<div dir="ltr">Dear Rich,<div><br></div>> I've done the tutorial and reviewed hundreds of Eeglablist entries.<div><br></div><div>I appreciate you took effort to be prepared.</div><div><br></div><div>> What a wonderfully supportive community.<div><br></div><div>I agree. Jerry Swartz will be happy to hear that!</div><div><br></div>> How should I organized the data files for import? Right now I have one data file for each subject. Should I divvy into 120 separate files (8 subjects x 15 data blocks) with each block uniquely named and import them separately?<div><br></div><div>As long as you have event markers that indicate onsets and offsets of each 'data blocks' (which is called epochs which means trials), you don't need to chop it into the pieces. Just process as they are continuous, and epoch them into the same shorter length right before final averaging etc.<br><br>> As to artifact cleaning, two questions - 1) If I reject artifacts by eye, wouldn't that lead to data blocks of different lengths and so complicate analysis?</div><div><br></div><div>Yes, it changes the number of epohcs==trials across conditions and subjects. But usually the differences in number of epochs==trials does not matter since people only use one average value per subject (statistically speaking, this could be arguable though.)</div><div><br></div><div>> 2) Or should I use one of the automated methods available via EEGLAB extensions (eg, clean_rawdata, PREPPipeline, ADJUST, AAR) and if so, which do you recommend?<br><br>clean_rawdata() is recommended. Also, there is a wiki page describing all the tips about preprocessings.</div><div><a href="https://sccn.ucsd.edu/wiki/Makoto's_preprocessing_pipeline">https://sccn.ucsd.edu/wiki/Makoto's_preprocessing_pipeline</a><br><br><div>Makoto</div><div><br></div><div><br></div><div><div><br><div><div class="gmail_extra"><div class="gmail_quote">On Wed, Sep 21, 2016 at 12:15 PM, Ingram, Richard E - ingramre <span dir="ltr"><<a href="mailto:ingramre@jmu.edu" target="_blank">ingramre@jmu.edu</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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<div dir="ltr">Greetings EEGLAB community, </div>
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<div dir="ltr">I'm an EEGLAB newbie. I've done the tutorial and reviewed hundreds of Eeglablist entries. What a wonderfully supportive community. I wonder if you might have a few tips on how best to approach analyzing data from an exploratory study?</div>
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<div dir="ltr">I have 8 subjects, each of whom has 15 30-second time blocks of continuous EEG data (sampled at 128 Hz from 14 channels) reflecting differences in task difficulty (3 levels) and task condition (3 conditions). I wrote software that handles the
stimuli display and enters markers (generated by mouseclick) into the datastream . For this first look, I'm more interested in characterizing the continuous data than event-locked data (although I would like to come back to event-locked data later).</div>
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<div dir="ltr">How should I organized the data files for import? Right now I have one data file for each subject. Should I divvy into 120 separate files (8 subjects x 15 data blocks) with each block uniquely named and import them separately?</div>
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<div dir="ltr">As to artifact cleaning, two questions - 1) If I reject artifacts by eye, wouldn't that lead to data blocks of different lengths and so complicate analysis? 2) Or should I use one of the automated methods available via EEGLAB extensions (eg,
clean_rawdata, PREPPipeline, ADJUST, AAR) and if so, which do you recommend?</div>
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<div dir="ltr">I know these questions may be simplistic but I do appreciate any and all guidance you may provide.</div>
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<div dir="ltr">Rich</div>
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