correct reref, run ICA, label ICs

README.md

@@ -1,7 +1,63 @@
-# Project <insert name>
+# **EEG Preprocessing**
 
-## Dataset structure
+Steps 1-4 create filters (e.g., from the ICA, segment labeling), which later get applied to the raw data starting in step 5.
 
-- All inputs (i.e. building blocks from other sources) are located in
-  `inputs/`.
-- All custom code is located in `code/`.
+All steps use FieldTrip and were executed within MATLAB 2020a.
+
+Deviations from the standard pipeline:
+- no ECG available, whcih would normally guide heart component labeling
+
+---
+
+### **01_prepare_preprocessing**
+-	Prepare for ICA
+-	Read into FieldTrip format
+-	Switch channels
+-	EEG settings:
+o	Referenced to avg. mastoid (A1, A2)
+o	downsample: 1000Hz to 250 Hz
+o	4th order Butterworth 1-100 Hz BPF
+o	no reref for ECG
+
+### **02_visual_inspection**
+-	Check for gross noise periods that should not be considered for ICA
+
+### **03_ica**
+-	Conduct initial ICA1, this should be run on tardis
+
+### **04_ica_labeling**
+-	Manual labeling of artefactual ICA components
+
+### **05_segmentation_raw_data**
+-	Segmentation: -1500 ms relative to fixcue onset to 1500 ms after ITI onset
+-	Load raw data
+-	Switch channels
+-	EEG settings: 
+o	Referenced to avg. mastoid (A1, A2)
+o	0.2 4th order butterworth HPF
+o	125 4th order butterworth LPF
+o	demean
+o	recover implicit reference: A2
+o	downsample: 1000Hz to 500 Hz
+
+### **06_automatic_artifact_correction**
+-	Automatic artifact correction, interpolation
+-	Remove blink, move, heart, ref, art & emg ICA components prior to calculation
+-	get artifact contaminated channels by kurtosis, low & high frequency artifacts
+-	get artifact contaminated channels by FASTER
+-	interpolate artifact contaminated channels
+-	equalize duration of trials to the trial with fewest samples
+o	This is a hack. Apparently, we did not always get consistent timing on each trial, such that some trials were a bit shorter. To include these trials, I cut every trial to the lowest trial length.
+o	Interpolation to a general length may be the better option.
+-	get artifact contaminated epochs & exclude epochs recursively
+-	get channel x epoch artifacts
+-	Note that this does NOT yet remove anything. We only calculate the data to be removed in the next setp (I).
+
+### **07_prep_data_for_analysis**
+-	Remove blink, move, heart, ref, art & emg ICA components
+-	Interpolate detected artifact channels
+-	Remove artifact-heavy trials, for subjects with missing onsets, the missing trials are included here as ‘artefactual trials’, hence correcting the EEG-behavior assignment:
+
+### **08_assignConditionsToData**
+-	Remove additional channels
+-	Load behavioral data and add information to data

code/README.md

@@ -1,63 +0,0 @@
-# **EEG Preprocessing**
-
-Steps 1-4 create filters (e.g., from the ICA, segment labeling), which later get applied to the raw data starting in step 5.
-
-All steps use FieldTrip and were executed within MATLAB 2020a.
-
-Deviations from the standard pipeline:
-- no ECG available, whcih would normally guide heart component labeling
-
----
-
-### **01_prepare_preprocessing**
--	Prepare for ICA
--	Read into FieldTrip format
--	Switch channels
--	EEG settings:
-o	Referenced to avg. mastoid (A1, A2)
-o	downsample: 1000Hz to 250 Hz
-o	4th order Butterworth 1-100 Hz BPF
-o	no reref for ECG
-
-### **02_visual_inspection**
--	Check for gross noise periods that should not be considered for ICA
-
-### **03_ica**
--	Conduct initial ICA1, this should be run on tardis
-
-### **04_ica_labeling**
--	Manual labeling of artefactual ICA components
-
-### **05_segmentation_raw_data**
--	Segmentation: -1500 ms relative to fixcue onset to 1500 ms after ITI onset
--	Load raw data
--	Switch channels
--	EEG settings: 
-o	Referenced to avg. mastoid (A1, A2)
-o	0.2 4th order butterworth HPF
-o	125 4th order butterworth LPF
-o	demean
-o	recover implicit reference: A2
-o	downsample: 1000Hz to 500 Hz
-
-### **06_automatic_artifact_correction**
--	Automatic artifact correction, interpolation
--	Remove blink, move, heart, ref, art & emg ICA components prior to calculation
--	get artifact contaminated channels by kurtosis, low & high frequency artifacts
--	get artifact contaminated channels by FASTER
--	interpolate artifact contaminated channels
--	equalize duration of trials to the trial with fewest samples
-o	This is a hack. Apparently, we did not always get consistent timing on each trial, such that some trials were a bit shorter. To include these trials, I cut every trial to the lowest trial length.
-o	Interpolation to a general length may be the better option.
--	get artifact contaminated epochs & exclude epochs recursively
--	get channel x epoch artifacts
--	Note that this does NOT yet remove anything. We only calculate the data to be removed in the next setp (I).
-
-### **07_prep_data_for_analysis**
--	Remove blink, move, heart, ref, art & emg ICA components
--	Interpolate detected artifact channels
--	Remove artifact-heavy trials, for subjects with missing onsets, the missing trials are included here as ‘artefactual trials’, hence correcting the EEG-behavior assignment:
-
-### **08_assignConditionsToData**
--	Remove additional channels
--	Load behavioral data and add information to data

code/a1_prepare_preprocessing.m

@@ -1,100 +0,0 @@
-%% 01_prepare_preprocessing
-
-% prepare (i.e. filter + downsample data) for ICA1
-
-%% initialize
-
-restoredefaultpath;
-clear all; close all; pack; clc;
-
-%% pathdef
-
-currentFile = mfilename('fullpath');
-[pathstr,~,~] = fileparts( currentFile );
-cd(pathstr)
-
-% inputs
-pn.eeg_BIDS = fullfile('..', 'data', 'inputs', 'rawdata', 'eeg_BIDS');
-pn.channel_locations = fullfile('..', 'data', 'inputs', 'rawdata', 'channel_locations');
-pn.events = fullfile('..', 'data', 'inputs', 'rawdata', 'events');
-% outputs
-pn.eeg_ft = fullfile('..', 'data', 'outputs', 'eeg'); if ~exist(pn.eeg_ft); mkdir(pn.eeg_ft); end
-pn.history = fullfile('..', 'data', 'outputs', 'history'); if ~exist(pn.history); mkdir(pn.history); end
-
-% add fieldtrip toolbox
-addpath(fullfile('..', 'tools', 'fieldtrip')); ft_defaults;
-
-%% define IDs for preprocessing
-
-% N = 33
-IDs = tdfread(fullfile(pn.eeg_BIDS, 'participants.tsv'));
-IDs = cellstr(IDs.participant_id);
-
-for id = 1:length(IDs)
-
-if ~exist(fullfile(pn.eeg_ft, [IDs{id}, '_task-xxxx_eeg_raw.mat']),'file')
-    
-    % load data
-    cfg_preproc           = [];
-    cfg_preproc.datafile  = ...
-        fullfile(pn.eeg_BIDS, IDs{id}, 'eeg', [IDs{id}, '_task-xxxx_eeg.eeg']);
-
-    % load header & event information
-    config              = ft_read_header(cfg_preproc.datafile);
-    config.data_file    = cfg_preproc.datafile;
-    config.mrk          = ft_read_event(cfg_preproc.datafile);
-
-    % define reading & preprocessing parameters
-    cfg_preproc.channel     = {'all'};
-    cfg_preproc.implicitref = 'REF'; % recover implicit reference
-
-    % get all data first, then apply specific steps only for subsets
-    data_eeg = ft_preprocessing(cfg_preproc);
-
-    %% preprocessing
-
-    cfg_preproc               = [];                                 
-    cfg_preproc.channel       = {'all'};
-
-    cfg_preproc.continuous  = 'yes';
-    cfg_preproc.demean      = 'yes';
-
-    cfg_preproc.reref       = 'yes';
-    cfg_preproc.refchannel  = {'M1', 'M2'};
-    cfg_preproc.implicitref = 'A2';
-
-    cfg_preproc.hpfilter    = 'yes';
-    cfg_preproc.hpfreq      = 1;
-    cfg_preproc.hpfiltord   = 4;
-    cfg_preproc.hpfilttype  = 'but';
-
-    cfg_preproc.lpfilter    = 'yes';
-    cfg_preproc.lpfreq      = 100;
-    cfg_preproc.lpfiltord   = 4;
-    cfg_preproc.lpfilttype  = 'but';
-
-    data_eeg = ft_preprocessing(cfg_preproc, data_eeg);
-    
-    % define settings for resampling
-    cfg_resample.resamplefs = 250;
-    cfg_resample.detrend    = 'no';
-    cfg_resample.feedback   = 'no';
-    cfg_resample.trials     = 'all';
-
-    data_eeg = ft_resampledata(cfg_resample,data_eeg);
-    
-    % change data precision to single
-    for t = 1:length(data_eeg.trial)
-        data_eeg.trial{t} = single(data_eeg.trial{t});
-    end; clear t
-
-    %% save outputs
-
-    save(fullfile(pn.eeg_ft, [IDs{id}, '_task-xxxx_eeg_raw.mat']),'data_eeg');
-    % save config
-    save(fullfile(pn.history, [IDs{id}, '_task-xxxx_config.mat']),'config');
-    % clear variables
-    clear cfg_* config data_eeg
-    
-end
-end; clear id;

code/a1_prepare_preprocessing/a1_prepare_preprocessing.m

@@ -0,0 +1,99 @@
+function a1_prepare_preprocessing(id, rootpath)
+
+% prepare (i.e. filter + downsample data) for ICA1
+
+if ismac % run if function is not pre-compiled
+    id = '1'; % test for example subject
+    currentFile = mfilename('fullpath');
+    [pathstr,~,~] = fileparts(currentFile);
+    cd(fullfile(pathstr,'..', '..'))
+    rootpath = pwd;
+end
+
+% inputs
+pn.eeg_BIDS = fullfile(rootpath, 'data', 'inputs', 'rawdata', 'eeg_BIDS');
+pn.channel_locations = fullfile(rootpath, 'data', 'inputs', 'rawdata', 'channel_locations');
+pn.events = fullfile(rootpath, 'data', 'inputs', 'rawdata', 'events');
+pn.tools = fullfile(rootpath, 'tools');
+% outputs
+pn.eeg_ft = fullfile(rootpath, 'data', 'outputs', 'eeg');
+pn.history = fullfile(rootpath, 'data', 'outputs', 'history');
+
+if ismac % run if function is not pre-compiled
+     addpath(fullfile(pn.tools, 'fieldtrip')); ft_defaults;
+     addpath(fullfile(pn.tools, 'helpers'));
+end
+
+%% define IDs for visual screening
+
+% N = 33
+IDs = tdfread(fullfile(pn.eeg_BIDS, 'participants.tsv'));
+IDs = cellstr(IDs.participant_id);
+
+id = str2num(id);
+
+% load data
+cfg_preproc           = [];
+cfg_preproc.datafile  = ...
+    fullfile(pn.eeg_BIDS, IDs{id}, 'eeg', [IDs{id}, '_task-xxxx_eeg.eeg']);
+
+% load header & event information
+config              = ft_read_header(cfg_preproc.datafile);
+config.data_file    = cfg_preproc.datafile;
+config.mrk          = ft_read_event(cfg_preproc.datafile);
+
+% define reading & preprocessing parameters
+cfg_preproc.channel     = {'all'};
+
+% get all data first, then apply specific steps only for subsets
+data_eeg = ft_preprocessing(cfg_preproc);
+
+%% preprocessing
+
+cfg_preproc               = [];                                 
+cfg_preproc.channel       = {'all'};
+
+cfg_preproc.continuous  = 'yes';
+cfg_preproc.demean      = 'yes';
+
+cfg_preproc.reref       = 'yes';
+cfg_preproc.refmethod   = 'avg';
+cfg_preproc.refchannel  = {'M1', 'M2'};
+cfg_preproc.implicitref = 'POz';
+
+cfg_preproc.hpfilter    = 'yes';
+cfg_preproc.hpfreq      = 1;
+cfg_preproc.hpfiltord   = 4;
+cfg_preproc.hpfilttype  = 'but';
+
+cfg_preproc.lpfilter    = 'yes';
+cfg_preproc.lpfreq      = 100;
+cfg_preproc.lpfiltord   = 4;
+cfg_preproc.lpfilttype  = 'but';
+
+data_eeg = ft_preprocessing(cfg_preproc, data_eeg);
+
+% define settings for resampling
+cfg_resample.resamplefs = 250;
+cfg_resample.detrend    = 'no';
+cfg_resample.feedback   = 'no';
+cfg_resample.trials     = 'all';
+
+data_eeg = ft_resampledata(cfg_resample,data_eeg);
+
+% change data precision to single
+for t = 1:length(data_eeg.trial)
+    data_eeg.trial{t} = single(data_eeg.trial{t});
+end; clear t
+
+%% save outputs
+
+save(fullfile(pn.eeg_ft, [IDs{id}, '_task-xxxx_eeg_raw.mat']),'data_eeg');
+% save config if it does not exist yet (otherwise we risk overwriting manual segs)
+if ~exist(fullfile(pn.history, [IDs{id}, '_task-xxxx_config.mat']),'file')
+    save(fullfile(pn.history, [IDs{id}, '_task-xxxx_config.mat']),'config');
+end
+% clear variables
+clear cfg_* config data_eeg
+
+end

code/a1_prepare_preprocessing/a1_prepare_preprocessing_START.sh

@@ -0,0 +1,23 @@
+#!/bin/bash
+
+mkdir ./logs
+
+rootpath="$(pwd)/../.."
+rootpath=$(builtin cd $rootpath; pwd)
+
+for subj in $(seq 1 33); do
+	# if not been performed yet
+	if [ ! -f ${rootpath}/data/outputs/eeg/sub-$(printf "%03d" ${subj})*_raw.mat ]; then
+		echo "step not performed yet for this subject"
+		echo "#!/bin/bash"                    			> job.slurm
+		echo "#SBATCH --job-name eegmp_prep_${subj}" 	>> job.slurm
+		echo "#SBATCH --cpus-per-task 4"				>> job.slurm
+		echo "#SBATCH --mem 8gb" 						>> job.slurm
+		echo "#SBATCH --time 01:00:00" 					>> job.slurm
+		echo "#SBATCH --output ./logs/eegmp_prep_${subj}.out"			>> job.slurm
+		echo "#SBATCH --workdir ." 										>> job.slurm
+		echo "./a1_prepare_preprocessing_run.sh /opt/matlab/R2016b ${subj} ${rootpath}" 	>> job.slurm
+		sbatch job.slurm
+		rm -f job.slurm
+	fi
+done

code/a1_prepare_preprocessing/a1_prepare_preprocessing_prepare.m

@@ -0,0 +1,13 @@
+function a1_prepare_preprocessing_prepare()
+
+%% add fieldtrip toolbox
+
+addpath(fullfile('..','..', 'tools', 'fieldtrip'));
+ft_defaults()
+ft_hastoolbox('JSONLAB')
+addpath(genpath(fullfile('..','..', 'tools', 'fieldtrip', 'external', 'jsonlab')))
+ft_compile_mex(true)
+
+mcc -m a1_prepare_preprocessing.m 
+
+exit

code/a1_prepare_preprocessing/a1_prepare_preprocessing_prepare.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+
+# This script prepares tardis by compiling the necessary function in MATLAB.
+
+# check [module avail matlab] and choose matlab version
+
+fun_name="a1_prepare_preprocessing"
+
+module load matlab/R2016b
+matlab -nodesktop -nosplash -r "run ${fun_name}_prepare.m"
+mv run_${fun_name}.sh ${fun_name}_run.sh

code/a1_prepare_preprocessing/a1_prepare_preprocessing_run.sh

@@ -0,0 +1,33 @@
+#!/bin/sh
+# script for execution of deployed applications
+#
+# Sets up the MATLAB Runtime environment for the current $ARCH and executes 
+# the specified command.
+#
+exe_name=$0
+exe_dir=`dirname "$0"`
+echo "------------------------------------------"
+if [ "x$1" = "x" ]; then
+  echo Usage:
+  echo    $0 \<deployedMCRroot\> args
+else
+  echo Setting up environment variables
+  MCRROOT="$1"
+  echo ---
+  LD_LIBRARY_PATH=.:${MCRROOT}/runtime/glnxa64 ;
+  LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:${MCRROOT}/bin/glnxa64 ;
+  LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:${MCRROOT}/sys/os/glnxa64;
+  LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:${MCRROOT}/sys/opengl/lib/glnxa64;
+  export LD_LIBRARY_PATH;
+  echo LD_LIBRARY_PATH is ${LD_LIBRARY_PATH};
+  shift 1
+  args=
+  while [ $# -gt 0 ]; do
+      token=$1
+      args="${args} \"${token}\"" 
+      shift
+  done
+  eval "\"${exe_dir}/a1_prepare_preprocessing\"" $args
+fi
+exit
+

code/a1_prepare_preprocessing/mccExcludedFiles.log

@@ -0,0 +1,9 @@
+The List of Excluded Files
+Excluded files	 Exclusion Message ID	 Reason For Exclusion	 Exclusion Rule
+/mnt/beegfs/software/archive/matlab/R2016b/toolbox/fuzzy/fuzzy/findcluster.m	MATLAB:depfun:req:ExcludedBy	Cannot be packaged for use in the target environment MCR. Removed from the parts list by license Compiler.	
+/mnt/beegfs/software/archive/matlab/R2016b/toolbox/local/+matlab/+internal/+toolboxes/addInstalledToolboxesToJavaPath.m	MATLAB:depfun:req:ExcludedBy	Cannot be packaged for use in the target environment MCR. Removed from the parts list by license Compiler.	/mnt/beegfs/software/archive/matlab/R2016b/toolbox/local/[+]matlab/[+]internal/[+]toolboxes/
+/mnt/beegfs/software/archive/matlab/R2016b/toolbox/local/+matlab/+internal/+toolboxes/addInstalledToolboxesToPath.m	MATLAB:depfun:req:ExcludedBy	Cannot be packaged for use in the target environment MCR. Removed from the parts list by license Compiler.	/mnt/beegfs/software/archive/matlab/R2016b/toolbox/local/[+]matlab/[+]internal/[+]toolboxes/
+/mnt/beegfs/software/archive/matlab/R2016b/toolbox/local/+matlab/+internal/+zipAddOns/addInstalledZipAddOnsToPath.m	MATLAB:depfun:req:ExcludedBy	Cannot be packaged for use in the target environment MCR. Removed from the parts list by license Compiler.	/mnt/beegfs/software/archive/matlab/R2016b/toolbox/local/[+]matlab/[+]internal/[+]zipAddOns/
+/mnt/beegfs/software/archive/matlab/R2016b/toolbox/local/pathdef.m	MATLAB:depfun:req:ExcludedBy	Cannot be packaged for use in the target environment MCR. Removed from the parts list by license Compiler.	/mnt/beegfs/software/archive/matlab/R2016b/toolbox/local/pathdef[.]m
+/mnt/beegfs/software/archive/matlab/R2016b/toolbox/matlab/codetools/@mtree/mtree.m	MATLAB:depfun:req:ExcludedBy	Cannot be packaged for use in the target environment MCR. Removed from the parts list by license Compiler.	/mnt/beegfs/software/archive/matlab/R2016b/toolbox/matlab/codetools/
+/mnt/beegfs/software/archive/matlab/R2016b/toolbox/matlab/codetools/initdesktoputils.m	MATLAB:depfun:req:ExcludedBy	Cannot be packaged for use in the target environment MCR. Removed from the parts list by license Compiler.	/mnt/beegfs/software/archive/matlab/R2016b/toolbox/matlab/codetools/

code/a1_prepare_preprocessing/readme.txt

@@ -0,0 +1,115 @@
+MATLAB Compiler
+
+1. Prerequisites for Deployment 
+
+. Verify the MATLAB Runtime is installed and ensure you    
+  have installed version 9.1 (R2016b).   
+
+. If the MATLAB Runtime is not installed, do the following:
+  (1) enter
+  
+      >>mcrinstaller
+      
+      at MATLAB prompt. The MCRINSTALLER command displays the 
+      location of the MATLAB Runtime installer.
+
+  (2) run the MATLAB Runtime installer.
+
+Or download the Linux 64-bit version of the MATLAB Runtime for R2016b 
+from the MathWorks Web site by navigating to
+
+   http://www.mathworks.com/products/compiler/mcr/index.html
+   
+   
+For more information about the MATLAB Runtime and the MATLAB Runtime installer, see 
+Package and Distribute in the MATLAB Compiler documentation  
+in the MathWorks Documentation Center.    
+
+
+2. Files to Deploy and Package
+
+Files to package for Standalone 
+================================
+-a1_prepare_preprocessing 
+-run_a1_prepare_preprocessing.sh (shell script for temporarily setting environment 
+                                  variables and executing the application)
+   -to run the shell script, type
+   
+       ./run_a1_prepare_preprocessing.sh <mcr_directory> <argument_list>
+       
+    at Linux or Mac command prompt. <mcr_directory> is the directory 
+    where version 9.1 of the MATLAB Runtime is installed or the directory where 
+    MATLAB is installed on the machine. <argument_list> is all the 
+    arguments you want to pass to your application. For example, 
+
+    If you have version 9.1 of the MATLAB Runtime installed in 
+    /mathworks/home/application/v91, run the shell script as:
+    
+       ./run_a1_prepare_preprocessing.sh /mathworks/home/application/v91
+       
+    If you have MATLAB installed in /mathworks/devel/application/matlab, 
+    run the shell script as:
+    
+       ./run_a1_prepare_preprocessing.sh /mathworks/devel/application/matlab
+-MCRInstaller.zip
+   -if end users are unable to download the MATLAB Runtime using the above  
+    link, include it when building your component by clicking 
+    the "Runtime downloaded from web" link in the Deployment Tool
+-This readme file 
+
+3. Definitions
+
+For information on deployment terminology, go to 
+http://www.mathworks.com/help. Select MATLAB Compiler >   
+Getting Started > About Application Deployment > 
+Deployment Product Terms in the MathWorks Documentation 
+Center.
+
+
+4. Appendix 
+
+A. Linux x86-64 systems:
+In the following directions, replace MCR_ROOT by the directory where the MATLAB Runtime 
+   is installed on the target machine.
+
+(1) Set the environment variable XAPPLRESDIR to this value:
+
+    MCR_ROOT/v91/X11/app-defaults
+
+
+(2) If the environment variable LD_LIBRARY_PATH is undefined, set it to the concatenation 
+   of the following strings:
+
+    MCR_ROOT/v91/runtime/glnxa64:
+    MCR_ROOT/v91/bin/glnxa64:
+    MCR_ROOT/v91/sys/os/glnxa64:
+    MCR_ROOT/v91/sys/opengl/lib/glnxa64
+
+    If it is defined, set it to the concatenation of these strings:
+
+    ${LD_LIBRARY_PATH}: 
+    MCR_ROOT/v91/runtime/glnxa64:
+    MCR_ROOT/v91/bin/glnxa64:
+    MCR_ROOT/v91/sys/os/glnxa64:
+    MCR_ROOT/v91/sys/opengl/lib/glnxa64
+
+   For more detail information about setting the MATLAB Runtime paths, see Package and 
+   Distribute in the MATLAB Compiler documentation in the MathWorks Documentation Center.
+
+
+     
+        NOTE: To make these changes persistent after logout on Linux 
+              or Mac machines, modify the .cshrc file to include this  
+              setenv command.
+        NOTE: The environment variable syntax utilizes forward 
+              slashes (/), delimited by colons (:).  
+        NOTE: When deploying standalone applications, it is possible 
+              to run the shell script file run_a1_prepare_preprocessing.sh 
+              instead of setting environment variables. See 
+              section 2 "Files to Deploy and Package".    
+
+
+
+
+
+

code/a1_prepare_preprocessing/requiredMCRProducts.txt

@@ -0,0 +1 @@
+35000	35001	35010	

code/a2_visual_inspection.m

@@ -54,7 +54,7 @@ for id = 1:length(IDs)
         cfg = config.visual_inspection;
     end
 
-    cfg.channel = {'all','-ECG', '-A2', '-REF'};
+    cfg.channel = {'all'};
 
     % inspect data
     cfg = ft_databrowser(cfg,data_eeg);

code/a3_ica/a3_ica.m

@@ -1,7 +1,7 @@
 function a3_ica(id, rootpath)
 
 if ismac % run if function is not pre-compiled
-    id = '1'; % test for first subject
+    id = '5'; % test for example subject
     currentFile = mfilename('fullpath');
     [pathstr,~,~] = fileparts(currentFile);
     cd(fullfile(pathstr,'..', '..'))
@@ -49,9 +49,9 @@ if ~exist(fullfile(pn.eeg_ft, [IDs{id}, '_task-xxxx_eeg_ica.mat']),'file')
     % load data
     load(fullfile(pn.eeg_ft, [IDs{id}, '_task-xxxx_eeg_raw.mat']),'data_eeg');
 
-    % remove implicit reference channels
+    % remove M2 (collinear with M1 due to avg. mastoid REF: mean(M1,M2)=0)
     cfg_preproc               = [];
-    cfg_preproc.channel       = {'all', '-REF', '-A2'};
+    cfg_preproc.channel       = {'all', '-M2'};
     data_eeg = ft_preprocessing(cfg_preproc, data_eeg);
     
     % adjust final length

code/a3_ica/a3_ica_START.sh

@@ -6,14 +6,18 @@ rootpath="$(pwd)/../.."
 rootpath=$(builtin cd $rootpath; pwd)
 
 for subj in $(seq 1 33); do
-	echo "#!/bin/bash"                    			> job.slurm
-	echo "#SBATCH --job-name eegmp_ica_${subj}" 	>> job.slurm
-	echo "#SBATCH --cpus-per-task 4"				>> job.slurm
-	echo "#SBATCH --mem 8gb" 						>> job.slurm
-	echo "#SBATCH --time 10:00:00" 					>> job.slurm
-	echo "#SBATCH --output ./logs/eegmp_ica_${subj}.out"			>> job.slurm
-	echo "#SBATCH --workdir ." 										>> job.slurm
-	echo "./a3_ica_run.sh /opt/matlab/R2016b ${subj} ${rootpath}" 	>> job.slurm
-	sbatch job.slurm
-	rm -f job.slurm
+	# if ica has not been performed yet
+	if [ ! -f ${rootpath}/data/outputs/eeg/sub-$(printf "%03d" ${subj})*_ica.mat ]; then
+		echo "ICA not performed yet for this subject"
+		echo "#!/bin/bash"                    			> job.slurm
+		echo "#SBATCH --job-name eegmp_ica_${subj}" 	>> job.slurm
+		echo "#SBATCH --cpus-per-task 8"				>> job.slurm
+		echo "#SBATCH --mem 8gb" 						>> job.slurm
+		echo "#SBATCH --time 24:00:00" 					>> job.slurm
+		echo "#SBATCH --output ./logs/eegmp_ica_${subj}.out"			>> job.slurm
+		echo "#SBATCH --workdir ." 										>> job.slurm
+		echo "./a3_ica_run.sh /opt/matlab/R2016b ${subj} ${rootpath}" 	>> job.slurm
+		sbatch job.slurm
+		rm -f job.slurm
+	fi
 done

code/a4_ica_labeling.m

@@ -22,7 +22,7 @@ addpath(fullfile(pn.tools, 'helpers'));
 
 %% define IDs for visual screening
 
-ID = 'sub-001';
+ID = 'sub-002';
 
 %% load data & start GUI
 

data/outputs/eeg/sub-001_task-xxxx_eeg_ica.mat

@@ -1 +1 @@
-../../../.git/annex/objects/XW/59/MD5E-s393481429--6f4e270c6acf376dca6a40dc8dffa97a.mat/MD5E-s393481429--6f4e270c6acf376dca6a40dc8dffa97a.mat
+../../../.git/annex/objects/mw/58/MD5E-s389832600--853e747be45bbc2d4e8240a9848527c7.mat/MD5E-s389832600--853e747be45bbc2d4e8240a9848527c7.mat

data/outputs/eeg/sub-001_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/Kg/6v/MD5E-s337812336--facf5c9a636e00fbf2f45472593895f5.mat/MD5E-s337812336--facf5c9a636e00fbf2f45472593895f5.mat
+../../../.git/annex/objects/qk/XK/MD5E-s333564368--7cae9447d07385b473cf1c15fba4b3fb.mat/MD5E-s333564368--7cae9447d07385b473cf1c15fba4b3fb.mat

data/outputs/eeg/sub-002_task-xxxx_eeg_ica.mat

@@ -0,0 +1 @@
+../../../.git/annex/objects/8W/gz/MD5E-s292168698--b334e8cf02a0b8eea19f47d9a6a6f389.mat/MD5E-s292168698--b334e8cf02a0b8eea19f47d9a6a6f389.mat

data/outputs/eeg/sub-002_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/0q/0j/MD5E-s244169833--68e89b51c65e7dc8cdb14a2706af9833.mat/MD5E-s244169833--68e89b51c65e7dc8cdb14a2706af9833.mat
+../../../.git/annex/objects/72/M9/MD5E-s241135375--0657ea72e70078076b464fdcac8151f0.mat/MD5E-s241135375--0657ea72e70078076b464fdcac8151f0.mat

data/outputs/eeg/sub-003_task-xxxx_eeg_ica.mat

@@ -0,0 +1 @@
+/annex/objects/MD5E-s317668636--631e09c366e3b400a0d01e9d59ac19ad.mat

data/outputs/eeg/sub-003_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/V4/P7/MD5E-s264528693--289f5a40eb5ea196757b113274b44982.mat/MD5E-s264528693--289f5a40eb5ea196757b113274b44982.mat
+../../../.git/annex/objects/v0/Gk/MD5E-s261237219--695bffe0d662afa14117f9f5e9e0a4dc.mat/MD5E-s261237219--695bffe0d662afa14117f9f5e9e0a4dc.mat

data/outputs/eeg/sub-004_task-xxxx_eeg_ica.mat

@@ -1 +1 @@
-../../../.git/annex/objects/3F/fz/MD5E-s292245091--0b905ea092a205ced6cb1f18578d34ad.mat/MD5E-s292245091--0b905ea092a205ced6cb1f18578d34ad.mat
+../../../.git/annex/objects/wm/5k/MD5E-s289808650--050a1748d8363d09bda65f83b2e4ccfe.mat/MD5E-s289808650--050a1748d8363d09bda65f83b2e4ccfe.mat

data/outputs/eeg/sub-004_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/K8/6W/MD5E-s245671983--ee5a80d6661428cb6a10de8b237bf401.mat/MD5E-s245671983--ee5a80d6661428cb6a10de8b237bf401.mat
+../../../.git/annex/objects/0M/f0/MD5E-s242588254--9438c0b4bf1f053a8a081c59f43a1145.mat/MD5E-s242588254--9438c0b4bf1f053a8a081c59f43a1145.mat

data/outputs/eeg/sub-005_task-xxxx_eeg_ica.mat

@@ -1 +1 @@
-../../../.git/annex/objects/QQ/vv/MD5E-s298642197--d9d73d7bed6853cf050fb1b55d5340f8.mat/MD5E-s298642197--d9d73d7bed6853cf050fb1b55d5340f8.mat
+../../../.git/annex/objects/Gj/Jv/MD5E-s296076521--2d5f147faa8c11ffa42d65f242e6c751.mat/MD5E-s296076521--2d5f147faa8c11ffa42d65f242e6c751.mat

data/outputs/eeg/sub-005_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/4m/w6/MD5E-s251023983--d836ce21c7bfc0155a84f271a8406a13.mat/MD5E-s251023983--d836ce21c7bfc0155a84f271a8406a13.mat
+../../../.git/annex/objects/fJ/fK/MD5E-s247864306--6878009d27b2150e620ee6cc6ed35eb6.mat/MD5E-s247864306--6878009d27b2150e620ee6cc6ed35eb6.mat

data/outputs/eeg/sub-006_task-xxxx_eeg_ica.mat

@@ -1 +1 @@
-../../../.git/annex/objects/pw/7G/MD5E-s337512432--77d95f019adcff76a48fe5e122fcbe48.mat/MD5E-s337512432--77d95f019adcff76a48fe5e122fcbe48.mat
+../../../.git/annex/objects/X5/xG/MD5E-s334638528--6c53471ef253572ef038467584e1fdea.mat/MD5E-s334638528--6c53471ef253572ef038467584e1fdea.mat

data/outputs/eeg/sub-006_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/KV/Q0/MD5E-s283881732--220cc7e5e55775df2a1f1f396cbb0d48.mat/MD5E-s283881732--220cc7e5e55775df2a1f1f396cbb0d48.mat
+../../../.git/annex/objects/m3/1q/MD5E-s280358341--bfb74aed6cfd3fbe367f565d403b6a29.mat/MD5E-s280358341--bfb74aed6cfd3fbe367f565d403b6a29.mat

data/outputs/eeg/sub-007_task-xxxx_eeg_ica.mat

@@ -1 +1 @@
-../../../.git/annex/objects/vJ/J3/MD5E-s349760395--94f02df9f51ee6e14d18811656e23fc0.mat/MD5E-s349760395--94f02df9f51ee6e14d18811656e23fc0.mat
+../../../.git/annex/objects/xX/7Z/MD5E-s346834565--74ffbb4a29a538e09addfd5661483f9b.mat/MD5E-s346834565--74ffbb4a29a538e09addfd5661483f9b.mat

data/outputs/eeg/sub-007_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/7p/48/MD5E-s286989459--957fb2fabb8e5f7cb70e76e54cd8587a.mat/MD5E-s286989459--957fb2fabb8e5f7cb70e76e54cd8587a.mat
+../../../.git/annex/objects/2X/zG/MD5E-s283451199--dd761f490b748e0ebc17dd4d1f18d023.mat/MD5E-s283451199--dd761f490b748e0ebc17dd4d1f18d023.mat

data/outputs/eeg/sub-008_task-xxxx_eeg_ica.mat

@@ -0,0 +1 @@
+/annex/objects/MD5E-s301792402--db2f4eb61ac11398862a39216213ddd9.mat

data/outputs/eeg/sub-008_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/q3/GQ/MD5E-s252335895--10ef334dcb50c742e932abff3172dc96.mat/MD5E-s252335895--10ef334dcb50c742e932abff3172dc96.mat
+../../../.git/annex/objects/f3/j2/MD5E-s249188153--f008510547d9d7dbefec460a7e83d291.mat/MD5E-s249188153--f008510547d9d7dbefec460a7e83d291.mat

data/outputs/eeg/sub-009_task-xxxx_eeg_ica.mat

@@ -1 +1 @@
-../../../.git/annex/objects/G0/mF/MD5E-s323815755--48d305865ccbedcaa2c93f5f0adce9f1.mat/MD5E-s323815755--48d305865ccbedcaa2c93f5f0adce9f1.mat
+../../../.git/annex/objects/GM/0K/MD5E-s321129376--4410156412777a1049e0c40056784a99.mat/MD5E-s321129376--4410156412777a1049e0c40056784a99.mat

data/outputs/eeg/sub-009_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/4z/5G/MD5E-s286966683--09f12a0f561361613f2ed01963800cda.mat/MD5E-s286966683--09f12a0f561361613f2ed01963800cda.mat
+../../../.git/annex/objects/7q/1Z/MD5E-s283390134--5efb09e0fdac8553cc5221be00f96f2f.mat/MD5E-s283390134--5efb09e0fdac8553cc5221be00f96f2f.mat

data/outputs/eeg/sub-010_task-xxxx_eeg_ica.mat

@@ -0,0 +1 @@
+/annex/objects/MD5E-s293034150--f7ab0fb368fc1b59d81d5ebf54ae9a00.mat

data/outputs/eeg/sub-010_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/qp/vW/MD5E-s251744457--3a2c0c271bcc2eab8d0b96dcfcf98ba2.mat/MD5E-s251744457--3a2c0c271bcc2eab8d0b96dcfcf98ba2.mat
+../../../.git/annex/objects/Gj/jW/MD5E-s248615027--8a98bd5d151814a1afd01694347e0cca.mat/MD5E-s248615027--8a98bd5d151814a1afd01694347e0cca.mat

data/outputs/eeg/sub-011_task-xxxx_eeg_ica.mat

@@ -1 +1 @@
-../../../.git/annex/objects/kX/zk/MD5E-s315636989--655b414a92413ce8b81b3836b4a761a2.mat/MD5E-s315636989--655b414a92413ce8b81b3836b4a761a2.mat
+../../../.git/annex/objects/63/wk/MD5E-s313047275--20da864a5eb9e671f2f91166b18db950.mat/MD5E-s313047275--20da864a5eb9e671f2f91166b18db950.mat

data/outputs/eeg/sub-011_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/Kk/56/MD5E-s259356739--0ee4298a571a5ab40d09045efd361291.mat/MD5E-s259356739--0ee4298a571a5ab40d09045efd361291.mat
+../../../.git/annex/objects/j5/3j/MD5E-s256126165--32e1cd7b73f2fe98c780d88e6d9804f3.mat/MD5E-s256126165--32e1cd7b73f2fe98c780d88e6d9804f3.mat

data/outputs/eeg/sub-012_task-xxxx_eeg_ica.mat

@@ -0,0 +1 @@
+/annex/objects/MD5E-s352710975--99df2db5ef5dcc6c4fec5ec8f404afc1.mat

data/outputs/eeg/sub-012_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/8X/VG/MD5E-s293141733--c52fcd56300108e284c62b54cb2275b7.mat/MD5E-s293141733--c52fcd56300108e284c62b54cb2275b7.mat
+../../../.git/annex/objects/W8/Qf/MD5E-s289485363--be9c3d2a101896ce6550a976aed1fac7.mat/MD5E-s289485363--be9c3d2a101896ce6550a976aed1fac7.mat

data/outputs/eeg/sub-013_task-xxxx_eeg_ica.mat

@@ -0,0 +1 @@
+/annex/objects/MD5E-s319353599--e40ed02125c60d0d8c0e71c735ceca42.mat

data/outputs/eeg/sub-013_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/8w/j6/MD5E-s264904591--1de99cca5f687a5cf1ef559be331f5f5.mat/MD5E-s264904591--1de99cca5f687a5cf1ef559be331f5f5.mat
+../../../.git/annex/objects/84/9Q/MD5E-s261610536--ba935c2b70f9551d7a1ef51381032437.mat/MD5E-s261610536--ba935c2b70f9551d7a1ef51381032437.mat

data/outputs/eeg/sub-014_task-xxxx_eeg_ica.mat

@@ -1 +1 @@
-../../../.git/annex/objects/GG/55/MD5E-s280009293--4d154e04d132d65693aa4b1142c29bb7.mat/MD5E-s280009293--4d154e04d132d65693aa4b1142c29bb7.mat
+../../../.git/annex/objects/07/Vq/MD5E-s277667475--c45d9de281c38fbbd8b6f16661d8269a.mat/MD5E-s277667475--c45d9de281c38fbbd8b6f16661d8269a.mat

data/outputs/eeg/sub-014_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/Gm/4P/MD5E-s234088670--a9bbf032f2cfcdf388a47ef5863ad170.mat/MD5E-s234088670--a9bbf032f2cfcdf388a47ef5863ad170.mat
+../../../.git/annex/objects/Zv/69/MD5E-s231188281--3543ac71833da915b13871bbf84b3a15.mat/MD5E-s231188281--3543ac71833da915b13871bbf84b3a15.mat

data/outputs/eeg/sub-015_task-xxxx_eeg_ica.mat

@@ -1 +1 @@
-../../../.git/annex/objects/kX/9V/MD5E-s311518547--3f28af9e305400e74c030b836adc2150.mat/MD5E-s311518547--3f28af9e305400e74c030b836adc2150.mat
+../../../.git/annex/objects/Mk/G5/MD5E-s308841661--e1679fc0222111558a1beca6d869e1ad.mat/MD5E-s308841661--e1679fc0222111558a1beca6d869e1ad.mat

data/outputs/eeg/sub-015_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/mk/27/MD5E-s259563288--8462ef8ea5f4e9e6d21d27c96b2716a3.mat/MD5E-s259563288--8462ef8ea5f4e9e6d21d27c96b2716a3.mat
+../../../.git/annex/objects/KP/GW/MD5E-s256333855--ed609c8394b0bed96b5df44cc5476b49.mat/MD5E-s256333855--ed609c8394b0bed96b5df44cc5476b49.mat

data/outputs/eeg/sub-016_task-xxxx_eeg_ica.mat

@@ -1 +1 @@
-../../../.git/annex/objects/FJ/fv/MD5E-s288681698--84a8c1c7f25c8aa247ab2a1185dc34d1.mat/MD5E-s288681698--84a8c1c7f25c8aa247ab2a1185dc34d1.mat
+../../../.git/annex/objects/2F/xz/MD5E-s286376642--a69a00a53bf20bd32acb734fcf1c3435.mat/MD5E-s286376642--a69a00a53bf20bd32acb734fcf1c3435.mat

data/outputs/eeg/sub-016_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/Gw/PQ/MD5E-s238382996--d9be493658e1ce9cad78f7a7a48df8ed.mat/MD5E-s238382996--d9be493658e1ce9cad78f7a7a48df8ed.mat
+../../../.git/annex/objects/PW/kw/MD5E-s235411078--754510a02cf9de9c9e529b9b8ac0915a.mat/MD5E-s235411078--754510a02cf9de9c9e529b9b8ac0915a.mat

data/outputs/eeg/sub-017_task-xxxx_eeg_ica.mat

@@ -1 +1 @@
-../../../.git/annex/objects/q2/x2/MD5E-s296559473--338f200228a5c9b864d3d79dcde92069.mat/MD5E-s296559473--338f200228a5c9b864d3d79dcde92069.mat
+../../../.git/annex/objects/km/5m/MD5E-s294090862--546d400e5818d510dca44385229f94fd.mat/MD5E-s294090862--546d400e5818d510dca44385229f94fd.mat

data/outputs/eeg/sub-017_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/16/21/MD5E-s256077118--f2a590e9ac74da4fcfcae9bf43d387cd.mat/MD5E-s256077118--f2a590e9ac74da4fcfcae9bf43d387cd.mat
+../../../.git/annex/objects/GX/fG/MD5E-s252906777--65d92da4bf891ddb1e178a9f5b7d3cbb.mat/MD5E-s252906777--65d92da4bf891ddb1e178a9f5b7d3cbb.mat

data/outputs/eeg/sub-018_task-xxxx_eeg_ica.mat

@@ -1 +1 @@
-../../../.git/annex/objects/Mq/x0/MD5E-s355819390--b1ecd34bf34afcc7eb778137df290508.mat/MD5E-s355819390--b1ecd34bf34afcc7eb778137df290508.mat
+../../../.git/annex/objects/5Q/pf/MD5E-s352731810--847d893910f6d58757bf6b23a8a29b72.mat/MD5E-s352731810--847d893910f6d58757bf6b23a8a29b72.mat

data/outputs/eeg/sub-018_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/0G/kP/MD5E-s297196569--5f94516e3ee86795bc9aa70c9286dc7d.mat/MD5E-s297196569--5f94516e3ee86795bc9aa70c9286dc7d.mat
+../../../.git/annex/objects/M9/24/MD5E-s293477073--cc87f261a1d33fe4c25d58e4cbd4b572.mat/MD5E-s293477073--cc87f261a1d33fe4c25d58e4cbd4b572.mat

data/outputs/eeg/sub-019_task-xxxx_eeg_ica.mat

@@ -1 +1 @@
-../../../.git/annex/objects/GQ/FM/MD5E-s369960576--09dbfb4466cfc061fb8ed6173d7b3da6.mat/MD5E-s369960576--09dbfb4466cfc061fb8ed6173d7b3da6.mat
+../../../.git/annex/objects/GX/0P/MD5E-s366844109--75943c163ac5f920f17e149f1b57c73a.mat/MD5E-s366844109--75943c163ac5f920f17e149f1b57c73a.mat

data/outputs/eeg/sub-019_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/J4/3M/MD5E-s307074479--fdaaa3778e059b02b76ec2a969ded529.mat/MD5E-s307074479--fdaaa3778e059b02b76ec2a969ded529.mat
+../../../.git/annex/objects/JG/Pm/MD5E-s303332735--d420207786eb15090d73fba99990c81f.mat/MD5E-s303332735--d420207786eb15090d73fba99990c81f.mat

data/outputs/eeg/sub-020_task-xxxx_eeg_ica.mat

@@ -1 +1 @@
-../../../.git/annex/objects/zj/9F/MD5E-s426851518--6b1ebeaeae5dee4453de051f2ebccbec.mat/MD5E-s426851518--6b1ebeaeae5dee4453de051f2ebccbec.mat
+../../../.git/annex/objects/29/2x/MD5E-s423611561--927aa1c3c5f43627e022cfd73bbd0c57.mat/MD5E-s423611561--927aa1c3c5f43627e022cfd73bbd0c57.mat

data/outputs/eeg/sub-020_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/MV/V5/MD5E-s387482388--5afad58f67764e76d6051f07fcc104ba.mat/MD5E-s387482388--5afad58f67764e76d6051f07fcc104ba.mat
+../../../.git/annex/objects/Kp/7w/MD5E-s382734896--15ac220a2e5e81b0c5ff607667d2fa3a.mat/MD5E-s382734896--15ac220a2e5e81b0c5ff607667d2fa3a.mat

data/outputs/eeg/sub-021_task-xxxx_eeg_ica.mat

@@ -1 +1 @@
-../../../.git/annex/objects/9G/0G/MD5E-s321206288--43d5a902089f4124afb24e03cce94b2d.mat/MD5E-s321206288--43d5a902089f4124afb24e03cce94b2d.mat
+../../../.git/annex/objects/6p/Xg/MD5E-s318594706--3e9b88d612933a29233807447527f374.mat/MD5E-s318594706--3e9b88d612933a29233807447527f374.mat

data/outputs/eeg/sub-021_task-xxxx_eeg_raw.mat

@@ -1 +1 @@
-../../../.git/annex/objects/v9/FZ/MD5E-s267345969--cc3b20d6a1b4acb1f31cf945f69eef2e.mat/MD5E-s267345969--cc3b20d6a1b4acb1f31cf945f69eef2e.mat
+../../../.git/annex/objects/mQ/57/MD5E-s264027600--1e30b9dc110eb982306d4dca06752eff.mat/MD5E-s264027600--1e30b9dc110eb982306d4dca06752eff.mat

data/outputs/eeg/sub-022_task-xxxx_eeg_ica.mat

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data/outputs/eeg/sub-022_task-xxxx_eeg_raw.mat

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data/outputs/eeg/sub-023_task-xxxx_eeg_ica.mat

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data/outputs/eeg/sub-023_task-xxxx_eeg_raw.mat

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data/outputs/eeg/sub-024_task-xxxx_eeg_ica.mat

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data/outputs/eeg/sub-024_task-xxxx_eeg_raw.mat

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data/outputs/eeg/sub-025_task-xxxx_eeg_ica.mat

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data/outputs/eeg/sub-025_task-xxxx_eeg_raw.mat

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data/outputs/eeg/sub-026_task-xxxx_eeg_ica.mat

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data/outputs/eeg/sub-026_task-xxxx_eeg_raw.mat

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data/outputs/eeg/sub-027_task-xxxx_eeg_ica.mat

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data/outputs/eeg/sub-027_task-xxxx_eeg_raw.mat

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data/outputs/eeg/sub-028_task-xxxx_eeg_ica.mat

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data/outputs/eeg/sub-028_task-xxxx_eeg_raw.mat

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data/outputs/eeg/sub-029_task-xxxx_eeg_ica.mat

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data/outputs/eeg/sub-029_task-xxxx_eeg_raw.mat

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data/outputs/eeg/sub-030_task-xxxx_eeg_ica.mat

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data/outputs/eeg/sub-030_task-xxxx_eeg_raw.mat

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data/outputs/eeg/sub-031_task-xxxx_eeg_ica.mat

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data/outputs/eeg/sub-031_task-xxxx_eeg_raw.mat

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data/outputs/eeg/sub-032_task-xxxx_eeg_ica.mat

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data/outputs/eeg/sub-032_task-xxxx_eeg_raw.mat

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data/outputs/eeg/sub-033_task-xxxx_eeg_ica.mat

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data/outputs/eeg/sub-033_task-xxxx_eeg_raw.mat

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data/outputs/history/log_sub-001_ica1_06-Jan-2022.txt

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data/outputs/history/log_sub-002_ica1_06-Jan-2022.txt

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data/outputs/history/log_sub-002_ica1_16-Dec-2021.txt

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data/outputs/history/log_sub-003_ica1_06-Jan-2022.txt

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data/outputs/history/log_sub-003_ica1_16-Dec-2021.txt

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data/outputs/history/log_sub-004_ica1_06-Jan-2022.txt

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data/outputs/history/log_sub-005_ica1_06-Jan-2022.txt

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data/outputs/history/log_sub-006_ica1_06-Jan-2022.txt

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data/outputs/history/log_sub-007_ica1_06-Jan-2022.txt

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data/outputs/history/log_sub-008_ica1_06-Jan-2022.txt

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data/outputs/history/log_sub-008_ica1_16-Dec-2021.txt

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data/outputs/history/log_sub-009_ica1_06-Jan-2022.txt

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data/outputs/history/log_sub-010_ica1_06-Jan-2022.txt

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data/outputs/history/log_sub-010_ica1_16-Dec-2021.txt

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data/outputs/history/log_sub-011_ica1_06-Jan-2022.txt

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data/outputs/history/log_sub-012_ica1_06-Jan-2022.txt

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data/outputs/history/log_sub-012_ica1_16-Dec-2021.txt

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data/outputs/history/log_sub-013_ica1_06-Jan-2022.txt

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