The ENIGMA Brain Injury working group: approach, challenges, and potential benefits

Wilde, Elisabeth A.; Dennis, Emily L.; Tate, David F.

doi:10.1007/s11682-021-00450-7

Cited by 14 publications

(8 citation statements)

References 43 publications

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“…The ENIGMA Pediatric msTBI Working Group is a subgroup of the ENIGMA Brain Injury Working Group, 20,21 an international collaboration among neuroimaging researchers focused on TBI. 17 The strategy behind this collaboration is to leverage the existing framework of the ENIGMA Consortium 22 to answer questions that can be addressed only with large samples.…”

Section: Study Design/contextmentioning

confidence: 99%

White Matter Disruption in Pediatric Traumatic Brain Injury

Dennis

Caeyenberghs²,

Hoskinson³

et al. 2021

Neurology

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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.

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Section: Study Design/contextmentioning

confidence: 99%

White Matter Disruption in Pediatric Traumatic Brain Injury

Dennis

Caeyenberghs²,

Hoskinson³

et al. 2021

Neurology

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“…This secondary mega analysis draws from a range of military and civilian studies. We petitioned collaborators for item level data, drawing from the psychiatric genomics consortium and the enhancing neuroimaging genetics through meta-analysis consortium (PGC-ENIGMA) PTSD working group (Logue et al, 2018), the ENIGMA brain injury working group (Wilde et al, 2021), and the long-term impact of military-relevant brain injury consortium—chronic effects of neurotrauma consortium (LIMBIC-CENC; Cifu & Dixon, 2016). We obtained 17 datasets that performed different combinations of PTSD assessments.…”

Section: Methodsmentioning

confidence: 99%

Harmonizing PTSD severity scales across instruments and sites.

Kennedy¹,

Dennis²,

Lindsey³

et al. 2023

Neuropsychology

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Objective: The variety of instruments used to assess posttraumatic stress disorder (PTSD) allows for flexibility, but also creates challenges for data synthesis. The objective of this work was to use a multisite mega analysis to derive quantitative recommendations for equating scores across measures of PTSD severity. Method: Empirical Bayes harmonization and linear models were used to describe and mitigate site and covariate effects. Quadratic models for converting scores across PTSD assessments were constructed using bootstrapping and tested on hold out data. Results: We aggregated 17 data sources and compiled an n = 5,634 sample of individuals who were assessed for PTSD symptoms. We confirmed our hypothesis that harmonization and covariate adjustments would significantly improve inference of scores across instruments. Harmonization significantly reduced cross-dataset variance (28%, p < .001), and models for converting scores across instruments were well fit (median R2 = 0.985) with an average root mean squared error of 1.46 on sum scores. Conclusions: These methods allow PTSD symptom severity to be placed on multiple scales and offers interesting empirical perspectives on the role of harmonization in the behavioral sciences.

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“…It has since expanded to include numerous working groups focused on identifying reliable neuroimaging biomarkers for various psychiatric and neurological disorders (with or without genetic data). The ENIGMA Brain Injury working group was formed in 2016 and now includes multiple subgroups based on patient population or imaging modality (Wilde et al, 2019). ENIGMA is not a data repository, rather a collaboration framework, for which sharing raw data is optional.…”

Section: Federal Interagency Tbi Research (Fitbir) Informatics Systemmentioning

confidence: 99%

The Role of Neuroimaging in Evolving TBI Research and Clinical Practice

Dennis

Keleher

Tate

et al. 2023

Preprint

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Neuroimaging technologies such as computed tomography (CT) and magnetic resonance imaging (MRI) have been widely adopted in the clinical diagnosis and management of traumatic brain injury (TBI), particularly at the more acute and severe levels of injury. Additionally, a number of advanced applications of MRI have been employed in TBI-related clinical research with great promise, and researchers have used these techniques to better understand underlying mechanisms, progression of secondary injury and tissue perturbation over time, and relation of focal and diffuse injury to later outcome. However, the acquisition and analysis time, the cost of these and other imaging modalities, and the need for specialized expertise have represented historical barriers in extending these tools in clinical practice. While group studies are important in detecting patterns, heterogeneity among patient presentation and limited sample sizes from which to compare individual level data to well-developed normative data have also played a role in the limited translatability of imaging to wider clinical application. Fortunately, the field of TBI has benefitted from increased public and scientific awareness of the prevalence and impact of TBI, particularly in head injury related to recent military conflicts and sport-related concussion. This awareness parallels an increase in federal funding in the United States and other countries allocated to investigation in these areas. In this article we summarize funding and publication trends since the mainstream adoption of imaging in TBI to elucidate evolving trends and priorities in the application of different techniques and patient populations. We also review recent and ongoing efforts to advance the field through promoting reproducibility, data sharing, big data analytic methods, and team science. Finally, we discuss international collaborative efforts to combine and harmonize neuroimaging, cognitive, and clinical data, both prospectively and retrospectively. Each of these represent unique, but related, efforts that facilitate closing gaps between the use of advanced imaging solely as a research tool and the use of it in clinical diagnosis, prognosis, and treatment planning and monitoring.

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The ENIGMA Brain Injury working group: approach, challenges, and potential benefits

Cited by 14 publications

References 43 publications

White Matter Disruption in Pediatric Traumatic Brain Injury

White Matter Disruption in Pediatric Traumatic Brain Injury

Harmonizing PTSD severity scales across instruments and sites.

The Role of Neuroimaging in Evolving TBI Research and Clinical Practice

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