The files in this folder contain MATLAB code for analysis of the EEG data, and R code for the statistical analyses and analysis of the behavioral data. Most fall under the MIT license (as published on [the Open Science Framework page](https://osf.io/bnwap/)), but please note the exceptions in the `lib` subfolder (documented below). * `MFBrain.Rmd`: R notebook with analysis code that will reproduce all of the statistical results in the paper. * `MFBrain.nb.html`: HTML output of the notebook, meant for viewing in any browser. All of the MATLAB functions documented below are called from within the following top-level master scripts: * `MFBrain_master_reproduce.m`: starts from the provided (fully processed) EEG data and statistics files, and reproduces the plots in the paper. * `MFBrain_master_recompute.m`: starts from the preprocessed data and recomputes the ERP and time-frequency results. Also contains the code to write out (new) statistics files and produce the plots. # `/func` Functions particular to this project: * `MFBrain_baseline.m`: perform dB conversion and baseline data for the theta power analyses. * `MFBrain_combine_level1_data.m`: load in data (from `/data/EEG/level1`) and combine data files produced by `MFBrain_level1.m` * `MFBrain_figure2.m`, `MFBrain_figure3.m`, `MFBrain_figure4.m`, `MFBrain_figure5.m`: reproduce the plots in the paper. N.B. some minor editing of the plots in the paper was done by hand (to adjust their position, add legends, etc.). * `MFBrain_group_stats.m`: extract data and write to text files for use with statistical software. The text files are written to `data/EEG/statistics`, analyzed with `src/MFBrain.Rmd`, and plotted with the `MFBrain_figure` functions. * `MFBrain_lateralization_index.m`: calculate the lateralization index used for the alpha power analyses. * `MFBrain_level1.m`: compute ERPs and time-frequency data (trial-averaged power and inter-trial phase clustering). For every participant, loads a fully preprocessed `.mat` data file from `data/EEG/processed` and saves the output to `data/EEG/level1`. See the `README` files in the `/data` directory for more info. # `/lib` Source code that's _not_ particular to this project: * `brewermap.m`: Used to produce the colormap for the theta inter-trial phase clustering results. This code was written by others and falls under a different license; see `brewermap_LICENSE.TXT`. * `/eeglab13_0_1b`: [EEGLAB](https://sccn.ucsd.edu/eeglab/index.php) version 13_0_1b was used to analyze and plot the EEG data. This code was written by others and falls under a different license; see `/eeglab13_0_1b/eeglablicense.txt`. * `within_error.m`: compute confidence intervals corrected for within-subject designs. * `within_error_diff.m`: compute confidence intervals for the difference between paired observations.