Human neuroimaging data were acquired in a Trio 3.0 Tesla whole-body MRI scanner (Siemens Medical Systems, Iselin, NJ) using a 32-channel head coil. Functional data were acquired using a T2*-weighted echo-planar imaging (EPI) pulse sequence (TR: 2.56 s, TE: 30 ms, slice number: 48, voxel size: 3 × 3 × 3 mm). Anatomical images were acquired using a T1-weighted MPRAGE pulse sequence (TR:2300 ms, TE: 3.03 ms, 192 sagittal slices, voxel size: 1 × 1 × 1 mm). Preprocessing was performed using fMRIPrep 20.0.2 (Esteban et al., 2019 (link)). Functional images were corrected for slice timing, realigned, co-registered with the structural image, normalized into MNI space, and smoothed with an 8-mm full width half-maximum Gaussian kernel.
Trio 3.0 tesla whole body mri scanner
Manufactured by Siemens
The Trio 3.0 Tesla whole-body MRI scanner is a medical imaging device manufactured by Siemens. It is capable of producing high-resolution images of the human body by utilizing a 3.0 Tesla magnetic field. The Trio 3.0 Tesla scanner is designed for whole-body imaging and can be used for various diagnostic and research purposes.
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4 protocols using trio 3.0 tesla whole body mri scanner
1
Human Neuroimaging via 3T fMRI
2
Human Neuroimaging via 3T fMRI
3
Multimodal Neuroimaging Data Preprocessing
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Neuroimaging data were acquired using three different MRI settings. Data from 64 participants were acquired in a Trio 3.0 Tesla whole-body MRI scanner (Siemens Medical Systems) using an eight-channel head coil. Functional data were acquired using a T2*-weighted echo-planar imaging (EPI) pulse sequence (TR: 3.0 sec, TE: 30 msec, slice number: 45, voxel size: 3 × 3 × 3 mm). Data from 180 participants were acquired in the same Trio 3.0 Tesla MRI scanner using a 32-channel head coil. Functional data were acquired using a T2*-weighted EPI pulse sequence (TR: 2.56 sec, TE: 30 msec, slice number: 48, voxel size: 3 × 3 × 3 mm). Imaging data from 97 participants were acquired on a Siemen's Prisma 3.0T scanner equipped with a 32-channel head coil. Functional data were acquired using a T2*-weighted EPI pulse sequence (TR: 3.0 sec, TE: 30 msec, slice number: 48, voxel size: 2.5 × 2.5 × 2.5 mm). High-resolution anatomical images were acquired for image registration.
Preprocessing was performed using the default pipeline of fMRIPrep 20.0.2—a standard toolbox for automatic fMRI data preprocessing (Esteban et al. 2019 (link)). Functional images were corrected for slice timing, realigned, coregistered with the structural image, normalized into the Montreal Neurological Institute (MNI) space, and smoothed with a 6-mm full-width half-maximum Gaussian kernel.
Preprocessing was performed using the default pipeline of fMRIPrep 20.0.2—a standard toolbox for automatic fMRI data preprocessing (Esteban et al. 2019 (link)). Functional images were corrected for slice timing, realigned, coregistered with the structural image, normalized into the Montreal Neurological Institute (MNI) space, and smoothed with a 6-mm full-width half-maximum Gaussian kernel.
4
Multimodal Neuroimaging Protocol Standardization
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Neuroimaging data were acquired using three different MRI settings. Data from 119 participants were acquired in a Trio 3.0 Tesla whole-body MRI scanner (Siemens Medical Systems) using an 8-channel head coil. Functional data were acquired using a T2*-weighted echo-planar imaging (EPI) pulse sequence (repetition time [TR]: 3.0 s, echo time [TE]: 30 ms, slice number: 45, voxel size: 3 × 3 × 3 mm). Data from 386 participants were acquired in the same Trio 3.0 Tesla MRI scanner using a 32-channel head coil. Functional data were acquired using a T2*-weighted EPI pulse sequence (TR: 2.56 s, TE: 30 ms, slice number: 48, voxel size: 3 × 3 × 3 mm). Imaging data from 96 participants were acquired on a Siemen’s Prisma 3.0T equipped with a 32-channel head coil. Functional data were acquired using a T2*-weighted EPI pulse sequence (TR: 3.0 s, TE: 30 ms, slice number: 48, voxel size: 2.5 × 2.5 × 2.5 mm). High-resolution anatomical images were acquired for image registration.
Preprocessing was performed using the default pipeline of fMRIPrep 20.0.2—a standard toolbox for automatic fMRI data preprocessing (53 (link)). Functional images were corrected for slice timing, realigned, coregistered with the structural image, normalized into the Montreal Neurological Institute (MNI) space and smoothed with a 6-mm full-width half-maximum Gaussian kernel.
Preprocessing was performed using the default pipeline of fMRIPrep 20.0.2—a standard toolbox for automatic fMRI data preprocessing (53 (link)). Functional images were corrected for slice timing, realigned, coregistered with the structural image, normalized into the Montreal Neurological Institute (MNI) space and smoothed with a 6-mm full-width half-maximum Gaussian kernel.
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