Hello HCP-team, after taking a look into the HCP related papers, I decided to download the FIX/pre-processed rfMRI-data for 1 subject (100307_3T_rfMRI_REST_fix). I want the "ready-to-analyze"-pre-processed data for the first session and assume the volumetric data is provided via the fix dataset and the following nifti-files (only first rfMRI-session):
*-rfMRI_REST1_LR_hp2000_clean.nii* *-rfMRI_REST1_RL_hp2000_clean.nii* My aim is 1. to extract the timecourse from every (greymatter) voxel, i.e. creating a 4D-Matrix (x,y,z, Volume) 2. to extract data from ROIs created by HCP (parcellated connectome?) in short, I want to handle the data like a pre-processed nii-file ready to extract the voxel/ROI time course data. since I'm still a little uncertain about how to proceed and if I have the correct dataset the following questions arise: 1. Is it necessary to combine/concatenate LR and RL - data? If so, is there a way to combine them via the workbench? 2. Can I handle the nii-files like a "normal" nii-file for example in Matlab (e.g. read voxel time courses via spm) or are still some pre-processing steps necessary (I understand that only "non-agressive" filtering was applied)? 3. Are white matter and csf-signals already regressed out of the FIX data? 4. Is there a mask-file for the localization of voxels? I only found a mask-file in the 100307_3T_rfMRI_REST1_preproc dataset in which there seems to be no correction of motion and physiologic artefacts(?) 5. How to get the data for the parcellation in order to extract ROI means? 6. Is it possible to extract also the voxel time courses (4D Matrix) from subcortical regions? Thanks in advance for your time & keep up the good work! David -- David Hofmann (M.Sc.) Institute of Medical Psychology and Systems Neuroscience University of Muenster Von-Esmarch-Str. 52 D-48149 Muenster, Germany Phone: +49 (0) 251 - 83 52794 Mobile: +49 (0) 152 - 09822352 E-Mail: davidhofm...@uni-muenster.de http://campus.uni-muenster.de/medpsych.html _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp-users
