MR Spectroscopy and SWI: Neuropsyehological Outcome after Pediatric Brain Injury

Truamatic brain injury (TBI) is among the most frequent pediatric neurological disorders and a significant contributor to childhood morbidity/mortality in the US. Although clinical indicators have been helpful in predicting long term outcomes, more effective prognostic tools are being sought. This study assessed the efficacies of acute single and multi-voxel Magnetic Resonance Spectroscopy (MRS) and Susceptibility Weighted Imaging (SWI) when predicting long-term neurocognitive functioning in pediatric TBI patients. Twenty children/adolescents (mean age 13.3 years, 5.8 SD) treated at Loma Linda University Children\u27s Hospital for a head injury were administered measures of intellectual and neuropsychological functioning 1-4 years post injury. Without exception, patients scored markedly lower on all neurocognitive measures compared to age-matched norms. Clinical indicators of injury severity and age at injury were associated with outcomes. Early age at injury (\u3c 8 years) and severe TBI together resulted in poor neurocognitive outcome, older age and mild injury resulted in scores within the normal range, while variable outcome was noted for patients with only one of the risk factors

A Model for HIV/AIDS Risk Behaviors of Students in Armenia

Without a cure in now its third decade, AIDS is a concern for both the medical and social science disciplines. Most at risk for a nationwide AIDS epidemic are developing countries, which often lack the necessary resources and knowledge to minimize the spread of the disease. There are an estimated 1500 HIV cases in Armenia, 81.5% of which occur in the 20-39 age group. Armenia’s current economic and political instability, increase in sexually transmitted infections (STI), prostitution, and injecting drug use, and the alarming incidence rates in neighboring countries amplify its risk for a national epidemic. The goals of this study were to 1) determine the prevalence of sexual risk behaviors of students from five higher education institutes in Yerevan, Armenia (ages 17 to 21), 2) evaluate the HIV/AIDS knowledge base, and 3) test the feasibility of theoretical constructs when predicting risk behaviors within the cultural setting. Sexual risk behaviors, including early sexual initiation, high number of lifetime sexual partners, and frequency of casual sex were prevalent, particularly among male students. Although knowledge regarding HIV transmission through sexual activity and injecting drug use were adequate, myths regarding alternate means of virus transmission still prevailed. Theory of Reasoned Action (TRA)-based psychosocial variables were used to examine sexual risk behaviors of students where intentions to engage in behaviors mediated the relationship between attitudes/perceived norms and behavior. Attitudes, subjective norms (of peers, parents, and other adults), and HIV/AIDS knowledge were used to predict intentions to engage in sexual activity, accounting for 63% of the variance. Furthermore, the hypothesis that gender and sexual history would systematically influence the relative predictive values of attitudes and subjective norms was supported. Namely, attitudes and peer norms were the strongest predictors of intentions for males and non-virgins, peer norms for virgins, and parent and peer norms for females. HIV/AIDS knowledge, however, was not a significant predictor of risk behaviors in any group except for virgin males, implying that knowledge-based educational programs alone are not an effective method for prevention. The results obtained from this study provide need and sample based information for school AIDS prevention programs in Armenia

An Assessment of HIV/AIDS Risk in Higher Education Students in Yerevan, Armenia

Armenia\u27s current sociopolitical and economic instability and the alarming HIV incidence rates in neighboring countries amplify its risk for a national epidemic. The goals of this study were to assess HIV/AIDS knowledge and risk behaviors among higher education students in Yerevan. Knowledge of HIV transmission through sexual intercourse was markedly higher than that on intravenous transmission and prevailing myths; however, HIV/AIDS knowledge was not related to risk behaviors. Tobacco and alcohol prevalence was relatively high. Students reported risky sexual behaviors, including inconsistent condom use, casual sex, and multiple partners. In addition to descriptive statistics delineating gender differences across the target behavioral domains, bivariate and multivariate statistical analyses were used to understand factors that contributed to increased risk, including early age of initiation and the relationship between substance use and risky sexual activity. The study results provide much-needed information for the development of school- and community-based AIDS prevention programs in Armenia

Diverging volumetric trajectories following pediatric traumatic brain injury.

Traumatic brain injury (TBI) is a significant public health concern, and can be especially disruptive in children, derailing on-going neuronal maturation in periods critical for cognitive development. There is considerable heterogeneity in post-injury outcomes, only partially explained by injury severity. Understanding the time course of recovery, and what factors may delay or promote recovery, will aid clinicians in decision-making and provide avenues for future mechanism-based therapeutics. We examined regional changes in brain volume in a pediatric/adolescent moderate-severe TBI (msTBI) cohort, assessed at two time points. Children were first assessed 2-5 months post-injury, and again 12 months later. We used tensor-based morphometry (TBM) to localize longitudinal volume expansion and reduction. We studied 21 msTBI patients (5 F, 8-18 years old) and 26 well-matched healthy control children, also assessed twice over the same interval. In a prior paper, we identified a subgroup of msTBI patients, based on interhemispheric transfer time (IHTT), with significant structural disruption of the white matter (WM) at 2-5 months post injury. We investigated how this subgroup (TBI-slow, N = 11) differed in longitudinal regional volume changes from msTBI patients (TBI-normal, N = 10) with normal WM structure and function. The TBI-slow group had longitudinal decreases in brain volume in several WM clusters, including the corpus callosum and hypothalamus, while the TBI-normal group showed increased volume in WM areas. Our results show prolonged atrophy of the WM over the first 18 months post-injury in the TBI-slow group. The TBI-normal group shows a different pattern that could indicate a return to a healthy trajectory

Functional Brain Hyperactivations Are Linked to an Electrophysiological Measure of Slow Interhemispheric Transfer Time after Pediatric Moderate/Severe Traumatic Brain Injury.

Increased task-related blood oxygen level dependent (BOLD) activation is commonly observed in functional magnetic resonance imaging (fMRI) studies of moderate/severe traumatic brain injury (msTBI), but the functional relevance of these hyperactivations and how they are linked to more direct measures of neuronal function remain largely unknown. Here, we investigated how working memory load (WML)-dependent BOLD activation was related to an electrophysiological measure of interhemispheric transfer time (IHTT) in a sample of 18 msTBI patients and 26 demographically matched controls from the UCLA RAPBI (Recovery after Pediatric Brain Injury) study. In the context of highly similar fMRI task performance, a subgroup of TBI patients with slow IHTT had greater BOLD activation with higher WML than both healthy control children and a subgroup of msTBI patients with normal IHTT. Slower IHTT treated as a continuous variable was also associated with BOLD hyperactivation in the full TBI sample and in controls. Higher WML-dependent BOLD activation was related to better performance on a clinical cognitive performance index, an association that was more pronounced within the patient group with slow IHTT. Our previous work has shown that a subgroup of children with slow IHTT after pediatric msTBI has increased risk for poor white matter organization, long-term neurodegeneration, and poor cognitive outcome. BOLD hyperactivations after msTBI may reflect neuronal compensatory processes supporting higher-order capacity demanding cognitive functions in the context of inefficient neuronal transfer of information. The link between BOLD hyperactivations and slow IHTT adds to the multi-modal validation of this electrophysiological measure as a promising biomarker

The UCLA Study of Children with Moderate-to-Severe Traumatic Brain Injury: Event-Related Potential Measure of Interhemispheric Transfer Time

Traumatic brain injury (TBI) frequently results in diffuse axonal injury and other white matter damage. The corpus callosum (CC) is particularly vulnerable to injury following TBI. Damage to this white matter tract has been associated with impaired neurocognitive functioning in children with TBI. Event-related potentials can identify stimulus-locked neural activity with high temporal resolution. They were used in this study to measure interhemispheric transfer time (IHTT) as an indicator of CC integrity in 44 children with moderate/severe TBI at 3-5 months post-injury, compared with 39 healthy control children. Neurocognitive performance also was examined in these groups. Nearly half of the children with TBI had IHTTs that were outside the range of the healthy control group children. This subgroup of TBI children with slow IHTT also had significantly poorer neurocognitive functioning than healthy controls-even after correction for premorbid intellectual functioning. We discuss alternative models for the relationship between IHTT and neurocognitive functioning following TBI. Slow IHTT may be a biomarker that identifies children at risk for poor cognitive functioning following moderate/severe TBI

Leptin Replacement Improves Cognitive Development

Leptin changes brain structure, neuron excitability and synaptic plasticity. It also regulates the development and function of feeding circuits. However, the effects of leptin on neurocognitive development are unknown.To evaluate the effect of leptin on neurocognitive development.A 5-year-old boy with a nonconservative missense leptin gene mutation (Cys-to-Thr in codon 105) was treated with recombinant methionyl human leptin (r-metHuLeptin) at physiologic replacement doses of 0.03 mg/kg/day. Cognitive development was assessed using the Differential Ability Scales (DAS), a measure of general verbal and nonverbal functioning; and selected subtests from the NEPSY, a measure of neuropsychological functioning in children.Prior to treatment, the patient was morbidly obese, hypertensive, dyslipidemic, and hyperinsulinemic. Baseline neurocognitive tests revealed slower than expected rates of development (developmental age lower than chronological age) in a majority of the areas assessed. After two years, substantial increases in the rates of development in most neurocognitive domains were apparent, with some skills at or exceeding expectations based on chronological age. We also observed marked weight loss and resolution of hypertension, dyslipidemia and hyperinsulinemia.We concluded that replacement with r-metHuLeptin is associated with weight loss and changes in rates of development in many neurocognitive domains, which lends support to the hypothesis that, in addition to its role in metabolism, leptin may have a cognitive enhancing role in the developing central nervous system.ClinicalTrials.gov NCT00659828

Linking Symptom Inventories using Semantic Textual Similarity

An extensive library of symptom inventories has been developed over time to measure clinical symptoms, but this variety has led to several long standing issues. Most notably, results drawn from different settings and studies are not comparable, which limits reproducibility. Here, we present an artificial intelligence (AI) approach using semantic textual similarity (STS) to link symptoms and scores across previously incongruous symptom inventories. We tested the ability of four pre-trained STS models to screen thousands of symptom description pairs for related content - a challenging task typically requiring expert panels. Models were tasked to predict symptom severity across four different inventories for 6,607 participants drawn from 16 international data sources. The STS approach achieved 74.8% accuracy across five tasks, outperforming other models tested. This work suggests that incorporating contextual, semantic information can assist expert decision-making processes, yielding gains for both general and disease-specific clinical assessment

Toward a global and reproducible science for brain imaging in neurotrauma: the ENIGMA adult moderate/severe traumatic brain injury working group

Abstract: The global burden of mortality and morbidity caused by traumatic brain injury (TBI) is significant, and the heterogeneity of TBI patients and the relatively small sample sizes of most current neuroimaging studies is a major challenge for scientific advances and clinical translation. The ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Adult moderate/severe TBI (AMS-TBI) working group aims to be a driving force for new discoveries in AMS-TBI by providing researchers world-wide with an effective framework and platform for large-scale cross-border collaboration and data sharing. Based on the principles of transparency, rigor, reproducibility and collaboration, we will facilitate the development and dissemination of multiscale and big data analysis pipelines for harmonized analyses in AMS-TBI using structural and functional neuroimaging in combination with non-imaging biomarkers, genetics, as well as clinical and behavioral measures. Ultimately, we will offer investigators an unprecedented opportunity to test important hypotheses about recovery and morbidity in AMS-TBI by taking advantage of our robust methods for large-scale neuroimaging data analysis. In this consensus statement we outline the working group’s short-term, intermediate, and long-term goals

Toward a global and reproducible science for brain imaging in neurotrauma: the ENIGMA adult moderate/severe traumatic brain injury working group

Abstract: The global burden of mortality and morbidity caused by traumatic brain injury (TBI) is significant, and the heterogeneity of TBI patients and the relatively small sample sizes of most current neuroimaging studies is a major challenge for scientific advances and clinical translation. The ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Adult moderate/severe TBI (AMS-TBI) working group aims to be a driving force for new discoveries in AMS-TBI by providing researchers world-wide with an effective framework and platform for large-scale cross-border collaboration and data sharing. Based on the principles of transparency, rigor, reproducibility and collaboration, we will facilitate the development and dissemination of multiscale and big data analysis pipelines for harmonized analyses in AMS-TBI using structural and functional neuroimaging in combination with non-imaging biomarkers, genetics, as well as clinical and behavioral measures. Ultimately, we will offer investigators an unprecedented opportunity to test important hypotheses about recovery and morbidity in AMS-TBI by taking advantage of our robust methods for large-scale neuroimaging data analysis. In this consensus statement we outline the working group’s short-term, intermediate, and long-term goals