[FieldTrip] head motion regression with ft_regressconfound on a continuous MEG data

[McGowin, Inna]

Hello everybody,

I would like to use the  ft_regressconfound function to remove/reduce the
head motion in a continuous MEG data.
It's a resting state data and no averaging can be applied. Is there a way
to apply the correction without using the

ft_timelockanalysis(cfg, data) function?
I understand that the ft_regressconfound function has limits and
caveats but I still would like to see the results of its correction.

Another way to ask this question is:
what is the format/structure of the second input (timelock) in the
ft_regressconfound(cfg, timelock) function and how it can be created
without ft_timelockanalysis?

Thanks,

Inna
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.science.ru.nl/pipermail/fieldtrip/attachments/20131113/7667d9c4/attachment-0001.html>