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<p class=MsoNormal>Hello everyone,<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>Does anyone have advice for examining – across trial
time – power modulations in very slow frequency ranges?<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>I am interested in isolating the slow (~0.1Hz) oscillatory activity
of BOLD signal and have been experimenting with different methods. The
data are acquired at 30Hz using NIRS and I’d like to take advantage of
our high temporal resolution to dissociate the signal of interest from vascular
and other physiological artifacts in the frequency domain. My main
limitation is that the data are acquired during relatively short trials of 57s
length, so I have encountered difficulties in trying to extract power
modulation in the 0.05Hz-0.15Hz range. So far, I have tried wavelet
decomposition and bandpass filtering as different approaches but each
introduces its own artifacts. I have not yet tried multi-taper methods
since I am not as familiar with those. Any advice would be much
appreciated!<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>Thanks,<o:p></o:p></p>
<p class=MsoNormal>Allen<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal><span style='font-size:10.5pt;font-family:Consolas'>__________________________________________________________________________________</span><o:p></o:p></p>
<p class=MsoNormal>Allen Ardestani Email: <a
href="mailto:aardesta@ucla.edu">aardesta@ucla.edu</a><o:p></o:p></p>
<p class=MsoNormal>Phone: (310) 825-5528<o:p></o:p></p>
<p class=MsoNormal>Medical Scientist Training Program<o:p></o:p></p>
<p class=MsoNormal>David Geffen School of Medicine at UCLA<o:p></o:p></p>
<p class=MsoNormal>Semel Institute for Neuroscience and Human Behavior<o:p></o:p></p>
<p class=MsoNormal>760 Westwood Plaza<o:p></o:p></p>
<p class=MsoNormal>Los Angeles, CA 90095-1759<o:p></o:p></p>
<p class=MsoNormal>USA<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
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<p>----------------------------------</p>
<p>The aim of this list is to facilitate the discussion between users of the FieldTrip toolbox, to share experiences and to discuss new ideas for MEG and EEG analysis.</p>
<p> http://listserv.surfnet.nl/archives/fieldtrip.html</p>
<p> http://www.ru.nl/fcdonders/fieldtrip/</p>