<div dir="ltr">Dear Booer,<div><br></div><div>even though it's time consuming, my advice is:</div><div>- to find a way to reject very noisy segments of data BEFORE applying ICA (for example using EEGLAB's rejection methods and tuning the threshold to be as good as possible for all your subjects)</div>
<div>- to review ICA components marked as artefacted by ADJUST or any other method you want to use before blindly accepting automatic classifications.</div><div>In my experience, the time spent in cleaning the data is paid back by much clearer results in the analysis!</div>
<div><br></div><div>Best,</div><div><br></div><div>Marco</div></div><div class="gmail_extra"><br><br><div class="gmail_quote">On 6 August 2014 09:22, bjj2909102003 <span dir="ltr"><<a href="mailto:bjj2909102003@163.com" target="_blank">bjj2909102003@163.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div>
<div><span></span>Thank you for replying.</div><div><div>Actually, before I run ICA, I only filter the data by bandpass filter. It takes too much time to reject some <span style="font-size:10.5pt;line-height:1.5;background-color:window">non-stereotypical artifacts, especially when I got many subjects(~100) data.</span></div>
</div><div><span style="font-size:10.5pt;line-height:1.5;background-color:window">It is painful by visual inspection one by one. Your advice is good. Nonetheless, I believe ICA is robust in many situations.</span></div><div>
<span style="font-size:10.5pt;line-height:1.5;background-color:window"><br></span></div><div><span style="font-size:10.5pt;line-height:1.5;background-color:window">Thanks!</span></div><div><span style="font-size:10.5pt;line-height:1.5;background-color:window">Booer</span></div>
<hr style="width:210px;min-height:1px" color="#b5c4df" size="1" align="left">
<div><span>bjj2909102003</span></div>
<blockquote style="margin-top:0px;margin-bottom:0px;margin-left:0.5em"><div> </div><div style="border:none;border-top:solid #b5c4df 1.0pt;padding:3.0pt 0cm 0cm 0cm"><div style="PADDING-RIGHT:8px;PADDING-LEFT:8px;FONT-SIZE:12px;FONT-FAMILY:tahoma;COLOR:#000000;BACKGROUND:#efefef;PADDING-BOTTOM:8px;PADDING-TOP:8px">
<div><b>From:</b> <a href="mailto:marco.buiatti@gmail.com" target="_blank">Marco Buiatti</a></div><div><b>Date:</b> 2014-08-06 14:53</div><div><b>To:</b> <a href="mailto:bjj2909102003@163.com" target="_blank">bjj2909102003</a></div>
<div><b>CC:</b> <a href="mailto:eeglablist@sccn.ucsd.edu" target="_blank">eeglablist</a></div><div><b>Subject:</b> Re: [Eeglablist] ICA and eye blink component</div></div></div><div><div class="h5"><div><div><div dir="ltr">
Dear Booer,<div><br></div><div>blinks are usually well identified by ICA. You may not easily identify blinks if:</div><div>1) your subject blinks really a few times -> not enough for being captured by ICA, you may just discard the few epochs containing the blinks;</div>
<div>2) when your subject blinks, s/he moves so much that the relative artifact spreads over most sensors, and ICA is not able to capture it in a few clear components -> Also in this case my advice is to discard the epochs containing the blinks;</div>
<div>3) you are computing the ICA on noisy data -> reject segments of your data containing non-stereotypical artifacts and compute the ICA again.</div><div><br></div><div>ADJUST works well only if the ICA is computed on clean enough data.</div>
<div><br></div><div>Refs:</div><div>On blinks: Croft, R., & Barry, R. (2000). Removal of ocular artifact from the EEG: A review. Clinical Neurophysiology, 30, 5–19.<br></div><div><br></div><div>On removing blinks with ICA: Jung, T.-P., et al. (2000). Removing electroencephalographic artifacts by blind source separation. Psychophysiology, 37, 163–178.</div>
<div><br></div><div>On removing blinks with ADJUST: Mognon A, Bruzzone L, Jovicich J, Buiatti M, ADJUST: An Automatic EEG artifact Detector based on the Joint Use of Spatial and Temporal features. Psychophysiology 48 (2), 229-240 (2011).</div>
<div><br></div><div>Hope this helps,</div><div><br></div><div>Marco</div><div><br></div><div><br></div></div><div class="gmail_extra"><br><br><div class="gmail_quote">On 5 August 2014 08:53, bjj2909102003 <span dir="ltr"><<a href="mailto:bjj2909102003@163.com" target="_blank">bjj2909102003@163.com</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"><div>
<div><span></span>Hello,</div><div>I want to use ICA to reject eye blink. But for some subjects it is easy to find eye blink component, for others it is hard to find blink component even I use the plugin-ADJUST. So does ICA <span style="background-color:rgba(0,0,0,0)">extract</span> eye blink component without fail??</div>
<div><br></div><div>Thanks so much!</div><div>Booer</div><hr style="width:210px;min-height:1px" color="#b5c4df" size="1" align="left">
<div><br></div>
</div><br>_______________________________________________<br>
Eeglablist page: <a href="http://sccn.ucsd.edu/eeglab/eeglabmail.html" target="_blank">http://sccn.ucsd.edu/eeglab/eeglabmail.html</a><br>
To unsubscribe, send an empty email to <a href="mailto:eeglablist-unsubscribe@sccn.ucsd.edu" target="_blank">eeglablist-unsubscribe@sccn.ucsd.edu</a><br>
For digest mode, send an email with the subject "set digest mime" to <a href="mailto:eeglablist-request@sccn.ucsd.edu" target="_blank">eeglablist-request@sccn.ucsd.edu</a><br></blockquote></div><br><br clear="all">
<div><br></div>
-- <br>Marco Buiatti, PhD<br><br>CEA/DSV/I2BM / NeuroSpin<br>INSERM U992 - Cognitive Neuroimaging Unit<br>Bât 145 - Point Courrier 156<br>Gif sur Yvette F-91191 FRANCE<br>Ph: +33(0)169.08.65.21 <br>Fax: +33(0)169.08.79.73<br>
E-mail: <a href="mailto:marco.buiatti@gmail.com" target="_blank">marco.buiatti@gmail.com</a><br><a href="http://www.unicog.org/pm/pmwiki.php/Main/MarcoBuiatti" target="_blank">http://www.unicog.org/pm/pmwiki.php/Main/MarcoBuiatti</a><br>
<br>***********************************************
</div>
</div></div></div></div></blockquote>
</div></blockquote></div><br><br clear="all"><div><br></div>-- <br>Marco Buiatti, PhD<br><br>CEA/DSV/I2BM / NeuroSpin<br>INSERM U992 - Cognitive Neuroimaging Unit<br>Bât 145 - Point Courrier 156<br>Gif sur Yvette F-91191 FRANCE<br>
Ph: +33(0)169.08.65.21 <br>Fax: +33(0)169.08.79.73<br>E-mail: <a href="mailto:marco.buiatti@gmail.com" target="_blank">marco.buiatti@gmail.com</a><br><a href="http://www.unicog.org/pm/pmwiki.php/Main/MarcoBuiatti" target="_blank">http://www.unicog.org/pm/pmwiki.php/Main/MarcoBuiatti</a><br>
<br>***********************************************
</div>