Dear GIFT experts, I am investigating dynamic brain connectivity of resting state fMRI data. I have done different steps of preprocessing including: those mentioned in "Ashkan Faghiri et al., 2018", registeration into MNI space and interpolation of the voxel size to 333 iso. At the same time, anatomical data have brain extracted and registered to MNI space. Using FSL FAST, anatomical masks of CSF, WM and GM for each subject has created. Finally, spatial group ICA has applied on functional data using...
Dear GIFT experts, I am investigating dynamic brain connectivity of resting state fMRI data. I have done different steps of preprocessing including: those mentioned in "Ashkan Faghiri et al., 2018", registeration into MNI space and interpolation of the voxel size to 333 iso. At the same time, anatomical data have brain extracted and registered to MNI space. Using FSL FAST, anatomical masks of CSF, WM and GM for each subject has created. Finally, spatial group ICA has applied on functional data using...
Dear GIFT experts, I am investigating dynamic brain connectivity of resting state fMRI data. I have done different steps of preprocessing including: those mentioned in "Ashkan Faghiri et al., 2018", registeration into MNI space and interpolation of the voxel size to 333 iso. At the same time, anatomical data have brain extracted and registered to MNI space. Using FSL FAST, anatomical masks of CSF, WM and GM for each subject has created. Finally, spatial group ICA has applied on functional data using...
Dear GIFT experts, I am investigating dynamic brain connectivity of resting state fMRI data. I have done different steps of preprocessing including: those mentioned in "Ashkan Faghiri et al., 2018", registeration into MNI space and interpolation of the voxel size to 333 iso. At the same time, anatomical data have brain extracted and registered to MNI space. Using FSL FAST, anatomical masks of CSF, WM and GM for each subject has created. Finally, spatial group ICA has applied on functional data using...