Resting state fMRI data reported here were obtained at the Center for Cognitive and Neurobiological Imaging (S2–3), and the Richard M. Lucas Center for Imaging at Stanford University (S1). Scanning was performed pre-operatively in S1–2, and postoperatively for S3 due to clinical factors. For S2–3, resting-state EPI sequence scans were acquired on a 3T GE scanner (30 slices, 4.0 mm isotropic voxels, TR = 2000 ms, FOV = 100 mm, TE = 30 ms, flip angle = 77 deg, bandwidth = 127.68 kHz) with a 32-channel head coil (duration = 8 minutes and 10 minute respectively). For S1, resting-state spiral sequence scans were obtained on a 3T GE scanner (30 slices, 4.0 mm isotropic voxels, TR=2000 ms, FOV= 220 mm, TE = 30 ms, flip angle = 77 deg, bandwidth = 127.68 kHz) with a 32-channel head coil (duration = 6 minutes).
32 channel head coil
Manufactured by GE Healthcare
Sourced in United States
The 32-channel head coil is a specialized piece of medical imaging equipment designed for use in magnetic resonance imaging (MRI) systems. It serves as the receiver component that collects the radio frequency (RF) signals from the patient's head during the MRI scan process. The 32-channel configuration allows for the simultaneous acquisition of multiple data streams, which can enhance image quality and reduce scan times.
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Lab products found in correlation
3t mr750w system, by GE Healthcare (9 mentions)
Mr750 scanner, by GE Healthcare (6 mentions)
Discovery mr750, by GE Healthcare (5 mentions)
750 scanner, by GE Healthcare (5 mentions)
Discovery mr750 3t scanner, by GE Healthcare (5 mentions)
Signa scanner, by GE Healthcare (4 mentions)
Mr750w mri scanner, by GE Healthcare (3 mentions)
3t scanner, by GE Healthcare (3 mentions)
Discovery 750w, by GE Healthcare (3 mentions)
8 channel head coil, by GE Healthcare (2 mentions)
Mri scanner, by GE Healthcare (2 mentions)
750 3t scanner, by GE Healthcare (2 mentions)
Mr750w scanner, by GE Healthcare (2 mentions)
Discovery 750w 3.0t, by GE Healthcare (2 mentions)
Mr750, by GE Healthcare (2 mentions)
Mr750 mri scanner, by GE Healthcare (2 mentions)
3 t general electric scanner, by GE Healthcare (2 mentions)
Ge 3t mr750w, by GE Healthcare (2 mentions)
Prisma scanner, by Siemens (2 mentions)
Signa 3 tesla scanner, by GE Healthcare (2 mentions)
148 protocols using 32 channel head coil
1
Resting-state fMRI Acquisition Protocols
2
Multimodal Brain Imaging Protocol
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Magnetic resonance (MR) images were acquired at the Alberta Children’s Hospital Diagnostic Imaging Suite with a 3.0 Tesla General Electric MR750w MRI scanner (GE Healthcare, Waukesha, WI, USA) and a 32-channel head coil. High-resolution anatomical T1-weighted fast spoiled gradient echo (FSPGR) images were acquired in the axial plane [minimum of 166 slices, no skip; voxel size = 1.0 mm isotropic; repetition time (TR) = 8.5 ms; echo time (TE) = 3.2 ms; flip angle = 11o; matrix = 256 × 256]. T2-weighted images were acquired in the axial plane [36 slices, no skip; voxel size = 0.45 × 0.45 mm; slice thickness = 3.6 mm; TR/TE = 6187/80 ms; matrix = 512 × 512]. Diffusion-weighted images (DWI) were acquired in 32 non-collinear directions (b = 750 s/mm2, 3 volumes using b = 0 s/mm2, voxels = 2.2 mm isotropic, duration = 6 min, TR/TE = 11.5 s/70 ms).
3
Structural Brain Alterations in Mental Fatigue
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Structural MRI data was acquired on a 3T General Electric scanner equipped with a 32-channel head coil. High resolution T1-weighted images were collected using a 3D fast spoiled gradient echo sequence covering 180 slices with 1 mm thickness. Acquisition details included: TR = 8.2 ms; TE = 3.2 ms; flip angle 12°; field of view 25 × 25 cm. Freesurfer version 5.3 was used for brain segmentation. For the subcortical measurements volume (mm3) was used, and for the cortical segmentation cortical thickness (mm) from the Destrieux atlas (Destrieux et al., 2010 (link)). Regions of interests (ROI) were defined as areas in which structural alterations have been observed in patients with ED, as compared to healthy controls, based on previous studies (Blix et al., 2013 (link), Savic, 2015 (link), Savic et al., 2018 (link)), while also being outlined in neuroanatomical models of mental fatigue (Chaudhuri and Behan, 2000 (link), Dobryakova et al., 2013 (link)). For the subcortical segmentations, we extracted the bilateral caudate and putamen volumes. For cortical thickness, we combined the bilateral superior and middle frontal gyri to produce a dorsolateral PFC ROI; the bilateral orbital gyri and sulci and gyrus rectus to produce a ventromedial PFC ROI; and the anterior and middle-anterior cingulate gyri and sulci to produce an ACC ROI.
4
Pediatric Diffusion Imaging Protocol
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All imaging was conducted using the same General Electric 3T MR750w system and 32-channel head coil at the Alberta Children’s Hospital, Calgary, Canada. Children were scanned either while awake and watching a movie of their choice or while sleeping without sedation. Foam padding was used to minimize head motion. Prior to scanning, parents were provided with detailed information of MRI procedures and were invited to an optional practice MRI session in an MRI mock scanner to familiarize the child with the scanning environment (Thieba et al., 2018 (link)). Whole-brain diffusion weighted images were acquired in 4:03 min using single shot spin echo echo-planar imaging sequence with: 1.6 mm × 1.6 mm × 2.2 mm resolution (resampled to 0.78 mm × 0.78 mm × 2.2 mm on scanner), TR = 6,750 ms; TE = 79 ms, 30 gradient encoding directions at b = 750 s/mm2, and 5 interleaved images without diffusion encoding at b = 0 s/mm2.
5
Multi-Modal Brain Imaging Protocol
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All subjects were examined using a 3 T whole-body MRI scanner (GE Signa-HDxt, Milwaukee, WI, USA) with a 32-channel head coil. The protocol included the following sequences: three-dimensional (3D) T1-weighted fast spoiled gradient echo for volume measurements (repetition time (TR): 8.22 ms; echo time (TE): 3.22 ms; inversion time (TI): 450 ms; flip angle 12°; 1.0 mm sagittal slices; 0.94 × 0.94 mm2 in-plane resolution); 3D fluid-attenuated inversion recovery (FLAIR; TR: 8000 ms; TE: 128 ms; TI: 2343 ms; 1.2 mm sagittal slices; 0.98 × 0.98 mm2 in-plane resolution) for white matter (WM) lesion detection; and diffusion tensor imaging (DTI; TR: 7200 ms; TE: 83 ms; flip angle 90°; 57 axial slices with an isotropic 2.0 mm resolution) with 5 volumes without directional weighting and 30 volumes with non-collinear diffusion gradients (b-value: 1000 s/mm2) to assess WM integrity. To correct for echo planar imaging (EPI) induced artifacts, two scans with reversed phase-encode blips were acquired for DTI. Furthermore, RS fMRI (eyes closed; EPI, 202 volumes, TR: 2200 ms; TE: 35 ms; flip angle 80 degrees; 3 mm contiguous axial slices; 3.3 × 3.3 mm2 in-plane resolution) and task-related (i.e. task-state) fMRI (IPS paradigm; EPI, 460 volumes, TR: 2000 ms; TE: 30 ms; flip angle 80 degrees; 4 mm contiguous axial slices; 3.3 × 3.3 mm2 in-plane resolution) were performed to measure sFC and dFC.
6
Multiecho fMRI Preprocessing Protocol
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Scanning was performed using a General Electric Discovery MR750 3.0-T scanner, with a 32-channel head coil. Scan acquisition parameters are described in SI Appendix, Supplementary Methods . fMRI data were preprocessed using AFNI (68 (link)) (RRID: SCR_005927) to reduce noise and facilitate across-subject comparisons. Preprocessing included both standard and multiecho preprocessing using multiecho independent components analysis (69 (link)) as described in SI Appendix, Supplementary Methods .
7
Functional MRI of Brain Activity
8
Multimodal MRI Imaging Protocol for Brain Volumetry
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MR imaging was performed on a whole body 3 T MRI-scanner (GE Discovery, Milwaukee, WI, USA) using a 32-channel head coil. The protocol included a three-dimensional (3D) T1-weighted fast spoiled gradient echo scan (FSPGR; repetition time (TR) = 8.22 ms, echo time (TE) = 3.22 ms, inversion time (TI) = 450 ms, flip angle 12°, 1.0 mm sagittal slices with 0.94 × 0.94 mm2 in-plane resolution) and a 3D fluid-attenuated inversion recovery (FLAIR; TR = 8000 ms; TE = 128 ms; TI = 2343 ms; 1.2 mm sagittal slices; 0.98 × 0.98 mm2 in-plane resolution).
White matter lesions were automatically segmented on the FLAIR image and filled on the 3D-T1 images according to previously published methods.43 (link),44 (link) FSL’s Sienax (fsl.fmrib.ox.ac.uk) was used to obtain volumes of white and grey matter (WMV, GMV) and FIRST was used to obtain total deep grey matter volume, thalamic volume and right and total hippocampal volume. All volumes were normalized for head size.
White matter lesions were automatically segmented on the FLAIR image and filled on the 3D-T1 images according to previously published methods.43 (link),44 (link) FSL’s Sienax (fsl.fmrib.ox.ac.uk) was used to obtain volumes of white and grey matter (WMV, GMV) and FIRST was used to obtain total deep grey matter volume, thalamic volume and right and total hippocampal volume. All volumes were normalized for head size.
9
Multimodal MRI Acquisition for ABCD Study
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ABCD images were acquired using Siemens Prisma, Philips, or GE 750 3 T scanners with a 32-channel head coil. Detailed acquisition parameters have been previously described in the literature (Casey et al., 2018 (link)). Scan sessions included a high-resolution T1-weighted scan, diffusion weighted images, T2-weighted spin echo images, resting-state fMRI, and task-based fMRI. Functional images were collected through 60 slices in the axial plane using echo-planar imaging sequence with the following parameters: TR = 800 ms, TE = 30 ms, flip angle = 52°, voxel size = 2.4 m㎥, multiband slice acceleration factor = 6.
Participants completed up to four runs of 5-minute resting-state fMRI scans. ABCD sites with Siemens scanners used Framewise Integrated Real-time MRI Monitoring (FIRMM; (Dosenbach et al., 2017 (link)), which monitors head motion in real-time and allows for the discontinuation of resting-state data collection after three runs if 12.5 min of low-motion data had been collected.
Participants completed up to four runs of 5-minute resting-state fMRI scans. ABCD sites with Siemens scanners used Framewise Integrated Real-time MRI Monitoring (FIRMM; (Dosenbach et al., 2017 (link)), which monitors head motion in real-time and allows for the discontinuation of resting-state data collection after three runs if 12.5 min of low-motion data had been collected.
10
Resting-State fMRI Analysis Protocol for ABCD Study
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