variability of average

Mailing List Archive (read-only)
1

Hi everyone,

Really quick question, is it possible for the MNE averager to show the variability of the average? perhaps on a trial by trial basis?

Thanks
Lauren

2

hi Lauren,

would computing the standard deviation across epochs do what you want?
if so you can do this with MNE.

With mne-python use : epochs.standard_error()

HTH
Alex

3

Hi,

Thanks for this, yes this is what I wanted.

However I am unfamiliar with MNE python, do I insert the full path to the raw datafile in the brackets?

Thank you
Lauren

4

hi Lauren,

you need to get started with mne-python

http://martinos.org/mne/stable/python_tutorial.html

and explore : http://martinos.org/mne/stable/mne-python.html

HTH
Alex

5

Thanks for this, another quick question...when I compute the standard error of the average, can this be translated to the source space time series data when I click on a vertex? In other words, is there a way to find the standard error across trials of a particular time series location? Or does this need to be done before the inverse solution is calculated?

Thanks very much for your help
Lauren

6

hi Lauren,

Thanks for this, another quick question...when I compute the standard error of the average, can this be translated to the source space time series data when I click on a vertex? In other words, is there a way to find the standard error across trials of a particular time series location? Or does this need to be done before the inverse solution is calculated?

to do this you'll need to do it manually with a for loop using
pick_ori='normal' to generate and stc of standard deviations.

let us know if you need help.

Alex

7

If I'm not mistaken you can actually source localize the standard deviation
just as you do it with an average evoked.

Denis

2014-11-28 11:12 GMT+01:00 Alexandre Gramfort <
alexandre.gramfort at telecom-paristech.fr>:

hi Lauren,

> Thanks for this, another quick question...when I compute the standard
error of the average, can this be translated to the source space time
series data when I click on a vertex? In other words, is there a way to
find the standard error across trials of a particular time series
location? Or does this need to be done before the inverse solution is
calculated?

to do this you'll need to do it manually with a for loop using
pick_ori='normal' to generate and stc of standard deviations.

let us know if you need help.

Alex

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8

If I'm not mistaken you can actually source localize the standard deviation
just as you do it with an average evoked.

yes but it's a bad idea as by taking std you went non-linear and
forward model does not apply. So don't do it.

A

9

Oh yeah ...

2014-11-28 11:34 GMT+01:00 Alexandre Gramfort <
alexandre.gramfort at telecom-paristech.fr>:

> If I'm not mistaken you can actually source localize the standard
deviation
> just as you do it with an average evoked.

yes but it's a bad idea as by taking std you went non-linear and
forward model does not apply. So don't do it.

A
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