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jessicasamogin edited this page Oct 18, 2023
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:: USER GUIDE ::
NET is an open-source MATLAB software for large-scale analysis of high-density electroencephalographic (hdEEG) data, from raw signals to activity and/or connectivity values.
NET requires MATLAB 2016b (MathWorks, download here) or later versions.
You can download the latest version of NET from Github (here).
** !! NOTE: download the folders stored here and save them in the net repository. A test dataset can be found at the same link **
There are two option to run NET:
- through the graphical-user interface (GUI) > open MATLAB and run
net_start_gui.m
- through the main script > open MATLAB and run
net_start_no_gui.m
You don't need to add NET to the path, the software will do it automatically.
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- choose the processing directory, where NET will save the output of the analyses
- add the raw EEG, MRI and electrode positions files with the Load Datasets button
- set the preprocessing parameters (conversion, head model, signal processing and source localization) with the View/Edit Prepro Parameters button
- choose how to run the pipeline:
- Sample Dataset > one step at a time on the chosen dataset
- All Datasets > one step on all datasets together
- All Datasets & Steps > each dataset is fully processed before automatically proceeding to the next one
The outputs at individual and/or group level can be visualized through the visualization pane at the bottom.
NOTES:
- NET automatically copies two excel files in the processing folder: *_dataset.xlsx (list of input filenames) and *_parameters_prepro.xls (preprocessing parameters)
- to perform activity, connectivity and statistical analysis, select Load Analysis Parameters and choose the template_parameters_analysis.xlsx file from the net/template_files folder. NET will copy it in the processing directory (*_parameters_analysis.xls)
- for every dataset, NET creates a subdirectory containing three folders:
- eeg_signal > processed channel data, ERP and ERS/ERD results at channel level
- eeg_source > source reconstructed EEG data, ERP and ERS/ERD results at cortical level and connectivity results
- mr_data > all the files related to the head model
- copy the template_dataset.xlsx, template_parameters_prepro.xlsx and template_parameters_analysis.xlsx files from net/template_files folder to net/net_results
- fill in the Excel files with the information about the datasets and set to "on" or "off" the steps that you want to execute
- run
net_start_no_gui.m
NOTES:
- for every dataset, NET creates a subdirectory containing three folders:
- eeg_signal > processed channel data, ERP and ERS/ERD results at channel level
- eeg_source > source reconstructed EEG data, ERP and ERS/ERD results at cortical level and connectivity results
- mr_data > all the files related to the head model
- it is possible to visualize the results of the process with the GUI:
- run
net_start_gui.m
- select net_results as processing directory
- from the Visualizations pane, choose which dataset/group results to visualize
- run