<div dir="ltr">Dear Simon,<div><br></div><div><span style="font-family:Arial">> My basic question is: what ERP/ERSP does my sound presented during sleep evoke?</span></div><div><span style="font-family:Arial"><br></span></div><div><span style="font-family:Arial">What an interesting question!</span></div><div><span style="font-family:Arial"><br></span></div><div><span style="font-family:Arial">> To compute statistics, eeglab requires two conditions. How can I perform a one-sample test against zero or the baseline?</span><br></div><div class="gmail_extra"><br></div><div class="gmail_extra">It's better to use statcond() to perform one sample T test. If you have trouble extracting data from EEGLAB data structure let us know.<br></div><div class="gmail_extra"><br></div><div class="gmail_extra">Makoto</div><div class="gmail_extra"><br><div class="gmail_quote">On Tue, Sep 15, 2015 at 1:25 AM, Simon Ruch <span dir="ltr"><<a href="mailto:simon.ruch@psy.unibe.ch" target="_blank">simon.ruch@psy.unibe.ch</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex">
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<font size="-1"><font face="Arial">Hello<br>
<br>
I would like to contrast my evoked potentials/perturbations
against the pre-stimulus baseline, respectively against zero
(for baseline corrected data). I would like to perform
significance tests that tell me where/when/at what frequencies
the signal peaks. My basic question is: what ERP/ERSP does my
sound presented during sleep evoke? To compute statistics,
eeglab requires two conditions. How can I perform a one-sample
test against zero or the baseline?<br>
<br>
My approach so far:<br>
I created a dummy dataset as zero-control condition for each
participant. In this dataset: EEG.data(:,:,:) = 0. I used these
datasets to create a repeated measures study design (stimulus
vs. zero condition) and precomputed study parameters. In the
spectral data generated for the control condition files
(*.datersp), I replaced all NaNs with zeros and set the baseline
(chanX_erspbase) to the baseline of the real data of the
respective participant. This allowed me to perform tests against
the baseline for both ERPs and ERSPs<br>
<br>
While this works fine, I was wondering if there is an easier and
more elegant approach to what I want.<br>
<br>
Kind regards<br>
Simon Ruch</font></font><br>
<div>-- <br>
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________________________________________________<br>
<br>
<b>Simon Ruch, Dr. phil.</b><br>
University of Bern<br>
Department of Psychology, Division of Experimental Psychology
and Neuropsychology<br>
Center for Cognition, Learning and Memory (CCLM)<br>
Office A 362<br>
Fabrikstrasse 8<br>
CH-3012 Bern<br>
Switzerland<br>
Phone <a href="tel:%2B41%20%280%2931%20631%2037%2029" value="+41316313729" target="_blank">+41 (0)31 631 37 29</a><br>
<a href="mailto:simon.ruch@psy.unibe.ch" target="_blank">mailto:simon.ruch@psy.unibe.ch</a><br>
<a href="http://www.apn.psy.unibe.ch/content/team/henke/" target="_blank">http://www.apn.psy.unibe.ch/content/team/henke/</a><br>
<a href="http://www.cclm.unibe.ch/" target="_blank">http://www.cclm.unibe.ch/</a>
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