Replicability of proton MR spectroscopic imaging findings in mild traumatic brain injury: Implications for clinical applications

Chen, Anna M; Gerhalter, Teresa; Dehkharghani, Seena; Peralta, Rosemary; Adlparvar, Fatemeh; Gajdošík, Martin; Tordjman, Mickaël; Zabludovsky, Julia; Sheriff, Sulaiman; Ahn, Sinyeob; Babb, James S.; Bushnik, Tamara; Zarate, Alejandro; Silver, Jonathan; Im, Brian; Wall, Stephen P.; Madelin, Guillaume; Kirov, Ivan I.

doi:10.1016/j.nicl.2023.103325

Cited by 4 publications

(2 citation statements)

References 94 publications

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“…This approach is well suited to the study of TBI as there is increasing evidence that metabolite changes following TBI are diffuse in nature [ 6 , 24 , 28 , 37 ]. A global linear regression approach has been previously applied in adult mild TBI [ 6 , 32 , 38 ]. To our knowledge, this is the first study to apply a linear regression approach to examine global WM and GM metabolite changes following pediatric TBI and, using this approach, we identified robust differences in acute WM and GM NAA ratios between all groups with an exception between control and cMild/Moderate TBI for GM NAA/Cho.…”

Section: Discussionmentioning

confidence: 99%

White Matter Metabolite Ratios Predict Cognitive Outcome in Pediatric Traumatic Brain Injury

et al. 2023

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The prognostic ability of global white matter and gray matter metabolite ratios following pediatric traumatic brain injury (TBI) and their relationship to 12-month neuropsychological assessments of intelligence quotient (IQ), attention, and memory is presented. Three-dimensional proton magnetic resonance spectroscopic imaging (MRSI) in pediatric subjects with complicated mild (cMild), moderate, and severe TBI was acquired acutely (6–18 days) and 12 months post-injury and compared to age-matched typically developing adolescents. A global linear regression model, co-registering MRSI metabolite maps with 3D high-resolution magnetic resonance images, was used to identify longitudinal white matter and gray matter metabolite ratio changes. Acutely, gray matter NAA/Cr, white matter NAA/Cr, and white matter NAA/Cho ratios were significantly lower in TBI groups compared to controls. Gray matter NAA/Cho was reduced only in the severe TBI group. At 12 months, all metabolite ratios normalized to control levels in each of the TBI groups. Acute gray matter and white matter NAA ratios were significantly correlated to 12-month assessments of IQ, attention, and memory. These findings suggest that whole brain gray matter and white matter metabolite ratios reflect longitudinal changes in neuronal metabolism following TBI, which can be used to predict neuropsychological outcomes in pediatric subjects.

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Section: Discussionmentioning

confidence: 99%

White Matter Metabolite Ratios Predict Cognitive Outcome in Pediatric Traumatic Brain Injury

et al. 2023

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“…VDI is already in use by several groups and underlies the processing of data in multiple publications over the past several years [14][15][16][17][18][19][20] . To facilitate its widespread dissemination, the current manuscript describes the general philosophy behind the framework, and its main classes and the way they interact among themselves.…”

Section: Introductionmentioning

confidence: 99%

Visual Display Interface (VDI): A MATLAB Software Library For Simulating and Processing In-Vivo Magnetic Resonance Spectroscopy and Spectroscopic Imaging Data

Liu,

Oeltzschner,

Ronen

et al. 2023

Preprint

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We describe a new comprehensive and open-source MATLAB library, called the Visual Display Interface (VDI), designed to process, model, quantify and visualize magnetic resonance spectroscopy (MRS) and spectroscopic imaging (MRSI) data. The library focuses on three major strengths: promoting reproducible research by creating comprehensive data logging and reporting and identifying outlier datasets; seamlessly combining spectral and spatial processing of both single and multivoxel data; and offering a modern, object-oriented design. VDI handles a wide range of common tasks, including spectral and spatial transforms, built-in spectral fitting, absolute quantification, and running density-matrix simulations for coupled and uncoupled spin systems to generate appropriate basis sets and aid in sequence design. VDI interfaces with the Statistical Parameteric Mapping (SPM) toolbox to carry out tissue segmentation, calculate tissue fractions within voxels, derive mean metabolite values from regions of interest defined by anatomical or functional atlases, and perform linear regression for global white matter and gray matter metabolite concentrations. The library's workings are demonstrated for two tasks: (1) Pre processing, fitting and analysis of single voxel proton MRS data from healthy volunteers; and (2) Extracting region-specific metabolite concentrations from spectroscopic imaging data based on an existing cortical atlas in MNI space, and calculating average gray and white matter global concentrations using linear regression.

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An exploratory study on the association between blood-based biomarkers and subacute neurometabolic changes following mild traumatic brain injury

Visser,

de Koning,

Ciubotariu

et al. 2023

J Neurol

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Replicability of proton MR spectroscopic imaging findings in mild traumatic brain injury: Implications for clinical applications

Cited by 4 publications

References 94 publications

White Matter Metabolite Ratios Predict Cognitive Outcome in Pediatric Traumatic Brain Injury

White Matter Metabolite Ratios Predict Cognitive Outcome in Pediatric Traumatic Brain Injury

Visual Display Interface (VDI): A MATLAB Software Library For Simulating and Processing In-Vivo Magnetic Resonance Spectroscopy and Spectroscopic Imaging Data

An exploratory study on the association between blood-based biomarkers and subacute neurometabolic changes following mild traumatic brain injury

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