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Guiomar Niso
Franco Pestilli
Soichi Hayasi
Giulia Berto
Discussion on MEG and EEG input formats
EEG datatype in Brainlife: https://brainlife.io/datatype/5ddf1381936ca39318c5f045
MEG datatype in Brainlife: https://brainlife.io/datatype/5dcecaffc4ae284155298383 (everything is marked “optional” because we can’t predict if a .fif file or a .ctf file will be used, but a datatype tag “fif” or “ctf” is added in addition to the datatype MEG)
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Comment fromGEORGE Nathalie: please also consider the hdf5 format as possible format (https://fr.wikipedia.org/wiki/Hierarchical_Data_Format;https://www.neonscience.org/resources/learning-hub/tutorials/about-hdf5), it is already in Brainstorm (to check).
Outputs of Apps
What datatypes? If the code is in Matlab or Python, the datatype may change (to be discussed during another meeting).
Questions for next meetings
for datatype meeting
in https://brainlife.io/datatype/6000737faacf9ee51fa691cb, do we add calibration files such as a
fine_calibration_file.dat
and acrosstalk_compensation_file.fif
? These files are used in the function mne.preprocessing.maxwell_filter and in mne.preprocessing.find_bad_channels_maxwell.
for meeting with Alex
How much does MNE rely on the fif file format. Does it make sense to have data readers in all formats, and handle everything in fif internally? Is there a special case for the ctf .ds format? Question asked to Richard Höchenberger: MNE relies on .fif internally.
Head position alignment: before, after, independently of Maxfilter?
Discussion with Aina Puce following this meeting
Question of creating “data types” for different “data formats” (vendors) and different “types of data” (EEG, MEG, EOG… covariance matrix, calibration file, position file, freesurfer segmentation…)
Suggested “philosophy”:
Several import datatypes depending on vendors convert to toolbox-specific (MNE for now) dataformat
Processing datatypes with specific required files for each processing task
Several export datatypes
A link to discussion on dataformat issues in BIDS working group: https://github.com/bids-standard/bep021/issues/1
Note |
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MNE can handle multimodal data containing different channel types (magnetometers, gradiometers, EEG, EOG, …), but sometimes we have to rename the channels before analysis. For instance, in Jas et al., 2018, the EEG061 and EEG062 electrodes were set as EOG, EEG063 was set as ECG. If this step is omitted, some preprocessing functions may fall back to potentially less optimal defaults, for example, using the average of the magnetometers instead of the ECG channel when searching for cardiac events. |