[Eeglablist] Plot study ERSP significantly different from baseline

Makoto Miyakoshi mmiyakoshi at ucsd.edu
Fri Jan 8 15:49:11 PST 2016


Dear Nikola,

Sorry I did not understand the question very well. I thought that I would
compute statistics from the baseline period data and use the 1 percentile
value to threshold the after-baseline period for each frequency...

Makoto

On Sat, Jan 2, 2016 at 9:53 AM, Nikola Vukovic <vukovicnikola at gmail.com>
wrote:

> Happy New Year to everyone on the list!
> Is it too early to start doing analyses again? :)
>
> I would like to know if there's a way to use the command line to plot a
> figure showing only ERSP values significantly different from a baseline.
> For example, I would like to define the time period from 0 to 1000ms in a
> trial as the baseline period, and then see which ERSP values in the
> 1000-8000ms period differ significantly from this baseline.
>
> So far, I have only been able to mask values significantly different from
> 0, like so:
>
> 1. I plot a STUDY condition using std_erspplot, and save the
> erspdata/times/freqs output.
> 2. I compare this erspdata object with an identically sized object with
> zeroed-out values, using std_stat.
> 3. I use the pvals object to zero-out those ersp values which are > 0.05,
> and then plot this ersp data.
>
> This procedure works nicely to compare time-frequency points to 0, but not
> for masking with respect to a custom defined baseline period.
>
> Does anyone know how this could be done?
>
> Many thanks!
> Nikola
> _______________________________________________
> 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
>



-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://sccn.ucsd.edu/pipermail/eeglablist/attachments/20160108/bd884ceb/attachment.html>


More information about the eeglablist mailing list