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ELAN: A Software Package for Analysis and Visualization of MEG, EEG, and LFP Signals
The recent surge in computational power has led to extensive methodological developments and advanced signal processing techniques that play a pivotal role in neuroscience. In particular, the field of brain signal analysis has witnessed a strong trend towards multidimensional analysis of large data...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3113286/ https://www.ncbi.nlm.nih.gov/pubmed/21687568 http://dx.doi.org/10.1155/2011/158970 |
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author | Aguera, Pierre-Emmanuel Jerbi, Karim Caclin, Anne Bertrand, Olivier |
author_facet | Aguera, Pierre-Emmanuel Jerbi, Karim Caclin, Anne Bertrand, Olivier |
author_sort | Aguera, Pierre-Emmanuel |
collection | PubMed |
description | The recent surge in computational power has led to extensive methodological developments and advanced signal processing techniques that play a pivotal role in neuroscience. In particular, the field of brain signal analysis has witnessed a strong trend towards multidimensional analysis of large data sets, for example, single-trial time-frequency analysis of high spatiotemporal resolution recordings. Here, we describe the freely available ELAN software package which provides a wide range of signal analysis tools for electrophysiological data including scalp electroencephalography (EEG), magnetoencephalography (MEG), intracranial EEG, and local field potentials (LFPs). The ELAN toolbox is based on 25 years of methodological developments at the Brain Dynamics and Cognition Laboratory in Lyon and was used in many papers including the very first studies of time-frequency analysis of EEG data exploring evoked and induced oscillatory activities in humans. This paper provides an overview of the concepts and functionalities of ELAN, highlights its specificities, and describes its complementarity and interoperability with other toolboxes. |
format | Online Article Text |
id | pubmed-3113286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-31132862011-06-17 ELAN: A Software Package for Analysis and Visualization of MEG, EEG, and LFP Signals Aguera, Pierre-Emmanuel Jerbi, Karim Caclin, Anne Bertrand, Olivier Comput Intell Neurosci Research Article The recent surge in computational power has led to extensive methodological developments and advanced signal processing techniques that play a pivotal role in neuroscience. In particular, the field of brain signal analysis has witnessed a strong trend towards multidimensional analysis of large data sets, for example, single-trial time-frequency analysis of high spatiotemporal resolution recordings. Here, we describe the freely available ELAN software package which provides a wide range of signal analysis tools for electrophysiological data including scalp electroencephalography (EEG), magnetoencephalography (MEG), intracranial EEG, and local field potentials (LFPs). The ELAN toolbox is based on 25 years of methodological developments at the Brain Dynamics and Cognition Laboratory in Lyon and was used in many papers including the very first studies of time-frequency analysis of EEG data exploring evoked and induced oscillatory activities in humans. This paper provides an overview of the concepts and functionalities of ELAN, highlights its specificities, and describes its complementarity and interoperability with other toolboxes. Hindawi Publishing Corporation 2011 2011-04-20 /pmc/articles/PMC3113286/ /pubmed/21687568 http://dx.doi.org/10.1155/2011/158970 Text en Copyright © 2011 Pierre-Emmanuel Aguera 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 Aguera, Pierre-Emmanuel Jerbi, Karim Caclin, Anne Bertrand, Olivier ELAN: A Software Package for Analysis and Visualization of MEG, EEG, and LFP Signals |
title | ELAN: A Software Package for Analysis and Visualization of MEG, EEG, and LFP Signals |
title_full | ELAN: A Software Package for Analysis and Visualization of MEG, EEG, and LFP Signals |
title_fullStr | ELAN: A Software Package for Analysis and Visualization of MEG, EEG, and LFP Signals |
title_full_unstemmed | ELAN: A Software Package for Analysis and Visualization of MEG, EEG, and LFP Signals |
title_short | ELAN: A Software Package for Analysis and Visualization of MEG, EEG, and LFP Signals |
title_sort | elan: a software package for analysis and visualization of meg, eeg, and lfp signals |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3113286/ https://www.ncbi.nlm.nih.gov/pubmed/21687568 http://dx.doi.org/10.1155/2011/158970 |
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