Mr750 3.0 tesla scanner

Manufactured by GE Healthcare

The MR750 3.0 Tesla scanner is a magnetic resonance imaging (MRI) system manufactured by GE Healthcare. It has a 3.0 Tesla magnetic field strength, which allows for high-quality imaging of the body's internal structures. The system is designed to provide detailed and accurate images for diagnostic and research purposes.

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Lab products found in correlation

8 channel head coil, by GE Healthcare (1 mentions) 12 channel head coil, by GE Healthcare (1 mentions) 32 channel head coil, by GE Healthcare (1 mentions) Signa excite 3.0 tesla, by GE Healthcare (1 mentions)

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MR750 (286 citations) MR750 scanner (64 citations) 3 Tesla scanner (20 citations) 3.0 Tesla scanner (16 citations) MR750 3 Tesla scanner (8 citations) 3.0 Tesla (6 citations) Discovery MR750 3.0 Tesla scanner (6 citations) MR750 3.0 Tesla MRI scanner (3 citations) 3.0 Tesla MR750 (2 citations) Scanners (2 citations)

13 protocols using mr750 3.0 tesla scanner

High-resolution fMRI of Speech Regions

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Data were recorded on a GE MR750 3.0 Tesla scanner using an 8-channel head coil and a high-resolution echo-planar imaging (EPI) sequence yielding contiguous isotropic 2 × 2 × 2 mm voxels (110 × 110 matrix, FOV = 22, TE = 28 ms, flip angle = 90°, TR = 2.2 s). 36 slices were acquired for each volume in an interleaved ascending sequence to avoid signal bleeding between adjacent slices. The volume was centered on STG and spanned from the inferior colliculus (IC) to inferior frontal gyrus (IFG). A high-resolution 1 × 1 × 1 mm voxel-size T1-weighted MRI (FSPGR) scan (TR/TE: 2,089/3.18 ms, FOV: 256) was acquired for each participant to inform structure-function mapping.

Overath T, & Paik J.H. (2021). From acoustic to linguistic analysis of temporal speech structure: Acousto-linguistic transformation during speech perception using speech quilts. NeuroImage, 235, 117887.

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Neuroimaging Data Collection Using 3T MRI

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Neuroimaging data were collected using a General Electric MR750 3.0 Tesla scanner equipped with an 8-channel parallel imaging system. We used a T₂*-weighted spiral-in sensitivity encoding sequence (SENSE factor = 2), with slices parallel to the axial plane connecting the anterior and posterior commissures [repetition time (TR): 1580 ms; echo time (TE): 30 ms; matrix: 64 × 64; field of view (FOV): 243 mm; voxel size: 3.8 × 3.8 × 3.8 mm; 37 axial slices; flip angle: 70 degrees]. The first eight volumes of each run were removed to allow for magnetic stabilization. We additionally acquired whole-brain high-resolution anatomic scans (T1-weighted FSPGR sequence; TR: 7.58 ms; TE: 2.93 ms; matrix: 256 × 256; FOV: 256 mm; voxel size: 1 × 1 × 1 mm; 206 axial slices; flip angle: 12 degrees) to allow for coregistration and normalization.

Utevsky A.V., Smith D.V., Young J.S, & Huettel S.A. (2017). Large-Scale Network Coupling with the Fusiform Cortex Facilitates Future Social Motivation. eNeuro, 4(5), ENEURO.0084-17.2017.

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Investigating Working Memory with SIRP

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High-resolution T1-weighted images and the SIRP were acquired on a General Electric MR750 3.0 tesla scanner (see supplementary materials for neuroimaging acquisition parameters). The SIRP, shown to have good reliability [30 (link)], was used to investigate WM [31 ]. The task comprised of (1) encoding trials, where volunteers were instructed to memorize sets of letters; (2) retrieval trials, where volunteers indicated whether they had seen the letters previously; and (3) rest trials (see supplementary materials for details and Supplementary Fig. 1 for a paradigm schematic).

Borgan F., O’Daly O., Veronese M., Reis Marques T., Laurikainen H., Hietala J, & Howes O. (2019). The neural and molecular basis of working memory function in psychosis: a multimodal PET-fMRI study. Molecular Psychiatry, 26(8), 4464-4474.

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Multimodal Neuroimaging with GE MR750 3T Scanner

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Images were acquired with a General Electric MR750 3.0 Tesla scanner equipped with an 8-channel parallel imaging system. To collect the neuroimaging data, we utilized a T₂*-weighted spiral-in sensitivity encoding sequence (acceleration factor = 2), with slices parallel to the axial plane connecting the anterior and posterior commissures (repetition time (TR): 1580 ms; echo time (TE): 30 ms; matrix: 64 × 64; field of view (FOV): 243 mm; voxel size: 3.8 × 3.8 × 3.8 mm; 37 interleaved axial slices acquired in ascending order; flip angle: 70 degrees). The first eight volumes were discarded prior to preprocessing the functional data. To facilitate coregistration and normalization of the functional data, we also acquired whole-brain high-resolution anatomical scans (T₁-weighted FSPGR sequence; TR: 7.58 ms; TE: 2.93 ms; matrix: 256 × 256; FOV: 256 mm; voxel size: 1 × 1 × 1 mm; 206 axial slices; flip angle: 12 degrees).

Young J.S., Smith D.V., Coutlee C.G, & Huettel S.A. (2015). Synchrony between sensory and cognitive networks is associated with subclinical variation in autistic traits. Frontiers in Human Neuroscience, 9, 146.

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Optimized BOLD Neuroimaging Acquisition

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Neuroimaging data were collected using a General Electric MR750 3.0 Tesla scanner equipped with an 8-channel parallel imaging system. Images sensitive to blood-oxygenation-level-dependent (BOLD) contrast were acquired using a T₂*-weighted spiral-in sensitivity encoding sequence (acceleration factor = 2), with slices parallel to the axial plane connecting the anterior and posterior commissures [repetition time (TR): 1580 ms; echo time (TE): 30 ms; matrix: 64 × 64; field of view (FOV): 243 mm; voxel size: 3.8 × 3.8 × 3.8 mm; 37 axial slices; flip angle: 70 degrees]. We chose this sequence to ameliorate susceptibility artifacts (Pruessmann et al., 2001 (link); Truong and Song, 2008 (link)), particularly in ventral frontal regions that characterize a hub of the default mode network (Raichle et al., 2001 (link); Fox et al., 2005 ; Fox and Raichle, 2007 (link)). Prior to preprocessing these functional data, we discarded the first eight volumes of each run to allow for magnetic stabilization. To facilitate coregistration and normalization of these functional data, we also acquired whole-brain high-resolution anatomical scans (T₁-weighted FSPGR sequence; TR: 7.58 ms; TE: 2.93 ms; matrix: 256 × 256; FOV: 256 mm; voxel size: 1 × 1× 1 mm; 206 axial slices; flip angle: 12 degrees).

Smith D.V., Utevsky A.V., Bland A.R., Clement N., Clithero J.A., Harsch A.E., Carter R.M, & Huettel S.A. (2014). Characterizing Individual Differences in Functional Connectivity Using Dual-Regression and Seed-Based Approaches. NeuroImage, 95, 1-12.

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Multimodal Neuroimaging Protocol for Brain Analysis

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Imaging data were collected using a GE MR 750 3.0 Tesla scanner with a GE 8-channel head coil. Each scan session began with a high resolution T1-weighted Magnetization Prepared Rapid Gradient Echo (MPRAGE) sequence (time to echo [TE] = 3.4 ms; time to repetition [TR] = 7 ms; flip angle = 7 degrees; matrix size = 256 × 256; voxel size = 1 mm × 1 mm × 1 mm; 124 slices). The functional images were acquired with a single-shot interleaved gradient-recalled echo planar imaging sequence to cover the whole brain (TE = 35 ms; TR = 2000 ms; flip angle = 77 degrees; matrix size = 72 × 72; voxel size = 3 mm × 3 mm × 3 mm; 41 axial slices).

Zhang H., Japee S., Nolan R., Chu C., Liu N, & Ungerleider L.G. (2016). Face-selective regions differ in their ability to classify facial expressions. NeuroImage, 130, 77-90.

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Functional Neuroimaging with 3T MRI

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Neuroimaging data were collected using a General Electric MR750 3.0 Tesla scanner equipped with an 8-channel parallel imaging system. Images sensitive to blood- oxygenation-level-dependent (BOLD) contrast were acquired using a T₂*-weighted spiral-in sensitivity encoding sequence (acceleration factor = 2), with slices parallel to the axial plane connecting the anterior and posterior commissures [repetition time (TR): 1580 ms; echo time (TE): 30 ms; matrix: 64 × 64; field of view (FOV): 243 mm; voxel size: 3.8 × 3.8 × 3.8 mm; 37 axial slices; flip angle: 70 degrees]. We chose this sequence to ameliorate susceptibility artifacts (Pruessmann et al., 2001 ; Truong and Song, 2008 ). Prior to preprocessing these functional data, we discarded the first eight volumes of each run to allow for magnetic stabilization. To facilitate co-registration and normalization of these functional data, we also acquired whole-brain high-resolution anatomical scans (T₁-weighted FSPGR sequence; TR: 7.58 ms; TE: 2.93 ms; matrix: 256 × 256; FOV: 256 mm; voxel size: 1 × 1 × 1 mm; 206 axial slices; flip angle: 12 degrees).

Murty V.P., Shermohammed M., Smith D.V., Carter R.M., Huettel S.A, & Adcock R.A. (2014). Resting State Distinguish Human Ventral Tegmental Area from Substantia Nigra. NeuroImage, 100, 580-589.

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Diffusion MRI Acquisition Protocol

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All diffusion images were acquired on a General Electric MR750 3.0 Tesla scanner with a 12-channel head coil. Diffusion scans and their reverse phase images were acquired using spin-echo EPI (TR/TE = 11 650/70 ms, slice thickness = 2.0 mm, field of view = 256 mm, matrix size = 128 × 128, 72 slices). The reverse phase data included b0 images only and were collected to allow for distortion correction. Diffusion data were collected along 60 diffusion directions with a b-value of 1500 s/mm².

Mackes N.K., Mehta M.A., Beyh A., Nkrumah R.O., Golm D., Sarkar S., Fairchild G., Dell’Acqua F, & Sonuga-Barke E.J. (2022). A Prospective Study of the Impact of Severe Childhood Deprivation on Brain White Matter in Adult Adoptees: Widespread Localized Reductions in Volume But Unaffected Microstructural Organization. eNeuro, 9(6), ENEURO.0188-22.2022.

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High-resolution T1-weighted MRI Protocol

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All MRI data were acquired on the same scanner, a GE Healthcare MR750 3.0 Tesla scanner with a 32-channel head coil. Each scanning session included a single high-resolution, T1-weighted structural imaging sequence (MPRAGE; sagittal acquisition; 176 slices; 1 mm³ isotropic voxels; 256 × 256 matrix; flip angle = 7°; repetition time [TR] = 7.7 ms; echo time [TE] = 3.42 ms; inversion time [TI] = 425 ms).

Sylvester C.M., Barch D.M., Harms M.P., Belden A.C., Oakberg T.J., Gold A.L., White L.K., Benson B.E., Troller-Renfree S., Degnan K.A., Henderson H.A., Luby J.L., Fox N.A, & Pine D.S. (2015). Early Childhood Behavioral Inhibition Predicts Cortical Thickness in Adulthood. Journal of the American Academy of Child and Adolescent Psychiatry, 55(2), 122-129.e1.

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3T MRI brain morphometry protocol

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High-resolution, three-dimensional spoiled gradient-recalled at steady-state (SPGR) anatomic images were acquired on a General Electric (Waukesha, WI) Signa Excite 3.0 Tesla short bore scanner equipped with a quad split quadrature transmit/receive head coil (TE = 3.9 ms; TR = 9.5 ms; inversion recovery (IR) preparation time = 450 ms; flip angle = 12°; number of excitations (NEX) = 2; slice thickness = 1.0 mm; FOV = 24 cm; resolution = 256 × 224). A scanner upgrade took place near the end of the final retest period. Six ε4+ participants and one ε4- had their third scan conducted on a GE MR750 3.0 Tesla scanner (TE = 3.9 ms; TR = 9.6 ms; inversion recovery (IR) preparation time = 450 ms; flip angle = 12°; number of excitations (NEX)=1; slice thickness = 1.0 mm; FOV = 24 cm; resolution=256×224). A between-scanner comparison showed no systematic differences. Whole brain and regional volumes were derived from T1- weighted SPGR images using the longitudinal stream in Freesurfer v.5.1 software [23 (link)].

Reiter K., Nielson K.A., Durgerian S., Woodard J.L., Smith J.C., Seidenberg M., Kelly D.A, & Rao S.M. (2017). Five-year longitudinal brain volume change in healthy elders at genetic risk for Alzheimer’s disease. Journal of Alzheimer's disease : JAD, 55(4), 1363-1377.

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