Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Traumatic Brain Injury l: Introduction01:28

Traumatic Brain Injury l: Introduction

1
DefinitionTraumatic brain injury, or TBI, is a disturbance of normal brain function induced by an external mechanical force, such as a direct blow to the head or a penetrating injury. It can affect both brain structure and function, producing a wide range of clinical outcomes. TBI is a heterogeneous condition, meaning its effects may differ based on the type, location, and severity of the injury.Basis of ClassificationTBI is classified based on severity, injury mechanism, or pathophysiology. In...
1

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Injury Severity Influences Long-Term Cognitive Control in Pediatric "Mild" Traumatic Brain Injury.

Human brain mapping·2026
Same author

Intentional Examination of the Social Determinants of Health in Clinical Practice and Research: An ACSM Call to Action Statement.

Current sports medicine reports·2026
Same author

Reduced Cerebral Blood Flow in the Early Chronic Phase of Recurrent Concussion Among Female Collegiate-Aged Athletes.

Human brain mapping·2026
Same author

Understanding Concussion Knowledge in Urban Community Settings: Perspectives of School Nurses and Youth Athletic Program Leaders.

The Journal of school nursing : the official publication of the National Association of School Nurses·2026
Same author

Post-concussion screen time duration and type and its association with symptom resolution in youth aged 11-17 years.

British journal of sports medicine·2026
Same author

QUANTIFYING HEAD IMPACT EXPOSURE, MECHANISMS AND KINEMATICS USING INSTRUMENTED MOUTHGUARDS IN MALE HIGH SCHOOL LACROSSE.

Biomedical sciences instrumentation·2026

Related Experiment Video

Updated: Apr 18, 2026

A Pediatric Concussion Model in Mice: Closed Head Injury with Long-Term Disorders (CHILD)
07:01

A Pediatric Concussion Model in Mice: Closed Head Injury with Long-Term Disorders (CHILD)

Published on: February 7, 2025

988

Early Predictors of Long-Term Outcomes in Pediatric "Mild" Traumatic Brain Injury: A Machine Learning Approach.

Upasana Nathaniel1, Erik B Erhardt2, Divyasree Sasi Kumar1

  • 1The Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, New Mexico, USA.

Journal of Neurotrauma
|April 17, 2026
PubMed
Summary

Pediatric mild traumatic brain injury (pmTBI) can lead to persistent symptoms after concussion (PSaC). Machine learning identified retrospective symptom burden and symptom provocation as key predictors of poor recovery in children.

Keywords:
machine learningmild traumatic brain injuryoutcome classificationpediatricpersisting symptoms after concussion

More Related Videos

Development of an Uncomplicated Mild Traumatic Brain Injury Model Modified by Weight-Drop Method and Evidenced by Magnetic Resonance Imaging
08:27

Development of an Uncomplicated Mild Traumatic Brain Injury Model Modified by Weight-Drop Method and Evidenced by Magnetic Resonance Imaging

Published on: April 11, 2025

1.1K
Assessing Changes in Synaptic Plasticity Using an Awake Closed-Head Injury Model of Mild Traumatic Brain Injury
09:49

Assessing Changes in Synaptic Plasticity Using an Awake Closed-Head Injury Model of Mild Traumatic Brain Injury

Published on: January 20, 2023

3.9K

Related Experiment Videos

Last Updated: Apr 18, 2026

A Pediatric Concussion Model in Mice: Closed Head Injury with Long-Term Disorders (CHILD)
07:01

A Pediatric Concussion Model in Mice: Closed Head Injury with Long-Term Disorders (CHILD)

Published on: February 7, 2025

988
Development of an Uncomplicated Mild Traumatic Brain Injury Model Modified by Weight-Drop Method and Evidenced by Magnetic Resonance Imaging
08:27

Development of an Uncomplicated Mild Traumatic Brain Injury Model Modified by Weight-Drop Method and Evidenced by Magnetic Resonance Imaging

Published on: April 11, 2025

1.1K
Assessing Changes in Synaptic Plasticity Using an Awake Closed-Head Injury Model of Mild Traumatic Brain Injury
09:49

Assessing Changes in Synaptic Plasticity Using an Awake Closed-Head Injury Model of Mild Traumatic Brain Injury

Published on: January 20, 2023

3.9K

Area of Science:

  • Neuroscience
  • Pediatrics
  • Machine Learning

Background:

  • Pediatric mild traumatic brain injury (pmTBI) affects many children, with up to one-third experiencing persistent symptoms after concussion (PSaC).
  • Accurate prognosis of PSaC is challenging due to low incidence rates and nonspecific symptoms, even in uninjured children.
  • Identifying reliable indicators for poor recovery in pediatric TBI is crucial for timely intervention.

Purpose of the Study:

  • To utilize machine learning to identify predictors of poor recovery in a large prospective cohort of children with pmTBI.
  • To assess the prognostic value of various assessments, including demographics, injury factors, symptom ratings, cognitive tasks, and neurosensory performance.
  • To determine the most robust indicators of persistent symptoms after concussion at 4 months and 1-year postinjury.

Main Methods:

  • A prospective cohort of 321 children with pmTBI underwent comprehensive assessments within 11 days of injury.
  • Machine learning models were employed, using variable importance scores from 150 bootstraps to identify key prognostic indicators.
  • Assessments included demographics, injury details, child/parent symptom reports, cognitive tests, objective performance measures, and symptom provocation on neurosensory tasks.

Main Results:

  • Retrospective self-report of symptom burden and vulnerability to symptom provocation were the strongest predictors of PSaC at both 4 months and 1 year.
  • These factors outperformed established risk scores in predicting persistent symptoms.
  • Other significant predictors included near point convergence, long-term memory, household size, and parental symptom burden reports.

Conclusions:

  • Retrospective symptom burden and acute symptom provocation are promising indicators for early risk stratification in pediatric TBI.
  • These measures, combined with existing risk scores, can potentially guide individualized care for children with pmTBI.
  • Further research is needed to integrate these findings into clinical practice and validate their effectiveness across different settings.