Signa architect 3.0 t mri scanner

MRI data were acquired with a GE SIGNA Architect 3.0 T MRI scanner and, for each volunteer, included 4 functional runs (gradient-echo echo-planar sequence, 46 axial slices, TR = 1,500 ms, voxel size: 3 × 3 × 2.7 mm with a 0.3 mm gap), and a high-resolution T1-weighted anatomical image (344 sagittal slices, TR = 2184.9 ms, TE = 3.09 ms, voxel size = 1 × 1 × 1 mm).
fMRI data were preprocessed using MATLAB version R2021a (The MathWorks Inc., Natick, Mass) and SPM12 (Wellcome Department of Imaging Neuroscience, London, United Kingdom). Functional volumes were slice-time corrected and realigned to the first volume acquired. The T1-weighted image was coregistered to the mean functional image and segmented using standard SPM tissue probability maps. The estimated deformation fields warp parameters from subject to MNI (Montreal Neurologic Institute) space were used to normalize the functional volumes to the MNI template implemented in SPM12. Finally, the functional data were smoothed with a 6x6x6 mm FWHM Gaussian kernel.

The HR-VWI sequences were examined using a SIGNA Architect 3.0 T MRI scanner (GE Healthcare, Chicago, IL, USA) and an Achieva 3.0 T MRI scanner (Philips Healthcare, Andover, MA, USA) and the HR-VWI sequences were CUBE: TR 850 ms, TE 15 ms, TE flip angle 90°, refocusing control angle 50°, layer thickness 2 mm, matrix 200 mm × 181 mm; VISTA: TR 800 ms, TE 20 ms, flip angle 90°, refocusing control angle 50°, layer thickness 2 mm, matrix 200 mm × 181 mm. Other imaging protocols included T1 weighted image, T2 weighted image, T2 FLAIR, diffusion-weighted imaging (DWI) and MRA.