[FieldTrip] Trial-masked robust detrending

[Helin Erden]

Dear community,

I am doing an EEG-MVPA study, using Fieldtrip for preprocessing. To target
slow drifts, instead of using high-pass filtering + baseline correction, I
was wondering if I could implement “trial-masked” robust detrending in
Fieldtrip as in this paper:

van Driel, J., Olivers, C. N. L., & Fahrenfort, J. J. (2021). High-pass
filtering artifacts in multivariate classification of neural time series
data. Journal of Neuroscience Methods, 352, 109080.
https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.1016%2Fj.jneumeth.2021.109080&data=05%7C02%7Cfieldtrip%40science.ru.nl%7Cba0b1dbc9123483b8d6d08de29ce69e0%7C084578d9400d4a5aa7c7e76ca47af400%7C1%7C0%7C638994163821605920%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C40000%7C%7C%7C&sdata=9d0XahbD4GIeZ6Z4oIu0ucoReElewlO8ty2UyemxX0k%3D&reserved=0
<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0165027021000157&data=05%7C02%7Cfieldtrip%40science.ru.nl%7Cba0b1dbc9123483b8d6d08de29ce69e0%7C084578d9400d4a5aa7c7e76ca47af400%7C1%7C0%7C638994163821624179%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C40000%7C%7C%7C&sdata=En%2B3Lk%2BEDRr43J%2B9SiaRmdFGYiXr%2BUX7zdE3j4C%2BFKU%3D&reserved=0>


I believe nt_detrend from Noisetools can be used with Fieldtrip structures,
but I am especially wondering if combining it with trial-masking is
possible in Fieldtrip, and which functions would help. Thank you in advance
for any help or advice.

Best,
Helin
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