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<p class="MsoNormal"><span style="font-size:12pt;line-height:115%;font-family:"Times New Roman","serif"">Dear All,</span></p><p class="MsoNormal"><span style="font-size:12pt;line-height:115%;font-family:"Times New Roman","serif""><br></span></p>
<p class="MsoNormal"><span style="font-size:12pt;line-height:115%;font-family:"Times New Roman","serif"">I hope you are fine.</span></p>
<p class="MsoNormal"><span style="font-size:12pt;line-height:115%;font-family:"Times New Roman","serif""><br></span></p><p class="MsoNormal"><span style="font-size:12pt;line-height:115%;font-family:"Times New Roman","serif"">Sir, I am working for the completion of my PhD thesis
in the field of EEG source localization by using various methods such as
eLORETA, MUSIC, Min Norm etc. For this, I have been using SPM and Fieldtrip to
first simulate EEG data and then use inverse methods to localize the sources. I
have simulated the data by using two head models that are BEM and FEM. For BEM,
I have used SPM+ Fieldtrip. However, for FEM I have purely used Fieldtrip
SIMBIO command line. <span style> </span>Now, I want to use
the inverse methods for localization. For this, I have gone through the
tutorials available at the fieldtrip website </span><a href="http://fieldtrip.fcdonders.nl/example"><span style="font-size:12pt;line-height:115%;font-family:"Times New Roman","serif"">http://fieldtrip.fcdonders.nl/example</span></a><span style="font-size:12pt;line-height:115%;font-family:"Times New Roman","serif"">
. There, I found that there are following methods which are used for inverse
problem:</span></p>
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<p class="" style="margin:0cm 0cm 0.0001pt 60pt;line-height:normal"><b style><i style><span style="font-size:12pt;font-family:"Times New Roman","serif""><span style>1)<span style="font:7pt "Times New Roman""> </span></span></span></i></b><span style="font-size:12pt;font-family:"Times New Roman","serif"">linear constrained minimum
variance beamformer (LCMV)</span></p>
<p class="" style="margin:0cm 0cm 0.0001pt 60pt;line-height:normal"><b style><i style><span style="font-size:12pt;font-family:"Times New Roman","serif""><span style>2)<span style="font:7pt "Times New Roman""> </span></span></span></i></b><span style="font-size:12pt;font-family:"Times New Roman","serif"">synthetic aperture magnetometry
(SAM)</span></p>
<p class="" style="margin:0cm 0cm 0.0001pt 60pt;line-height:normal"><b style><i style><span style="font-size:12pt;font-family:"Times New Roman","serif""><span style>3)<span style="font:7pt "Times New Roman""> </span></span></span></i></b><span style="font-size:12pt;font-family:"Times New Roman","serif"">dynamic imaging of coherent
sources (DICS)</span></p>
<p class="" style="margin:0cm 0cm 0.0001pt 60pt;line-height:normal"><b style><i style><span style="font-size:12pt;font-family:"Times New Roman","serif""><span style>4)<span style="font:7pt "Times New Roman""> </span></span></span></i></b><span style="font-size:12pt;font-family:"Times New Roman","serif"">partial cannonical
correlation/coherence (PCC)</span></p>
<p class="" style="margin:0cm 0cm 0.0001pt 60pt;line-height:normal"><b style><i style><span style="font-size:12pt;font-family:"Times New Roman","serif""><span style>5)<span style="font:7pt "Times New Roman""> </span></span></span></i></b><span style="font-size:12pt;font-family:"Times New Roman","serif"">minimum norm estimation (MNE)</span></p>
<p class="" style="margin:0cm 0cm 0.0001pt 60pt;line-height:normal"><b style><i style><span style="font-size:12pt;font-family:"Times New Roman","serif""><span style>6)<span style="font:7pt "Times New Roman""> </span></span></span></i></b><span style="font-size:12pt;font-family:"Times New Roman","serif"">minimum norm estimation with
smoothness constraint (LORETA)</span></p>
<p class="" style="margin:0cm 0cm 0.0001pt 60pt;line-height:normal"><b style><i style><span style="font-size:12pt;font-family:"Times New Roman","serif""><span style>7)<span style="font:7pt "Times New Roman""> </span></span></span></i></b><span style="font-size:12pt;font-family:"Times New Roman","serif"">multiple signal classification
(MUSIC)</span></p>
<p class="" style="margin:0cm 0cm 0.0001pt 60pt;line-height:normal"><b style><i style><span style="font-size:12pt;font-family:"Times New Roman","serif""><span style>8)<span style="font:7pt "Times New Roman""> </span></span></span></i></b><span style="font-size:12pt;font-family:"Times New Roman","serif"">scan residual variance with
single dipole (RV)</span></p>
<p class="" style="margin:0cm 0cm 0.0001pt 60pt;line-height:normal"><b style><i style><span style="font-size:12pt;font-family:"Times New Roman","serif""><span style>9)<span style="font:7pt "Times New Roman""> </span></span></span></i></b><span style="font-size:12pt;font-family:"Times New Roman","serif"">multivariate Laplace source
localization (MVL)</span></p>
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<p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal"><span style="font-size:12pt;font-family:"Times New Roman","serif"">However,
I want to apply min norm, LORETA and MUSIC only for my data. As I studied
MUSIC for applying on EEG data, I found that the code is developed by going
through the research article of J.C. Mosher et. al. “Multiple dipole
modelling and localization from spatiotemporal MEG data,” IEEE Trans. Biomed.
Engg., pp. 541-557, June 1992. Though the basic definitions are
understandable, however, I am confused in implementation for <b style>EEG</b> data. For this, I have following
questions:</span></p>
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<p class="" style="margin-bottom:0.0001pt;line-height:normal"><span style="font-size:12pt;font-family:"Times New Roman","serif""><span style>1)<span style="font:7pt "Times New Roman""> </span></span></span><span style="font-size:12pt;font-family:"Times New Roman","serif"">What is <i style>numcomponent</i> variable? I mean how it can be used for EEG data? </span></p>
<p class="" style="margin-bottom:0.0001pt;line-height:normal"><span style="font-size:12pt;font-family:"Times New Roman","serif""><span style>2)<span style="font:7pt "Times New Roman""> </span></span></span><span style="font-size:12pt;font-family:"Times New Roman","serif"">What is <i style>dip</i> variable? From where we can generate it for an EEG data? </span></p>
<p class="" style="margin-bottom:0.0001pt;line-height:normal"><span style="font-size:12pt;font-family:"Times New Roman","serif""><span style>3)<span style="font:7pt "Times New Roman""> </span></span></span><span style="font-size:12pt;font-family:"Times New Roman","serif"">If we have computed leadfield
by using BEM and FEM, how we can introduce in the programme provided at </span><a href="https://github.com/fieldtrip/fieldtrip/blob/master/inverse/music.m"><span style="font-size:12pt;font-family:"Times New Roman","serif"">https://github.com/fieldtrip/fieldtrip/blob/master/inverse/music.m</span></a><span style="font-size:12pt;font-family:"Times New Roman","serif""> ?</span></p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 18pt;line-height:normal"><span style="font-size:12pt;font-family:"Times New Roman","serif""> </span></p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 18pt;line-height:normal"><span style="font-size:12pt;font-family:"Times New Roman","serif""> </span></p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 18pt;line-height:normal"><span style="font-size:12pt;font-family:"Times New Roman","serif"">I hope you shall answer my
questions.</span></p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 18pt;line-height:normal"><span style="font-size:12pt;font-family:"Times New Roman","serif""> </span></p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 18pt;line-height:normal"><span style="font-size:12pt;font-family:"Times New Roman","serif"">Thanks for your time.</span></p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 18pt;line-height:normal"><span style="font-size:12pt;font-family:"Times New Roman","serif""> </span></p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 18pt;line-height:normal"><span style="font-size:12pt;font-family:"Times New Roman","serif"">Kind Regards,</span></p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 18pt;line-height:normal"><span style="font-size:12pt;font-family:"Times New Roman","serif"">Munsif.</span></p>
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<br clear="all"><br>-- <br><div class="gmail_signature"><div dir="ltr"><div>Munsif Ali H.Jatoi,<br><br>Ph D Scholar,<br>Centre for Intelligent Signals and Imaging Research,<br>Universiti Teknologi PETRONAS,<br>Malaysia.<br><br><a href="http://scholar.google.com.my/citations?user=Y6g6jOAAAAAJ&hl=en" target="_blank">http://scholar.google.com.my/citations?user=Y6g6jOAAAAAJ&hl=en</a> <br></div></div></div>
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