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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...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2011
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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 |
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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 |
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