Achieva dstream 3t scanner

Participants' structural and functional MR images were acquired using a Philips Achieva dStream 3T scanner and a 32-channel head coil. An ad-hoc acquisition protocol was implemented. Blood-Oxygen Level Dependent (BOLD) images were recorded with T2-weighted Echo-Planar Images (EPI) acquired with the multiband sequence. Functional images were collected as oblique-axial scans aligned with the anterior commissure–posterior commissure (AC–PC) line with the following parameters: 128 volumes per run, 45 slices, TR/TE = 2000/21.4 ms, flip angle = 90°, field of view = 240 × 240 mm², slice thickness = 3 mm, voxel size = 3 × 3 × 3 mm³, multiband factor = 2. We acquired functional images continuously with no gaps between volumes. Therefore, the acquisition time (TA) is directly related to the repeat time (TR). Specifically, the TA with N = 45 slices is 1956 ms [TR − (TR/N)]. Structural T1-weighted images were collected using a 3D T1-TFE sequence (180 sagittal slices, TR/TE = 8.1/3.7 ms, flip angle = 8°, field of view 240 × 240 mm, slice thickness = 1 mm, voxel size = 1 × 1 × 1 mm³).

All participants underwent MRI scanning at Expertise center for epilepsy and sleep disorders Kempenhaeghe (Heeze, the Netherlands) using a Philips Achieva dStream 3T scanner (Philips Healthcare, Best, the Netherlands). The anatomical T1-weighted images were acquired with a 3D turbo field echo sequence with the following parameters: 1mm isotropic voxel resolution (256 x 256 x 180 matrix), repetition time (TR) = 8.1 ms, echo time (TE) = 3.7 ms, flip angle = 8°C, compressed SENSE accelerating factor = 4.6. The fMRI images were acquired using an MBME echo-planar imaging sequence with a 2.29 x 2.29 x 2.70 mm3 voxel resolution (96 x 96 x 51 matrix), 380 volumes, TR = 1350 ms, number of echoes = 3 at TE = 11.3, 31.8, 52.3 ms, flip angle = 73°C, multiband factor 3, SENSE accelerating factor 2.5. During MRI acquisition, a photoplethysmographic unit was placed on a finger and a respiratory belt was placed on the abdomen to externally measure cardiac and respiratory signals, respectively.