corcorana
commented
1 week ago Hi -- yes, that's exactly right; no alpha peak has been detected in this
case (given the parameters used to separate peaks from background
fluctuations).
Bear in mind that PAF aims to resolve a single dominant peak, so it could
be the case you have two strong peaks of similar magnitude -- a CoG
estimate should still be returned in this case.
You might be able to resolve a PAF estimate if you reduce the mpow
optional input from 1 (to capture smaller peaks -- note this increases the
risk of spurious peak detection), and/or by reducing the mdiff optional
input from the default value of 0.2 (if there are indeed multiple peaks of
similar magnitude).
Hope that helps.
On Tue, 19 Nov 2024 at 03:26, Sein Jeung @.***> wrote:
Hello, I have a question you might know a quick answer to. When plugging my data into the tutorial script, I notice that only one participant's data returns a NaN muPaf value as well as other parameters. In the documentation a case is described where the sd column has a NaN entry due to the lack of cross-channel muPaf estimate. Is NaN entry in the muPaf column also an expected behaviour and should I interpret it as no alpha peak detected? The data structure is identical to that of other participants for whom it runs perfectly.
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Hello, I have a question you might know a quick answer to. When plugging my data into the tutorial script, I notice that only one participant's data returns a NaN muPaf value as well as other parameters. In the documentation a case is described where the sd column has a NaN entry due to the lack of cross-channel muPaf estimate. Is NaN entry in the muPaf column also an expected behaviour and should I interpret it as no alpha peak detected? The data structure is identical to that of other participants for whom it runs perfectly.