<div dir="ltr">Dear Sharon,<div><br></div><div>I wish you good luck in launching new experiments in the new field! Here are my advice to perform a good experiment with lipstick piggies.</div><div><br></div><div>1. Choose a robust paradigm.</div>
<div>2. For event-related potential paradigm, try to have as many trials as possible. 100 would be good to start.</div><div>3. For this reason, minimize the conditions to compare. The best is 1x2 design (within-subject, 2 conditions) so that you can have more trials.</div>
<div>4. Record as long data as possible. 7-8 min rest before and after the task <i>without taking a cap</i> helps your ICA decomposition during the task period.</div><div>5. Design the task so that you can study your phenomenon of interest even with behavioral measurement only. Behaviorally observable difference <i>must be</i> reflected in EEG.</div>
<div><br></div><div>Don't forget that robust paradigm, many trials, and long recording time are the best solutions for good data, and signal processing does not help as much.</div><div><br></div><div>Makoto</div></div>
<div class="gmail_extra"><br><br><div class="gmail_quote">2014-02-16 23:53 GMT-08:00 Sharon Jalene <span dir="ltr"><<a href="mailto:sharonjalene@gmail.com" target="_blank">sharonjalene@gmail.com</a>></span>:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div dir="ltr">Lipstick on a pig, eh? I can't stop laughing. Hopefully I can get enough interest with this project to get a better looking pig. Thanks for the link!<br></div><div class="gmail_extra"><div><div class="h5">
<br><br><div class="gmail_quote">
On Sun, Feb 16, 2014 at 11:27 PM, Tom Campbell <span dir="ltr"><<a href="mailto:tom_campbell75@hotmail.com" target="_blank">tom_campbell75@hotmail.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 dir="ltr">
<div dir="ltr"><font face="Times New Roman">Hi,<br> <br>The most serious noise issue concerns the electrodes. So the electronics are rather good at putting lipstick on a pig! The device has built-in filters, though additional offline filtering is an option. People use this device for BCI without offline filtering. It is possible to customise with better electrodes:<span style="line-height:200%;font-family:"Times New Roman","serif";font-size:12pt" lang="EN-GB"><u></u><a href="https://github.com/SmartphoneBrainScanner/smartphonebrainscanner2-hardware/blob/master/easycap/build_instructions.md" rel="nofollow" target="_blank">https://github.com/SmartphoneBrainScanner/smartphonebrainscanner2-hardware/blob/master/easycap/build_instructions.md</a><u></u></span><br>
<br>These may be of interest:<br> <br></font></div><p style="margin:0in 0in 0pt 0.25in;line-height:200%" dir="ltr"><span style="line-height:200%;font-family:"Times New Roman","serif";font-size:12pt" lang="EN-GB">Debener, S., Minow, F., Emkes, R., Gandras,
K. & de Vos, M. How about taking a low-cost, small, and wireless eeg for a
walk?. <i>Psychophysiology</i> <b>49</b> 1617</span><span style="line-height:200%;font-family:"Times New Roman","serif";font-size:12pt" lang="EN-GB">–</span><span style="line-height:200%;font-family:"Times New Roman","serif";font-size:12pt" lang="EN-GB">1621 doi:</span><a href="http://dx.doi.org/10.1111/j.1469-8986.2012.01471.x" target="_blank"><span style="line-height:200%;font-family:"Times New Roman","serif";font-size:12pt;text-decoration:none" lang="EN-GB"><font color="#0000ee">http://dx.doi.org/10.1111/j.1469-8986.2012.01471.x</font></span></a><span style="line-height:200%;font-family:"Times New Roman","serif";font-size:12pt" lang="EN-GB"> ( 2012) </span></p>
<p style="margin:0in 0in 0pt 0.25in;line-height:200%" dir="ltr"><span style="line-height:200%;font-family:"Times New Roman","serif";font-size:12pt" lang="EN-GB"><font face="Times New Roman"></font></span> </p>
<p style="margin:0in 0in 0pt 0.25in;line-height:200%" dir="ltr"><span style="line-height:200%;font-family:"Times New Roman","serif";font-size:12pt" lang="EN-GB"><u></u><u></u></span> </p><div dir="ltr">
<font face="Times New Roman">
</font></div><div dir="ltr"><font face="Times New Roman">T.<br><br></font><br></div><div dir="ltr"> </div><div dir="ltr"><br> <br></div><div dir="ltr"><hr>From: <a href="mailto:arno@salk.edu" target="_blank">arno@salk.edu</a><br>
Date: Fri, 14 Feb 2014 20:44:45 -0800<br>To: <a href="mailto:sharonjalene@gmail.com" target="_blank">sharonjalene@gmail.com</a><br>CC: <a href="mailto:eeglablist@sccn.ucsd.edu" target="_blank">eeglablist@sccn.ucsd.edu</a><br>
Subject: Re: [Eeglablist] (Too) long of an explanation and questions at the end<div><div><br><br><div><blockquote><div dir="ltr"><div><b><span><span>1.<span style="line-height:normal;font-family:"Times New Roman";font-style:normal;font-variant:normal;font-weight:normal;font-size-adjust:none;font-stretch:normal">
</span></span></span></b><b>Should
I epoch the data before statistical analyses even though I am looking at the
differences between the Grand Average – within subjects?</b><br></div></div></blockquote><div>Yes, you need to extract data epochs to compute the grand average ERP. If you are computing the spectrum (based on the rest of your message), then epoch extraction is not necessary.</div>
<blockquote><div dir="ltr"><div><b><span><span>2.<span style="line-height:normal;font-family:"Times New Roman";font-style:normal;font-variant:normal;font-weight:normal;font-size-adjust:none;font-stretch:normal">
</span></span></span></b>I am HP filtering at 1Hz and using
Cleanline, automatic artifact rejection, visual artifact rejection.<span> </span>I have played with ICA component rejection,
but am not sure I have enough good data to do so. (I recorded pilot data on one
subject – I have 3 minutes of data for each condition and 14 electrodes).<span> </span><b>Is
there an optimal filtering method since I am using the EMOTIV?</b><br></div></div></blockquote><div>This is a very noisy system. To extract meaningful ICA components, the more filtering the better.</div><blockquote><div dir="ltr">
<div>
<b><span><span>a.<span style="line-height:normal;font-family:"Times New Roman";font-style:normal;font-variant:normal;font-weight:normal;font-size-adjust:none;font-stretch:normal">
</span></span></span></b>One of my committee said I should NOT filter
the data or remove artifacts since I am just looking for the Grand Average of
certain freq bands.<b><span> </span></b>Although I see his logic, I believe I should
still remove spurious data so that the mean is not skewed by muscle and other
artifacts… right?<br></div></div></blockquote><div>Yes, if you have strong drifts in your data or DC shifts, you will need to filter. Otherwise, it will ruin the whole spectrum.</div><blockquote><div dir="ltr">
<b><span><span>3.<span style="line-height:normal;font-family:"Times New Roman";font-style:normal;font-variant:normal;font-weight:normal;font-size-adjust:none;font-stretch:normal">
</span></span></span></b>I was able to create a STUDY.<span> </span>I saved separate data sets with the
electrodes of interest. I was able to run power spectrum channel stats as a 3
(conditions) X 2(Left and Right) ANOVA.<span>
</span>I saw the t-tests between conditions and the interaction.<span> </span><br>
<b><span><span>a.<span style="line-height:normal;font-family:"Times New Roman";font-style:normal;font-variant:normal;font-weight:normal;font-size-adjust:none;font-stretch:normal">
</span></span></span></b>Is the power spectrum giving me the average
of the specified freq range?<br></div></blockquote>Yes<br><blockquote><div dir="ltr"><div>
<b><span><span>b.<span style="line-height:normal;font-family:"Times New Roman";font-style:normal;font-variant:normal;font-weight:normal;font-size-adjust:none;font-stretch:normal">
</span></span></span></b>If I epoch the data, can I use Bootstrapping
instead of parametric or permutation?<br></div></div></blockquote><div><br></div>No, this is independent.<br><blockquote><div dir="ltr"><div>
<b><span><span>c.<span style="line-height:normal;font-family:"Times New Roman";font-style:normal;font-variant:normal;font-weight:normal;font-size-adjust:none;font-stretch:normal">
</span></span></span></b>How can I get the actual values, including
the p values, of the stats?<span> </span>I see the
option to show a table with statistics containing the median, mean, mode, etc.,
but it rarely populates and is inconsistent. IS that statcond – on?<br></div></div></blockquote><div>Look at the history and add output to the function that plot the STUDY spectrum (the function name is std_spec). This function will return the statistics (which are computed by statcond).</div>
<br><blockquote><div dir="ltr"><div>
<b><span><span>d.<span style="line-height:normal;font-family:"Times New Roman";font-style:normal;font-variant:normal;font-weight:normal;font-size-adjust:none;font-stretch:normal">
</span></span></span></b>If I show results from a bootsrap, what
statistical test was used to obtain the results? <br></div></div></blockquote><div>The t-value (paired or unpaired) or the F-value is computed. The bootstrap procedure randomly samples the data and allow EEGLAB to obtain confidence intervals for these values under the null hypothesis.</div>
<br><blockquote><div dir="ltr"><div>
<b><span><span>e.<span style="line-height:normal;font-family:"Times New Roman";font-style:normal;font-variant:normal;font-weight:normal;font-size-adjust:none;font-stretch:normal">
</span></span></span></b>Would I be better off using a ratio of Grand Average subtraction of the control from the FOCUS conditions. or pwelch in MATLAB -then dropping the data into SPSS for some non parametric analysis (WIlcoxon rank ordered)?<br>
</div></div></blockquote><div>Sure. You should try what you are comfortable with. The results should be similar. </div></div><br><div>Arno</div><br></div></div><div>_______________________________________________
Eeglablist page: <a href="http://sccn.ucsd.edu/eeglab/eeglabmail.html" target="_blank">http://sccn.ucsd.edu/eeglab/eeglabmail.html</a>
To unsubscribe, send an empty email to <a href="mailto:eeglablist-unsubscribe@sccn.ucsd.edu" target="_blank">eeglablist-unsubscribe@sccn.ucsd.edu</a>
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></div></div>
</div></div>
</blockquote></div><br><br clear="all"><br></div></div>-- <br><div class=""><div dir="ltr"><font><font color="mediumblue" face="Georgia, Times New Roman, Times, Serif">Sharon Jalene<br>
<br>
<font size="1"><a href="http://www.youregettingverysleepy.com/" target="_blank">www.youregettingverysleepy.com</a></font><span style="text-decoration:underline"></span><br>
<font size="1">office: <a href="tel:702-966-3010" value="+17029663010" target="_blank">702-966-3010</a><br>
mobile: <a href="tel:303-908-8441" value="+13039088441" target="_blank">303-908-8441</a><br></font></font></font><span style="color:rgb(0,0,255)"><b><font size="1"><span><br></span></font></b></span><div style="text-align:center">
<div style="text-align:center"><span style="color:rgb(0,0,255)"><b><font size="1"><span><span style></span></span></font></b></span><font size="1"><b><span style="color:rgb(0,0,255)"><span style></span><span style="font-family:georgia,serif"><font size="1"><span style="background-color:rgb(243,243,243)"><span>If one dream should fall and break into a thousand pieces, never be afraid to pick one of those pieces </span></span></font></span></span></b></font><br>
<font size="1"><b><span style="color:rgb(0,0,255)"><span style="font-family:georgia,serif"><font size="1"><span style="background-color:rgb(243,243,243)"><span>and begin again.</span></span></font></span></span></b></font><br>
<font size="1"><b><span style="color:rgb(0,0,255)"><span style="font-family:georgia,serif"><font size="1"><span style="background-color:rgb(243,243,243)"><span>Flavia Weedn</span></span></font></span></span></b></font><br>
</div><font size="1"><b><span style="color:rgb(0,0,255)"><span style="font-family:georgia,serif"><font size="1"><span style="background-color:rgb(243,243,243)"><span></span></span></font></span></span></b></font></div><font size="1"><b><span style="color:rgb(0,0,255)"><span style="font-family:georgia,serif"><font size="1"><span style="background-color:rgb(243,243,243)"><span> <br>
</span></span></font></span></span></b></font><p style="color:rgb(153,0,0);line-height:24px;margin-top:0px;padding-top:0px" align="center"> </p>
<font size="1"><br><span></span></font><p style="color:rgb(0,0,153);font-family:trebuchet ms,sans-serif">
</p>
<font style="color:rgb(0,0,153);font-family:trebuchet ms,sans-serif" face="Arial" size="1"><font style="font-weight:700"></font></font><span style="background-color:rgb(102,102,204)"><span style="background-color:rgb(255,255,255)"></span><span style="background-color:rgb(255,255,255)"></span></span><span style="color:rgb(51,51,255)"> </span><font style="color:rgb(51,51,255)" size="1"><span style="font-family:comic sans ms,sans-serif"></span></font><font><font color="mediumblue" face="Georgia, Times New Roman, Times, Serif"><h6>
<i><font><i><font><span></span></font></i></font></i></h6></font></font></div>
</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">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">eeglablist-request@sccn.ucsd.edu</a><br></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>
</div>