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<p class=MsoNormal>Dear Experts,<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>I’m quite new to the time-frequency analysis in EEGLAB
(and time-frequency analysis in general). I would like to take a look at raw
EEG power, using FFT at the Pz in 5 time windows in between 256ms before till
1024ms after the time locked event. I wanted 4Hz frequency bands in between 2Hz
and 38Hz. In order to do so I used the following command:<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>pop_newtimef(EEG, 1, 45, [-381 1149], [0],
‘timesout’, [5], ‘freqs’, [2 38],
‘nfreqs’, 9, ‘baseline’, NaN, ‘plotitc’,
‘off’);<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>Please note the outcome: <a
href="http://i.imgur.com/7t89n.png">http://i.imgur.com/7t89n.png</a><o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>Besides the general question if I’m using the
appropriate commands I was also wondering if I was right in worrying that the
power values are still compared to a certain baseline, since most microvolt
values are negative?<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>(minor question) Also, I was wondering how to calculate
power values for non-overlapping time windows, since I assume the time windows
now use 125ms extra information at each side. Would it help if I apply another
windowing method than Hanning windowing, or is this not possible?<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>Thanks in advance,<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>Best,<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>Senne<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
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