tes-attention

exp_program is the main program to run the experiment.

processing is the program to process the data. prepare_data is the MATLAB program to prepare the data for MNE-Pyhton.

Analysis of behavior data

• behavior is the program to analyze and plot the behavior data.
• Behavior data has been removed from repository.

Analysis of EEG data

eeg_overview is the program to plot the overview of the EEG data. (not used any more)

1. mkRaw_ica: make raw data and apply ICA
2. manual_pick_ica and ic_to_remove: are used for manual picking of ICA components
3. icaRepair: repair the ICA components based on ic_to_remove

exp_program: main program to run the experiment

1. main: main program to run the experiment
2. funcs: functions for the experiment
3. settings: settings for the experiment
4. trig_on_computer: trigger testing

Preprocessing of eeg data

1. rename_eeg: change the name of the variable from y to eeg.
2. trigger_align: align the trigger to eeg to remove delay.
3. remove_head_tail: remove the head and tail of raw eeg.`
4. event_channels: add event channels to raw eeg.
5. check_filter: check the data and see which filter is good.

• check_one_chan: check the data of one channel.

prepare_raw_file

1. mkRaw: make raw data as MNE format.
2. manual_pick_ica: manually pick ICAs to remove or keep, and save in ic_to_remove.csv
3. icaRepair: repair the ICA components based on ic_to_remove

eeg_analysis of eeg data

1. func4eeg: functions for eeg analysis
2. EvokedPotential: analysis of ERP, evoked response potential
3. FrequencyPower: analysis of FBP, frequency band power\
4. DetrendedFluctuation: analysis of DFA, detrended fluctuation analysis
5. EEG_ML: tried some machine learning on reaction time or sham/active classification, but not good
6. tmp_files: temporary files for eeg analysis

behavior for behavior data

• behavior: basic analysis of behavior data
• func4behav: functions for behavior analysis
• auto_significance: automatic detection of significant comparison
• behavior_all_subs: analysis of all subjects together -> the one actually used
• distribution_all_subs: distribution analysis of all subjects together
• distribution_by_subs: distribution analysis of each subject
• each_sub: analysis of each subject

paper_figs for figures in EMBC paper