[pymvpa] Temporal filtering and smoothing
debian at onerussian.com
Wed Apr 11 18:27:17 BST 2018
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
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