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<p>Hi Hassan,</p>
<p>I also got some strange results from beamforming, although I was
using DICS, not LCMV. I'm working with EEG data so I don't know
if we're using the same recording setup. Jan-Mathijs suggested
that there might be problems with the forward model that are
influencing the shape of the beamformer. You can look at our
exchange if it's still in your inbox.</p>
<p>Regarding modeling, I think fieldtrip has programs to simulated
sensors given a particular dipole distribution but I haven't used
them. Another approach would be to save the leadfields and apply
them to a simulated matrix of source-level oscillators. Set most
of the "sources" to random noise and place sinusoids with a known
frequency and high SNR at only a few locations (don't use
identical oscillators for each source since beamformers lose
spatial resolution for strongly correlated sources). I haven't
tried this in fieldtrip, but I was able to do it with brainstorm
and the "dipoles" showed up at the correct locations when I
applied an inverse model to the simulated sensor data.</p>
<p>Best,</p>
<p>Alexander<br>
</p>
<div class="moz-cite-prefix">On 6/10/16 8:57 AM, Hassan Aleem wrote:<br>
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cite="mid:CAEpb3L3oL_98+BMxiKT44STNhjXuE2kqKF3mJVXCvbZd2_oz8g@mail.gmail.com"
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<div dir="ltr">Hi all,
<div><br>
</div>
<div>I have a pipeline for beamforming but I am getting
unexpected results from my own data, for the sake of sanity I
wanted to run some simulated data to see what I get. I am
looking to do a timelockanalysis with the LCMV method, so
can't use the tutorial data. Would appreciate any help!</div>
<div><br>
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<div>Best,</div>
<div><br>
</div>
<div>Hassan</div>
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</blockquote>
<br>
<pre class="moz-signature" cols="72">--
Alexander Nakhnikian, Ph.D.
Postdoctoral Fellow
Clinical Research Training Program
VA Boston Healthcare System
Harvard Medical School
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