<html><body><div style="color:#000; background-color:#fff; font-family:times new roman, new york, times, serif;font-size:12pt"><div style="font-family: 'times new roman', 'new york', times, serif; font-size: 12pt; "><span><br></span></div><div style="font-family: 'times new roman', 'new york', times, serif; font-size: 12pt; "><span>Dear Sharma,</span></div><div style="font-family: 'times new roman', 'new york', times, serif; "><font class="Apple-style-span" size="3">Combining two recently proposed papers, the first regarding your task [1] and the second an adopted optimal filter as a preprocessing step of ICA [2,3], i highly recommend you to filter at first single trials from delta to gamma frequency bands and afterward to run ICA for each trial seperately. At a second level, you should estimate inter-trial coherence across ICAs of different trial (see previous e-mail) to reveal in a automatic way related to p300 ICA.Finally,
inter-trial coherence should be estimated in a moving window fashion on the detected </font><span style="font-size: medium; background-color: white; background-image: initial; background-attachment: initial; background-origin: initial; background-clip: initial; ">ICA</span><span class="Apple-style-span" style="font-size: medium; "> </span><sup><font class="Apple-style-span" size="3">p300 </font><span class="Apple-style-span" style="font-size: 16px; ">( ICA</span><sup> </sup><span class="apple-style-span" style="font-size: 16px; "><span style="float: none; ">related to p300)</span></span><font class="Apple-style-span" size="3" style="font-size: 16px; "> starting at an interval before the estimation of peak of p300 (estimated from grand average of </font><span style="background-color: white; font-size: medium; background-image: initial; background-attachment: initial; background-origin: initial; background-clip: initial;
">ICA</span><span class="Apple-style-span" style="font-size: medium; "> </span><sup style="font-size: 12pt; ">p300</sup>time courses). </sup><span class="Apple-style-span" style="font-size: small; "> </span></div><div class="MsoNormal"><o:p></o:p></div><div style="font-family: 'times new roman', 'new york', times, serif; font-size: 12pt; ">I have already adopted the preprocessing step of band-pass filtering before applying ICA in a recent study [3].</div><div><h1 style="font-family: 'times new roman', 'new york', times, serif; font-size: 12pt; "><br></h1><div class="auths" style="font-family: 'times new roman', 'new york', times, serif; font-size: 12pt; "><div class="MsoNormal" style="background-image: initial; background-attachment: initial; background-origin: initial; background-clip: initial; background-color: white; background-position: initial initial; background-repeat: initial initial; "><b><span style="font-size: 12pt; font-family:
'Times New Roman', serif; ">[1]Exploring the
dynamics of P300 amplitude in patients with schizophrenia.<o:p></o:p></span></b></div>
<div class="MsoNormal" style="margin-bottom: 0.0001pt; background-image: initial; background-attachment: initial; background-origin: initial; background-clip: initial; background-color: white; background-position: initial initial; background-repeat: initial initial; "><span style="font-size: 12pt; font-family: 'Times New Roman', serif; "><a href="http://www.ncbi.nlm.nih.gov/pubmed?term=%22Almeida%20PR%22%5BAuthor%5D">Almeida PR</a>, <a href="http://www.ncbi.nlm.nih.gov/pubmed?term=%22Vieira%20JB%22%5BAuthor%5D">Vieira JB</a>, <a href="http://www.ncbi.nlm.nih.gov/pubmed?term=%22Silveira%20C%22%5BAuthor%5D">Silveira C</a>, <a href="http://www.ncbi.nlm.nih.gov/pubmed?term=%22Ferreira-Santos%20F%22%5BAuthor%5D">Ferreira-Santos F</a>, <a href="http://www.ncbi.nlm.nih.gov/pubmed?term=%22Chaves%20PL%22%5BAuthor%5D">Chaves PL</a>, <a href="http://www.ncbi.nlm.nih.gov/pubmed?term=%22Barbosa%20F%22%5BAuthor%5D">Barbosa F</a>, <a
href="http://www.ncbi.nlm.nih.gov/pubmed?term=%22Marques-Teixeira%20J%22%5BAuthor%5D">Marques-Teixeira J</a>.<o:p></o:p></span></div></div><div class="auths" style="font-family: 'times new roman', 'new york', times, serif; font-size: 12pt; ">[2]<span class="Apple-tab-span" style="white-space:pre"> </span>Cong et al., 2011.Dimension reduction: Additional benefit of an optimal filter for indepedent component analysi to extract event-related potentials Journal of Neuroscience Methods</div><div class="auths" style="font-family: 'times new roman', 'new york', times, serif; font-size: 12pt; ">[3]<strong style="font-family: Verdana, Geneva, Arial, Helvetica, sans-serif; font-size: 13px; line-height: 18px; text-align: justify; ">Dimitriadis SI</strong><span class="Apple-style-span" style="font-family: Verdana, Geneva, Arial, Helvetica, sans-serif; font-size: 13px; line-height: 18px; ">, Laskaris NA, Tsirka V, Vourkas M, Micheloyannis S. </span><strong
style="font-family: Verdana, Geneva, Arial, Helvetica, sans-serif; font-size: 13px; line-height: 18px; text-align: justify; ">What does delta band tell us about cognitive Processes: a mental calculation study</strong><span class="Apple-style-span" style="font-family: Verdana, Geneva, Arial, Helvetica, sans-serif; font-size: 13px; line-height: 18px; text-align: justify; ">.</span><strong style="font-family: Verdana, Geneva, Arial, Helvetica, sans-serif; font-size: 13px; line-height: 18px; text-align: justify; ">Neuroscience Letters Volume 483, Issue 1 October, 2010 p.11-15.</strong></div><div class="auths" style="font-family: 'times new roman', 'new york', times, serif; font-size: 12pt; "><strong style="font-family: Verdana, Geneva, Arial, Helvetica, sans-serif; font-size: 13px; line-height: 18px; text-align: justify; "><br></strong></div><div class="auths" style="font-family: 'times new roman', 'new york', times, serif; font-size: 12pt; "><strong
style="font-family: Verdana, Geneva, Arial, Helvetica, sans-serif; font-size: 13px; line-height: 18px; text-align: justify; "><br></strong></div><div class="auths" style="font-family: 'times new roman', 'new york', times, serif; font-size: 12pt; "><strong style="font-family: Verdana, Geneva, Arial, Helvetica, sans-serif; font-size: 13px; line-height: 18px; text-align: justify; "><br></strong></div><div class="auths" style="font-family: 'times new roman', 'new york', times, serif; font-size: 12pt; "><div>Best reagards</div><div>Dimitriadis Stavros</div><div><span class="yiv1697294453Apple-style-span" style="font-family: Verdana, Geneva, Arial, Helvetica, sans-serif; font-size: 13px; line-height: 18px; ">PhD candidate in NeuroInformatics, Patras -Thessaloniki Greece</span><br></div><div><span class="yiv1697294453Apple-style-span" style="font-family: Verdana, Geneva, Arial, Helvetica, sans-serif; font-size: 13px; line-height: 18px;
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">http://users.auth.gr/~stdimitr/index.html</a></div></div><div class="auths" style="font-family: 'times new roman', 'new york', times, serif; font-size: 12pt; "><br></div></div><div style="font-family: 'times new roman', 'new york', times, serif; font-size: 12pt; "><br></div><div style="font-size: 12pt; font-family: 'times new roman', 'new york', times, serif; "><div style="font-size: 12pt; font-family: 'times new roman', 'new york', times, serif; "><font size="2" face="Arial"><hr size="1"><b><span style="font-weight:bold;">Απο:</span></b> "eeglablist-request@sccn.ucsd.edu" <eeglablist-request@sccn.ucsd.edu><br><b><span style="font-weight: bold;">Προς:</span></b> eeglablist@sccn.ucsd.edu<br><b><span style="font-weight: bold;">Στάλθηκε:</span></b> 12:00 μ.μ. Δευτέρα, 14 Νοεμβρίου 2011<br><b><span style="font-weight: bold;">Θεμα:</span></b> eeglablist Digest, Vol 85, Issue 4<br></font><br>-----
Προωθημένο μήνυμα -----<br><br>Send eeglablist mailing list submissions to<br> <a ymailto="mailto:eeglablist@sccn.ucsd.edu" href="mailto:eeglablist@sccn.ucsd.edu">eeglablist@sccn.ucsd.edu</a><br><br>To subscribe or unsubscribe via the World Wide Web, visit<br> <a href="http://sccn.ucsd.edu/mailman/listinfo/eeglablist" target="_blank">http://sccn.ucsd.edu/mailman/listinfo/eeglablist</a><br>or, via email, send a message with subject or body 'help' to<br> <a ymailto="mailto:eeglablist-request@sccn.ucsd.edu" href="mailto:eeglablist-request@sccn.ucsd.edu">eeglablist-request@sccn.ucsd.edu</a><br><br>You can reach the person managing the list at<br> <a ymailto="mailto:eeglablist-owner@sccn.ucsd.edu" href="mailto:eeglablist-owner@sccn.ucsd.edu">eeglablist-owner@sccn.ucsd.edu</a><br><br>When replying, please edit your Subject line so it is more specific<br>than "Re: Contents
of eeglablist digest..."<br><br>Today's Topics:<br><br> 1. ICA in clinical populations (Sharma, Anuradha)<br>Dear All,<br><br>I have applied ICA to auditory oddball data in a group of healthy controls and schizophrenia patients to try and isolate the P3b (posterior) and P3f (frontal) components. The problem is that although I get two very clean components in most subjects in the control group, in the patients due to distorted topographies (which leads to different dipole localizations), time courses etc., it has been very hard uptil now to find the corresponding/comparable components in the patient group. Has anybody had a similar problem when using clinical populations, are there any reccommendable clustering strategies to find corresponding components in such populations?<br><br>Would be thankful for any tips...<br><br>Best,<br>Anuradha<br><br><br><br>_______________________________________________<br>eeglablist mailing list <a
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