Skyra 3.0t mri scanner

MRI examination is to observe the morphology of the facial nerve of the temporal bone and the transverse diameters of the facial nerve mastoid; second, the genu and tympanic segments will be considered as the outcome indicators. The measurements will be performed within day 4 after onset and day 10 after onset. The MRI examination (SIEMENS MAGNETOM Skyra 3.0T MRI Scanner using head matrix coils) protocol for this study sequence is as follows: T1 three-dimensional magnetization-prepared rapid gradient-echo imaging with the following parameters: 256 × 256 mm field of view (FOV), repetition time/echo time (TR/TE) of 2000.00/1.97 ms, 192 sections of 1.0 mm thickness, with a voxel size = 1.0 × 1.0 × 1.0 mm, flip angle 20°, and acquisition time of 4 min, 40 s.

All MRI data were acquired on a Siemens Skyra 3.0 T MRI scanner before surgery. The complete MRI acquisition protocol included three-dimensional (3D) anatomical T1-weighted imaging and fMRI echo-planar imaging. The 3D anatomical T1-weighted imaging parameters were as follows: 176 sagittal slices, repetition time = 1900 ms, echo time = 3.57 ms, voxel size = 1 × 1 × 1 mm, and flip angle = 9°. The echo-planar imaging sequence parameters were as follows: 33 axial slices, slices thickness = 4 mm with a 0-mm gap, repetition time = 3000 ms, echo time = 30 ms, voxel size = 3.4 × 3.4 × 4 mm, and flip angle = 90°. During the fMRI imaging, 120 volumes were obtained that lasted 8.5 min.

We used data from n = 900 individuals from the HCP 1,200 Subject Data Release (aged 22–35 years). All HCP participants provided informed consent. A custom Siemens SKYRA 3.0T MRI scanner and a custom 32-channel head matrix coil were used to obtain high-resolution T1-weighted (MP-RAGE, TR = 2.4 s, 0.7 mm³ voxels) and BOLD contrast sensitive (gradient-echo EPI, multiband factor 8, TR = 0.72 s, 2 mm³ voxels) images from each participant. The HCP used sequences with left-to-right (LR) and right-to-left (RL) phase encoding, with a single RL and LR run on each day for two consecutive days for a total of four runs^{68 (link)}. MRI data were preprocessed as previously described^{62 (link)}. All HCP data are available at https://db.humanconnectome.org/.
Similar to the ABCD data, we extracted the timeseries from a total of 394 cortical and subcortical ROIs, correlated and Fisher z-transformed them. Data from the NIH Toolbox were correlated with each edge of the RSFC correlation matrix across participants. Across all NIH Toolbox subscales, the tails of the distributions of the resulting brain–behavioural phenotype correlations were compared to 100 subsampled ABCD brain–behavioural phenotype correlations (n = 877, matching HCP sample size). In Supplementary Fig. 8, we show the distributions of brain–behavioural phenotype correlations for ABCD and HCP data, for each NIH Toolbox subscale.