<div dir="ltr"><div><div>Thank you Alex,<br><br>>the implementation in MNE-Python can deal with this, i.e. SSS rank reduction.<br><br></div>I do not see a parameter that would define the data rank in dics_source_power. Is it done automatically?<br><br></div>Elena<br></div><div class="gmail_extra"><br><div class="gmail_quote">On 10 September 2015 at 15:47, Alexandre Gramfort <span dir="ltr"><<a href="mailto:alexandre.gramfort@telecom-paristech.fr" target="_blank">alexandre.gramfort@telecom-paristech.fr</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">hi Elena,<br>
<span class=""><br>
> I would like to use the DICS beamformer for connectivity analysis with the<br>
> Electa data. Since I am new to the method, could someone kindly advise me<br>
> on a couple of basic things?<br>
><br>
><br>
> 1. Is it ok to use the SSS/motion correction before beamforming? Sins the<br>
> SSS decreases dimensionality of the data can it seriously deteriorate the<br>
> beamformer solution ?<br>
<br>
</span>the implementation in MNE-Python can deal with this, i.e. SSS rank reduction.<br>
<span class=""><br>
> 2. Would it be ok to apply ICA for EOG and ECG artifact correction before<br>
> beamforming or would these artifacts be effectively cleaned by the<br>
> beamformer itself?<br>
<br>
</span>some people say ICA for EOG / ECG is not necessary for beamformers...<br>
<br>
You should test with your own data.<br>
<br>
HTH<br>
Alex<br>
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