[Mne_analysis] lowpass filtering data in sensor or source space

sheraz at nmr.mgh.harvard.edu sheraz at nmr.mgh.harvard.edu
Thu Nov 15 13:31:23 EST 2012
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Filtering in source space is very costly, number of sources >> number of
sensors, best filter to use which granted zero phase shift in Matlab is
eegfilt (attached).

Sheraz

> Hello,
>
> I have used mne_compute_raw_inverse to produce the inverse solution for
> raw data, and loaded this data into matlab.
>
> However, I have inspected the data and would like to lowpass filter the
> data further before extracting the statistics that I am interested in.
>
> It seems like my options are to either low pass filter the raw sensor
> data further before computing the inverse solution, or to filter the
> source data directly in matlab. Is there any methodological reason to
> prefer one method over the other?
>
> If filtering the source data in matlab is preferred (or if both methods
> are fine), could anyone recommend a particular filter type? I've looked
> into documentation for filtering in matlab and it seems like there are a
> tremendous amount of options.
>
> Thanks,
>
> --
> Matthew Panichello
> Research Coordinator, Bar Group
> Massachusetts General Hospital
> Phone: 617-726-9034
>
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> Mne_analysis at nmr.mgh.harvard.edu
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