Exploratory Analysis of Concussion Recovery Trajectories using Multi-Modal Assessments and Serum Biomarkers
Abstract
Clinicians need better tools to assess severity, prognosis, and recovery from mild Traumatic Brain Injury (mTBI), which can cause long term impairment. To enable better mTBI outcome prediction, an initial step is to analyze the trajectory of recovery metrics over time. This study provides an assessment of recovery trajectories of mTBI while incorporating heterogeneity of individual responses. We analyze the trajectories over multiple discrete time points from baseline to 6 months post injury using a combination of neurocognitive and postural stability assessments and serum biomarkers. The data, obtained from FITBIR, consists of concussed subjects and a matched control group, to allow for comparison in prognostic assessment. Outcomes derived from this exploratory analysis will aid future studies in developing a mTBI recovery timeline model.Clinical relevance - This study further informs clinicians as to the recovery trajectory of clinical measures and biomarkers after mTBI to support return to play decisions. GFAP biomarker and measures related to balance, memory, orientation, and concentration were significantly different than controls early after mTBI.
Recommended Citation
Z. Roy et al., "Exploratory Analysis of Concussion Recovery Trajectories using Multi-Modal Assessments and Serum Biomarkers," Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (2020), pp. 5514 - 5518, Institute of Electrical and Electronics Engineers (IEEE), Aug 2020.
The definitive version is available at https://doi.org/10.1109/EMBC44109.2020.9176527
Meeting Name
42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2020 (2020: Jul. 20-24, Virtual)
Department(s)
Electrical and Computer Engineering
Second Department
Computer Science
Third Department
Mathematics and Statistics
Research Center/Lab(s)
Center for High Performance Computing Research
International Standard Book Number (ISBN)
978-172811990-8
International Standard Serial Number (ISSN)
1557-170X
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2020 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
27 Aug 2020