LIMO EEG: A Toolbox for hierarchical LInear MOdeling of ElectroEncephaloGraphic data

Pernet, C.R., Chauveau, N., Gaspar, C. and Rousselet, G.A. (2011) LIMO EEG: A Toolbox for hierarchical LInear MOdeling of ElectroEncephaloGraphic data. Computational Intelligence and Neuroscience, 2011, (doi: 10.1155/2011/831409)

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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.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Rousselet, Dr Guillaume and Gaspar, Dr Carl
Authors: Pernet, C.R., Chauveau, N., Gaspar, C., and Rousselet, G.A.
College/School:College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
Journal Name:Computational Intelligence and Neuroscience
Publisher:Hindawi Publishing Corporation
Copyright Holders:Copyright © 2011 The Authors
First Published:First published in Computational Intelligence and Neuroscience
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
504051Fluent reading and the brain: co-registration and statistical decomposition of eye fixations and anatomically-based electrophysiologySara SerenoEconomic & Social Research Council (ESRC)ES/G035571/1INP - CENTRE FOR COGNITIVE NEUROIMAGING