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A key thing is to understand whether, on physiological grounds, there
may be an interaction between the two conditions, i.e., A alters the B
waveform (or the opposite) as seen for the long latency AER if you
closely pair auditory clicks. Is the problem a simple arithmetic
(result =A+B) or is there likely to be a strong interaction effect
between A and B? Indeed some people estimate the degree of interaction
by adding A alone and B alone signals and compare to the A+B
experiment. <br>
Good luck.<br>
<br>
Frank <a class="moz-txt-link-abbreviated" href="mailto:fhd@sover.net">fhd@sover.net</a><br>
<br>
<br>
On 8/2/2010 1:38 PM, Niko Busch wrote:
<blockquote cite="mid:201008021738.o72Hc0kb022339@post.webmailer.de"
type="cite">
<pre wrap="">Hi everyone,
I am looking for a way to remove the distortion from an ERP waveformthat is due to overlapping ERP responses to different events. I willemploy an experimental paradigm in which an experimental event A isfollowed by an event B after a variable SOA on each trial. My interestis in the ERP evoked by the Bs. However, the resulting ERP waveform -time-locked to event B - will be "contaminated" by the responses to theAs.
It seems that people use two different approaches to remove the contribution of the As:
1. Include trials with A events only and then subtract the average of A from the average of A+B.
2. A convolution approach - the ADJAR method specified in this paper:
Woldorff MG. Distortion of ERP averages due to overlap from temporallyadjacent ERPs: analysis and correction. Psychophysiology. 1993Jan;30(1):98-119.
Has anyone implemented ADJAR or something similar in Eeglab/Matlab andis willing to share the code? Any help would be very much appreciated!
Best,
Niko
</pre>
<pre wrap="">
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