Functional MRI images were collected with a Phillips Intera 3.0T. using a standard SENSE head coil and a T2* sensitive echo planar imaging (EPI) sequence (96 × 96 matrix, TR 2000 ms., TE 30 ms., FA 80°, 34 slices, 2.3 mm × 2.3 mm voxel size, 3-mm thick transverse slices). During five encoding sessions 275 sequential images were acquired. During scanning, stimuli were projected on a screen at the front-end of the scanner-table and observed via a mirror mounted on the head coil. The participant’s head was fixed by foam and they wore earplugs to reduce scanner noise. The behavioral responses were collected by an MR-compatible four-button box (Lumitouchtm). After the functional scans, a high-resolution T1-weighted structural scan was collected (256 × 256 matrix, TR 12 ms, TE 5ms, FOV 24 cm, 68 slices, 1 mm slice thickness). The respiratory signal was measured by an MR compatible air-filled respiration-belt placed around the waist and sampled at 500 Hz. The respiratory belt was an integrated part of the Phillips scanner and the measurements obtained are linearly related to the expansion of the belt. Before the analysis, we down-sampled the respiratory signal to 10 Hz using a 100 ms sliding average.
Intera 3.0 t
Manufactured by Philips
Sourced in Germany
The Intera 3.0 T is a magnetic resonance imaging (MRI) system manufactured by Philips. It operates at a static magnetic field strength of 3.0 Tesla. The core function of the Intera 3.0 T is to generate high-quality images of the human body for diagnostic and clinical purposes.
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Lab products found in correlation
4 protocols using intera 3.0 t
1
Functional MRI Acquisition and Preprocessing
2
Multimodal MRI Datasets for Validation
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Finally, we used MR images from three databases: the IXI database of the Imperial College of London (https://brain-development.org/ixi-dataset/ ); the Autism Brain Imaging Data Exchange (ABIDE) database (http://fcon_1000.projects.nitrc.org); the SchizConnect database (http://schizconnect.org ). The IXI database contains structural T1-weighted images collected in participants with age ranging between 20 and 86 years, using either a Philips Intera 3.0 T or a Philips Gyroscan Intera 1.5 T MRI system. For our validation, we extracted a total of 40 MR images: (a) 10 from young participants (age 20–35 years), acquired with the 3.0 T scanner; (b) 10 from young participants (age 20–35 years), acquired with the 1.5 T scanner; (c) 10 from elderly participants (age 60–75 years), acquired with the 3.0 T scanner; (d) 10 from elderly participants (age 60–75 years), acquired with the 1.5 T scanner. The ABIDE database contains structural T1-weighted images collected in patients with autism spectrum disorder (ASD); we specifically extracted MR images from 10 participants (age 18–25), collected using a Philips Achieva 3.0 T MRI system. The SchizConnect database contains structural T1-weighted images collected in patients with schizophrenia; we specifically extracted MR images from 10 participants (age 19–66), collected using a Siemens Trio Tim 3.0 T MRI system.
3
MRI Data Acquisition and Preprocessing
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The MRI data acquisition and preprocessing protocols have been previously published (MacQueen et al., 2019 (link)). Briefly, 3 T images were obtained using four different scanners at six sites: Discovery MR750 3.0 T (GE Healthcare, Little Chalfont, Buckinghamshire, UK), Signa HDxt 3.0 T (GE Healthcare, Little Chalfont, Buckinghamshire, UK), TrioTim 3.0 T (Siemens Healthcare, Erlangen, Germany), and Intera 3.0 T (Philips Healthcare, Best, Netherlands). Structural T1-weighted images were acquired using a whole-brain turbo gradient echo sequence with the following ranges of parameters: acquisition time = 3:30–9:50 min, repetition time (TR) = 6.4–1760 ms, echo time (TE) = 2.2–3.4 s, flip angle = 8–15 degrees, inversion time (TI) = 450–950 ms, field of view (FOV) = 220–256 mm, acquisition matrix = 256x256 – 512x512, 176–192 contiguous slices at 1 mm thickness with voxel dimensions of 1 mm isotropic. For an initial quality assurance step, raw images were manually checked for artifacts and efforts were made to re-scan participants as necessary, as permitted by study timeline.
4
Multimodal Imaging Protocol for Brain Connectivity
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High-resolution (1 mm 3 isotropic) 3-dimensional isotropic T1-weighted scans and resting-state fMRI data were collected at all sites according to the protocol published elsewhere [27] . The resting-state fMRI scans were acquired using a whole-brain T2 * -weighted blood-oxygen-level-dependent echo planar imaging sequence. The following scanner models were used for data collection: Signa HDxt 3.0 T (GE Healthcare), Discovery MR750 3.0 T (GE (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Healthcare), MAGNETOM Trio (Siemens Healthcare), and Intera 3.0 T (Philips Healthcare). Acquisition parameters are provided in Table 1. Instructions and support materials were standardized across sites [27] .
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