[Eeglablist] ICA training at 0.1Hz- can it be done?

[Eric Fields]

I have done several studies running ICA on 0.1 Hz filtered data and got
good ICA results. Do you clean your data prior to running ICA by removing
epochs/segments with bad drift and idiosyncratic artifact? I've found this
is important especially for relatively messy subjects.

Eric

-----
Eric Fields, Ph.D.
Postdoctoral Fellow
Cognitive and Affective Neuroscience Laboratory
<https://www2.bc.edu/elizabeth-kensinger/>, Boston College
Aging, Culture, and Cognition Laboratory <http://www.brandeis.edu/gutchess/>,
Brandeis University
eric.fields at bc.edu

On Mon, Jun 11, 2018 at 5:17 AM, Ahmad, Jumana <jumana.ahmad at kcl.ac.uk>
wrote:

> Hi all,
>
> I ran ICA with either a 0.1Hz or 1Hz filter. 0.1 does not give stable
> components- multiple blinks, and fuzzy looking brain maps.
>
>
>
> However, I wanted to avoid transferring the weights from 1Hz to 0.1,
> incase the 0.1Hz, which does not get fully characterised within the
> training, subsequently gets removed when we exclude eye blinks etc.
> Although this is fairly unlikely, I did wonder if there would be an
> alternative to help my decomposition at 0.1Hz?  Something that would also
> not distort the ERP.
>
>
>
> I wondered about de-trending, but again, I am unsure how this would
> distort the ERP and I am not sure if this has been tested?
>
>
>
> Best wishes,
>
> Jumana
>
>
>
> *------------------------------------------*
>
> *Jumana Ahmad*
>
> Post-Doctoral Research Worker in Cognitive Neuroscience
>
> EU-AIMS Longitudinal European Autism Project (LEAP)
>
>
>
> Room M1.09. Department of Forensic and Neurodevelopmental Sciences (PO 23)
> | Institute of Psychiatry, Psychology & Neuroscience | King’s College
> London | 16 De Crespigny Park | London SE5 8AF
>
>
>
> *Phone:* 0207848 0260| *Email:* jumana.ahmad at kcl.ac.uk
> <antonia.sanjose at kcl.ac.uk> | *Website:* www.eu-aims.eu | *Facebook:*
> www.facebook.com/euaims
>
>
>
> _______________________________________________
> 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/20180612/73fd688f/attachment.html>