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<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="FONT-SIZE: 10pt; FONT-FAMILY: Arial; mso-ansi-language: EN-US">Hello
Ed</SPAN><SPAN lang=EN-US
style="mso-ansi-language: EN-US"><o:p></o:p></SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="mso-ansi-language: EN-US"> <o:p></o:p></SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="FONT-SIZE: 10pt; FONT-FAMILY: Arial; mso-ansi-language: EN-US">I'll make
my response in terms of the <?xml:namespace prefix = st1 ns =
"urn:schemas-microsoft-com:office:smarttags" /><st1:City w:st="on"><st1:place
w:st="on">ICA</st1:place></st1:City> (runica) algorithm in EEGLab and I will use
a food example.</SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="mso-ansi-language: EN-US"> </SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="mso-ansi-language: EN-US"><FONT face=Arial><FONT size=2>Using runICA (or
a pie knife)</FONT></FONT></SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="FONT-SIZE: 10pt; FONT-FAMILY: Arial; mso-ansi-language: EN-US">(1) disassemble
the pie into pieces. Each piece does not (except for special
circumstances) equate to individual EEG channels. Sometimes it might look like
only one or a couple channels are involved. </SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="FONT-SIZE: 10pt; FONT-FAMILY: Arial; mso-ansi-language: EN-US"></SPAN><SPAN
lang=EN-US
style="FONT-SIZE: 10pt; FONT-FAMILY: Arial; mso-ansi-language: EN-US">(2) Removing
any of the pieces removes the rejected piece from the pie entirely.
Variance of varied amounts on each channel that relates to the component in
question will be removed from all channels.</SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="FONT-SIZE: 10pt; FONT-FAMILY: Arial; mso-ansi-language: EN-US">(3) when
you re-assemble the remaining pieces into a new pie, you get a different pie.
The new pie does not contain the pieces that were removed.</SPAN><SPAN
lang=EN-US style="mso-ansi-language: EN-US"><o:p></o:p></SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="mso-ansi-language: EN-US"> <o:p></o:p></SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="FONT-SIZE: 10pt; FONT-FAMILY: Arial; mso-ansi-language: EN-US">Hence, you
can completely remove ocular artifacts from the EEG using this 3 step
process.</SPAN><SPAN lang=EN-US
style="mso-ansi-language: EN-US"><o:p></o:p></SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="mso-ansi-language: EN-US"> <o:p></o:p></SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="FONT-SIZE: 10pt; FONT-FAMILY: Arial; mso-ansi-language: EN-US">For
example:</SPAN><SPAN lang=EN-US
style="mso-ansi-language: EN-US"><o:p></o:p></SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="mso-ansi-language: EN-US"> </SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="mso-ansi-language: EN-US"><FONT face=Arial><FONT size=2>Using
runICA</FONT></FONT></SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="mso-ansi-language: EN-US"><FONT face=Arial
size=2></FONT></SPAN> </P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="FONT-SIZE: 10pt; FONT-FAMILY: Arial; mso-ansi-language: EN-US">(1)
decompose you 32 channel EEG dataset into maximally statistically
independent components using runICA. (The rank of the data should be
32.)</SPAN><SPAN lang=EN-US
style="mso-ansi-language: EN-US"><o:p></o:p></SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="FONT-SIZE: 10pt; FONT-FAMILY: Arial; mso-ansi-language: EN-US">(2) reject
components identified as ocular artifact</SPAN><SPAN lang=EN-US
style="mso-ansi-language: EN-US"><o:p></o:p></SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="FONT-SIZE: 10pt; FONT-FAMILY: Arial; mso-ansi-language: EN-US">(3)
re-combine the remaining components to create a new version of the 32 channel
EEG dataset. (The rank of the data will now be less than 32. If you
removed 1 component, the rank will be 31.)</SPAN><SPAN lang=EN-US
style="mso-ansi-language: EN-US"><o:p></o:p></SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="mso-ansi-language: EN-US"> <o:p></o:p></SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="mso-ansi-language: EN-US"> <FONT face=Arial><FONT size=2>The Special
Circumstance above:</FONT></FONT></SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="mso-ansi-language: EN-US"><FONT face=Arial><FONT
size=2></FONT></FONT></SPAN> </P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="mso-ansi-language: EN-US"><FONT face=Arial><FONT size=2>Artefacts such as
"electrode pops" that are on single channels will have equivalent components
that relate specifically to the channel with the 'pop'
artefact.</FONT></FONT></SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="mso-ansi-language: EN-US"><FONT face=Arial
size=2></FONT></SPAN> </P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="mso-ansi-language: EN-US"><FONT face=Arial
size=2></FONT></SPAN> </P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="mso-ansi-language: EN-US"> <o:p></o:p></SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN lang=EN-US
style="FONT-SIZE: 10pt; FONT-FAMILY: Arial; mso-ansi-language: EN-US">Phil</SPAN><SPAN
lang=EN-US style="mso-ansi-language: EN-US"><o:p></o:p></SPAN></P></FONT></DIV>
<DIV><FONT face=Arial size=2></FONT> </DIV>
<DIV>
<DIV><FONT face=Arial size=2>=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=<BR>Philip Michael
Zeman B.Eng, Ph.D. <SPAN lang=EN-US
style="FONT-SIZE: 10pt; FONT-FAMILY: Arial; mso-ansi-language: EN-US">(aka:
International Data Analysis Guru Mercenary for Hire)</SPAN></FONT></DIV>
<DIV><FONT face=Arial size=2><SPAN lang=EN-US
style="FONT-SIZE: 10pt; FONT-FAMILY: Arial; mso-ansi-language: EN-US"></SPAN>Applied
Brain and Vision Sciences Inc.<BR>Brain Function Analysis for Novel Paradigms
and Serious Games<BR>Analysis of Pharmaceutical Effects on Brain Function<BR><A
href="mhtml:{439FBB32-AAF8-4DEF-9E59-73E2AD717E82}mid://00000458/!x-usc:http://www.abvsciences.com/"><FONT
color=#0066cc>http://www.abvsciences.com</FONT></A><BR>Latest Brain Research
Result:<BR><A
href="mhtml:{439FBB32-AAF8-4DEF-9E59-73E2AD717E82}mid://00000458/!x-usc:http://www.spatialbrain.com/"><FONT
color=#0066cc>http://www.spatialbrain.com</FONT></A><BR>Email: <A
href="mhtml:{439FBB32-AAF8-4DEF-9E59-73E2AD717E82}mid://00000458/!x-usc:mailto:pzeman@alumni.uvic.ca"><FONT
color=#0066cc>pzeman@alumni.uvic.ca</FONT></A><BR>Phone:
+1-250-589-4234<BR>LinkedIn Profile: <A
href="mhtml:{439FBB32-AAF8-4DEF-9E59-73E2AD717E82}mid://00000458/!x-usc:http://ca.linkedin.com/in/philipmichaelzeman"><FONT
color=#0066cc>http://ca.linkedin.com/in/philipmichaelzeman</FONT></A><BR>=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=</FONT></DIV></DIV>
<DIV><FONT face=Arial size=2></FONT> </DIV>
<DIV><FONT face=Arial size=2></FONT> </DIV>
<DIV><FONT face=Arial size=2></FONT> </DIV>
<DIV><FONT face=Arial size=2></FONT> </DIV>
<BLOCKQUOTE
style="PADDING-RIGHT: 0px; PADDING-LEFT: 5px; MARGIN-LEFT: 5px; BORDER-LEFT: #000000 2px solid; MARGIN-RIGHT: 0px">
<DIV style="FONT: 10pt arial">----- Original Message ----- </DIV>
<DIV
style="BACKGROUND: #e4e4e4; FONT: 10pt arial; font-color: black"><B>From:</B>
<A title=EJM9F@hscmail.mcc.virginia.edu
href="mailto:EJM9F@hscmail.mcc.virginia.edu">Modestino, Edward J *HS</A>
</DIV>
<DIV style="FONT: 10pt arial"><B>To:</B> <A title=eeglablist@sccn.ucsd.edu
href="mailto:eeglablist@sccn.ucsd.edu">eeglablist@sccn.ucsd.edu</A> </DIV>
<DIV style="FONT: 10pt arial"><B>Sent:</B> Monday, September 13, 2010 1:26
PM</DIV>
<DIV style="FONT: 10pt arial"><B>Subject:</B> [Eeglablist] ICA Debate</DIV>
<DIV><BR></DIV>
<DIV class=WordSection1>
<P class=MsoNormal>We are having a heated debate here about EEGLAB and
ICA. When you use ICA to remove components in EEGLAB, does it remove
these components only from the channels where the component is present or does
it remove it from all channels?<o:p></o:p></P>
<P class=MsoNormal>Thanks<o:p></o:p></P>
<P class=MsoNormal>Ed<o:p></o:p></P>
<P class=MsoNormal><SPAN
style="FONT-SIZE: 11pt; COLOR: #1f497d; FONT-FAMILY: 'Calibri','sans-serif'"><o:p> </o:p></SPAN></P>
<P class=MsoNormal><SPAN
style="FONT-SIZE: 11pt; COLOR: #1f497d; FONT-FAMILY: 'Calibri','sans-serif'">Edward
Justin Modestino, Ph.D.<o:p></o:p></SPAN></P>
<P class=MsoNormal><SPAN
style="FONT-SIZE: 11pt; COLOR: #1f497d; FONT-FAMILY: 'Calibri','sans-serif'">Postdoctoral
Research Associate<o:p></o:p></SPAN></P>
<P class=MsoNormal><SPAN
style="FONT-SIZE: 11pt; COLOR: #1f497d; FONT-FAMILY: 'Calibri','sans-serif'">Ray
Westphal Neuroimaging Laboratory<o:p></o:p></SPAN></P>
<P class=MsoNormal><SPAN
style="FONT-SIZE: 11pt; COLOR: #1f497d; FONT-FAMILY: 'Calibri','sans-serif'">Division
of Perceptual Studies<o:p></o:p></SPAN></P>
<P class=MsoNormal><SPAN
style="FONT-SIZE: 11pt; COLOR: #1f497d; FONT-FAMILY: 'Calibri','sans-serif'">Department
of Psychiatry and Neurobehavioral Sciences<o:p></o:p></SPAN></P>
<P class=MsoNormal><SPAN
style="FONT-SIZE: 11pt; COLOR: #1f497d; FONT-FAMILY: 'Calibri','sans-serif'">University
of Virginia<o:p></o:p></SPAN></P>
<P class=MsoNormal><SPAN
style="FONT-SIZE: 11pt; COLOR: #1f497d; FONT-FAMILY: 'Calibri','sans-serif'">Email:
ejm9f@virginia.edu<o:p></o:p></SPAN></P>
<P class=MsoNormal><SPAN
style="FONT-SIZE: 11pt; COLOR: #1f497d; FONT-FAMILY: 'Calibri','sans-serif'"><o:p> </o:p></SPAN></P>
<P class=MsoNormal><SPAN
style="FONT-SIZE: 11pt; COLOR: #1f497d; FONT-FAMILY: 'Calibri','sans-serif'"><o:p> </o:p></SPAN></P></DIV>
<P>
<HR>
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