting statistically significant differences in EEG data

AU - Fachada, Nuno

AU - Cruz, Janir R. da

AU - Herzog, Michael H.

AU - Figueiredo, Patrícia

AU - Rosa, Agostinho C.

N1 - Annual Meeting of the Organization for Human Brain Mapping

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - ELETROENCEFALOGRAMA

KW - ESTATÍSTICA MULTIVARIADA

KW - ANÁLISE DE DADOS

KW - MULTIVARIATE STATISTICS

KW - PRINCIPAL COMPONENT ANALYSIS

KW - DATA ANALYSIS

KW - ELECTROENCEPHALOGRAPHY

UR - http://hdl.handle.net/10437/10195

M3 - Poster

T2 - OHBM

Y2 - 1 January 2017

ER -

A method for detecting statistically significant differences in EEG data

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Keywords

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