From the general user interface you can:

1 – Import data, specify variables and run the Analyses for any number of subjects (Batch Import and Analyses)

2 – Re-analyze, i.e. re-estimate models.

2 – start the analysis for one or several groups of subjects (random effects)

3 – perform annex operations like creating expected sets of electrodes or creating optimized channel (LIMO tools)

4 – view results and perform further analyses (results)

5 – compute contrast for any (all) subjects

Subject analysis

Batch Import and Analyses allows you to read and import .set, i.e. data preprocessed in EEGLAB. You will also need some text files (.txt) or mat files (.mat) that you prepared to describe the occurrence of the different experimental conditions, in the order of the trials. Note it is also possible to run this analysis using STUDY.

Re-Analyze – at the end of a subject data import, a LIMO.mat file is created containing your design matrix – if estimation failed, or if you change some parameters in the LIMO.mat files, you can just re-run the analysis from there.

 

Random Effects

EEG data have to be processed for each subjects first (subject analysis) and parameters estimates from this 1^st analysis are used at this 2^nd level.

Random effects calls an interface for group analyses: robust means, t-tests, ANOVA etc ...

LIMO Tools calls a GUI to create various files useful for random effect analyses.

Results

In this section, results from both single subjects and group analysis can be visualized in various formats. Statistical results for the group can be explored using different correction for multiple testing techniques. It is also possible to further explore differences between conditions using the contrast manager (for pair-wise comparisons in a ANOVA for instance)

View Results loads the GUI to plot results under various formats

Contrast manager (also available in limo_results) calls a GUI to perform additional analyses for ANOVAs – also here allows to batch across all subjects.