Trio mri

Manufactured by Siemens

Sourced in Germany, United States

The Trio MRI is a magnetic resonance imaging (MRI) system developed by Siemens. It is designed to provide high-quality medical imaging for healthcare professionals. The core function of the Trio MRI is to generate detailed images of the body's internal structures, which can be used for diagnostic and treatment purposes.

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Lab products found in correlation

32 channel head coil, by Siemens (1 mentions) 32 channel receive only head coil, by Siemens (1 mentions) 12 channel head coil, by Siemens (1 mentions) 32 channel matrix coil, by Siemens (1 mentions)

33 protocols using trio mri

Multimodal Brain Imaging Acquisition Protocol

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All structural and functional images were acquired using a 3.0-T Siemens Trio MRI scanner (Siemens Healthcare, Germany) at the Seoul National University Brain Imaging Center. All images were acquired using a 32-channel head coil. A series of 37 slices parallel to the anterior-posterior commissure plane, with a thickness of 3.4 mm, were collected using a T2*-weighted spin echo-planar image (6 (link)) sequence [repetition time (TR) = 2,200 ms, echo time (TE) = 30 ms, matrix = 2.5 × 2.5 × 3.4 mm³, field of view (FoV) = 210 mm, and flip angle = 90°]. T1-weighted multiband high-resolution images were also acquired for structural analysis with the following sequence: [TR = 2,400 ms, TE = 2.19 ms, matrix = 0.8 mm isotropic voxel, FoV = 272 mm, and flip angle 8°].

Moon H., Nam G, & Hur J.W. (2022). Neural correlates of affective theory of mind in medication-free nonsuicidal self-injury: An fMRI study. Frontiers in Psychiatry, 13, 850794.

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Functional MRI of Iterated Prisoner's Dilemma

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A T1-weighted structural image and blood-oxygenation-level-dependent (BOLD) functional MRI images were collected for each subject using a 3 Tesla Siemens Trio MRI scanner (Siemens Medical System, Malvern, PA, USA).
High-resolution T1-weighted images were acquired using a 3D magnetization-prepared rapid gradient-echo (MPRAGE) sequence with a GRAPPA factor of 2. The T1 scan protocol, optimized for 3 Tesla, used the following imaging parameters: a repetition time/inversion time/echo time (TR/TI/TE) of 2600/900/3.02 ms, a flip angle of 8°, a volume of view of 256×256×176 mm³, a matrix of 256×256×176, and isotropic spatial resolution of 1.0×1.0×1.0 mm³, one average. Total T1 scan time was approximately 5 minutes.
During fMRI scanning, subjects performed 30 rounds of a sequential-choice, iterated PD game with both putative human partners and computer partners. T2*-weighted images were collected using an Echo-Planar Imaging (EPI) sequence for BOLD fMRI. EPI images were collected in an interleaved fashion with the following imaging parameters selected to minimize susceptibility and distortion artifacts in the orbitofrontal cortex: TR=2000 ms, TE=28 ms, matrix=64 X64, FOV=224mm, in-plane resolution 3.5mm, slice thickness=2.5mm, and 34 axial slices with a gap of 1.05mm in between.

Rilling J.K., Chen X., Chen X, & Haroon E. (2018). Intranasal oxytocin modulates neural functional connectivity during human social interaction. American journal of primatology, 80(10), e22740.

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Multimodal Brain Imaging of Iterated Prisoner's Dilemma

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A T1-weighted structural image and blood-oxygenation-level-dependent (BOLD) functional MRI images were collected from each subject using a 3 Tesla Siemens Trio MRI scanner (Siemens Medical System, Malvern, PA, USA).
High-resolution T1-weighted images were acquired using a 3D magnetization-prepared rapid gradient-echo (MPRAGE) sequence with a GRAPPA factor of 2. The T1 scan protocol, optimized for 3 Tesla, used the following imaging parameters: a repetition time/inversion time/echo time (TR/TI/TE) of 2600/900/3.02 ms, a flip angle of 8°, a volume of view of 256 × 256 × 176 mm³, a matrix of 256 × 256 × 176, and isotropic spatial resolution of 1.0 × 1.0 × 1.0 mm³, one average. Total T1 scan time was approximately 5 min.
T2*-weighted images were collected using an Echo-Planar Imaging (EPI) sequence for BOLD fMRI. EPI images were collected in an interleaved fashion with the following imaging parameters selected to minimize susceptibility and distortion artifacts in the orbitofrontal cortex: TR = 2000 ms, TE = 28 ms, matrix = 64 × 64, FOV = 224 mm, in-plane resolution 3.5 mm, slice thickness = 2.5 mm, and 34 axial slices with a gap of 1.05 mm in between. During fMRI scanning, subjects performed 30 rounds of a sequential-choice, iterated PD game with putative same sex human partners. The total fMRI scan time was approximately 48 min (12 min per run).

Chen X., Gautam P., Haroon E, & Rilling J.K. (2017). Within vs. between-subject effects of intranasal oxytocin on the neural response to cooperative and non-cooperative social interactions. Psychoneuroendocrinology, 78, 22-30.

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Multimodal MRI Protocol for Iterated PD Game

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A T1-weighted structural image and blood-oxygenation-level-dependent (BOLD) functional MRI images were collected for each subject using a 3 Tesla Siemens Trio MRI scanner (Siemens Medical System, Malvern, PA, USA).
High-resolution T1-weighted images were acquired using a 3D magnetization-prepared rapid gradient-echo (MPRAGE) sequence with a GRAPPA factor of 2. The T1 scan protocol, optimized for 3 Tesla, used the following imaging parameters: a repetition time/inversion time/echo time (TR/TI/TE) of 2600/900/3.02 ms, a flip angle of 8°, a volume of view of 256×256×176 mm³, a matrix of 256×256×176, and isotropic spatial resolution of 1.0×1.0×1.0 mm³, one average. Total T1 scan time was approximately 5 minutes.
T2*-weighted images were collected using an Echo-Planar Imaging (EPI) sequence for BOLD fMRI. EPI images were collected in an interleaved fashion with the following imaging parameters selected to minimize susceptibility and distortion artifacts in the orbitofrontal cortex: TR=2000 ms, TE=28 ms, matrix=64 X64, FOV=224mm, in-plane resolution 3.5mm, slice thickness=2.5mm, and 34 axial slices with a gap of 1.05mm in between. During fMRI scanning, subjects performed 30 rounds of a sequential-choice, iterated PD game with both putative human partners and computer partners.

Chen X., Hackett P.D., DeMarco A.C., Feng C., Stair S., Haroon E., Ditzen B., Pagnoni G, & Rilling J.K. (2016). Effects of oxytocin and vasopressin on the neural response to unreciprocated cooperation within brain regions involved in stress and anxiety in men and women. Brain imaging and behavior, 10(2), 581-593.

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Brain Imaging Acquisition for IBS and HC

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Structural brain images from IBS and HCs were obtained from the NIH‐funded Pain and Interoception Imaging Network (PAIN).¹⁶ Parts of the dataset have been studied and published previously, references¹⁰, ¹², ¹⁴ are of relevance to the present study. The brain images were acquired using a 3.0 T Siemens Trio MRI (Siemens Healthineers AG, Erlangen, Germany) at the G. Oppenheimer Center for Neurobiology of Stress and Resilience at the University of California, Los Angeles between 2006 and 2017. IBS diagnoses were based on Rome III or Rome IV criteria depending on time of inclusion. Structural scans were obtained from six different acquisition sequences using a high‐resolution 3‐dimensional T1‐weighted, sagittal magnetization‐prepared rapid gradient echo protocol as described in Table 1. Acquisition protocols were only included if they were used with both IBS and HCs. A general linear model controlling for age indicated that protocol 1 and 2 were similar to each other but had lower total gray matter volumes than the remaining protocols. Fisher's two‐sided exact test indicated that the distribution of groups across the protocols was significantly different, p = 0.05 (Protocol 1: 33 HCs, 33 IBS; Protocol 2: 105 HCs, 183 IBS). As such, we controlled for protocol in the subsequent statistical analyses.

Grinsvall C., Ryu H.J., Van Oudenhove L., Labus J.S., Gupta A., Ljungberg M., Törnblom H., Mayer E.A, & Simrén M. (2020). Association between pain sensitivity and gray matter properties in the sensorimotor network in women with irritable bowel syndrome. Neurogastroenterology and Motility, 33(4), e14027.

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Multimodal Neuroimaging of Resting-State Brain Activity

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Patients underwent a pre-operative whole-brain structural MRI scans using a 3.0 Tesla Siemens Trio MRI. A 32-channel phased-array head coil system was used to acquire high-resolution T1-weighted images (slice thickness = 1 mm; no gap; number of slices = 240; TR = 2,300 ms, TE = 3 ms, matrix = 256 × 256; FOV = 244 mm; voxel size 1 × 1 × 1 mm). Resting state fMRI data were collected using a single-shot T2^*-weighted gradient-echo EPI sequence (slice thickness = 4 mm; no gap; number of slices = 32, interleaved order; TR = 2,000 ms; TE = 29 ms; flipangle = 80°; matrix = 80 × 80; voxel size = 3 × 3 × 4 mm³, 110 volumes). During the resting state, participants were instructed to keep still with the eyes closed but not fall asleep, and to not focus on any thoughts, as far as possible. Healthy participants underwent the same neuroimaging protocol.

Sala-Padro J., Gifreu-Fraixino A., Miró J., Rodriguez-Fornells A., Rico I., Plans G., Santurino M., Falip M, & Càmara E. (2022). Verbal Learning and Longitudinal Hippocampal Network Connectivity in Temporal Lobe Epilepsy Surgery. Frontiers in Neurology, 13, 854313.

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Stoplight Task fMRI Acquisition and Preprocessing

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Imaging data were collected using a 3T-Siemens Trio MRI scanner with a 16-channel matrix coil. High-resolution structural images (T1-MPRAGE) were acquired (repetition time or TR = 1.9 s; echo time or TE = 2.3 ms; matrix size = 256 × 256; field of view or FOV = 230 mm; flip angle or FA = 90°; voxel size = 0.9 × 0.45 × 0.45 mm). T2^∗-weighted echo-planar images (EPI) were acquired during the Stoplight task (38 slices with 0.3 mm inter-slice gap; TR = 2 s; TE = 25 ms; matrix = 92 × 92; FOV = 230 mm; FA = 90°; voxel size = 2.5 × 2.5 mm; slice thickness = 3 mm). Preprocessing for the pattern analysis was carried out using FEAT (fMRI Expert Analysis Tool) Version 6.00, part of FSL (FMRIB’s Software Library; Smith et al., 2004 (link)). The following pre-statistics processing was applied; motion correction using MCFLIRT (Jenkinson et al., 2002 (link); mean FD = 0.098 mm, SD = 0.042 mm, range: 0.041–0.246 mm); non-brain removal using BET (Smith, 2002 (link)); grand-mean intensity normalization of the entire 4D dataset by a single multiplicative factor; 128-s highpass filter.

Lee T.H., Qu Y, & Telzer E.H. (2019). Neural Representation of Parental Monitoring and Links to Adolescent Risk Taking. Frontiers in Neuroscience, 13, 1286.

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Brain Imaging Protocols for IBS and HC

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HCs and IBS female subjects were scanned on a 3.0T Siemens Trio MRI after a sagittal scout was used to position the head. Structural scans were obtained from 1 of 6 different acquisition sequences using a high-resolution 3-dimensional T1-weighted, sagittal magnetization-prepared rapid gradient echo protocol as described in supplemental Table 1. Acquisition protocols only were included if they were used with both IBS and HC subjects. A general linear model controlling for age indicated that protocol 1 and 2 were similar to each other but had lower total gray matter volumes than the remaining protocols (see supplemental Figure 1, for graph of parameter estimates and 95% confidence intervals). Based on these results, we classified protocols into protocol A (1, 2) and protocol B (3, 4, 6, 7). Fisher’s two-sided exact test indicated that the distribution of groups across the protocols was not significantly different (Protocol 1, 48 HC, 36 IBS; Protocol 2, 60 HCs, 72 IBS). Furthermore, there was no evidence that the distribution of the protocols in the test and training samples for each group was unbalanced (HC, p=.52; IBS, p=.49).

Labus J.S., Van Horn J.D., Gupta A., Alaverdyan M., Torgerson C., Ashe-McNalley C., Irimia A., Hong J.Y., Naliboff B., Tillisch K, & Mayer E.A. (2015). Multivariate morphological brain signatures predict chronic abdominal pain patients from healthy control subjects. Pain, 156(8), 1545-1554.

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Multimodal MRI Acquisition and Analysis

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Baseline and 1-year follow-up MRI data were acquired on a 3-T Siemens Trio MRI. Diffusion MRI data were acquired along 64 noncolinear directions at a b-value of 1,000 s/mm² and a 2 × 2 × 2 mm voxel size. A high-resolution T1-weighted anatomical scan was acquired for coregistration of the diffusion data. For MRI acquisition parameters and preprocessing steps, see the online supplementary Materials.

Voets N.L., Alvarez I., Qiu D., Leatherday C., Willie J.T., Sotiropoulos S., Gleichgerrcht E., Bonilha L., Pedersen N.P., Kadom N., Saindane A.M., Gross R.E, & Drane D.L. (2019). Mechanisms and Risk Factors Contributing to Visual Field Deficits following Stereotactic Laser Amygdalohippocampotomy. Stereotactic and Functional Neurosurgery, 97(4), 255-265.

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fMRI Data Acquisition and Preprocessing

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We collected our fMRI data on a 3-T Siemens Trio MRI scanner utilizing a 64-channel head-coil. A gradient-echo, echo-planar “fast imaging” (EPI) sequence were used to acquire functional images, with the following sequence parameters: 60 horizontal slices (2 × 2-mm in-plane voxel resolution and 2-mm slice thickness plus 10% gap), repetition time (TR) 1,000 ms; echo time (TE) 30 ms. Eight identical fMRI runs of 292 images (6 min each) were acquired. A 3D high-resolution, unified and denoised T1-weighted MP2RAGE image across the entire brain was also acquired and used as anatomical reference for subsequent pre-processing in SPM12 (TR = 4,000 ms, TE = 2.93 ms, FA = 6°, 176 cube matrix, voxel size = 1-mm). Functional imaging data were pre-processed and analyzed using SPM12, implemented in MATLAB. Structural T1-scans were co-registered to the average of the spatially realigned functional slices. Next, an inbuilt segmentation routine was applied to register each structural T1-image to the standard MNI template in MNI space. These transform parameters elicited from segmentation were subsequently applied to all realigned images, resliced to a 2 × 2 × 2-mm resolution and smoothed with 6-mm full-width-at-half-maximum (FWHM) isotropic Gaussian kernel.

Kim J.J., Kent K.M., Cunnington R., Gilbert P, & Kirby J.N. (2020). Attachment styles modulate neural markers of threat and imagery when engaging in self-criticism. Scientific Reports, 10, 13776.

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