Hi all, for a later analysis where I extract ROIs with SPM, I need to concatenate the resting state runs and want to make sure I'm doing it correctly. SPM extracts the first eigenvariate of a ROI, i.e. the component that explains the most variance.
I'm using the* Resting State fMRI 1 FIX-Denoised (Extended)* and *Resting State fMRI 2 FIX-Denoised (Extended)* datasets. That is, the files: rfMRI_REST1_LR_hp2000_clean.nii, rfMRI_REST1_RL _hp2000_clean.nii asf. I chose the following approach: 1. z-standardize each session (each voxel timecourse), i.e. RL, LR separately 2. Then concatenate them 3. Run the SPM routines which will also apply a high-pass filter of about 128s on the already concatenated data (it's for the processing of a DCM rather than functional connectivity) I have the following questions: 1. Is this approach correct? 2. Does the order of concatenation matter? That is, (RL/LR or LR/RL) or is it important to concatenate it in the order it was acquired in each subject? I read that it sometimes changes between subjects such that LR came first in one subject and RL first in another. 3. Since SPM will run a hp-filter on the concatenated data, would it be better to hp filter each run *separately* before concatenation? 4. Is this approach also applicable to the task data (i.e. standardize and filter separately before concatenation)? Thanks in advance David _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp-users