All the neuroimaging scans were acquired using the same scanner and analysed as described previously (Ancelin et al., 2019 ). Briefly, a 1.5 T GE Signa Imaging system (General Electric Medical Systems, Milwaukee, WI) was used to acquire a contiguous AC-PC aligned axial IR-prepared SPGR T1-weighed sequence for volumetric estimations (TR = 12, TE = 2.8, IT = 6000, matrix, size = 256 x 256, pixel spacing = 0.9375 x 0.9375 mm, NEX = 1, slice thickness = 1.0 mm). Regional reconstruction and segmentation was performed with the FreeSurfer 5.3 image analysis suite (http://surfer.nmr.mgh.harvard.edu/ ). Twenty-two regions of interest (ROIs) defined using Desikan’s Atlas (Desikan et al., 2006 ) were selected based on prevailing neurocircuitry models of PTSD (Admon et al., 2013 ; Kuhn & Gallinat, 2013 ; Li et al., 2014 ; Logue et al., 2018 ; Meng et al., 2014 ; Menon, 2011 ; O’Doherty et al., 2015 ). Total brain volume (grey+white matter) was computed using the segment m-file of the SPM5 software (Wellcome Department of Cognitive Neurology, UK).
Ge signa imaging system
Manufactured by GE Healthcare
The GE Signa Imaging system is a magnetic resonance imaging (MRI) device designed for clinical diagnostic use. It generates detailed images of the body's internal structures using strong magnetic fields and radio waves. The Signa Imaging system provides healthcare professionals with the necessary tool to visualize and analyze anatomical information for medical assessment and diagnosis.
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Lab products found in correlation
4 protocols using ge signa imaging system
1
Neuroimaging Protocol for PTSD Research
2
MRI-based Brain Segmentation and Volumetry
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Participants underwent MRI using the same scanner at the same examination center (Gui de Chauliac Neurology Hospital, Montpellier, France). A 1.5 T GE Signa Imaging system (General Electric Medical Systems, Milwaukee, WI) was used to acquire a contiguous AC-PC aligned axial IR-prepared SPGR T1weighed sequence for volumetric estimations (TR=12, TE=2.8, IT=6000, matrix, size=256 ×256, pixel spacing=0.9375 ×0.9375 mm, NEX=1, slice thickness=1.0 mm). Regional reconstruction and segmentation were performed with the FreeSurfer 5.3 image analysis suite (http://surfer.nmr.mgh.harvard.edu/) as previously described [17] . For this study, 43 cortical and subcortical regions of interest (ROIs) were defined using the Desikan Atlas (sum of the left and right hemispheres) [18] .
Using the segmentation tool of the SPM5 software (Wellcome Department of Cognitive Neurology, London, United Kingdom), the intracranial volume (gray + white matter + cerebrospinal fluid) was computed for each participant and was used as covariate in the models to minimize the effect due to global brain size differences.
Using the segmentation tool of the SPM5 software (Wellcome Department of Cognitive Neurology, London, United Kingdom), the intracranial volume (gray + white matter + cerebrospinal fluid) was computed for each participant and was used as covariate in the models to minimize the effect due to global brain size differences.
3
MRI-based Volumetric Estimation Protocol
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At baseline, participants underwent MRI at the Gui De Chauliac Hospital (Montpellier, France). A 1.5T GE Signa Imaging system (General Electric Medical Systems, Milwaukee, WI) was used to acquire a contiguous AC-PC aligned axial IR-prepared SPGR T1-weighed sequence for volumetric estimations (TR=12, TE=2.8, IT=6000, matrix, size=256x256, pixel spacing=0.9375x0.9375mm, NEX=1, slice thickness=1.0mm).
4
Volumetric MRI Acquisition Protocol
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Anatomical scans were acquired in the period 1999-2001. A 1.5 T GE Signa Imaging System (General Electric Medical Systems, Milwaukee, WI) was used to acquire a contiguous AC-PC aligned axial IR-prepared SPGR T1-weighted sequence for volumetric estimations (TR=12, TE=2.8, IT=600, matrix size=256×256, pixel spacing=0.9375×0.9375 mm, NEX=1, slice thickness=1.0 mm).
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