Hello! 

I have been browsing the forum regarding native space seed-voxel analysis and have not seen the issue I am running into.

I only have one subject loaded. I have rs data that are already preprocessed. I loaded the native space structural and functionals. I loaded the subject-specific ROIs (cluster-based ROIs from a localizer task) and the native space gray, white, and csf segmented images. I loaded the output from ART as covariates (motion, timeseries, outliers). Under options, I chose ROI-ROI and seed-voxel (and all the output files). Denoising ran fine. First level ran fine.

BUT, when I view the first-level results, the activation map is offset from the structural map. What is happening? It looks as though the seed-voxel analysis was forced into MNI space (which is not what I want). Is it just the seed-voxel analysis that is affected? If I extract the correlation matrix for the ROI-ROI analysis for this subject, will it be accurate (i.e., all in native space)? How do I keep the seed-voxel analysis in native space? See attached image.

Any help/insight is greatly apprecicated. 

Thanks!