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...

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Bibliographic Details
Published in:Computational Intelligence and Neuroscience 2011-01, Vol.2011 (2011), p.51-61
Main Authors: Olivier, Bertrand, Caclin, Anne, Jerbi, Karim, Aguera, Pierre-Emmanuel
Format: Article
Language:English
Subjects:
Animal cognition
Brain - physiology
Brain Mapping
Brain Waves - physiology
Data processing
Design and construction
Electroencephalography
Humans
Image Processing, Computer-Assisted
Linux
Magnetoencephalography
Methods
Neurosciences
Signal processing
Software
Software packages
Technology application
Time Factors
Websites
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Summary: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.
ISSN:1687-5265
1687-5273
DOI:10.1155/2011/158970