<div dir="ltr"><span style="color:rgb(0,0,0);font-family:'bookman old style','new york',times,serif;font-size:18.85714340209961px">> if computing onset latencies for each subject and then performing a repeated measures ANOVA is an accceptable method</span><br>
<div class="gmail_extra"><br></div><div class="gmail_extra">No. Use standard ANOVA, not repeated measures one.</div><div class="gmail_extra"><br></div><div class="gmail_extra">Makoto<br><br><div class="gmail_quote">On Mon, Aug 11, 2014 at 5:33 PM, Angel Tabullo <span dir="ltr"><<a href="mailto:angeltabullo@yahoo.com" target="_blank">angeltabullo@yahoo.com</a>></span> wrote:<br>
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<div><span>Thank you so much! I've been reviewing the literature and I decided to go with the fractional area latency instead of the peak latency. The ERPLAB plugin has a tool for calculating this and other measures at individual subject level. My only remaining question now is if computing onset latencies for each subject and then performing a repeated measures ANOVA is an accceptable method to estimate ERP latencies. </span></div>
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<br></div> <div><br><br></div><div style="display:block"> <div style="font-family:'bookman old style','new york',times,serif;font-size:14pt"> <div style="font-family:HelveticaNeue-Light,'Helvetica Neue Light','Helvetica Neue',Helvetica,Arial,'Lucida Grande',sans-serif;font-size:12pt">
<div dir="ltr"> <font face="Arial"> El Lunes, 11 de agosto, 2014 8:23 P.M., Makoto Miyakoshi <<a href="mailto:mmiyakoshi@ucsd.edu" target="_blank">mmiyakoshi@ucsd.edu</a>> escribió:<br> </font> </div><div><div class="h5">
<br><br> <div><div><div><div dir="ltr">Actually I found 'Peakfit' toolbox by Paul Sajda.<div><a rel="nofollow" shape="rect" href="http://sccn.ucsd.edu/wiki/Plugin_list_process" target="_blank">http://sccn.ucsd.edu/wiki/Plugin_list_process</a><br clear="none">
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<br clear="none"><br clear="none"><div><div>On Mon, Aug 11, 2014 at 3:32 PM, Stephen Politzer-Ahles <span dir="ltr"><<a rel="nofollow" shape="rect" href="mailto:spa268@nyu.edu" target="_blank">spa268@nyu.edu</a>></span> wrote:<br clear="none">
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<div dir="ltr">Hi Angel,<div><br clear="none"></div><div>I don't know if EEGLAB/STUDY has built-in options, but you can get a peak latency for any subject on any channel using MATLAB code, something like the following:</div>
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</div><div>channel_idx = 4; % use channel 4 (for example) for the peak latency</div>
<div>time_window = [300 500]; % use the N400 time window (for example)</div><div>samples = find(EEG.times >= time_window(1) & EEG.times <= time_window(2)); % the samples to test</div><div>data = EEG.data( channel_idx, samples ); % pull out the data for this channel and time window<br clear="none">
</div><div>peak_latency = EEG.times( samples( find( data==max(data) ) ) ); % get the peak latency in this window (max() can be replaced with min() for a negative peak)</div><div><br clear="all"><div>
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<div>Best,</div><div>Steve<span><font color="#888888"><br clear="none"><br clear="none"></font></span></div><span><font color="#888888">Stephen Politzer-Ahles<br clear="none">New York University, Abu Dhabi<br clear="none">
Neuroscience of Language Lab<br clear="none"><a rel="nofollow" shape="rect" href="http://www.nyu.edu/projects/politzer-ahles/" target="_blank">http://www.nyu.edu/projects/politzer-ahles/</a><br clear="none"></font></span></div>
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<br clear="none"><br clear="none"><div>On Tue, Aug 12, 2014 at 3:27 AM, Makoto Miyakoshi <span dir="ltr"><<a rel="nofollow" shape="rect" href="mailto:mmiyakoshi@ucsd.edu" target="_blank">mmiyakoshi@ucsd.edu</a>></span> wrote:<br clear="none">
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<div dir="ltr">Dear Angel,<div><br clear="none"></div><div>Not sure about the single subject level, but for the group level my plugin std_ErpCalc() <a rel="nofollow" shape="rect" href="http://sccn.ucsd.edu/wiki/Plugin_list_process" target="_blank">http://sccn.ucsd.edu/wiki/Plugin_list_process</a> has an option to compute IC-wise peak and trough amplitude and latency measurement from GUI. I haven't checked the plugin for long time so if you encounter bugs let me know.</div>
<div><br clear="none"></div><div>Makoto</div></div><div><br clear="none"><br clear="none"><div>On Tue, Aug 5, 2014 at 7:58 PM, Angel Tabullo <span dir="ltr"><<a rel="nofollow" shape="rect" href="mailto:angeltabullo@yahoo.com" target="_blank">angeltabullo@yahoo.com</a>></span> wrote:<br clear="none">
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<br clear="none"></div><div><span style="font-family:'times new roman','new york',times,serif;font-size:14pt">Hi everyone! I need to perform a peak latency analysis for P300 and N400 potentials. I wanted to ask if it is possible to do this in EEGLAB, and, in case there's more than one available method, which one do you think it's best.</span><br clear="none">
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<div><div><div><div style="color:rgb(0,0,0);font-family:'times new roman','new york',times,serif;font-size:14pt;background-color:rgb(255,255,255)"><div><br clear="none"></div><div style="color:rgb(0,0,0);font-size:19px;font-family:'times new roman','new york',times,serif;font-style:normal;background-color:transparent">
Thanks for your attention!</div><div style="color:rgb(0,0,0);font-size:19px;font-family:'times new roman','new york',times,serif;font-style:normal;background-color:transparent"><br clear="none"></div><div style="color:rgb(0,0,0);font-size:19px;font-family:'times new roman','new york',times,serif;font-style:normal;background-color:transparent">
Dr. Angel Tabullo</div></div></div></div><br clear="none"><br clear="none"></div> </div> </div> </div> </div></div><br clear="none">_______________________________________________<br clear="none">
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-- <br clear="none"><div dir="ltr">Makoto Miyakoshi<br clear="none">Swartz Center for Computational Neuroscience<br clear="none">Institute for Neural Computation, University of California San Diego<br clear="none"></div>
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</blockquote></div></div><br clear="none"><br clear="all"><div><br clear="none"></div>-- <br clear="none"><div dir="ltr">Makoto Miyakoshi<br clear="none">Swartz Center for Computational Neuroscience<br clear="none">Institute for Neural Computation, University of California San Diego<br clear="none">
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</div></div></div></div><br><br></div> </div></div></div> </div> </div> </div></div></blockquote></div><br><br clear="all"><div><br></div>-- <br><div dir="ltr">Makoto Miyakoshi<br>Swartz Center for Computational Neuroscience<br>
Institute for Neural Computation, University of California San Diego<br></div>
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