Exploring the link among injury severity, white matter connectivity and psychosocial outcomes in pediatric TBI: a probabilistic tractography approach.

AIM: We examined associations among injury severity, white matter structural connectivity within functionally defined brain networks and psychosocial/adaptive outcomes in children with traumatic brain injury (TBI). METHOD: Participants included 58 youths (39 male) with complicated-mild TBI (cmTBI; n = 12, age = 12.6 ± 2.0), moderate/severe TBI (msTBI; n = 16, age = 11.4 ± 2.9) and a comparison group with orthopedic injury (OI; n = 24, age = 11.7 ± 2.1), at least 1 year post-injury. Participants underwent diffusion tensor imaging and parents rated children's behavioral and adaptive function on the CBCL and ABAS-3, respectively. Probabilistic tractography quantified streamline density. Group differences were analyzed for structural connectivity and behavioral outcomes. RESULTS: Groups differed in structural connectivity within regions of the default mode and central executive networks (ps < .05, FDR corrected). The msTBI group displayed decreased connectivity relative to cmTBI and OI, whereas the cmTBI group displayed increased connectivity relative to msTBI and OI. Similar patterns emerged in several behavioral domains. Ordinary least squares path analyses showed that structural connectivity mediated the relationship between injury severity and multiple parent-reported outcomes for msTBI. INTERPRETATION: White matter structural connectivity may explain unique variance in long-term psychosocial and adaptive outcome in children with TBI, particularly in cases of moderate-to-severe injury.

Neuropsychology practice guidance for the neuropsychiatric aspects of Long COVID.

Objective: The coronavirus disease-2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has had a profound global impact on individual health and well-being in adults and children. While most fully recover from COVID-19, a relatively large subgroup continues to experience persistent physical, cognitive, and emotional/behavioral symptoms beyond the initial infection period. The World Health Organization has termed this phenomenon "Post-COVID-19 Condition" (PCC), better known as "Long COVID." Due to the cognitive and psychosocial symptoms, neuropsychologists often assess and recommend treatment for individuals with Long COVID. However, guidance for neuropsychologists' involvement in clinical care, policy-making, and research has not yet been developed. The authors of this manuscript convened to address this critical gap and develop guidance for clinical neuropsychologists working with patients presenting with Long COVID. Method: Authors include pediatric and adult neuropsychologists with expertise in Long COVID and behavioral health. All authors have been engaged in clinical and research efforts examining the impact of COVID-19. Authors summarized the literature-to-date pertinent to the neuropsychiatric sequelae of Long COVID and developed guidance for neuropsychologists working with individuals with Long COVID. Conclusions: Research findings regarding neuropsychiatric symptoms associated with Long COVID are mixed and limited by methodological differences. As they practice and conduct research, neuropsychologists should remain mindful of the evolving and tenuous nature of the literature.

Depression and anxiety in transgender and non-binary adolescents: prevalence and associations between adolescent and caregiver reports.

Transgender/non-binary (TNB) adolescents are at increased risk for mental health concerns, and caregiver awareness is important to facilitate access to care. Yet, limited research has examined caregiver awareness of TNB mental health. Thus, we examined (1) the prevalence of internalizing symptoms (depression, generalized anxiety, separation anxiety, social anxiety) among TNB adolescents and (2) associations between adolescent and caregiver reports of adolescent mental health symptoms. TNB adolescents (N = 75) aged 12-18 and a caregiver were recruited from a multidisciplinary gender clinic in Ohio. Adolescents self-reported their mental health symptoms via the CDI and SCARED. Caregivers reported their perceptions of the adolescent's mental health symptoms via the CASI-5. Descriptive statistics assessed participant characteristics, adolescent self-reported mental health symptoms, and caregiver proxy reports of adolescent mental health symptoms. Pearson's correlations and scatterplots were used to compare adolescent and caregiver reports and McNemar tests assessed if the differences were statistically significant. Most TNB adolescents reported elevated symptoms of depression (59%), generalized anxiety (75%), separation anxiety (52%), and social anxiety (78%). Caregiver and adolescent reports were significantly correlated for depression (r = .36, p = .002), separation anxiety (r = .39, p < .001), and social anxiety (r = .47, p < .001). Caregiver and adolescent reports of generalized anxiety were not significantly correlated (r = .21, p = .08). McNemar tests were significant (all p < .001), such that adolescents' reports met clinical cutoffs far more than their caregivers' reports. CONCLUSIONS: Though adolescent and caregiver reports were low to moderately correlated, youth reports were consistently higher, suggesting the importance of interventions to increase caregiver understanding of TNB adolescent mental health. WHAT IS KNOWN: • Transgender/non-binary adolescents are at high risk for mental health concerns and caregivers are essential to coordinate care. WHAT IS NEW: • This study expands the diagnostic mental health sub-categories examined in transgender/non-binary adolescents, noting elevated symptoms of separation and social anxiety. • Transgender/non-binary adolescents reported more symptoms of depression, generalized anxiety, separation anxiety, and social anxiety than caregivers.

Verbal Learning and Memory Deficits across Neurological and Neuropsychiatric Disorders: Insights from an ENIGMA Mega Analysis.

Deficits in memory performance have been linked to a wide range of neurological and neuropsychiatric conditions. While many studies have assessed the memory impacts of individual conditions, this study considers a broader perspective by evaluating how memory recall is differentially associated with nine common neuropsychiatric conditions using data drawn from 55 international studies, aggregating 15,883 unique participants aged 15-90. The effects of dementia, mild cognitive impairment, Parkinson's disease, traumatic brain injury, stroke, depression, attention-deficit/hyperactivity disorder (ADHD), schizophrenia, and bipolar disorder on immediate, short-, and long-delay verbal learning and memory (VLM) scores were estimated relative to matched healthy individuals. Random forest models identified age, years of education, and site as important VLM covariates. A Bayesian harmonization approach was used to isolate and remove site effects. Regression estimated the adjusted association of each clinical group with VLM scores. Memory deficits were strongly associated with dementia and schizophrenia (p < 0.001), while neither depression nor ADHD showed consistent associations with VLM scores (p > 0.05). Differences associated with clinical conditions were larger for longer delayed recall duration items. By comparing VLM across clinical conditions, this study provides a foundation for enhanced diagnostic precision and offers new insights into disease management of comorbid disorders.

The Use of Methylphenidate During Inpatient Rehabilitation After Pediatric Traumatic Brain Injury: Population Characteristics and Prescribing Patterns.

OBJECTIVE: To understand how methylphenidate (MPH) is used in youth with traumatic brain injury (TBI) during inpatient pediatric rehabilitation. SETTING: Inpatient pediatric rehabilitation. PARTICIPANTS: In total, 234 children with TBI; 62 of whom received MPH and 172 who did not. Patients were on average 11.6 years of age (range, 2 months to 21 years); 88 of 234 were female; the most common mechanism of injury was motor vehicle collision (49%); median (IQR) acute hospital length of stay (LOS) and inpatient rehabilitation LOS were 16 (10-29) and 23 (14-39), respectively; 51 of 234 were in a disorder of consciousness cognitive state at time of inpatient rehabilitation admission. DESIGN: Multicenter, retrospective medical record review. MAIN MEASURES: Patient demographic data, time to inpatient pediatric rehabilitation admission (TTA), cognitive state, MPH dosing (mg/kg/day). RESULTS: Patients who received MPH were older (P = .011); TTA was significantly longer in patients who received MPH than those who did not (P =.002). The lowest recorded dose range by weight was 0.05 to 0.89 mg/kg/d, representing an 18-fold difference; the weight-based range for the maximum dose was 0.11 to 0.97 mg/kg/d, a 9-fold difference. Patients in lower cognitive states at admission (P = .001) and at discharge (P = .030) were more likely to receive MPH. Five patients had side effects known to be associated with MPH; no serious adverse events were reported. CONCLUSION: This multicenter study indicates that there is variable use of MPH during acute inpatient rehabilitation for children with TBI. Children who receive MPH tend to be older with lower cognitive states. Dosing practices are likely consistent with underdosing. Clinical indications for MPH use during inpatient pediatric rehabilitation should be better defined. The use of MPH, as well as its combination with other medications and treatments, during inpatient rehabilitation needs to be further explored.

ENIGMA's simple seven: Recommendations to enhance the reproducibility of resting-state fMRI in traumatic brain injury.

Resting state functional magnetic resonance imaging (rsfMRI) provides researchers and clinicians with a powerful tool to examine functional connectivity across large-scale brain networks, with ever-increasing applications to the study of neurological disorders, such as traumatic brain injury (TBI). While rsfMRI holds unparalleled promise in systems neurosciences, its acquisition and analytical methodology across research groups is variable, resulting in a literature that is challenging to integrate and interpret. The focus of this narrative review is to address the primary methodological issues including investigator decision points in the application of rsfMRI to study the consequences of TBI. As part of the ENIGMA Brain Injury working group, we have collaborated to identify a minimum set of recommendations that are designed to produce results that are reliable, harmonizable, and reproducible for the TBI imaging research community. Part one of this review provides the results of a literature search of current rsfMRI studies of TBI, highlighting key design considerations and data processing pipelines. Part two outlines seven data acquisition, processing, and analysis recommendations with the goal of maximizing study reliability and between-site comparability, while preserving investigator autonomy. Part three summarizes new directions and opportunities for future rsfMRI studies in TBI patients. The goal is to galvanize the TBI community to gain consensus for a set of rigorous and reproducible methods, and to increase analytical transparency and data sharing to address the reproducibility crisis in the field.

Higher order neurocognition in pediatric brain tumor survivors: What can we learn from white matter microstructure?

BACKGROUND: Pediatric brain tumor survivors (PBTS) experience neurocognitive late effects, including problems with working memory, processing speed, and other higher order skills. These skill domains are subserved by various white matter (WM) pathways, but not much is known about these brain-behavior links in PBTS. This study examined the anterior corona radiata (ACR), inferior fronto-occipital fasciculi (IFOF), and superior longitudinal fasciculi (SLF) by analyzing associations among diffusion metrics and neurocognition. PROCEDURE: Thirteen PBTS and 10 healthy controls (HC), aged 9-14 years, completed performance-based measures of processing speed and executive function, and parents rated their child's day-to-day executive skills. Children underwent magnetic resonance imaging (MRI) with diffusion weighted imaging that yielded fractional anisotropy (FA) and mean diffusivity (MD) values. Independent samples t-tests assessed group differences on neurocognitive and imaging measures, and pooled within-group correlations examined relationships among measures across groups. RESULTS: PBTS performed more poorly than HC on measures of processing speed, divided attention, and shifting (d = -1.08 to -1.44). WM microstructure differences were significant in MD values for the bilateral SLF and ACR, with PBTS showing higher diffusivity (d = 0.75 to 1.21). Better processing speed, divided attention, and shifting were associated with lower diffusivity in the IFOF, SLF, and ACR, but were not strongly correlated with FA. CONCLUSIONS: PBTS demonstrate poorer neurocognitive functioning that is linked to differences in WM microstructure, as evidenced by higher diffusivity in the ACR, SLF, and IFOF. These findings support the use of MD in understanding alterations in WM microstructure in PTBS and shed light on potential functions of these pathways.

Multimodal Analysis of Secondary Cerebellar Alterations After Pediatric Traumatic Brain Injury.

Importance: Traumatic brain injury (TBI) is known to cause widespread neural disruption in the cerebrum. However, less is known about the association of TBI with cerebellar structure and how such changes may alter executive functioning. Objective: To investigate alterations in subregional cerebellum volume and cerebral white matter microstructure after pediatric TBI and examine subsequent changes in executive function. Design, Setting, and Participants: This retrospective cohort study combined 12 data sets (collected between 2006 and 2020) from 9 sites in the Enhancing Neuroimaging Genetics Through Meta-Analysis Consortium Pediatric TBI working group in a mega-analysis of cerebellar structure. Participants with TBI or healthy controls (some with orthopedic injury) were recruited from trauma centers, clinics, and institutional trauma registries, some of which were followed longitudinally over a period of 0.7 to 1.9 years. Healthy controls were recruited from the surrounding community. Data analysis occurred from October to December 2022. Exposure: Accidental mild complicated-severe TBI (msTBI) for those in the TBI group. Some controls received a diagnosis of orthopedic injury. Main Outcomes and Measures: Volume of 18 cerebellar lobules and vermal regions were estimated from 3-dimensional T1-weighted magnetic resonance imaging (MRI) scans. White matter organization in 28 regions of interest was assessed with diffusion tensor MRI. Executive function was measured by parent-reported scores from the Behavior Rating Inventory of Executive Functioning. Results: A total of 598 children and adolescents (mean [SD] age, 14.05 [3.06] years; range, 5.45-19.70 years; 386 male participants [64.5%]; 212 female participants [35.5%]) were included in the study, with 314 participants in the msTBI group, and 284 participants in the non-TBI group (133 healthy individuals and 151 orthopedically injured individuals). Significantly smaller total cerebellum volume (d = -0.37; 95% CI, -0.52 to -0.22; P < .001) and subregional cerebellum volumes (eg, corpus medullare; d = -0.43; 95% CI, -0.58 to -0.28; P < .001) were observed in the msTBI group. These alterations were primarily seen in participants in the chronic phase (ie, >6 months postinjury) of injury (total cerebellar volume, d = -0.55; 95% CI, -0.75 to -0.35; P < .001). Smaller cerebellum volumes were associated with higher scores on the Behavior Rating Inventory of Executive Functioning Global Executive Composite score (ß = -208.9 mm3; 95% CI, -319.0 to -98.0 mm3; P = .008) and Metacognition Index score (ß = -202.5 mm3; 95% CI, -319.0 to -85.0 mm3; P = .02). In a subset of 185 participants with longitudinal data, younger msTBI participants exhibited cerebellum volume reductions (ß = 0.0052 mm3; 95% CI, 0.0013 to 0.0090 mm3; P = .01), and older participants slower growth rates. Poorer white matter organization in the first months postinjury was associated with decreases in cerebellum volume over time (ß=0.52 mm3; 95% CI, 0.19 to 0.84 mm3; P = .005). Conclusions and Relevance: In this cohort study of pediatric msTBI, our results demonstrated robust cerebellar volume alterations associated with pediatric TBI, localized to the posterior lobe. Furthermore, longitudinal cerebellum changes were associated with baseline diffusion tensor MRI metrics, suggesting secondary cerebellar atrophy. These results provide further understanding of secondary injury mechanisms and may point to new opportunities for intervention.

Effect of Extremely Preterm Birth on Adolescent Brain Network Organization.

Introduction: Extremely preterm (EPT) birth, defined as birth at a gestational age (GA) <28 weeks, can have a lasting impact on cognition throughout the life span. Previous investigations reveal differences in brain structure and connectivity between infants born preterm and full-term (FT), but how does preterm birth impact the adolescent connectome? Methods: In this study, we investigate how EPT birth can alter broadscale network organization later in life by comparing resting-state functional magnetic resonance imaging connectome-based parcellations of the entire cortex in adolescents born EPT (N = 22) to age-matched adolescents born FT (GA ≥37 weeks, N = 28). We compare these parcellations to adult parcellations from previous studies and explore the relationship between an individual's network organization and behavior. Results: Primary (occipital and sensorimotor) and frontoparietal networks were observed in both groups. However, there existed notable differences in the limbic and insular networks. Surprisingly, the connectivity profile of the limbic network of EPT adolescents was more adultlike than the same network in FT adolescents. Finally, we found a relationship between adolescents' overall cognition score and their limbic network maturity. Discussion: Overall, preterm birth may contribute to the atypical development of broadscale network organization in adolescence and may partially explain the observed cognitive deficits.

Predicting Outcomes 2 Months and 1 Year After Inpatient Rehabilitation for Youth With TBI Using Duration of Impaired Consciousness and Serial Cognitive Assessment.

OBJECTIVE: To examine predictive utility of the Glasgow Coma Scale (GCS), time to follow commands (TFC), length of posttraumatic amnesia (PTA), duration of impaired consciousness (TFC+PTA), and the Cognitive and Linguistic Scale (CALS) scores in predicting outcomes on the Glasgow Outcome Scale-Extended, Pediatric Revision (GOS-E Peds) for children with traumatic brain injury (TBI) at 2 months and 1 year after discharge from rehabilitation. SETTING: A large, urban pediatric medical center and inpatient rehabilitation program. PARTICIPANTS: Sixty youth with moderate-to-severe TBI (mean age at injury = 13.7 years; range = 5-20). DESIGN: A retrospective chart review. MAIN MEASURES: Lowest postresuscitation GCS, TFC, PTA, TFC+PTA, inpatient rehabilitation admission and discharge CALS scores, GOS-E Peds at 2-month and 1-year follow-ups. RESULTS: CALS scores were significantly correlated with the GOS-E Peds at both time points (weak-to-moderate correlation for admission scores and moderate correlation for discharge scores). TFC and TFC+PTA were correlated with GOS-E Peds scores at a 2-month follow-up and TFC remained a predictor at a 1-year follow-up. The GCS and PTA were not correlated with the GOS-E Peds. In the stepwise linear regression model, only the CALS at discharge was a significant predictor of the GOS-E Peds at the 2-month and 1-year follow-ups. CONCLUSIONS: In our correlational analysis, better performance on the CALS was associated with less long-term disability, and longer TFC was associated with more long-term disability, as measured by the GOS-E Peds. In this sample, the CALS at discharge was the only retained significant predictor of GOS-E Peds scores at 2-month and 1-year follow-ups, accounting for roughly 25% of the variance in GOS-E scores. As previous research suggests, variables related to rate of recovery may be better predictors of outcome than variables related to severity of injury at a single time point (eg, GCS). Future multisite studies are needed to increase sample size and standardize data collection methods for clinical and research purposes.

Quality of Social Relationships with Parents and Peers in Adolescents Born Extremely Preterm.

OBJECTIVE: Adolescents born extremely preterm (EPT, gestational age [GA] <28 weeks) are at higher risk for problems in peer socialization than those born full-term (FT, GA >36 weeks). This study was designed to examine the possibility that adolescents born EPT may also have difficulty in transitioning from parents to peers for socialization, a process referred to as "social reorienting." A secondary aim was to investigate associations of social reorienting with other neurodevelopmental characteristics. METHODS: The Network of Relationships Inventory, Relationship Quality Version was administered to 24 adolescents (ages 11-16 years) born EPT and 29 born FT to obtain self-ratings of closeness and discord with parents and peers. Measures of other neurodevelopmental characteristics included tests of cognitive and social skills, adolescent self-ratings of adjustment and victimization, and parent ratings of youth behavior and adaptive skills. Mixed model analyses controlling for sex, socioeconomic status, and race were conducted to examine group differences in measures of relationship quality and their associations with other neurodevelopmental characteristics. RESULTS: The EPT group had higher ratings of closeness with parents than the FT group. For adolescents from lower socioeconomic backgrounds, those born EPT had lower closeness with peers. Higher closeness with parents was associated with lower test scores. Lower closeness and more discord with peers were associated with more behavior problems. CONCLUSION: Findings suggest that adolescents born EPT have difficulties in social reorientation toward peers and identify factors related to these difficulties. Results imply a need for interventions to improve peer socialization in youth born EPT.

Bridging Big Data: Procedures for Combining Non-equivalent Cognitive Measures from the ENIGMA Consortium.

Investigators in neuroscience have turned to Big Data to address replication and reliability issues by increasing sample sizes, statistical power, and representativeness of data. These efforts unveil new questions about integrating data arising from distinct sources and instruments. We focus on the most frequently assessed cognitive domain - memory testing - and demonstrate a process for reliable data harmonization across three common measures. We aggregated global raw data from 53 studies totaling N = 10,505 individuals. A mega-analysis was conducted using empirical bayes harmonization to remove site effects, followed by linear models adjusting for common covariates. A continuous item response theory (IRT) model estimated each individual's latent verbal learning ability while accounting for item difficulties. Harmonization significantly reduced inter-site variance while preserving covariate effects, and our conversion tool is freely available online. This demonstrates that large-scale data sharing and harmonization initiatives can address reproducibility and integration challenges across the behavioral sciences.

Structural Racism, Social Determinants of Health, and Provider Bias: Impact on Brain Development in Critical Congenital Heart Disease.

Critical congenital heart disease (cCHD) has neurodevelopmental sequelae that can carry into adulthood, which may be due to aberrant brain development or brain injury in the prenatal and perinatal/neonatal periods and beyond. Health disparities based on the intersection of sex, geography, race, and ethnicity have been identified for poorer pre- and postnatal outcomes in the general population, as well as those with cCHD. These disparities are likely driven by structural racism, disparities in social determinants of health, and provider bias, which further compound negative brain development outcomes. This review discusses how aberrant brain development in cCHD early in life is affected by reduced access to quality care (ie, prenatal care and testing, postnatal care) due to divestment in non-White neighbourhoods (eg, redlining) and food insecurity, differences in insurance status, location of residence, and perceived interpersonal racism and bias that disproportionately affects pregnant people of colour who have fewer economic resources. Suggestions are discussed for moving forward with implementing strategies in medical education, clinical care, research, and gaining insight into the communities served to combat disparities and bias while promoting cultural humility.

Pilot Study of Associations Among Functional Connectivity and Neurocognition in Survivors of Pediatric Brain Tumor and Healthy Peers.

This pilot study examined the associations among functional connectivity in the salience, central executive, and default mode networks, and neurocognition in pediatric brain tumor survivors and healthy children. Thirteen pediatric brain tumor survivors (9 boys, M = 12.76 years) and 10 healthy children (6 boys, M = 12.70 years) completed magnetic resonance imaging (MRI) and assessment of processing speed and executive function. Pediatric brain tumor survivors performed more poorly than healthy children on measures of processing speed, divided attention, and working memory; parent ratings of day-to-day executive function did not differ significantly by group, though both pediatric brain tumor survivors who underwent only surgical resection and healthy children were rated by parents as having difficulties approaching a standard deviation above the normative mean. Connectivity was lower in the salience network and greater in the default mode network in pediatric brain tumor survivors. Cross-method correlations showed that increased salience network and default mode network connectivity were associated with better task performance and parent-rated executive skills and higher central executive network connectivity with poorer parent-rated executive skills. This perhaps reflects an adaptive pattern of hyperconnectivity in pediatric brain tumor survivors.

Multimodal classification of extremely preterm and term adolescents using the fusiform gyrus: A machine learning approach.

OBJECTIVE: Extremely preterm birth has been associated with atypical visual and neural processing of faces, as well as differences in gray matter structure in visual processing areas relative to full-term peers. In particular, the right fusiform gyrus, a core visual area involved in face processing, has been shown to have structural and functional differences between preterm and full-term individuals from childhood through early adulthood. The current study used multiple neuroimaging modalities to build a machine learning model based on the right fusiform gyrus to classify extremely preterm birth status. METHOD: Extremely preterm adolescents (n = 20) and full-term peers (n = 24) underwent structural and functional magnetic resonance imaging. Group differences in gray matter density, measured via voxel-based morphometry (VBM), and blood-oxygen level-dependent (BOLD) response to face stimuli were explored within the right fusiform. Using group difference clusters as seed regions, analyses investigating outgoing white matter streamlines, regional homogeneity, and functional connectivity during a face processing task and at rest were conducted. A data driven approach was utilized to determine the most discriminative combination of these features within a linear support vector machine classifier. RESULTS: Group differences in two partially overlapping clusters emerged: one from the VBM analysis showing less density in the extremely preterm cohort and one from BOLD response to faces showing greater activation in the extremely preterm relative to full-term youth. A classifier fit to the data from the cluster identified in the BOLD analysis achieved an accuracy score of 88.64% when BOLD, gray matter density, regional homogeneity, and functional connectivity during the task and at rest were included. A classifier fit to the data from the cluster identified in the VBM analysis achieved an accuracy score of 95.45% when only BOLD, gray matter density, and regional homogeneity were included. CONCLUSION: Consistent with previous findings, we observed neural differences in extremely preterm youth in an area that plays an important role in face processing. Multimodal analyses revealed differences in structure, function, and connectivity that, when taken together, accurately distinguish extremely preterm from full-term born youth. Our findings suggest a compensatory role of the fusiform where less dense gray matter is countered by increased local BOLD signal. Importantly, sub-threshold differences in many modalities within the same region were informative when distinguishing between extremely preterm and full-term youth.

Development of the mentalizing network structures and theory of mind in extremely preterm youth.

Adolescents born preterm (<37 weeks of gestation) are at elevated risk for deficits in social cognition and peer relationships. Theory of Mind (ToM) is a complex form of social cognition important for regulating social interactions. ToM and the underlying mentalizing network continue to develop across adolescence. The present study recruited 48 adolescents (12-17 years old) who were either born extremely preterm (EPT; <28 weeks of gestation) or full-term (FT) at birth. Cortical thickness, gray matter volume and surface area were measured in four regions of the mentalizing network: the temporoparietal junction, anterior temporal cortex, posterior superior temporal sulcus and frontal pole (mBA10). We also assessed the adolescents' performance on a ToM task. Findings revealed both group differences and group-by-age interaction effects in the gray matter indices within the temporal lobe regions of the mentalizing network. The EPT group also performed significantly worse than the FT group on the ToM task. The cortical structural measures that discriminated the EPT and FT groups were not related to ToM performance. These results highlight altered developmental changes in brain regions underlying mentalizing functions in EPT adolescents relative to FT controls.

Prescribing Patterns of Amantadine During Pediatric Inpatient Rehabilitation After Traumatic Brain Injury: A Multicentered Retrospective Review From the Pediatric Brain Injury Consortium.

OBJECTIVES: To describe dosing practices for amantadine hydrochloride and related adverse effects among children and young adults with traumatic brain injury (TBI) admitted to pediatric inpatient rehabilitation units. SETTING: Eight pediatric acute inpatient rehabilitation units located throughout the United States comprising the Pediatric Brain Injury Consortium. PARTICIPANTS: Two-hundred thirty-four children and young adults aged 2 months to 21 years with TBI. DESIGN: Retrospective data revie. MAIN OUTCOME MEASURES: Demographic variables associated with the use of amantadine, amantadine dose, and reported adverse effects. RESULTS: Forty-nine patients (21%) aged 0.9 to 20 years received amantadine during inpatient rehabilitation. Forty-five percent of patients admitted to inpatient rehabilitation with a disorder of consciousness (DoC) were treated with amantadine, while 14% of children admitted with higher levels of functioning received amantadine. Children with DoC who were not treated with amantadine were younger than those with DoC who received amantadine (median 3.0 vs 11.6 years, P = .008). Recorded doses of amantadine ranged from 0.7 to 13.5 mg/kg/d; the highest total daily dose was 400 mg/d. Adverse effects were reported in 8 patients (16%); nausea/abdominal discomfort and agitation were most common, each reported in 3 patients. The highest reported dose without an adverse effect was 10.1 mg/kg/d. CONCLUSION: During pediatric inpatient rehabilitation, amantadine was prescribed to children across a range of ages and injury severity and was most commonly prescribed to older children with DoC. Dosing varied widely, with weight-based dosing for younger/smaller children at both lower and higher doses than what had been previously reported. Prospective studies are needed to characterize the safety and tolerability of higher amantadine doses and optimize amantadine dosing parameters for children with TBI.

White Matter Disruption in Pediatric Traumatic Brain Injury: Results from ENIGMA Pediatric Moderate to Severe Traumatic Brain Injury.

OBJECTIVE: Our study addressed aims: (1) test the hypothesis that moderate-severe TBI in pediatric patients is associated with widespread white matter (WM) disruption; (2) test the hypothesis that age and sex impact WM organization after injury; and (3) examine associations between WM organization and neurobehavioral outcomes. METHODS: Data from ten previously enrolled, existing cohorts recruited from local hospitals and clinics were shared with the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Pediatric msTBI working group. We conducted a coordinated analysis of diffusion MRI (dMRI) data using the ENIGMA dMRI processing pipeline. RESULTS: Five hundred and seven children and adolescents (244 with complicated mild to severe TBI [msTBI] and 263 controls) were included. Patients were clustered into three post-injury intervals: acute/subacute - <2 months, post-acute - 2-6 months, chronic - 6+ months. Outcomes were dMRI metrics and post-injury behavioral problems as indexed by the Child Behavior Checklist (CBCL). Our analyses revealed altered WM diffusion metrics across multiple tracts and all post-injury intervals (effect sizes ranging between d=-0.5 to -1.3). Injury severity is a significant contributor to the extent of WM alterations but explained less variance in dMRI measures with increasing time post-injury. We observed a sex-by-group interaction: females with TBI had significantly lower fractional anisotropy in the uncinate fasciculus than controls (𝞫=0.043), which coincided with more parent-reported behavioral problems (𝞫=-0.0027). CONCLUSIONS: WM disruption after msTBI is widespread, persistent, and influenced by demographic and clinical variables. Future work will test techniques for harmonizing neurocognitive data, enabling more advanced analyses to identify symptom clusters and clinically-meaningful patient subtypes.

Cognitive Recovery During Inpatient Rehabilitation Following Pediatric Traumatic Brain Injury: A Pediatric Brain Injury Consortium Study.

OBJECTIVES: To characterize the demographics, clinical course, and predictors of cognitive recovery among children and young adults receiving inpatient rehabilitation following pediatric traumatic brain injury (TBI). DESIGN: Retrospective observational, multicenter study. SETTING: Eight acute pediatric inpatient rehabilitation facilities in the United States with specialized programs for treating patients with TBI. PARTICIPANTS: Children and young adults (0-21 years) with TBI (n = 234) receiving inpatient rehabilitation. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Admission and discharge status assessed by the WeeFIM Cognitive Developmental Functional Quotient (DFQ) and Cognitive and Linguistic Scale (CALS). RESULTS: Patients admitted to pediatric inpatient rehabilitation are diverse in cognitive functioning. While the majority of patients make improvements, cognitive recovery is constrained for those admitted with the most severe cognitive impairments. Age, time since injury to rehabilitation admission, and admission WeeFIM Cognitive DFQ are significant predictors of cognitive functioning at discharge from inpatient rehabilitation. CONCLUSIONS: This work establishes a multicenter Pediatric Brain Injury Consortium and characterized the demographics and clinical course of cognitive recovery during inpatient rehabilitation of pediatric patients with TBI to aid in prospective study design.

Acute Imaging Findings Predict Recovery of Cognitive and Motor Function after Inpatient Rehabilitation for Pediatric Traumatic Brain Injury: A Pediatric Brain Injury Consortium Study.

Traumatic brain injury (TBI) is a major cause of morbidity and mortality in children; survivors experience long-term cognitive and motor deficits. To date, studies predicting outcome following pediatric TBI have primarily focused on acute behavioral responses and proxy measures of injury severity; unsurprisingly, these measures explain very little of the variance following heterogenous injury. In adults, certain acute imaging biomarkers help predict cognitive and motor recovery following moderate to severe TBI. This multi-center, retrospective study, characterizes the day-of-injury computed tomographic (CT) reports of pediatric, adolescent, and young adult patients (2 months to 21 years old) who received inpatient rehabilitation services for TBI (n = 247). The study also determines the prognostic utility of CT findings for cognitive and motor outcomes assessed by the Pediatric Functional Independence Measure, converted to age-appropriate developmental functional quotient (DFQ), at discharge from rehabilitation. Subdural hematomas (66%), contusions (63%), and subarachnoid hemorrhages (59%) were the most common lesions; the majority of subjects had less severe Rotterdam CT scores (88%, ≤ 3). After controlling for age, gender, mechanism of injury, length of acute hospital stay, and admission DFQ in multivariate regression analyses, the highest Rotterdam score (ß = -25.2, p < 0.01) and complete cisternal effacement (ß = -19.4, p < 0.05) were associated with lower motor DFQ, and intraventricular hemorrhage was associated with lower motor (ß = -3.7, p < 0.05) and cognitive DFQ (ß = -4.9, p < 0.05). These results suggest that direct detection of intracranial injury provides valuable information to aid in prediction of recovery after pediatric TBI, and needs to be accounted for in future studies of prognosis and intervention.