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

Author:

Berger Luke1,Holshouser Barbara2,Nichols Joy G.3,Pivonka-Jones Jamie3,Ashwal Stephen34,Bartnik-Olson Brenda2

Affiliation:

1. School of Medicine, Loma Linda University, Loma Linda, CA 92354, USA

2. Department of Radiology, Loma Linda University Health, Loma Linda, CA 92354, USA

3. Department of Pediatrics, Loma Linda University Health, Loma Linda, CA 92354, USA

4. Division of Child Neurology, Loma Linda University Health, Loma Linda, CA 92354, USA

Abstract

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.

Funder

National Institute of Health

Publisher

MDPI AG

Subject

Molecular Biology,Biochemistry,Endocrinology, Diabetes and Metabolism

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