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Hi experts,

I have some fMRI data that I have pre-processed in Feat. I want to resample a 
single subject's data to the fs_average surface but unsure of the most optimal 
way of doing this. At present I am warping the functional data to the MNI brain 
in the volume (using FSL's applywarp) and then resampling to fs_average using 
the following command.

  *   mri_vol2surf --src filtered_func_MNI.nii --out filtered_func_surf.mgh 
--hemi rh --mni152reg

My question is whether you think this is the most appropriate approach, and/or 
if there is way to move directly from native volume to fs_average surface 
without needing to go via MNI volume?

Best wishes,
Mason


Mason T Wells, MSc

PhD student

School of Optometry and Vision Sciences

& Cardiff University Brain Research

Imaging Centre (CUBRIC), School of Psychology

Cardiff University

Cardiff

CF24 4HQ

UK



Email: wells...@cardiff.ac.uk<mailto:wells...@cardiff.ac.uk>

Tel: 02920 879628

Web: Cardiff University 
webpage<https://secure-web.cisco.com/1qGEoQnnU3besQKg-GQwdKq-WtCCzi1b5tl-HNLywYRQ48GHFhy2hNJxQfxY9t4vTe7V1-y5Gueo1-GHgls6xg6bCuHa7_Jm97SAxD4oOE1UzEYgt7j1TAqX1ySqfIvn8RozeJRSp-IFzu55FlX2sxTiuLxLWu0P4qA860qMdGbRyktdbz7B6M46-kYle2bYvPS1QR9PQNiqacvoErgAfRjfCdCy4DMcmKR4oB9wflZvX6HelaCoJDegiTXtqTXGM6biEq93kMOwFQdAsjxQytA/https%3A%2F%2Fwww.cardiff.ac.uk%2Fpeople%2Fresearch-students%2Fview%2F974214-><http://secure-web.cisco.com/1Mj4YBzh-BsbinaViI1QJ6drLVkixPOlMFL2tzAILihwp7NTJnQae_pLahqS4QxQaVSrJ7isMlnRstGdQFn7Af4EqFwenuIfYtx72OCMy5u_2woCOgFK_CLoK48YOGskB3SdvihqW4_OVDbaoInSgQwUZbHCnTxI9b5-rGpG37mwVZZEJh23saNQBg-3HZLc0fR4-q-86bCefbdUttUlYg6LY7Mm_FpY8neJEQyqeqepTqxKxzl0m7Hvo7jXNWzf1h-e6xm8iL1bCJhw-y87BHw/http%3A%2F%2Fwww.cardiff.ac.uk%2Fpeople%2Fresearch-students%2Fview%2F482937->

Mason T Wells, MSc

Myfyriwr PhD

Yr Ysgol Optometreg a Gwyddorau’r Golwg

& Canolfan Ymchwil Delweddu’r Ymennydd Prifysgol Caerdydd (CUBRIC), Yr Ysgol 
Seicoleg

Prifysgol Caerdydd

Heol Maindy

Caerdydd

CF24 4HQ

DU



E-bost: wells...@caerdydd.ac.uk<mailto:wells...@caerdydd.ac.uk>

Ffôn: 02920 879628

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