Clinicians are placed in a quandary when treating the 750,000 new cases of pediatric mild traumatic brain injury (pmTBI) that occur each year. Specifically, the etiology (e.g., diffuse brain injury, disrupted cerebral blood flow, or psychological factors) of post-concussive symptoms (PCS), the long-term impact of pmTBI on academic and social functioning, and the effect of age-at-injury are all currently unknown. The trajectory of neurodevelopment varies as a function of age, pubertal stage and biological sex, suggesting that findings relevant for one group of children (e.g., male adolescents, the typical sample derived in most studies of pmTBI) may not directly translate to children in another developmental phase. Age interacts with recovery in animal models, potentially as a result of differences in plasticity (early vulnerability vs. early plasticity) or due to critical periods. However, empirical evidence in the human literature is currently mixed as a result of heterogeneous sampling strategies that conflate injury severity (i.e., mild through severe TBI) and overlapping neurodevelopment periods. There is not a single study examining clinical outcomes and diffuse injury mechanisms for pmTBI occurring during middle childhood (8-12 years old [y.o.]). The parent grant and competing revision address this critical knowledge gap by collecting longitudinal (approximately 1 week, 4 months and 1 year post-injury) neuroimaging and clinical data in two neurodevelopmentally distinct pmTBI patient cohorts (8-12 y.o. = competing revision [N = 150]; 13-18 y.o. = parent grant [N = 150]) and age- and sex-matched healthy controls (HC; N = 250). This study specifically evaluates potential mechanisms of action for diffuse white matter (WM) and gray matter (GM) injuries in pmTBI (Aim 1) and identifies the role of these diffuse injuries, pre-morbid and age-at-injury factors on clinical outcomes (Aim 2). Biological factors such as sex, pubertal stage and the presence of structural lesions are carefully considered in the analytic plan to increase rigor. Data collected in the first 15 months of the parent award demonstrates increased PCS, objective cognitive deficits and diffuse injuries in semi-acute adolescent pmTBI (N=64) compared to matched HC (N=48). We are currently ahead of our originally proposed enrollment goals in spite of the shortened first year and reduced budget. Importantly, our new preliminary data suggest a pattern in which self-reported PCS is greater during middle childhood, but both objective testing and markers of diffuse injuries are greater for adolescents. Based on these data, we hypothesize that adolescent pmTBI will exhibit greater diffuse injuries and worse performance on objective clinical measures, with less evidence of recovery than middle childhood pmTBI, who will report more PCS. The competing revision will use identical clinical, imaging (multiband echo- planar imaging, multi-shell high angular resolution diffusion imaging sequence, cerebral vascular reactivity and p-CASL) and innovative analyses as the parent grant, building upon existing infrastructure for patient recruitment, patient assessment, analyses and data dissemination. These independent measures of diffuse injury will provide critical information on how WM and deep GM structures are affected by trauma above and beyond any structural findings, providing mechanisms of target engagement for future therapeutic trials. The public health significance of the current application is multifold. First, the current study will provide evidence- based data on diffuse brain injuries following pmTBI occurring at two separate critical stages of brain maturation and their relationship to clinical outcomes over a one-year period. This represents a major advance for the field given the current lack of a gold standard for diagnosing injury and the limited scientific understanding of prognostic indicators of pmTBI. The application also represents the first step towards understanding why some children do not recover from their injuries, and will allow clinicians to make more informed decisions regarding when it is safe to return to physical and academic activity following pmTBI based on the patient?s developmental stage.
Approximately 400,000 youth experience a mild traumatic brain injury (pmTBI) each year. It is currently known that the neurobehavioral symptoms (i.e., cognitive, emotional, and somatic) of pmTBI are more pronounced in the first few weeks of injury, but it is not known how long these symptoms should typically last and whether this depends on the age of the child at the time of injury. Standard neuroimaging techniques are not very sensitive to the diffuse injuries that occur following pmTBI. Therefore, we do not understand why these symptoms occur or why certain children recover whereas others do not. Children who remain symptomatic are faced with impairment in academic, interpersonal and social functioning, ultimately resulting in a reduced quality of life. A growing literature also suggests that repetitive traumatic events may result in long- term neuropsychiatric disturbances. Thus, developing biomarkers that are capable of tracking neurological change from the semi-acute to more chronic injury phases is a major public health objective. The current application will utilize state-of-the-art neuroimaging techniques to quantify how diffuse injuries (e.g., gray matter, white matter and vascular) change during the dynamic course of pmTBI, how they relate to neurobehavioral symptoms, and whether this depends on age-of-injury. This information is of vital significance for clinical decisions about injury severity and return to normal physical activity, as well as for ultimately developing treatments that target injury mechanisms rather than symptomatology.
Mayer, Andrew R; Hanlon, Faith M; Claus, Eric D et al. (2018) An Examination of Behavioral and Neuronal Effects of Comorbid Traumatic Brain Injury and Alcohol Use. Biol Psychiatry Cogn Neurosci Neuroimaging 3:294-302 |
Mayer, Andrew R; Kaushal, Mayank; Dodd, Andrew B et al. (2018) Advanced biomarkers of pediatric mild traumatic brain injury: Progress and perils. Neurosci Biobehav Rev 94:149-165 |
Vergara, Victor M; Mayer, Andrew R; Kiehl, Kent A et al. (2018) Dynamic functional network connectivity discriminates mild traumatic brain injury through machine learning. Neuroimage Clin 19:30-37 |
Quinn, Davin K; Mayer, Andrew R; Master, Christina L et al. (2018) Prolonged Postconcussive Symptoms. Am J Psychiatry 175:103-111 |
Dodd, Andrew B; Ling, Josef M; Bedrick, Edward J et al. (2018) Spatial distribution bias in subject-specific abnormalities analyses. Brain Imaging Behav 12:1828-1834 |
Mayer, Andrew R; Dodd, Andrew B; Ling, Josef M et al. (2018) An evaluation of Z-transform algorithms for identifying subject-specific abnormalities in neuroimaging data. Brain Imaging Behav 12:437-448 |
Mayer, Andrew R; Ling, Josef M; Dodd, Andrew B et al. (2017) A prospective microstructure imaging study in mixed-martial artists using geometric measures and diffusion tensor imaging: methods and findings. Brain Imaging Behav 11:698-711 |
Hanlon, Faith M; McGrew, Christopher A; Mayer, Andrew R (2017) Does a Unique Neuropsychiatric Profile Currently Exist for Chronic Traumatic Encephalopathy? Curr Sports Med Rep 16:30-35 |
Mayer, Andrew R; Wilcox, Claire E; Dodd, Andrew B et al. (2016) The efficacy of attention bias modification therapy in cocaine use disorders. Am J Drug Alcohol Abuse 42:459-68 |