<div dir="ltr">Dear Raju,<div><br></div><div>Read Scott Makeig's papers. You'll see bunch of good ICs with spectra.</div><div><br></div><div>Makoto</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Fri, Jul 24, 2015 at 1:34 PM, seetaramaraju jampana <span dir="ltr"><<a href="mailto:seetaramaraju.jampana@gmail.com" target="_blank">seetaramaraju.jampana@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Hi Makoto,<div><br></div><div> Thank you for the reply. </div><div> Can you send me some good figures of frequency power spectrum of the IC.Also can you share the independent components of a good EEG data. </div><div><br></div><div>Thanks,</div><div>'Raju<br><div><div><br></div><div><br></div></div></div></div><div class="HOEnZb"><div class="h5"><div class="gmail_extra"><br><div class="gmail_quote">On Fri, Jul 24, 2015 at 11:46 AM, Makoto Miyakoshi <span dir="ltr"><<a href="mailto:mmiyakoshi@ucsd.edu" target="_blank">mmiyakoshi@ucsd.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Dear Raju,<div><br></div><div>Sorry to tell you this but the 21 ICs are all noise.</div><div><br></div><div>I strongly recommend you perform preprocess again. Read this page and check the steps. You may want to consider using PREP pipeline by Nima Bigdely-Shamlo (described in the wiki).</div><div><a href="http://sccn.ucsd.edu/wiki/Makoto's_preprocessing_pipeline" target="_blank">http://sccn.ucsd.edu/wiki/Makoto's_preprocessing_pipeline</a><br></div><div><br></div><div>Good ICs are determined by</div><div>1. Dipolarity of the IC scalp maps (see Delorme et al. 2012 PLoS One)</div><div>2. Frequency power spectrum of the ICs</div><div>3. ERP or ERSP (if available)</div><div>Note this kind of evaluation (or interpretaion) is dependent on the experimental paradigms.</div><div><br></div><div>Also, remember 'Garbage in, Garbege out'; if the experimental design is screwed up, you don't get EEG even if you use the fanciest preprocessing methods.</div><div><br></div><div>Makoto</div></div><div class="gmail_extra"><br><div class="gmail_quote"><div><div>On Fri, Jul 24, 2015 at 6:38 AM, seetaramaraju jampana <span dir="ltr"><<a href="mailto:seetaramaraju.jampana@gmail.com" target="_blank">seetaramaraju.jampana@gmail.com</a>></span> wrote:<br></div></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div><div dir="ltr"><span style="font-size:12.8000001907349px">Hi ,</span><div style="font-size:12.8000001907349px"><br></div><div style="font-size:12.8000001907349px"> How to reject ICA components by map. I mean to say , when the components maps are generated what are the areas to look out which suggest that the particular components has to be rejected. </div><div style="font-size:12.8000001907349px"> For Eg. the component map has been generated so which components are fit for rejection.The compononents maps link is </div><div style="font-size:12.8000001907349px"><br></div><div style="font-size:12.8000001907349px"> <a href="https://www.dropbox.com/s/ixwz55hnv3a0pen/EEG_components.bmp?dl=0" target="_blank"> https://www.dropbox.com/s/ixwz55hnv3a0pen/EEG_components.bmp?dl=0</a></div><div style="font-size:12.8000001907349px"><br></div><div style="font-size:12.8000001907349px">Thanks,</div><div style="font-size:12.8000001907349px">Raju</div></div>
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</div></div></blockquote></div><br><br clear="all"><div><br></div>-- <br><div class="gmail_signature"><div dir="ltr">Makoto Miyakoshi<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<br></div></div>
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