The aims of this study were to evaluate longitudinal metabolite changes in traumatic brain injury (TBI) subjects and determine whether early magnetic resonance spectroscopic imaging (MRSI) changes in discrete brain regions predict 1year neuropsychological outcomes. Three-dimensional (3D) proton MRSI was performed in pediatric subjects with complicated mild (cMild), moderate, and severe injury, acutely (6-17 days) and 1-year post-injury along with neurological and cognitive testing. Longitudinal analysis found that in the cMild/Moderate group, all MRSI ratios from 12 regions returned to control levels at 1 year. In the severe group, only cortical gray matter regions fully recovered to control levels whereas N-acetylaspartate (NAA) ratios from the hemispheric white matter and subcortical regions remained statistically different from controls. A factor analysis reduced the data to two loading factors that significantly differentiated between TBI groups; one included acute regional NAA variables and another consisted of clinically observed variables (e.g., days in coma). Using scores calculated from the two loading factors in a logistic regression model, we found that the percent accuracy for classification of TBI groups was greatest for the dichotomized attention measure (93%), followed by Full Scale Intelligence Quotient at 91%, and the combined memory Z-score measure (90%). Using the acute basal ganglia NAA/creatine (Cr) ratio alone achieved a higher percent accuracy of 94.7% for the attention measure whereas the acute thalamic NAA/Cr ratio alone achieved a higher percent accuracy of 91.9% for the memory measure. These results support the conclusions that reduced NAA is an early indicator of tissue injury and that measurements from subcortical brain regions are more predictive of long-term cognitive outcome.

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Aims:Limited to no literature exists on the association among sleep quality, obesity and depression in pediatric populations. This study aims to explore this association by examining the sleep quality of children and adolescents before and after a twelve-week comprehensive multidisciplinary pediatric obesity program.Methods:Archival data from the pediatric obesity program included 71 children ages 6-17 (M=10.24, SD=2.74 ) who had been assessed pre and post intervention using the Children's Depression Inventory (CDI), a Sleep Questionnaire, and physician derived Body Mass Index (BMI). On all measures, higher scores indicate presence of symptoms of depression, sleep difficulties, or obesity.Results:High scores on the CDI proved to predict poor sleep quality both at intake and exit. Hierarchical regression exhibited change in BMI from intake to exit and predicted sleep quality. As BMI decreased from intake to exit, sleep quality increased.Conclusions:The current study suggests that sleep quality is influenced by the level of depression in children and adolescents both at pre and post intervention measures. Both depression and BMI influenced sleep quality. When the effect of BMI was accounted for, depression significantly predicted sleep quality. The more depressed children/adolescents reported to be, the lower their quality of sleep. Thus, this study suggests the importance of sleep and depression in the treatment of pediatric obesity. This research supports the importance of a multidisciplinary approach to addressing pediatric obesity.