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NeuroTechX / eeg-notebooks_v0.1

Previous version of eeg-notebooks
https://neurotechx.github.io/eeg-notebooks
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[HowTo]EEG Analysis across many subjects with cross validation #20

Closed akatav closed 5 years ago

akatav commented 5 years ago

Hi, Your examples are very helpful. Especially, i am looking at this one - https://github.com/NeuroTechX/eeg-notebooks/blob/master/notebooks/SSVEP.ipynb

I am seeing that the dataset actually contains data only from 1 person (subject). I am unable to find any examples of MNE and ML analysis applied to a group of subjects and being used for classification&prediction. Can you please give an example of this? For ex, if we have resting state EEG from 10 normal and 10 MCI subjects each with n_channels * n_times (n_times is the sample points, it is different for every subject). Is it possible to fit a model and predict (by cross validation) MCI or Normal for a given individual EEG signal?

JohnGriffiths commented 5 years ago

Hi Akatav.

Thanks a lot for your interest.

Indeed you are correct - there are not currently any ML group classification / prediction examples in eeg-notebooks.

If you would like to contribute data and analysis code for such an example, that would be superb.

For more info and worked examples of these approaches in a neuroimaging context, I would recommend you check out the nilearn and mne-python libraries and associated documentation.

akatav commented 5 years ago

@JohnGriffiths oh ok, sure, i'll try. thank you v much for your kind reply.