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...

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Bibliographic Details
Published in:Computational Intelligence and Neuroscience 2011-01, Vol.2011 (2011), p.292-302
Main Authors: Pernet, Cyril R., Chauveau, Nicolas, Gaspar, Carl, Rousselet, Guillaume A.
Format: Article
Language:English
Subjects:
Brain - physiology
Confidence intervals
Design
Electrodes
Electroencephalography
Electroencephalography - methods
Electronic data processing
Evoked Potentials - physiology
Humans
Linear Models
Medical imaging
Methods
Signal Processing, Computer-Assisted
Software
Software - standards
Statistical methods
Studies
Technology application
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Summary: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.
ISSN:1687-5265
1687-5273
DOI:10.1155/2011/831409