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Computational Intelligence and Neuroscience
Volume 2011, Article ID 831409, 11 pages
Research Article

LIMO EEG: A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data

1Division of Clinical Neurosciences, SFC Brain Imaging Research Centre, SINAPSE Collaboration, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK
2Inserm; Imagerie Cérébrale et Handicaps Neurologiques UMR 825, 31059 Toulouse, France
3Université de Toulouse, UPS, Imagerie Cérébrale et Handicaps Neurologiques UMR 825, 31059 Toulouse, France
4Centre for Cognitive Neuroimaging (CCNi), Institute of Neuroscience and Psychology, University of Glasgow, Glasgow G12 8QB, UK

Received 21 September 2010; Revised 23 November 2010; Accepted 31 December 2010

Academic Editor: Sylvain Baillet

Copyright © 2011 Cyril R. Pernet et al. 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.


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.