Preprocessed Resting state EEG dataset

💬 Support & Discussions
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1

Hey MNE community,

I wanted to know if new datasets would be integrated into MNE? To my knowledge, there is no multi-subject dataset of resting state EEG already preprocessed available in MNE.
This would also be useful for writing tutorials, or at workshops where it is often difficult to share data.

I was thinking of the LEMON dataset (A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults | Scientific Data) available through HTTP and FTP (Index of /pub/misc/MPI-Leipzig_Mind-Brain-Body-LEMON/EEG_MPILMBB_LEMON/) which integrates raw EEG files, but also their pre-processed versions (and also MRIs) for the two conditions: eyes open and eyes closed

Best,
Victor

2

Hello, new snippets of datasets are highly welcome as long as their usage is demonstrated in a tutorial. Are you planning to add a new tutorial?

3

@dengemann has some experience on this LEMON dataset.

a tutorial would be welcome. It needs a dataset fetcher and some narrative.

Alex

4

The idea would be to write a tutorial about group level analysis, such as relative alpha power difference between eyes opened and eyes closed conditions using preprocessed EEG data. The main points would be to plot a boxplot of relative alpha power in both conditions. If me want to go further, we could also add statistical test (maybe out of the scope) and/or try to predict the condition using some sklearn classifiers
Of course, other suggestions are welcome.
I would be happy to write the tutorial, however I’m not sure I’ll be able to handle the fetcher myself

5

for group studies we have some constraints. We build all our documentation on circleci automatically
and we cannot use huge datasets on such a free service. How much data would you need for the
tutorial?

Also if the data is available in BIDS maybe
it could be a good candidate for https://github.com/mne-tools/mne-bids-pipeline

Alex

1 Like
6

Hi,
I would be very interested by such tutorial. Do you already have info to share with us?
Cheers,
Fred