Hello folks -
Two questions:
1) When I specify a highpass or lowpass filter in mne_process_raw
during averaging, what filter is it using (butterworth, chebychev,
etc.)?
2) When loading a dataset in mne_analyze, under "available data sets"
it always lists conditions as " [condition1] > average ",
" [condition2] > average ", etc. Is there any way to load a dataset as
" [condition1] > [condition2] "?
Thanks -
Eliezer Kanal
Hi,
Hello folks -
Two questions:
1) When I specify a highpass or lowpass filter in mne_process_raw
during averaging, what filter is it using (butterworth, chebychev,
etc.)?
The filters are realized in the frequency domain by weighting the
frequency response. The bandpass window transition regions have a
cos^2 ahspe with a width as specified in the filter dialog.
2) When loading a dataset in mne_analyze, under "available data
sets" it always lists conditions as " [condition1] > average ",
" [condition2] > average ", etc. Is there any way to load a dataset
as " [condition1] > [condition2] "?
The notation, inherited from Neuromag software, labels the condition
and the kind of quantity (average) computed. You can also compute
standard errors of mean with mne_browse_raw/mne_process_raw, hence
the ">average" specifier.
What would you like to accomplish with " [condition1] > [condition2]"?
- Matti
Thanks for the quick answer about the filter.
Regarding the comparisons, I had thought that the ">" notation meant
it was comparing the signal intensity to baseline, with the baseline
being the average (hence "average") value of the magnetic field (from
the time interval specified in "scales"). In my case, I have two
conditions, and I want to compare the intensity of the two signals.
Instead of loading each and then visually comparing the two, or
subtracting the timeseries in matlab and making an fif of the
difference, I want to know if I can load two timeseries and have MNE
compute the difference between the two, so I can get an idea about the
differential activity between the conditions. Thanks -
Eliezer