Two different task-fMRI datasets collected from 475 subjects from the Human Connectome Project (HCP) Young Adult study6 (link),16 (link) were used in this paper. The tasks chosen were emotion and gambling. These data are publicly available from the ConnectomeDB database https://db.humanconnectome.org . All data were acquired on a customized Siemens 3 T Connectome Skyra scanner with the following parameters: task-fMRI was obtained with 2 mm isotropic voxels with TR = 720 ms, TE = 33.1 ms. Here emotion processing task was carried out with two runs of 2:16 min with 176 frames per each run. Gambling task was continued for 3:12 mins with 253 frames per run for two runs75 (link),76 (link).
3 t connectome skyra scanner
Manufactured by Siemens
Sourced in United States
The 3-T connectome-Skyra scanner is a magnetic resonance imaging (MRI) system manufactured by Siemens. It operates at a magnetic field strength of 3 Tesla, which allows for high-resolution imaging of the human brain and its neural connections. The scanner is designed to capture detailed anatomical and functional data, enabling researchers and clinicians to study the brain's structure and connectivity.
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Lab products found in correlation
8 protocols using 3 t connectome skyra scanner
1
Task-fMRI Analysis of Emotion and Gambling
2
High-Resolution 3T MRI Brain Imaging
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Magnetic resonance imaging was conducted on a Siemens 3 T Connectome Skyra scanner with a 32-channel head coil and a "body" transmission coil designed by Siemens. The scanner was located at Washington University. T1-weighted data were obtained by means of a high-resolution anatomical imaging sequence with the following parameters: MP-RAGE; TR = 2400 ms; TE = 2.14 ms; flip angle = 8°; 256 slices; matrix size = 224 × 224; resolution = 0.7 mm × 0.7 mm × 0.7 mm; acquisition time = 7 min and 40 s.
3
Resting-state fMRI in HCP 100 Cohort
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The resting-state functional magnetic resonance imaging (rfMRI) data of 82 subjects (age range: 22–35; 45 females) were recruited in this study. The sample was selected from the HCP 100 unrelated datasets (https://db.humanconnectome.org ) with the criteria that respiratory, cardiac, and head movement data are available in all runs (rfMRI_REST1_LR, rfMRI_REST1_RL, rfMRI_REST2_LR, and rfMRI_REST2_RL). Eighteen subjects lacking these data were excluded. Remaining subjects were the same as those in the previous study7 (link), facilitating the comparison between functional organizations of the LAI and RAI. The HCP scanning protocol was approved by the local Institutional Review Board at Washington University in St. Louis. All methods were carried out in accordance with relevant guidelines and regulations. Informed consent was obtained from all subjects. All participants were scanned on a customized Siemens 3-T connectome-Skyra scanner. The imaging parameters used to collect the rfMRI data were as follows: TR = 720 ms; TE = 33.1 ms; flip angle = 52°; 2 mm isotropic voxels (FOV = 208 × 180 mm; 72 slices); multiband factor = 8; echo spacing = 0.58 ms; bandwidth (BW) = 2290 Hz/px; volumes = 1200. Full details on the HCP datasets have been described by Van Essen and colleagues62 (link).
4
Resting-State fMRI Protocol for HCP
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Structural (T1 and T2 images, required for preprocessing functional neuroimaging data) and functional MRI data were collected at Washington University on the Siemens 3 T Connectome Skyra scanner using a multi-band sequence. The structural images were 0.7 mm isotropic. The rs-fMRI data were 2 mm isotropic with TR = 0.72 s. Full details of the acquisition parameters for the HCP data can be found elsewhere73 (link). Two sessions of rs-fMRI data were collected on consecutive days for each subject, and each session consisted of one or two runs. The length of each rs-fMRI scan was 14.4 min (1200 frames). Here, the analyses were restricted to individuals for whom the left–right phase-encoding scans for the rs-fMRI session were completed and available. For rs-fMRI data acquisition, participants were asked to lie with eyes open, with a “relaxed” fixation on a white cross (on a dark background), think of nothing in particular, and not fall asleep. Details of the data collection can be found elsewhere74 (link). Details about behavioral measures including PSQI can be found in HCP S1200 Data Dictionary(https://db.humanconnectome.org/data/projects/HCP_1200 ) and75 (link).
5
Resting-State and Task-Based fMRI in HCP
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The 1,003 HCP participants were scanned on a 3-T connectome-Skyra scanner (Siemens). We used one resting-state fMRI acquisition of approximately 15 min acquired on the same day, with eyes open with relaxed fixation on a projected bright cross-hair on a dark background as well as data from the seven tasks. The HCP website (http://www.humanconnectome.org/ ) provides the full details of participants, the acquisition protocol and preprocessing of the data for both resting state and the seven tasks. Below we have briefly summarized these.
6
High-Quality MRI and fMRI Dataset for Neuroimage Analysis
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Minimally pre-processed MRI data were downloaded from ConnectomeDB1 (Van Essen et al., 2013 (link)). The dataset included high-quality DW data (1.25 mm isotropic resolution, b = 1000, 2000, 3000 s/mm2, 90 isotropically distributed directions/b-value and 18 b0 images), high-quality rs-fMRI data (2 mm isotropic resolution, TR/TE = 720/33.1 ms, 1200 volumes) and 3DT1-weighted images (0.7 mm isotropic resolution resampled at the same resolution of DW data) of 10 healthy subjects [3 males/7 females; 22–35 years (30.6 ± 4.1 years)] acquired using a customized Siemens 3T Connectome Skyra scanner with a 32-channel receive head coil.
7
Multimodal MRI Diffusion Protocol for HCP
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We used data from the HCP, randomly selecting images for 100 unrelated participants (49 females, age mean ± SD: 28.79 ± 3.67). Data were acquired on a customized Siemens 3 T Connectome Skyra scanner at Washington University in St. Louis, MO, USA, using a multishell protocol for the diffusion weighted imaging with the following parameters: 1.25-mm3 voxel size; repetition time (TR) = 5520 ms; echo time (TE) = 89.5 ms; field of view (FOV) of 210 mm by 180 mm; 270 directions with b = 1000, 2000, 3000 s/mm2 (90 per b value); and 18 b = 0 volumes. Structural T1-weighted data were acquired with 0.7-mm3 voxels, TR = 2400 ms, TE = 2.14 ms, and an FOV of 224 mm by 224 mm (40 (link), 63 (link)). A total of 100 participants were used because of the computational burden of running multiple different models for each participant’s network.
8
HCP Resting-State fMRI and Cognitive Tasks
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The 1003 HCP participants were scanned using a 3-T connectome-Skyra scanner (Siemens).
One session performed on the same day included resting state fMRI acquisition lasting approximately 15 min, with eyes open and adopting a relaxed fixation on a projected bright cross on a dark background. The other sessions comprised seven different cognitive tasks. The full data set containing all the details about the participants, the study protocol, and the preprocessing of the data for all tasks and rest sessions can be obtained at the HCP website ( http://www.humanconnectome.org/ ).
One session performed on the same day included resting state fMRI acquisition lasting approximately 15 min, with eyes open and adopting a relaxed fixation on a projected bright cross on a dark background. The other sessions comprised seven different cognitive tasks. The full data set containing all the details about the participants, the study protocol, and the preprocessing of the data for all tasks and rest sessions can be obtained at the HCP website ( http://www.humanconnectome.org/ ).
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