<div dir="ltr"><div>Dear Jumana,</div><div><br></div>> Is this long enough for ITC.<div><br></div><div>No. See this timely update of my wiki page.</div><div><br></div><div><a href="https://sccn.ucsd.edu/wiki/Makoto%27s_preprocessing_pipeline#A_tip_to_compute_time-frequency_transform_.28i.e._ERSP_.26_ITC.29_.2801.2F11.2F2017_updated.29">https://sccn.ucsd.edu/wiki/Makoto%27s_preprocessing_pipeline#A_tip_to_compute_time-frequency_transform_.28i.e._ERSP_.26_ITC.29_.2801.2F11.2F2017_updated.29</a><br></div><div><br></div><div>Therefore, you still want to use -1 to 2 second even if it create massive overlap. Your data will be 6 times heavier, and it's EEGLAB's pipeline issue: if you can compute time-frequency transform first then epoch, it does not occur. Hoewver, except for inefficiency. you can still perform a correct computation, which is good.</div><div><br></div><div>Makoto</div><div><br></div><div><br></div><div><div class="gmail_extra"><br><div class="gmail_quote">On Wed, Jan 4, 2017 at 4:03 AM, Ahmad, Jumana <span dir="ltr"><<a href="mailto:jumana.ahmad@kcl.ac.uk" target="_blank">jumana.ahmad@kcl.ac.uk</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">
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<p class="MsoNormal">Dear all,<u></u><u></u></p>
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<p class="MsoNormal">I am analysing data from a MMN oddball experiment with:<u></u><u></u></p>
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<p class="MsoNormal">Standards, 1000Hz 50ms tone; and deviant, 1000Hz, 100ms<u></u><u></u></p>
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<p class="MsoNormal">The SOA is a random 500-600ms, so includes the tones (i.e. doesn't get longer when the duration is longer). <u></u><u></u></p>
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<p class="MsoNormal">I want to calculate ERPs and ITC. What duration would you recommend for a baseline?<u></u><u></u></p>
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<p class="MsoNormal">I am trying to avoid subtracting as much experimental related activity as possible, and as I am focusing on the MMN which occurs fairly early (let’s say before 300ms), I wondered if I should subtract a -100ms baseline. Is this long enough
for ITC. Sampling rate is 1000Hz, in most of data (I have 600 datasets, and 10% used 256Hz which of course I have used different filter lengths for etc.). Ideally I would look at the P3 but my trials may not be long enough.<u></u><u></u></p>
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<p class="MsoNormal">Thank you,<u></u><u></u></p>
<p class="MsoNormal">Jumana <u></u><u></u></p>
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<p class="MsoNormal" style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;background-color:white"><b><span style="font-size:10pt;color:rgb(31,73,125)">------------------------------<wbr>------------</span></b><span style="font-family:helvetica,sans-serif;color:black"><u></u><u></u></span></p>
<p class="MsoNormal" style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;background-color:white"><b><span style="font-size:10pt;color:rgb(31,73,125);background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;background-color:rgb(255,238,148)">Jumana Ahmad</span></b><span style="font-family:helvetica,sans-serif;color:black"><u></u><u></u></span></p>
<p class="MsoNormal" style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;background-color:white"><span style="font-size:10pt;color:rgb(31,73,125)">Post-Doctoral Research Worker in Cognitive Neuroscience </span><span style="font-family:helvetica,sans-serif;color:black"><u></u><u></u></span></p>
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