LIMO files

1st level analysis using mass univariate approach

At import

LIMO.Level = 1 LIMO.data = information about the data LIMO.data.data_dir = directory where to read them LIMO.data.data = file name LIMO.data.chanlocs = import channel location information LIMO.data.start = when to start the analysis LIMO.data.end = when to stop the analysis LIMO.data.sampling_rate = sampliong rate of the data LIMO.data.Cat = Categorical variable(s)
LIMO.data.Cont = Continuous variable(s)
LIMO.data.neighbouring_matrix = matrix describing which electrodes are neighbourghs if bootstrap

LIMO.design = information about the design LIMO.design.fullfactorial = 0/1 specify if interaction should be included LIMO.design.zscore = 0/1 zscoring of continuous regressors LIMO.design.method = 'OLS',’WLS’ or ‘IRLS’ by default we use an ordinary least square approach but weighted least squares (one weight per trial – still in
validationor iterative reweighted least squares (different weights per time frames) can be used – to be validated LIMO.design.type_of_analysis = ‘Mass-univariate’ LIMO.design.bootstrap = 0/1 indicates if bootstrap should be performed or not (by default 0 for group studies)
LIMO.design.tfce = 0/1 indicates to compute TFCE or not

creation of the design matrix (limo_design_matrix.m)

LIMO.design.X = 2 dimensional matrix that describes the experiments' events LIMO.design.nb_conditions = vector that returns the number of conditions per factor e.g. [2 2 2] LIMO.design.nb_interactions = vector that returns the number of conditions perinteraction e.g. [4 4 4] LIMO.design.nb_continuous = scalar that returns the number of continuous variables e.g. [3] LIMO.design.name = name of the design LIMO.design.status = 'to do'

after estimation (limo_eeg(4) / limo_glm.m / limo_glm_boot.m)

LIMO.design.weights = matrix of trial weights

LIMO.model = information about the statistics LIMO.model.conditions_df = df [effect, error] LIMO.model.interactions_df = df [effect, error] LIMO.model.continuous_df = df [effect, error] LIMO.design.status = 'done'