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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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