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

Cyril Pernet | Zendy; Nicolas Chauveau | Zendy; Carl Gaspar | Zendy; Guillaume A. Rousselet | Zendy

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

Author(s) -

Cyril Pernet,

Nicolas Chauveau,

Carl Gaspar,

Guillaume A. Rousselet

Publication year - 2011

Publication title -

computational intelligence and neuroscience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.605

H-Index - 52

eISSN - 1687-5273

pISSN - 1687-5265

DOI - 10.1155/2011/831409

Subject(s) - electroencephalography , toolbox , computer science , parametric statistics , matlab , scalp , parametric model , linear model , artificial intelligence , pattern recognition (psychology) , machine learning , psychology , neuroscience , statistics , medicine , mathematics , anatomy , programming language , operating system

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.

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