Convert epochs to raw objects and use autoreject on raw objects

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1

:question: If you have a question or issue with MNE-Python, please include the following info:

  • MNE version: e.g. 0.24.0
  • operating system: Windows 10

Hi all,

  1. How can I convert epochs back to raw continuous eeg signal.

  2. Can I apply the Autoreject function on continuous raw object? if possible, please show me how.

thanks

2

hi

  1. How can I convert epochs back to raw continuous eeg signal.

how did you obtain your epochs? do you anticipate edge artifacts by doing this?

  1. Can I apply the Autoreject function on continuous raw object? if possible, please show me how.

no you can’t

out of curiosity why do you need to do this?

Alex

3

I used the mne.make_fixed_length_epochs function to generate epochs of concatenated raw data. I applied the MNE FASTER algorithm but had some artifacts even after adjusting the epoch lengths. I was considering converting the result I had and then make a new epoch and then repeat the process.

Autoreject method seem better for the epoch data dropping much epochs so someone suggested that I could apply it on the raw data to compare the results. it raised error when I tried stating Autoreject can only be applied to mne epoch object. I asked to get a confirmation. Thank you for replying.

I have more data to clean, I would also appreciate any thought on efficient method to apply.

Note, this is my thesis data I am trying to clean before further analysis.

4

autoreject can drop epochs and even if it just interpolates some bad channels it will create artifact
on the edges if you glue them back together

I would suggest you stick to epochs. Now you can use long epochs with possible overlap

it’s what we do in the lab for rest data.

Alex

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