[Eeglablist] Rejecting/interpolating/reconstructing bad channels

[Makoto Miyakoshi]

Dear Chris,

> is there perhaps a way to use 'pop_interp' and a EEG.chanlocs file from
an initial pre-channel-deletion file in order to get at the
subject-specific channel-deletions?

'Use all channels from other dataset' and select the dataset before channel
rejection. I always do that.

Makoto

On Mon, Aug 1, 2016 at 6:26 PM, Christopher Barkley <barkl025 at umn.edu>
wrote:

> Hi Makoto and fellow list-mates,
> Pardon any ignorance on my end but I have been dealing with a particularly
> 'messy' data set (EEG was collected while subjects were heavily medicated)
> so have been tinkering with the best way to pre-process to get the data as
> clean as possible before creating STUDY. So... I basically used Makoto's
> pre-processing pipe-line as a guide, down-sampling and filtering first,
> then using 'trim-outlier' to remove (particularly) bad channels, keeping
> track of which channels I was removing for each subject. The next steps are
> where I may have gone astray: I first rejected non-sterotyped artifacts
> manually, fed the resulting (epoched) data into ICA, rejecting components
> using the ADJUST toolbox, fed the data *back *into ICA, and then manually
> rejected the resulting pruned data. The goal was to clean the data to this
> extent so that when I replaced/interpolated the removed channels the data
> would be as clean as possible before calculating average reference, the
> output of which would then also be as clean as possible. However when I try
> to interpolate in the GUI, the list of 'removed channels' does not include
> the ones that I removed, and choosing 'select from data channels'  in the
> GUI menu leads me to a list that excludes the already removed channels....
> Have I gone completely awry, or is there perhaps a way to use 'pop_interp'
> and a EEG.chanlocs file from an initial pre-channel-deletion file in order
> to get at the subject-specific channel-deletions? I know the number of
> channels will need to be consistent for STUDY creation..... Anyways, many
> apologies for the ramble, any advice will be much appreciated, all the best.
>
> Chris Barkley
> Experimental and Clinical Pharmacology
> University of Minnesota
>



-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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