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Updated: Aug 11, 2026

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Controlled Cortical Impact Model for Traumatic Brain Injury
Published on: August 5, 2014
Reserves, Injury Severity, and Outcomes in Traumatic Brain Injury: A CENTER-TBI Observational Study
Natascha Ekdahl1,2,3, Marika C Möller1,4, Lindsay Wilson5
1Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden.
Annals of Clinical and Translational Neurology
|August 9, 2026
Summary
Brain reserve proxies like education and psychiatric history generally predict better traumatic brain injury (TBI) outcomes, regardless of injury severity. However, age impacts cognition differently across TBI severities.
Area of Science:
- Neuroscience
- Neurology
- Trauma research
Background:
- Traumatic brain injury (TBI) outcomes are influenced by the brain's reserve capacity.
- Understanding how pre-injury factors interact with injury severity is crucial for predicting recovery.
Purpose of the Study:
- To investigate if pre-injury brain reserve proxies (education, age, psychiatric history) predict outcomes differently across TBI severity levels.
- To determine if the impact of TBI severity varies across functional, symptomatic, and cognitive outcomes.
Main Methods:
- Observational cohort study using CENTER-TBI data (n=3377).
- Assessed functional outcome (GOSE), symptoms (RPQ), and cognition.
- Categorized TBI severity (mild, moderate, severe) and analyzed interactions with reserve proxies.
Main Results:
- Higher education and no psychiatric history predicted better outcomes across all TBI severities.
- Age influenced cognition less in severe TBI; younger age correlated with better functional and cognitive scores.
- Symptom burden (RPQ) peaked in middle-aged adults and plateaued in moderate TBI; cognitive performance varied non-linearly with severity.
Conclusions:
- Pre-injury reserve significantly predicts TBI recovery, largely independent of injury severity.
- Functional outcomes show a graded response to increasing TBI severity.
- Symptom and cognitive impairments present complex, non-linear patterns across different TBI severity levels.
