EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing

Figure 2

EEGLAB STUDY design interface using the tutorial STUDY data available via the EEGLAB wiki (http://sccn.ucsd.edu/wiki/eeglab). The three push buttons at the top may be used to add a new design (“Add design”), rename a design (“Rename design”), or delete a design (“Delete design”). The “Independent variable 1” list helps define independent variables. The list of independent variables is automatically generated based on the STUDY definition information and individual data set event types. For a given independent variable, it is also possible to select a subset of its values or to combine some of its values. For instance, in this example the user has selected “ignore” and “memorize” stimuli as values for the independent variable “condition”. The “Subject” list contains the subjects to include in a specific design. Unselecting a given subject from the list excludes him/her from further data analysis within the design. Once a design is selected, measures including ERPs, mean spectra or event-related spectral perturbations (ERSP) may be plotted. Here, we have plotted the event-related spectral perturbations of an independent component (IC) cluster in the selected STUDY.design. In the top right panel, the scalp maps of one IC cluster are shown—the large map representing the average scalp map. In the bottom right panel, mean cluster ERSPs are shown for Ignore versus Memorize letter trials, and their significant differences are assessed using permutation-based statistics and a false discovery rate method to correct for multiple comparisons.