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

Figure 1

Illustration of the hierarchical procedure. At the 1st level of analysis (top), epoched data of each subject, comprising all trials, are analyzed to obtain the estimated beta parameters reflecting the effect of the various experimental conditions coded in the design matrix. Here the design is simplified from [7] and codes for the effect of stimulus 1, stimulus 2, and the noise level across all stimuli. At the 2nd level of analysis (bottom), the beta parameter(s) of experimental condition(s) coded at the 1st level are analyzed to test for significance across subjects. Here the 2nd level design matrix coded the subjects’ age thus performing a regression of age on the estimated parameters that reflected the effect of noise level on visual evoked responses.