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Dear Layan,
  For higher-level analyses the data will already be in a standard space ( almost certainly MNI ) so the MNI standard mask should be fine - an exact fit isn’t critical here as it’s more important that no brain regions are excluded.

Kind Regards
Matthew
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Dr Matthew Webster
FMRIB Centre
John Radcliffe Hospital
University of Oxford

On 20 Apr 2022, at 17:12, Layan Elfaki <[log in to unmask]<mailto:[log in to unmask]>> wrote:

Dear FSL experts,

I'm currently implementing TFCE analysis on seed-based first-level results through randomise, but I was curious about the -m portion of the command line argument. I understand it refers to the mask inputted, and I've been using a 2mm standard MNI mask as the input for this. I looked through the archives of the forum, but I'm not able to discern if this is correct or if I should be using a mask registered to the subjects' brains?

Any help is appreciated

Kind regards,
Layan

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