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August 19, 2018 12:24PM
Dear all,

I am intersted to use 3D deconvolve to obtain voxel-wise response functions for event-related data in mice.

Particularly, for my analysis, I aim to investigate a modelled 'nuisance' term that has a unique shape for each individual brain voxel.

Essentially, I would like estimate the response function with and without this term, to evaluate if it would improve estimation of the response function.

I understand that in 3D deconvolve, it is possible to provide nuisance terms (such as motion vectors) in the baseline model.

I however don't know how to provide such terms in a unique way for each respective voxel.

Can anyone please help me?

Thank you in advance,

Subject Author Posted

voxel-wise unique co-variates

michael_belloy August 19, 2018 12:24PM

Re: voxel-wise unique co-variates

rick reynolds August 20, 2018 09:53AM

Re: voxel-wise unique co-variates

michael_belloy September 01, 2018 09:55PM

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