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Allegra 3t scanner

Manufactured by Siemens
Sourced in Germany

The Allegra 3T scanner is a magnetic resonance imaging (MRI) system manufactured by Siemens. It operates at a magnetic field strength of 3 Tesla, providing high-resolution imaging capabilities for medical diagnostic purposes.

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29 protocols using allegra 3t scanner

1

Multimodal Neuroimaging of Episodic Memory

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All participants completed a scanning session of approximately 75 minutes, comprised of structural, diffusion tensor imaging (DTI), and functional (fMRI) sequences during the episodic memory paradigm.48 (link),49 (link) DTI data were acquired on a Siemens 3T Allegra scanner using echo-planar imaging (EPI) sequences (matrix= 128×128×34, FOV 200, slice thickness 3mm) consisting of seven transaxial images collected in 6 gradient directions at a b-value of 850 with one b=0 weighted image. Structural scans acquired during these sessions included axial T2 weighted images (39 contiguous 3mm slices, TR = 6440 ms, TE = 73 ms, 256 × 256 matrix, FOV = 200mm, flip angle = 150°) and a sagittal 3-D MPRAGE sequence (224 contiguous 0.78 mm slices, TR = 1680ms, TE = 2.48ms, 256×256 matrix, FOV = 200mm, flip angle = 8°).
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2

fMRI Study of Face and Scene Perception

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We used fMRI data from 18 subjects (localizer data from Turk-Browne et al., 2012 (link)), who viewed sequences of face and scene images in alternating blocks, while performing male/female and indoor/outdoor judgment tasks, respectively. Each subject completed one functional run that contained 12 blocks (6 involving faces and 6 involving scenes). Each block contained 12 images from one category and lasted for 18 s, followed by blank fixation period of 12 s between blocks.
Data were acquired using a Siemens 3T Allegra scanner, with a T2*-weighted EPI sequence: volumes = 224, slices = 26, TR = 1500 ms, TE = 28 ms, matrix = 64, field of view = 224 mm, flip angle = 64°, and thickness = 5 mm (3.5 x 3.5 x 5 mm voxels). Data were preprocessed prior to FCMA with corrections for head motion and slice-time acquisition, spatial smoothing (5 mm), and high-pass temporal filtering (128 s period). Brains were anatomically aligned to MNI space using standard linear registration methods (Jenkinson et al., 2002 (link)) and masked to remove non-brain voxels. After alignment, every brain contained 34,470 voxels.
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3

Healthy Adult fMRI and MRS Protocol

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Participants were 65 healthy adults (36 males; age range: 17 – 49 years; mean ± SD of age: 30.5 ± 9.2 years) pooled from two fMRI studies. Written informed consent, approved by the Institutional Review Board of the National Institute on Drug Abuse, was obtained from each participant prior to study enrollment. All participants had no major medical conditions, no history of neurological or psychiatric disorders, no history of substance abuse, and were not on medication that would affect neurotransmitter levels or cortical inhibition and excitation during the study participation. The 35 participants in Cohort 1 and the 30 participants in Cohort 2 both underwent a high-resolution anatomical scan and n-back WM fMRI scans on a Siemens 3T Allegra scanner (Cohort 1) or Trio scanner (Cohort 2) (Hu et al., 2013 (link); Liang et al., 2015 ). In addition, the 30 participants from Cohort 2 also received single-voxel proton MRS scans for GABA and glutamate quantification at the PCC/PCu prior to the WM fMRI scan.
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4

Functional MRI Acquisition Protocol

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Imaging data were acquired using a Siemens 3T Allegra Scanner. A gradient-echo echo-planar imaging sequence sensitive to blood oxygenation level dependent (BOLD) contrast (T2*) was used. Acquisition parameters were TR=1.5s TE=25ms, flip angle=70°, 64 × 64 acquisition matrix with field of view 20 × 20 cm. Twenty-nine 4mm-thick axial slices with no gap were collected, aligned to the anterior and posterior commissure (AC-PC line), generating 3.125 × 3.125 × 4mm voxels, which covered the entire cortex and most of the cerebellum. A series of magnetization-prepared rapid gradient echo (MPRAGE) images were acquired.
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5

Functional MRI Imaging Protocol

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Imaging data were acquired using a Siemens 3T Allegra Scanner. A gradient-echo echo-planar imaging sequence sensitive to blood oxygenation level dependent (BOLD) contrast (T2*) was used. Acquisition parameters were TR = 1.5 s TE = 25 ms, flip angle = 70°, 64 × 64 acquisition matrix with field of view 20 cm × 20 cm. Twenty-nine 4 mm-thick axial slices with no gap were collected, aligned to the anterior and posterior commissure (AC-PC line), generating 3.125 mm × 3.125 mm × 4 mm voxels, which covered the entire cortex and most of the cerebellum. A series of magnetization-prepared rapid gradient echo (MPRAGE) images were acquired.
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6

Stereotactic Neurosurgical Targeting Workflow

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The anatomical location of the STN and proper positioning of the recording chamber to access it were estimated from structural MRI scans (Siemens 3T Allegra Scanner, voxel size of 0.6 mm). An interactive 3D software system (Cicerone) was used to visualize MRI images, define the target location, and predict trajectories for microelectrode penetrations (Miocinovic et al., 2007 (link)). Electrophysiological mapping was performed with penetrations spaced 1 mm apart. The boundaries of brain structures were identified based on standard criteria including relative location, neuronal spike shape, firing pattern, and responsiveness to behavioral events (e.g., movement, reward). By aligning microelectrode mapping results (electrophysiologically characterized X–Y–Z locations) with structural MRI images and high-resolution 3-D templates of individual nuclei derived from an atlas (Martin and Bowden, 1996 (link)), we were able to gauge the accuracy of individual microelectrode penetrations and determine chamber coordinates for the STN.
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7

Microelectrode Mapping to Locate Substantia Nigra

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The anatomic location of the SNc and proper positioning of the recording chamber to access it were estimated from structural MRI scans (Siemens 3T Allegra Scanner, voxel size: 0.6 mm). An interactive 3-D software system (Cicerone) was used to visualize MRI images, define the target location, and predict trajectories for microelectrode penetrations (Miocinovic et al., 2007 (link)). Electrophysiological mapping was performed with penetrations spaced 1 mm apart. The boundaries of brain structures were identified on the basis of standard criteria including relative location, neuronal spike shape, firing pattern, and responsiveness to behavioral events (e.g., movement, reward). By aligning microelectrode mapping results (electrophysiologically characterized X-Y-Z locations) with structural MRI images and high-resolution 3-D templates of individual nuclei derived from an atlas (Martin and Bowden, 1996 (link)), we were able to gauge the accuracy of individual microelectrode penetrations and determine chamber coordinates for the SNc [for anatomical details, see Pasquereau and Turner (2013) ].
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8

fMRI Protocol for Visual Stimuli

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fMRI data were collected using a Siemens 3T Allegra scanner at the Krasnow Institute for Advanced Study at George Mason University. Visual stimuli were displayed on a rear projection screen and viewed by participants via a mirror mounted on the head coil. The following parameters were used to acquire functional gradient echo echoplanar images in the axial orientation: 33 slices (4 mm thick, 1 mm gap), repetition time (TR)/echo time (TE) = 2000/30 ms, flip angle = 70 degrees, 64 × 64 matrix with 3.8 × 3.8 mm in-plane resolution, field of view = 240 mm. In each run 200 volumes were collected. Two T1 whole-head high resolution anatomical structural scans were gathered using a three-dimensional, magnetization-prepared, rapid-acquisition gradient echo (MPRAGE) pulse sequence (160 1 mm-thick slices, 256 × 256 matrix, field of view 260 mm, 0.94 mm2 voxels, TR/TE = 2300/3 ms).
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9

Propofol-Assisted Brain Imaging Protocol

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To minimize movement, all participants were scanned under propofol sedation administered and monitored by a pediatric anesthesiologist. Images were acquired on a Siemens 3 T Allegra scanner at the Icahn School of Medicine at Mount Sinai. Functional images were collected using a standard echo-planar sequence (repetition time = 2.0 s, echo time = 25 ms, field of view = 220 mm, flip angle = 60°, matrix size = 64 × 64, voxel size = 3.4 × 3.4 × 4 mm, 34 slices). High-resolution, T1-weighted anatomical images used for registration were acquired with a 3D MPRAGE sequence (repetition time = 2.5 s, echo time = 4.38 ms, field of view = 210 mm, flip angle = 8°, matrix size = 256 × 256, voxel size = 0.82 × 0.82 × 0.82 mm, 208 slices).
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10

Precise STN Targeting through MRI-Guided Microelectrode Mapping

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The anatomical location of the STN and proper positioning of the recording chamber to access it were estimated from structural MRI scans (Siemens 3 T Allegra Scanner, voxel size of 0.6 mm). An interactive 3D software system (Cicerone) was used to visualize MRI images, define the target location and predict trajectories for microelectrode penetrations (Miocinovic et al., 2007 (link)). Electrophysiological mapping was performed with penetrations spaced 1 mm apart. The boundaries of brain structures were identified based on standard criteria including relative location, neuronal spike shape, firing pattern, and responsiveness to behavioral events (e.g. movement, reward). By aligning microelectrode mapping results (electrophysiologically characterized X-Y-Z locations) with structural MRI images and high resolution 3-D templates of individual nuclei derived from an atlas (Martin and Bowden, 1996 (link)), we were able to gauge the accuracy of individual microelectrode penetrations and determine chamber coordinates for the STN.
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