A Multi-Modality Magnetic Resonance Imaging Model for Predicting Traumatic Brain Injury Outcomes


  • Shruti Vadlakonda River Hill High School
  • Dr. Raymond Koehler Johns Hopkins University School of Medicine
  • Janine Sharbaugh River Hill High School




MRI, TBI, Traumatic Brain Injury, Magnetic Resonance Imaging, Behavioral Tests, Prognostic Model, Outcomes, Multimodality


Traumatic Brain Injury (TBI) is a heterogenous injury and a leading cause of long-term deficits and mortality in the United States. In order to improve TBI outcomes, an effective prognostication tool is necessary. Standard imaging modalities, computerized tomography (CT) and magnetic resonance imaging (MRI), have a limited ability to predict TBI outcomes. Currently, advanced MRI techniques are being studied for their efficacy. The aim of this study is to determine whether a multimodality MRI approach is superior to a single modality MRI approach in determining clinical outcomes of TBI. A secondary data analysis was conducted on TBI data obtained from 31 rat brains; 3-day MRI data in the Ipsilateral Perilesion Cortex and 28-day Behavioral Test data (Novel Object Recognition, Barnes Maze, and Open Field Test Total Distance and Total Act Time) were analyzed. A Best Subset Analysis was conducted for each of the behavioral tests. Three out of four behavioral tests show improved adjusted R2 values for models containing more than one imaging modality. A Multiple Linear Regression Analysis was then conducted on the MRIs from the highest predictive model determined by Best Subset Analysis. This analysis shows that a multimodality MRI approach can explain 25.2% of the variability in behavioral outcomes in the Novel Object Recognition Test with a P value of 0.012. Thus, the study demonstrates that a multi-modality MRI approach has a potential for effectively diagnosing and predicting TBI outcomes.


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Author Biographies

Dr. Raymond Koehler, Johns Hopkins University School of Medicine

  • Professor of Anesthesiology and Critical Care Medicine
Departments / Divisions
  • Anesthesiology and Critical Care Medicine

Janine Sharbaugh, River Hill High School

Advanced Research Teacher at River Hill High School, Clarksville, MD, U.S.A.

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How to Cite

Vadlakonda, S., Koehler, R., & Sharbaugh, J. (2023). A Multi-Modality Magnetic Resonance Imaging Model for Predicting Traumatic Brain Injury Outcomes. Journal of Student Research, 12(4). https://doi.org/10.47611/jsrhs.v12i4.5197



HS Research Articles