[Mne_analysis] Ocular artifact correction with 21 EEG channels (+ VEOG and HEOG)

[Marijn van Vliet]

If only a small number of channels are available, it may be good to regress out the EOG instead. See:
https://github.com/mne-tools/mne-sandbox/blob/master/examples/preprocessing/plot_eog_regression.py

Marijn.

> On 4 Aug 2017, at 20:17, Dan McCloy <drmccloy at uw.edu> wrote:
> 
> You can generate SSP projectors centered around the blink events, and use those to project out the blink artifacts.  Use mne.preprocessing.create_eog_epochs and mne.compute_proj_epochs
> 
> 
> On Fri, Aug 4, 2017 at 9:53 AM, Servant Mathieu <servant.mathieu at gmail.com> wrote:
> Hello,
> 
> In our lab, we usually reject epochs that are contaminated by any artifact. I have a dataset where I would like to analyze the ERN (time-locked to the response) . Problem: participants generally blink just right after the response, and most of my epochs are contaminated by blinks. I am thus looking for an efficient artifact correction method.
> My dataset features 21 EEG channels [subset of the International 10/20 System sites: Fz,  Cz,  Pz,  F3,  F4,  C3,  C4,  P3,  P4,  PO3,  PO4,  T3,  T4,  T5,  T6,  O1,  and  O2  and  the nonstandard sites OL (halfway between O1 and T5) and OR (halfway between O2 and T6)] + VEOG (bipolar) and HEOG (bipolar)]. Given this small number of electrodes, I don't think it is appropriate to use ICA. Any suggestion? 
> 
> Mathieu
> 
> 
> 
> 
> 
> 
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