Newsletter SignupSearch


Pre-Clinical Common Data Elements for Traumatic Brain Injury Research: Progress and Use Cases

Journal of Neurotrauma. 2021; May 15;38(10):1399-1410.
Authored By:
Michelle C. LaPlaca, J. Russell Huie, Hasan B. Alam, et al.
Traumatic brain injury (TBI) is an extremely complex condition due to heterogeneity in injury mechanism, underlying conditions, and secondary injury. Pre-clinical and clinical researchers face challenges with reproducibility that negatively impact translation and therapeutic development for improved TBI patient outcomes. To address this challenge, TBI Pre-clinical Working Groups expanded upon previous efforts and developed common data elements (CDEs) to describe the most frequently used experimental parameters. The working groups created 913 CDEs to describe study metadata, animal characteristics, animal history, injury models, and behavioral tests. Use cases applied a set of commonly used CDEs to address and evaluate the degree of missing data resulting from combining legacy data from different laboratories for two different outcome measures (Morris water maze [MWM]; RotorRod/Rotarod). Data were cleaned and harmonized to Form Structures containing the relevant CDEs and subjected to missing value analysis. For the MWM dataset (358 animals from five studies, 44 CDEs), 50% of the CDEs contained at least one missing value, while for the Rotarod dataset (97 animals from three studies, 48 CDEs), over 60% of CDEs contained at least one missing value. Overall, 35% of values were missing across the MWM dataset, and 33% of values were missing for the Rotarod dataset, demonstrating both the feasibility and the challenge of combining legacy datasets using CDEs. The CDEs and the associated forms created here are available to the broader pre-clinical research community to promote consistent and comprehensive data acquisition, as well as to facilitate data sharing and formation of data repositories. In addition to addressing the challenge of standardization in TBI pre-clinical studies, this effort is intended to bring attention to the discrepancies in assessment and outcome metrics among pre-clinical laboratories and ultimately accelerate translation to clinical research.
Published in:
Journal of Neurotrauma

More Publications

September 9, 2022


Deep Learning for Daily Monitoring of Parkinson’s Disease Outside the Clinic Using Wearable Sensors

June 1, 2022

JAMA Network Open

Association of Posttraumatic Stress Disorder With Accelerated Cognitive Decline in Middle-aged Women

March 23, 2022

Journal of Neurotrauma

A Framework to Advance Biomarker Development in the Diagnosis, Outcome Prediction, and Treatment of Traumatic Brain Injury

February 26, 2022

Translational Psychiatry

Plasma biomarkers associated with deployment trauma and its consequences in post-9/11 era veterans: initial findings from the TRACTS longitudinal cohort

January 31, 2022

Biological Psychiatry

Noncoding RNAs: Stress, Glucocorticoids, and Posttraumatic Stress Disorder

December 1, 2021

Neurotrauma Reports

Neurotrauma Reports Special Collection: Null Hypothesis Initiative

Cohen Veterans Bioscience - Advancing Brain Health

Get the latest updates in TBI and PTSD research

Sign up for our newsletter to learn how we’re advancing solutions for brain trauma.

This field is for validation purposes and should be left unchanged.