[Eeglablist] Similar ICA components

[Marius Klug]

Hi Mahsa,

this may be due to your re-referencing. If you reference to the average of
all channels, you need to reduce the number of components of your ICA
decomposition by 1, since the rank of the data matrix has been reduced by
1. Depending on the specific algorithm you need to apply a flag which
should be something like 'pcakeep' or the like and then enter '31'. Make
sure to read the help texts of the function in advance! I can highly
recommend AMICA by Jason Palmer. You can install it here:
https://sccn.ucsd.edu/~jason/amica_web.html

Best of luck,
Marius

2017-10-09 20:17 GMT+02:00 mahsa shalchy <mahsa.shalchy at gmail.com>:

> Dear Experts,
>
> I collected some data using Biosemi system (32 channels) and after doing
> pre-processing steps (resampling, filtering, re-referencing), I epoched the
> data and applied ICA.
>
> My problem is that, I'm getting two similar components in my ICA results
> (IC3 and IC4).
>
> I uploaded related images here:
>
> https://www.dropbox.com/sh/etjkwjrse12lu5j/AABpJvKmKWY5n69eER1GrPGka?dl=0
>
>
> Could you please help me with this?
>
> Many thanks,
> Mahsa
>
> _______________________________________________
> Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
> To unsubscribe, send an empty email to eeglablist-unsubscribe at sccn.
> ucsd.edu
> For digest mode, send an email with the subject "set digest mime" to
> eeglablist-request at sccn.ucsd.edu
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://sccn.ucsd.edu/pipermail/eeglablist/attachments/20171012/9175ad07/attachment.html>