Folder structure for analysis
study
subject (example NY77)
erp (contain all erp analyses and individual event files with all trials)
avg
images
stats
html (for reports)
images
raw (initial raw epoch_data.mat or .eeg data)
tf (all timefrequency analyses – freq. decompositions of all trials)
<freq_band> (example: alpha, high_gamma )
avg
images
stats
Study wide variables – <STUDY_NAME>_constants.m
Function list:
btq_iEEG_NF_step0_combine_rej_dat.m | combines 2 reject_data.mat files, for example, I run summary rejections looking at variance, and also absmax. This function combines them into a single reject_data.mat file |
btq_iEEG_NF_step0_eeg2epoch.m | converts .eeg file to epoch_data.mat file. also recodes according to oldEC / newEC |
btq_iEEG_NF_step0_prerej_downsample.m | don’t use, downsample and reduce in timesurfer if possible |
btq_iEEG_NF_step0_visual_rejection.m | timesurfer? |
btq_iEEG_NF_step1.m | |
btq_iEEG_NF_step1point5.m | |
btq_iEEG_NF_step2a.m | |
btq_iEEG_NF_step2aS.m | |
btq_iEEG_NF_step2b.m | |
btq_iEEG_NF_step3a.m | |
btq_iEEG_NF_step3a_alpha01.m | |
btq_iEEG_NF_step3a_within.m | |
btq_iEEG_NF_step3b.m | |
btq_iEEG_NF_step3b_noblc.m | |
btq_iEEG_NF_step3b_orig.m | |
btq_iEEG_NF_step4b.m | |
btq_iEEG_NF_step4bS.m | |
btq_iEEG_NF_step4bTF.m | |
btq_iEEG_NF_step4b_noblc.m | |
btq_iEEG_NF_step4b_orig.m | |
btq_iEEG_NF_step5b.m | |
btq_iEEG_NF_step5b_new.m | |
btq_iEEG_NF_step5b_noblc.m | |
btq_iEEG_NF_step5b_orig.m | |
btq_iEEG_NF_step5b_test.m | |
btq_iEEG_NF_step9a.m |