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CompletedNCT03011983Updated Jul 24, 2018

Neural Injury in Adolescents With Concussion

An observational study in Mild Traumatic Brain Injury, Concussion, Mild and Acute Brain Injury, sponsored by Children's Hospital of Philadelphia. Completed at 1 site in United States. Open to participants aged 12 Years to 17 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2018-07-24.

Sponsored by Children's Hospital of Philadelphia · Observational

Study type
Observational
Model
Case-control
Time perspective
Prospective
Enrollment
4
Ages
12 Years to 17 Years
Sex
All
01

Study summary

This study utilizes multimodal brain imaging to obtain quantitative biomarkers of brain injury and to improve understanding of the biological basis of brain pathology in adolescents with concussion. Adolescents with a concussion will undergo neuroimaging and neuropsychology assessments acutely and four months after injury.

Read the detailed description

Concussion is a highly prevalent condition in adolescence, but it remains a clinical diagnosis that largely relies on subjective patient report with no reliable objective biomarkers for diagnosis. Traditional clinical brain imaging has not been found useful for concussion as the pathology is generally not visible on conventional acute MRI or CT. The proposed study addresses this gap in concussion diagnosis and management by examining the sensitivity of magnetoencephalography (MEG) for identifying areas of brain injury through detection of abnormal neural activity (slowing) in adolescents with concussion compared to healthy controls. Adolescents with a concussion will complete neuroimaging (MEG and MRI) and neuropsychology assessments at two time points within ten days and then again 4 months post-injury. Healthy controls will complete neuroimaging and neuropsychology assessments at a single time point.

02

Conditions studied

  • Mild Traumatic Brain Injury
  • Concussion, Mild
  • Acute Brain Injury

Keywords

  • Magnetoencephalography (MEG)
  • Magnetic resonance imaging (MRI)
03

In context

Brain Injuries

2,113 studies on the registry are indexed under Brain Injuries; 385 are open to participants now.

This study's enrollment of 4 is below the median of 100 across 690 observational studies indexed under Brain Injuries.

Browse Brain Injuries studies →

Lead sponsor

Children's Hospital of Philadelphia is the lead sponsor of 480 studies on the registry; 85 are open to participants now.

Of its 28 completed or terminated interventional studies of FDA-regulated products, 22 (79%) have results posted.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
12 Years to 17 Years
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Adolescents with a recent concussion will be recruited from outpatient clinics in orthopedics and trauma surgery. Healthy controls will be obtained via volunteers and previous brain imaging research studies.

Inclusion criteria

  • Diagnosis of concussion and within 2 weeks of injury (case subjects)
  • No history of diagnosed concussion (control subjects)

Exclusion criteria

Exclusion Criteria:

  • Head injury within 1 year of recent concussion (case subjects)
  • History of neurologic, psychiatric, developmental or learning disorders (all subjects)
05

Study design

Observational model
Case-control
Time perspective
Prospective
Enrollment
4 participants (actual)
Patient registry
No

Groups and cohorts

  • Adolescents With Concussion

    Adolescents with a concussion (n=120) will undergo neuroimaging (MEG and MRI) and neuropsychology assessments at two time points in the acute and chronic periods after injury, respectively. Brain imaging injury measures will be compared to a control normative database we will create. These brain measures will also be associated with cognitive and clinical outcomes.

    Device: MEG · Device: MRI · Behavioral: Neuropsychology assessment

  • Adolescents Without Concussion

    Age- and gender-matched healthy controls (n=160) will be recruited to establish a normative database of whole-brain slow-wave maps from MEG resting-state data as well as white-matter diffusion measures from MRI.

    Device: MEG · Device: MRI · Behavioral: Neuropsychology assessment

Interventions

  • DeviceMEG

    MEG is a non-invasive functional imaging technique that can measure slow-wave neural activity.

  • DeviceMRI

    MRI is a non-invasive imaging modality that provides measures of brain structure.

  • BehavioralNeuropsychology assessment

    A battery of tests will be administered by a neuropsychologist to evaluate the cognitive function of adolescents with concussion compared to healthy controls.

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What researchers measure

Primary outcomes

  1. Difference in MEG Whole-Brain Slow-Wave Sensitivity between Controls and Concussion Patients

    Whole-brain, resting-state slow-wave maps of whole brain activity will be obtained from the MEG imaging in both adolescents with a concussion and healthy controls. Control images will be analyzed to determine a whole brain z-score value that includes typically developing controls below the 95th percentile, the z-score threshold for this group). Z-score images for the adolescents with concussion will be obtained and the number of adolescents with concussion above this z-score threshold will be determined, and compared to the healthy controls. The sensitivity and specificity of this method determined.

    Time frame: Up to 2 months

Secondary outcomes

  1. Difference in MRI White-Matter Diffusion Measures between Controls and Concussion Patients

    MRI diffusion data will be collected to examine associations between abnormal brain slowing and white matter damage in the adolescents with a concussion versus controls. Regions showing abnormal white matter diffusion will be comparing to normative control diffusion data.

    Time frame: Up to 2 months

07

Study locations

1 site
  • Children's Hospital of Philadelphia
    Philadelphia, Pennsylvania 19104, United States
08

References and documents

Publications

  • Huang MX, Theilmann RJ, Robb A, Angeles A, Nichols S, Drake A, D'Andrea J, Levy M, Holland M, Song T, Ge S, Hwang E, Yoo K, Cui L, Baker DG, Trauner D, Coimbra R, Lee RR. Integrated imaging approach with MEG and DTI to detect mild traumatic brain injury in military and civilian patients. J Neurotrauma. 2009 Aug;26(8):1213-26. doi: 10.1089/neu.2008.0672. PubMed 19385722 ↗
  • Huang MX, Nichols S, Robb A, Angeles A, Drake A, Holland M, Asmussen S, D'Andrea J, Chun W, Levy M, Cui L, Song T, Baker DG, Hammer P, McLay R, Theilmann RJ, Coimbra R, Diwakar M, Boyd C, Neff J, Liu TT, Webb-Murphy J, Farinpour R, Cheung C, Harrington DL, Heister D, Lee RR. An automatic MEG low-frequency source imaging approach for detecting injuries in mild and moderate TBI patients with blast and non-blast causes. Neuroimage. 2012 Jul 16;61(4):1067-82. doi: 10.1016/j.neuroimage.2012.04.029. Epub 2012 Apr 20. PubMed 22542638 ↗
  • Lewine JD, Davis JT, Bigler ED, Thoma R, Hill D, Funke M, Sloan JH, Hall S, Orrison WW. Objective documentation of traumatic brain injury subsequent to mild head trauma: multimodal brain imaging with MEG, SPECT, and MRI. J Head Trauma Rehabil. 2007 May-Jun;22(3):141-55. doi: 10.1097/01.HTR.0000271115.29954.27. PubMed 17510590 ↗
  • Huang MX, Nichols S, Baker DG, Robb A, Angeles A, Yurgil KA, Drake A, Levy M, Song T, McLay R, Theilmann RJ, Diwakar M, Risbrough VB, Ji Z, Huang CW, Chang DG, Harrington DL, Muzzatti L, Canive JM, Christopher Edgar J, Chen YH, Lee RR. Single-subject-based whole-brain MEG slow-wave imaging approach for detecting abnormality in patients with mild traumatic brain injury. Neuroimage Clin. 2014 Jun 16;5:109-19. doi: 10.1016/j.nicl.2014.06.004. eCollection 2014. PubMed 25009772 ↗

Individual participant data

Plan to share: No

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 24, 2018, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT03011983
Lead sponsor
Children's Hospital of Philadelphia
Responsible party
Sponsor
First posted
Jan 6, 2017
Start date
Apr 11, 2017
Primary completion
Jun 1, 2018
Completion
Jun 1, 2018
Last update
Jul 24, 2018

Study contacts

Christina L Master, MD
principal investigator · Children's Hospital of Philadelphia

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Jul 2018. You cannot join it, but the record below documents what was studied.

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