Mne Bids Pipeline [hot] File
from mne import Report report = Report(title='MNE BIDS Pipeline Report') report.add_raw(raw_clean, title='Preprocessed Raw') report.add_epochs(epochs, title='Epochs') report.add_evokeds(evoked_face, title='Evoked Face') report.save('pipeline_report.html', overwrite=True)
The MNE-BIDS pipeline facilitates the conversion and integration of neurophysiological data (like EEG, MEG, and other types of data) into the BIDS format. This is crucial for making data FAIR (Findable, Accessible, Interoperable, and Reusable), which is a significant challenge in the field of neuroscience. mne bids pipeline
Save source estimates in BIDS derivatives using mne-bids : from mne import Report report = Report(title='MNE BIDS
print(raw)
deriv_root = bids_root / 'derivatives' / 'sensor_level' bids_path_deriv = bids_path.copy().update(root=deriv_root, suffix='ave') evoked_face.save(bids_path_deriv.fpath, overwrite=True) title='Preprocessed Raw') report.add_epochs(epochs
The pipeline involves several steps:
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