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<font size="4" class="">Hi Kirill,</font>
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<div class=""><font size="4" class="">I don’t know where you got the quote from, so I cannot comment on what I would expect as output units, but I suggest that you check the documentation of the ft_sloreta function, and/or read in the code what is actually
done to generate the function’s output. </font></div>
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<div class=""><font size="4" class="">My suspicion is that what is called ’sloreta’ in fieldtrip does not correspond to the ‘classical’ definition of sloreta that you refer to. From the top of my head already a big difference would be that the original sloreta
is a distributed sourcemodel, which is typically obtained using a single inversion step, while the implementation in fieldtrip seems to run a ’scan’ dipole per dipole, and seems to follow the formulation in the Sekihara and Nagarajan book. Whether or not
these in the end of the day are equivalent: I don’t know. (And at the moment I find it way too hot to think about this)</font></div>
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<div class=""><font size="4" class="">Best wishes,</font></div>
<div class=""><font size="4" class="">Jan-Mathijs</font></div>
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<div class="">On 25 Jun 2020, at 17:49, Кирилл Комаров <<a href="mailto:koman888@mail.ru" class="">koman888@mail.ru</a>> wrote:</div>
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<div class="">Dear Fieldtrippers,<br class="">
I am doing a research of auditory ERP.<br class="">
I've performed source reconstruction using sLORETA method.<br class="">
'The dSPM and sLORETA values are statistical scores akin to z-scores and F-scores; therefore they are unit-less and can be interpreted at deviation from “standard fluctuations” as defined from noise or baseline variance stats for instance. <br class="">
I want to understand why sLORETA applied to data produces so small values for time-courses:<br class="">
1e-10, 1e-9?</div>
<div class="">Meanwhile dSPM yields time-courses in the range 1e+1 - 1e-1.<br class="">
Could You explain or post a reference link?<br class="">
Best wishes,<br class="">
Kirill</div>
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