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3t magnetom prismafit scanner

Manufactured by Siemens
Sourced in Germany

The 3T MAGNETOM PrismaFit scanner is a magnetic resonance imaging (MRI) system designed by Siemens. It operates at a field strength of 3 Tesla, providing high-quality imaging capabilities. The scanner is engineered to deliver reliable and consistent performance for diagnostic purposes.

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5 protocols using 3t magnetom prismafit scanner

1

Multimodal Neuroimaging Protocol for Cognitive Studies

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MRI data were acquired on a Siemens 3T MAGNETOM PrismaFit scanner at the Donders Center for Cognitive Neuroimaging, using a 32-channel head coil. For anatomical reference, a high-resolution T1-weighted image was collected at the start of each session (3D MPRAGE, TR: 2300 ms, TI: 1100 ms, TE: 3 ms, flip angle: 8 degrees, FOV: 256 x 256 mm, 192 saggital slices, 1-mm isotropic voxels). B0 field inhomogeneity maps (TR: 653 ms, TE: 4.92 ms, flip angle: 60 degrees, FOV: 256 x 256 mm, 68 transversal slices, 2-mm isotropic voxels, interleaved slice acquisition) were acquired. Functional data were acquired using a multi-band accelerated gradient-echo EPI protocol, in 68 transversal slices covering the whole brain (TR: 1500 ms, TE: 38.60 ms, flip angle: 75 degrees, FOV: 210 x 210 mm, 2-mm isotropic voxels, multiband acceleration factor: 4, interleaved slice acquisition).
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2

Multimodal Neuroimaging Protocol for Cognitive Studies

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MRI data were acquired on a Siemens 3T MAGNETOM PrismaFit scanner at the Donders Center for Cognitive Neuroimaging, using a 32-channel head coil. For anatomical reference, a high-resolution T1-weighted image was collected at the start of each session (3D MPRAGE, TR: 2300 ms, TI: 1100 ms, TE: 3 ms, flip angle: 8 degrees, FOV: 256 x 256 mm, 192 saggital slices, 1-mm isotropic voxels). B0 field inhomogeneity maps (TR: 653 ms, TE: 4.92 ms, flip angle: 60 degrees, FOV: 256 x 256 mm, 68 transversal slices, 2-mm isotropic voxels, interleaved slice acquisition) were acquired. Functional data were acquired using a multi-band accelerated gradient-echo EPI protocol, in 68 transversal slices covering the whole brain (TR: 1500 ms, TE: 38.60 ms, flip angle: 75 degrees, FOV: 210 x 210 mm, 2-mm isotropic voxels, multiband acceleration factor: 4, interleaved slice acquisition).
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3

Functional MRI Acquisition and Preprocessing

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Functional MRI data was acquired in 6 runs of 11.9 min on a 3 T Magnetom Prisma Fit Scanner (Siemens Healthcare GmbH, Erlangen, Germany) at the Center for Cognitive Neuroscience Berlin (CCNB), using a 64 channel head coil. Four hundred and seventy‐five functional volumes were acquired per run using a T2*‐weighted gradient‐echo EPI multiband 1 sequence (SMS factor = 3), with interleaved acquisition order and whole brain coverage (TR = 1.5 s; TE = 33 ms; 2.5 × 2.5 × 2.5 mm3 voxel; matrix size = 80 × 80, FOV = 200 mm, flip angle = 70°; 48 slices; gap = 10%). Additionally, a T1‐weighted MPRAGE with 208 sagittal slices, TR = 1930 ms, TE = 3.52 ms, 0.8 × 0.8 × 0.8 mm3 voxel size was acquired.
FMRI data were pre‐processed with SPM12 (Wellcome Trust Centre for Neuroimaging, Institute for Neurology, University College London, UK). Functional data were realigned to the mean image, normalized to MNI space using unified segmentation, interpolated to 2 × 2 × 2 mm3 voxel size, spatially smoothed with an 8 mm FWHM Gaussian kernel, and temporally detrended (Macey et al., 2004 (link)).
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4

Functional MRI Acquisition and Preprocessing

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Functional MRI data was acquired in 6 runs of 11.9 min on a 3 T Magnetom Prisma Fit Scanner (Siemens Healthcare GmbH, Erlangen, Germany) at the Center for Cognitive Neuroscience Berlin (CCNB), using a 64 channel head coil. Four hundred and seventy‐five functional volumes were acquired per run using a T2*‐weighted gradient‐echo EPI multiband 1 sequence (SMS factor = 3), with interleaved acquisition order and whole brain coverage (TR = 1.5 s; TE = 33 ms; 2.5 × 2.5 × 2.5 mm3 voxel; matrix size = 80 × 80, FOV = 200 mm, flip angle = 70°; 48 slices; gap = 10%). Additionally, a T1‐weighted MPRAGE with 208 sagittal slices, TR = 1930 ms, TE = 3.52 ms, 0.8 × 0.8 × 0.8 mm3 voxel size was acquired.
FMRI data were pre‐processed with SPM12 (Wellcome Trust Centre for Neuroimaging, Institute for Neurology, University College London, UK). Functional data were realigned to the mean image, normalized to MNI space using unified segmentation, interpolated to 2 × 2 × 2 mm3 voxel size, spatially smoothed with an 8 mm FWHM Gaussian kernel, and temporally detrended (Macey et al., 2004 (link)).
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5

Brain MRI Characterization of Cerebrovascular Disease

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Participants underwent brain MRI on a Siemens 3T Tim Trio, 3T Biograph mMR, or 3T MAGNETOM PrismaFit scanner (Siemens Healthineer, Erlangen, Germany). Standard three-dimensional MP-RAGE (magnetization prepared rapid acquisition gradient echo) T1 (echo time/repetition time [TE/TR] = 2.86/1800 ms; inversion time [TI] = 1000 ms; flip angle = 8 degrees; acquired voxel resolution 1×1×1 mm, 0.48×0.48×1 mm voxel resolution after in-plane interpolation), fluid attenuated inversion recovery (FLAIR, TE/TR 93/9000 ms; TI, 2500 ms; 0.86×0.86 mm in-plane resolution, 3-mm slice thickness), and magnetic resonance angiography sequences were acquired. A board certified neurologist (P.K.) manually delineated WMH on the FLAIR images using Medical Image Processing, Analysis, and Visualization software (https://mipav.cit.nih.gov). To account for variation in brain volume, we normalized WMH to whole brain volume. We identified lacunar infarcts on FLAIR imaging and cerebral microhemorrhages or cortical superficial siderosis on susceptibility weighted imaging sequences. Magnetic resonance angiography was available in 36 of 42 participants to evaluate for stenosis of the intracranial arteries > 70%, which was absent in all cases.
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