On Wed, 11 Apr 2018, Alyson Saenz wrote:
>Dear PyMVPA community,
>Hi, it has being a while since I worked with a new database, I'm starting
>a new project and was about to do some preprocessing, I remember to have
>read somewhere that it was recommended not to apply temporal filtering to
>the data nor smoothing.
"It depends" ;-)
> I did found the no smoothing part, but I havent
>had any luck with the temporal filtering part. I'm also concern that I
>might not remember something important or that there have been some new
>findings in similar regards, so, just to be sure.
>Can anyone tell me what kind of preprocessing is recommended?
It depends on what effects you are aiming for, and classification task.
Typically at least some minor spatial "smoothing/filtering" (~4-6mm
gaussian) and temporal filtering lowpass (to despike motion etc) and
highpass (to remove lengthy trends, might be done via regressing out
nuisance regressors such as first N PCA components from ventricles etc).
--
Yaroslav O. Halchenko
Center for Open Neuroscience http://centerforopenneuroscience.org
Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755
Phone: +1 (603) 646-9834 Fax: +1 (603) 646-1419
WWW: http://www.linkedin.com/in/yarik
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