This work looks to see the effects of analysing and de-noising resting state functional data in the native space in comparison to the conventional methodology which utilises the normalistaion, by voxel interpolation and re-sampling, of images to a standard space. We sought to investigate these effects in rs-fMRI data collected in healthy volunteers and analysed with multi-echo ICA de-noising and seed based connectivity.
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