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3t mr750 general electric scanner

Manufactured by GE Healthcare
Sourced in United States

The 3T MR750 General Electric Scanner is a magnetic resonance imaging (MRI) system designed for clinical diagnostic use. It operates at a magnetic field strength of 3 Tesla, providing high-resolution imaging capabilities. The scanner employs advanced radio frequency (RF) and gradient technologies to generate detailed images of the body's internal structures.

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2 protocols using 3t mr750 general electric scanner

1

Neuroimaging Protocol for Cognitive Control

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Images were collected on a 3T MR750 General Electric Scanner (Waukesha, Wisconsin, USA) using a 32-channel head coil. 170 whole brain T*2 weighted echo-planar images were collected across four functional runs (TR=2000ms, TE=25, flip angle=60, field of view=96×96, slices=42/axial/3mm). For all participants structural images were collected using a structural magnetization-prepared rapid acquisition gradient echo (MPRAGE) sequence (TR=7.66, TE=3.42, flip angle=7, field of view=256×256, slices=176/sagittal/1mm).
All imaging analyses were conducted using Analysis of Functional Neuroimages (AFNI). All images were first preprocessed using afni.proc.py. Images were de-spiked, slice time corrected, co-registered, spatial smoothed with a 6mm full-width half maximum smoothing kernel, and warped to standard spaces. For motion correction, TR pairs with a Euclidean norm motion derivative that exceeded 1mm were censored (movement post-censoring: M[SD]=0.06[0.04]). Finally, at the subject level, a general linear model with 6 regressors time-locked to the stimulus onset was used to model trial condition (congruent or incongruent trials) and response type (correct, commission error, or omission error). Nuisance regressors included motion displacement along the x, y, and z axes as well as rotational movement (roll, pitch, and yaw).
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2

Automated Brain Morphometry Analysis

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All study participants underwent a brain MRI with a 3 T-MR750 General Electric scanner and an 8-channel head coil, with a recently described MRI protocol including a 3D T1-weighted MR image [42 (link)]. Freesurfer 7 was employed with the standard pipeline recon-all to automatically extract thickness and volume of 34 cortical regions for each hemisphere, and the volume of the subcortical regions caudate, putamen, globus pallidus, thalamus and cerebellum, divided into white and gray matter (WM, GM) [43 (link)]. All the segmentations performed by Freesurfer were visually inspected by a neuroradiologist, and images with inaccurate segmentations due to prominent movement artefacts (3 PSP-RS and 5 PSP-P patients) were excluded. The automated MRPI and MRPI 2.0 were calculated on 3D T1-weighted MR images using the previously described algorithm [29 (link)]. In 4 PSP-RS patients the algorithm failed and the MRPI and MRPI 2.0 were measured manually by an expert rater.
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