Cargando…

LIMO EEG: A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data

Magnetic- and electric-evoked brain responses have traditionally been analyzed by comparing the peaks or mean amplitudes of signals from selected channels and averaged across trials. More recently, tools have been developed to investigate single trial response variability (e.g., EEGLAB) and to test...

Descripción completa

Detalles Bibliográficos
Autores principales: Pernet, Cyril R., Chauveau, Nicolas, Gaspar, Carl, Rousselet, Guillaume A.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3049326/
https://www.ncbi.nlm.nih.gov/pubmed/21403915
http://dx.doi.org/10.1155/2011/831409
_version_ 1782199226181091328
author Pernet, Cyril R.
Chauveau, Nicolas
Gaspar, Carl
Rousselet, Guillaume A.
author_facet Pernet, Cyril R.
Chauveau, Nicolas
Gaspar, Carl
Rousselet, Guillaume A.
author_sort Pernet, Cyril R.
collection PubMed
description Magnetic- and electric-evoked brain responses have traditionally been analyzed by comparing the peaks or mean amplitudes of signals from selected channels and averaged across trials. More recently, tools have been developed to investigate single trial response variability (e.g., EEGLAB) and to test differences between averaged evoked responses over the entire scalp and time dimensions (e.g., SPM, Fieldtrip). LIMO EEG is a Matlab toolbox (EEGLAB compatible) to analyse evoked responses over all space and time dimensions, while accounting for single trial variability using a simple hierarchical linear modelling of the data. In addition, LIMO EEG provides robust parametric tests, therefore providing a new and complementary tool in the analysis of neural evoked responses.
format Text
id pubmed-3049326
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-30493262011-03-14 LIMO EEG: A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data Pernet, Cyril R. Chauveau, Nicolas Gaspar, Carl Rousselet, Guillaume A. Comput Intell Neurosci Research Article Magnetic- and electric-evoked brain responses have traditionally been analyzed by comparing the peaks or mean amplitudes of signals from selected channels and averaged across trials. More recently, tools have been developed to investigate single trial response variability (e.g., EEGLAB) and to test differences between averaged evoked responses over the entire scalp and time dimensions (e.g., SPM, Fieldtrip). LIMO EEG is a Matlab toolbox (EEGLAB compatible) to analyse evoked responses over all space and time dimensions, while accounting for single trial variability using a simple hierarchical linear modelling of the data. In addition, LIMO EEG provides robust parametric tests, therefore providing a new and complementary tool in the analysis of neural evoked responses. Hindawi Publishing Corporation 2011 2011-02-21 /pmc/articles/PMC3049326/ /pubmed/21403915 http://dx.doi.org/10.1155/2011/831409 Text en Copyright © 2011 Cyril R. Pernet et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Pernet, Cyril R.
Chauveau, Nicolas
Gaspar, Carl
Rousselet, Guillaume A.
LIMO EEG: A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data
title LIMO EEG: A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data
title_full LIMO EEG: A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data
title_fullStr LIMO EEG: A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data
title_full_unstemmed LIMO EEG: A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data
title_short LIMO EEG: A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data
title_sort limo eeg: a toolbox for hierarchical linear modeling of electroencephalographic data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3049326/
https://www.ncbi.nlm.nih.gov/pubmed/21403915
http://dx.doi.org/10.1155/2011/831409
work_keys_str_mv AT pernetcyrilr limoeegatoolboxforhierarchicallinearmodelingofelectroencephalographicdata
AT chauveaunicolas limoeegatoolboxforhierarchicallinearmodelingofelectroencephalographicdata
AT gasparcarl limoeegatoolboxforhierarchicallinearmodelingofelectroencephalographicdata
AT rousseletguillaumea limoeegatoolboxforhierarchicallinearmodelingofelectroencephalographicdata