Yes, Agatha -- The 'rmerp' flag does rm the erp from each epoch ('rm' is unix for 'remove' because original unix development occurred in the days before proper terminal keyboards were developed -- programmers used teletype machine keyboards that required lots of force and travel to type a lettter -- hence common unix commands were shortened to 2 letters each). <br>
<br>Note that this ERP removal may not be a good idea: The ERP potential sequence or phase perturbation sequence (when viewed from another mathematical angle) may have different strengths n each trial -- and moreover, this may be true separately for each constituent independent source ERP peak contribution or peak complex contribution! <br>
<br>A better way, therefore, to remove the effects of the processes contributing to the channel ERP waveforms might be, for each contributing ICA component process, to regress out the ERP sequence from each trial, then sum the resulting no-ERP trials to verify the ERP has been removed, and then use the no-ERP trials in the time/frequency analysis. (I do not now recall that 'rmerp' does that...). Otherwise, removing the one-size-in-all-trials mean ERP from each trial will essentially add the -ERP to some trials and leave part of the ERP in others...<br>
<br>But then also -- the latencies of the peak and peak-complex contributions may also vary on each trial. Therefore, still more robust no-ERP component epochs would require regression out at an appropriate lag for each contributing component process -- and for epochs in which the ERP sequence is 'hidden' under other ongoing component process activity, this might have no best solution ...<br>
<br>Finally, there is no guarantee that the brain or individual independent source processes respond to each event classified as 'identical' with the same ERP sequence in every trial -- this is an assumption underlying use of the ERP in the first place. Julie Onton and I found in our 2005 paper that frontal midline theta-producing independent component processes during the learning phase of trials in a modified Sternberg working memory task sometimes produced a train of (5-6 Hz) theta activity and sometimes a burst of (14-15 Hz) beta activity. The EEG response to events largely reflects their implications re an expectancy model our brains are continuously 'computing' (to use a current metaphor)... Thus, the response evoked/induced by an event depends crucially as well on the subject brain's current expectancy as well on the stimulus characteristics... (e.g., 'targets' in a given task should <i>not</i> be expected to be followed by the same EEG response).<br>
<br>There is no reason to believe that brain processes shaping the ERP measure sequence are in any way independent of the processes shaping the whole EEG including the mean spectral power shifts measured by the ERSP.... That is -- there may be no physiologically meaningful distinction between 'evoked' and 'induced' activity -- certainly just using those terms does not make it so !<br>
<br>Scott Makeig<br><br><div class="gmail_quote">On Mon, Jan 30, 2012 at 5:05 PM, Agatha Lenartowicz <span dir="ltr"><<a href="mailto:alenarto@ucla.edu">alenarto@ucla.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
Hi all - I'd like to verify that the 'rmerp' option in newtimef.m is the appropriate tool to calculate 'induced' rather than 'evoked' (ERP related) ERSPs. The help for this flag stats "Remove epoch mean from data epochs" - which is a little vague. I assume that the epoch mean is comparable to the ERP.<br>
<br>
Is this correct?<br>
Many thanks ~<br>
Agatha<br>
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</blockquote></div><br><br clear="all"><br>-- <br>Scott Makeig, Research Scientist and Director, Swartz Center for Computational Neuroscience, Institute for Neural Computation; Prof. of Neurosciences (Adj.), University of California San Diego, La Jolla CA 92093-0559, <a href="http://sccn.ucsd.edu/%7Escott" target="_blank">http://sccn.ucsd.edu/~scott</a><br>