Mne bids pipeline: Difference between revisions
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cp -R /vf/users/MEGmodules/modules/bids_example_data_airpuff.tar ${YOUR_FOLDER_PATH} |
cp -R /vf/users/MEGmodules/modules/bids_example_data_airpuff.tar ${YOUR_FOLDER_PATH} |
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tar -xvf bids_example_data_airpuff.tar |
tar -xvf bids_example_data_airpuff.tar |
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#Add the bids_root to your config file |
#Add the bids_root to your config file |
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echo bids_root=${YOUR_FOLDER_PATH}/bids_example_data_airpuff >> ${YOUR_FOLDER_PATH}/bids_example_data_airpuff/config.py |
echo bids_root=${YOUR_FOLDER_PATH}/bids_example_data_airpuff >> ${YOUR_FOLDER_PATH}/bids_example_data_airpuff/config.py |
Revision as of 13:27, 3 May 2022
Skip Background
Intro
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.
BIDS (formal specs) >> MNE_BIDS (python neurophysiological BIDS) >> MNE_BIDS_PIPELINE (structured processing in MNE python according to BIDS definition)
BIDS website
https://bids-specification.readthedocs.io/en/stable/
MNE Bids
MNE bids is a python tool to make and access neurophysiological data. This tool is a branch of the MNE tools for neurophysiological analysis.
MNE Bids website
https://mne.tools/mne-bids/stable/index.html
MNE bids pipeline background
Mne bids pipeline website:
https://mne.tools/mne-bids-pipeline/
Full example:
https://mne.tools/mne-bids-pipeline/examples/ds000248.html
Processing
All processing is defined in the config.py file. This has hundreds of options to define the processing.
Here are some of the typical options: https://mne.tools/mne-bids-pipeline/settings/general.html
Here is the full list of options:
https://github.com/mne-tools/mne-bids-pipeline/blob/main/config.py
Example Config (copy into a config.py text file and use)
Modify for use with your data - at a minimum: bids_root, conditions
study_name = 'TESTSTudy' bids_root = 'YOUR_BIDS_DIR' #<< Modify l_freq = 1.0 h_freq = 100. epochs_tmin = -0.1 epochs_tmax = 0.2 baseline = (-0.1, 0.0) resample = 300.0 ch_types = ['meg'] conditions = ['stim'] #<< list of conditions N_JOBS=4
Use on biowulf
Start interactive session with scratch to render visualization offscreen
sinteractive --mem=6G --cpus-per-task=4 --gres=lscratch:50
Create BIDS data from data off the scanner
module load mne_scripts make_meg_bids.py -meg_input_dir MEGFOLDER -mri_brik AFNI_COREGED+orig.BRIK
Process data using MNE Bids Pipeline
module purge module load mne_bids_pipeline mne-bids-pipeline-run.py --config=CONFIG.py ##Optional --steps=preprocessing,source --subject=SUBJECTID(without sub-)
TEST DATA for biowulf
cp -R /vf/users/MEGmodules/modules/bids_example_data_airpuff.tar ${YOUR_FOLDER_PATH} tar -xvf bids_example_data_airpuff.tar #Add the bids_root to your config file echo bids_root=${YOUR_FOLDER_PATH}/bids_example_data_airpuff >> ${YOUR_FOLDER_PATH}/bids_example_data_airpuff/config.py
module load mne_bids_pipeline mne_bids_pipeline --config=${YOUR_FOLDER_PATH}/bids_example_data_airpuff/config.py