Exploratory Analysis of Concussion Recovery Trajectories using Multi-Modal Assessments and Serum Biomarkers

Zachary Roy; Sujit Subhash; Lien A. Bui; Bassam Hadi; Daniel B. Hier; Donald C. Wunsch; Gayla R. Olbricht; Tayo Obafemi-Ajayi

doi:10.1109/EMBC44109.2020.9176527

Exploratory Analysis of Concussion Recovery Trajectories using Multi-Modal Assessments and Serum Biomarkers

Zachary Roy
, Sujit Subhash
, Lien A. Bui
, Bassam Hadi
, Daniel B. Hier
, Donald C. Wunsch
, Gayla R. Olbricht
, Tayo Obafemi-Ajayi

Missouri State University

Research output: Contribution to journal › Article › peer-review

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.

Original language	American English
Journal	Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (2020)
DOIs	https://doi.org/10.1109/EMBC44109.2020.9176527
State	Published - Aug 27 2020

Disciplines

Computer Sciences
Electrical and Computer Engineering
Statistics and Probability

Access to Document

10.1109/EMBC44109.2020.9176527License: CC BY

https://doi.org/10.1109/EMBC44109.2020.9176527

Cite this

Roy, Z., Subhash, S., Bui, L. A., Hadi, B., Hier, D. B., Wunsch, D. C., Olbricht, G. R., & Obafemi-Ajayi, T. (2020). 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). https://doi.org/10.1109/EMBC44109.2020.9176527

Roy, Z, Subhash, S, Bui, LA, Hadi, B, Hier, DB , Wunsch, DC , Olbricht, GR & Obafemi-Ajayi, T 2020, '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). https://doi.org/10.1109/EMBC44109.2020.9176527

@article{94dfdf35de7e4e8fb61482024253dd67,

title = "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.",

author = "Zachary Roy and Sujit Subhash and Bui, \{Lien A.\} and Bassam Hadi and Hier, \{Daniel B.\} and Wunsch, \{Donald C.\} and Olbricht, \{Gayla R.\} and Tayo Obafemi-Ajayi",

year = "2020",

month = aug,

day = "27",

doi = "10.1109/EMBC44109.2020.9176527",

language = "American English",

journal = "Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (2020)",

}

TY - JOUR

T1 - Exploratory Analysis of Concussion Recovery Trajectories using Multi-Modal Assessments and Serum Biomarkers

AU - Roy, Zachary

AU - Subhash, Sujit

AU - Bui, Lien A.

AU - Hadi, Bassam

AU - Hier, Daniel B.

AU - Wunsch, Donald C.

AU - Olbricht, Gayla R.

AU - Obafemi-Ajayi, Tayo

PY - 2020/8/27

Y1 - 2020/8/27

N2 - 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.

AB - 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.

UR - https://scholarsmine.mst.edu/ele_comeng_facwork/4277

UR - https://doi.org/10.1109/EMBC44109.2020.9176527

U2 - 10.1109/EMBC44109.2020.9176527

DO - 10.1109/EMBC44109.2020.9176527

M3 - Article

JO - Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (2020)

JF - Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (2020)

ER -

Exploratory Analysis of Concussion Recovery Trajectories using Multi-Modal Assessments and Serum Biomarkers

Abstract

Disciplines

Access to Document

Other files and links

Fingerprint

Cite this