Ingenia 3t mri system

MRI data, including structural MRI and diffusion-weighted MRI, were collected using an Ingenia 3T MRI system (Philips Healthcare, Best, Netherlands) for the patients and site-dependent MRI systems of different manufacturers for the normative controls. For the patients, structural MRI data composed of one volume image in sagittal planes were acquired with the three-dimensional T1 turbo field echo sequence: number of slices = 176, slice thickness = 1.0 mm, matrix size = 256 × 256, and in-plane resolution = 1.0 mm × 1.0 mm; and diffusion-weighted MRI data composed of 33 volume images in axial planes, including 32 with diffusion weighting at b value = 1000 s/mm² and one without diffusion weighting, were acquired with the diffusion tensor imaging sequence: number of slices = 72, slice thickness = 2.0 mm, matrix size = 128 × 128, and in-plane resolution = 1.8 mm × 1.8 mm. For the normative controls, structural MRI data consisted of one volume image in sagittal planes: number of slices = 176, slice thickness = 1.0 mm, matrix size = 240 × 256, and in-plane resolution = 1.0 mm × 1.0 mm; and diffusion-weighted MRI data consisted of 65 volume images in axial planes, comprising 64 with diffusion weighting at b value = 1000 s/mm² and one without diffusion weighting: number of slices = 72, slice thickness = 2.0 mm, matrix size = 116 × 116, and in-plane resolution = 2.0 mm × 2.0 mm.

MRI scans were collected using an Ingenia 3 T MRI system (Philips Healthcare, Best, Netherlands). Specifically, sMRI data were acquired in sagittal planes with a 3D T1-weighted turbo field echo imaging sequence: number of slices = 176, slice thickness = 1.00 mm, matrix size = 256 × 256, and in-plane resolution = 1.00 mm × 1.00 mm.
We used tools in CAT12 (http://www.neuro.uni-jena.de/cat/) to process the sMRI data. A brain image was segmented into probability maps of different tissue, including GM, whiter matter (WM), and corticospinal fluid. Each voxel in the GM probability map represented a local concentration of GM. The GM probability map was spatially registered to a reference brain in the standard space to eliminate inter-individual anatomy variations, and during the spatial normalization step, volume variations introduced due to spatial normalization were corrected by rescaling GM probability values in each voxel by Jacobian determinants derived from deformation fields. The spatially normalized GM probability map was then smoothed with an isotropic Gaussian kernel with 8 mm full-width-at-half-maximum.