Objective Concussion Assessment Using MRI and Metabolomics
Correlating Advanced MRI Techniques With Neuropsychological Analysis and Immunosensing Assays for Assessment of Sport-related Mild Traumatic Brain Injuries (mTBI)
1 other identifier
observational
100
1 country
1
Brief Summary
Mild traumatic brain injury (mTBI), also referred to as concussions, affect millions of people around the world and can cause harmful long term effects. Unfortunately, concussions can be hard to diagnose and many people have lasting post-concussion symptoms such as headaches, difficulty concentrating, and light sensitivity. Recent studies have shown that advanced magnetic resonance imaging (MRI) techniques can identify subtle brain changes caused by a concussion. This study aims to track concussions over time measuring MRI brain scans and post-concussion symptoms to gain a better understand how the brain is affected in comparison to symptoms.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Aug 2023
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
August 11, 2023
CompletedFirst Submitted
Initial submission to the registry
August 12, 2023
CompletedFirst Posted
Study publicly available on registry
August 15, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 15, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 15, 2026
May 15, 2025
November 1, 2024
3.3 years
August 12, 2023
May 12, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Functional brain characteristics
Brain function will be examined based on the network connectivity and fractal complexity of the rsfMRI BOLD signal. This will be measured across known brain networks (e.g., Default Mode Network) and specific regions-of-interest (e.g., insula).
45-minute MRI sessions acutely, 3-months and 6-months post-concussion
Microstructural brain characteristics
Microstructural brain changes will be examined based on diffusion tensor imaging (DTI) metrics of fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity. This will be measured within specific regions-of-interest (e.g., insula).
45-minute MRI sessions acutely, 3-months and 6-months post-concussion
Post-concussion symptoms
Tracking of self-reported post-concussion symptoms using PCSS and DASS-42 questionnaires
Acutely, 3-months and 6-months post-concussion
Secondary Outcomes (1)
Metabolomics
Acutely, 3-months and 6-months post-concussion
Study Arms (2)
Concussion
Individuals who have recently sustained a concussion within the past 2-weeks.
Healthy Control
Individuals who have limited to no concussion history, and have not recently sustained a concussion.
Interventions
All participants will have 3 MRI scanning sessions to track brain health over time following the same protocol each time. The MRI sessions will occur acutely (\<2 weeks post-concussion), 3-months and 6-months post-concussion. A series of MRI scans will be acquired including T1, T2, T2-FLAIR, SWI, ASL, rsfMRI, and DTI scans to characterize structural, microstructural, functional and tissue perfusion changes within the brain over time.
At each study visit all participants will be asked to provide small urine and saliva samples for a metabolomic analysis using a high throughput multi-segment injection-capillary electrophoresis-mass spectrometry technology. This will allow for rapid non-targeted analysis of polar/hydrophilic metabolites, as well as non-polar/ionic lipids with stringent quality control.
The Post-Concussion Symptom Scale (PCSS) and the Depression Anxiety Stress Scale (DASS-42) will be used to assess the self-reported presence and severity of known concussion-related symptoms.
Eligibility Criteria
Participants for this prospective observational cohort will include 50 individuals who have recently sustained a concussion within the last 2 weeks. Participants will primarily be recruited based on their involvement in collision or contact sport, causing sport-related concussions. Fifty healthy control participants will be recruited with the intention to have age, sex and athletic status matching to the concussion participants.
You may qualify if:
- Aged between 9-50
- Recently sustained a concussion (within the last 2 weeks)
You may not qualify if:
- Aged 8 and younger or 51 and older
- Unable to provide consent (e.g., poor English language skills, etc.)
- History of liver or kidney disease
- MRI contraindications:
- Pacemaker
- Stent
- Joint prothesis
- Implanted devices
- Claustrophobia
- Pregnant
- Permanent piercings
- Chronic/abusive use of alcohol and/or illicit drugs
- Previous stroke or moderate/severe traumatic brain injury, subarachnoid hemorrhage, or intracranial hemorrhage
- Healthy control participants must not have a concussion history or recently sustained a concussion
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- St. Joseph's Healthcare Hamiltonlead
- McMaster Universitycollaborator
Study Sites (1)
Imaging Research Center at St. Joseph's Healthcare Hamilton
Hamilton, Ontario, L8N 4A6, Canada
Related Publications (26)
Asken BM, DeKosky ST, Clugston JR, Jaffee MS, Bauer RM. Diffusion tensor imaging (DTI) findings in adult civilian, military, and sport-related mild traumatic brain injury (mTBI): a systematic critical review. Brain Imaging Behav. 2018 Apr;12(2):585-612. doi: 10.1007/s11682-017-9708-9.
PMID: 28337734BACKGROUNDAzab S, Ly R, Britz-McKibbin P. Robust Method for High-Throughput Screening of Fatty Acids by Multisegment Injection-Nonaqueous Capillary Electrophoresis-Mass Spectrometry with Stringent Quality Control. Anal Chem. 2019 Feb 5;91(3):2329-2336. doi: 10.1021/acs.analchem.8b05054. Epub 2019 Jan 7.
PMID: 30570251BACKGROUNDBodin, D., Yeates, K. O., & Klamar, K. (2012). Definition and Classification of Concussion. In J. N. Apps & K. D. Walter (Eds.), Pediatric and Adolescent Concussion (pp. 9-19). New York, NY: Springer New York. https://doi.org/10.1007/978-0-387-89545-1_2
BACKGROUNDBonnelle V, Leech R, Kinnunen KM, Ham TE, Beckmann CF, De Boissezon X, Greenwood RJ, Sharp DJ. Default mode network connectivity predicts sustained attention deficits after traumatic brain injury. J Neurosci. 2011 Sep 21;31(38):13442-51. doi: 10.1523/JNEUROSCI.1163-11.2011.
PMID: 21940437BACKGROUNDCoronado VG, Haileyesus T, Cheng TA, Bell JM, Haarbauer-Krupa J, Lionbarger MR, Flores-Herrera J, McGuire LC, Gilchrist J. Trends in Sports- and Recreation-Related Traumatic Brain Injuries Treated in US Emergency Departments: The National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP) 2001-2012. J Head Trauma Rehabil. 2015 May-Jun;30(3):185-97. doi: 10.1097/HTR.0000000000000156.
PMID: 25955705BACKGROUNDDecuypere M, Klimo P Jr. Spectrum of traumatic brain injury from mild to severe. Surg Clin North Am. 2012 Aug;92(4):939-57, ix. doi: 10.1016/j.suc.2012.04.005. Epub 2012 Jun 5.
PMID: 22850156BACKGROUNDDematteo CA, Hanna SE, Mahoney WJ, Hollenberg RD, Scott LA, Law MC, Newman A, Lin CY, Xu L. "My child doesn't have a brain injury, he only has a concussion". Pediatrics. 2010 Feb;125(2):327-34. doi: 10.1542/peds.2008-2720. Epub 2010 Jan 18.
PMID: 20083526BACKGROUNDDiBattista A, McIntosh N, Lamoureux M, Al-Dirbashi OY, Chakraborty P, Britz-McKibbin P. Metabolic Signatures of Cystic Fibrosis Identified in Dried Blood Spots For Newborn Screening Without Carrier Identification. J Proteome Res. 2019 Mar 1;18(3):841-854. doi: 10.1021/acs.jproteome.8b00351. Epub 2019 Jan 7.
PMID: 30507207BACKGROUNDFiandaca MS, Mapstone M, Mahmoodi A, Gross T, Macciardi F, Cheema AK, Merchant-Borna K, Bazarian J, Federoff HJ. Plasma metabolomic biomarkers accurately classify acute mild traumatic brain injury from controls. PLoS One. 2018 Apr 20;13(4):e0195318. doi: 10.1371/journal.pone.0195318. eCollection 2018.
PMID: 29677216BACKGROUNDGessel LM, Fields SK, Collins CL, Dick RW, Comstock RD. Concussions among United States high school and collegiate athletes. J Athl Train. 2007 Oct-Dec;42(4):495-503.
PMID: 18174937BACKGROUNDHorn A, Ostwald D, Reisert M, Blankenburg F. The structural-functional connectome and the default mode network of the human brain. Neuroimage. 2014 Nov 15;102 Pt 1:142-51. doi: 10.1016/j.neuroimage.2013.09.069. Epub 2013 Oct 4.
PMID: 24099851BACKGROUNDJonkman LE, Rosenthal DM, Sormani MP, Miles L, Herbert J, Grossman RI, Inglese M. Gray Matter Correlates of Cognitive Performance Differ between Relapsing-Remitting and Primary-Progressive Multiple Sclerosis. PLoS One. 2015 Oct 20;10(10):e0129380. doi: 10.1371/journal.pone.0129380. eCollection 2015.
PMID: 26485710BACKGROUNDKarlin AM. Concussion in the pediatric and adolescent population: "different population, different concerns". PM R. 2011 Oct;3(10 Suppl 2):S369-79. doi: 10.1016/j.pmrj.2011.07.015.
PMID: 22035679BACKGROUNDKaut KP, DePompei R, Kerr J, Congeni J. Reports of head injury and symptom knowledge among college athletes: implications for assessment and educational intervention. Clin J Sport Med. 2003 Jul;13(4):213-21. doi: 10.1097/00042752-200307000-00004.
PMID: 12855923BACKGROUNDKerr ZY, Register-Mihalik JK, Kroshus E, Baugh CM, Marshall SW. Motivations Associated With Nondisclosure of Self-Reported Concussions in Former Collegiate Athletes. Am J Sports Med. 2016 Jan;44(1):220-5. doi: 10.1177/0363546515612082. Epub 2015 Nov 18.
PMID: 26582799BACKGROUNDLanglois JA, Rutland-Brown W, Wald MM. The epidemiology and impact of traumatic brain injury: a brief overview. J Head Trauma Rehabil. 2006 Sep-Oct;21(5):375-8. doi: 10.1097/00001199-200609000-00001.
PMID: 16983222BACKGROUNDLiu X, Zhang N, Chang C, Duyn JH. Co-activation patterns in resting-state fMRI signals. Neuroimage. 2018 Oct 15;180(Pt B):485-494. doi: 10.1016/j.neuroimage.2018.01.041. Epub 2018 Feb 21.
PMID: 29355767BACKGROUNDMak LE, Minuzzi L, MacQueen G, Hall G, Kennedy SH, Milev R. The Default Mode Network in Healthy Individuals: A Systematic Review and Meta-Analysis. Brain Connect. 2017 Feb;7(1):25-33. doi: 10.1089/brain.2016.0438. Epub 2017 Jan 9.
PMID: 27917679BACKGROUNDMcCrea M, Prichep L, Powell MR, Chabot R, Barr WB. Acute effects and recovery after sport-related concussion: a neurocognitive and quantitative brain electrical activity study. J Head Trauma Rehabil. 2010 Jul-Aug;25(4):283-92. doi: 10.1097/HTR.0b013e3181e67923.
PMID: 20611046BACKGROUNDOgawa S, Lee TM, Nayak AS, Glynn P. Oxygenation-sensitive contrast in magnetic resonance image of rodent brain at high magnetic fields. Magn Reson Med. 1990 Apr;14(1):68-78. doi: 10.1002/mrm.1910140108.
PMID: 2161986BACKGROUNDOresic M, Posti JP, Kamstrup-Nielsen MH, Takala RSK, Lingsma HF, Mattila I, Jantti S, Katila AJ, Carpenter KLH, Ala-Seppala H, Kyllonen A, Maanpaa HR, Tallus J, Coles JP, Heino I, Frantzen J, Hutchinson PJ, Menon DK, Tenovuo O, Hyotylainen T. Human Serum Metabolites Associate With Severity and Patient Outcomes in Traumatic Brain Injury. EBioMedicine. 2016 Oct;12:118-126. doi: 10.1016/j.ebiom.2016.07.015. Epub 2016 Jul 15.
PMID: 27665050BACKGROUNDRoozenbeek B, Maas AI, Menon DK. Changing patterns in the epidemiology of traumatic brain injury. Nat Rev Neurol. 2013 Apr;9(4):231-6. doi: 10.1038/nrneurol.2013.22. Epub 2013 Feb 26.
PMID: 23443846BACKGROUNDThurman DJ, Branche CM, Sniezek JE. The epidemiology of sports-related traumatic brain injuries in the United States: recent developments. J Head Trauma Rehabil. 1998 Apr;13(2):1-8. doi: 10.1097/00001199-199804000-00003.
PMID: 9575252BACKGROUNDYamamoto M, Pinto-Sanchez MI, Bercik P, Britz-McKibbin P. Metabolomics reveals elevated urinary excretion of collagen degradation and epithelial cell turnover products in irritable bowel syndrome patients. Metabolomics. 2019 May 20;15(6):82. doi: 10.1007/s11306-019-1543-0.
PMID: 31111238BACKGROUNDZhou Y, Milham MP, Lui YW, Miles L, Reaume J, Sodickson DK, Grossman RI, Ge Y. Default-mode network disruption in mild traumatic brain injury. Radiology. 2012 Dec;265(3):882-92. doi: 10.1148/radiol.12120748.
PMID: 23175546BACKGROUNDZuckerman SL, Kerr ZY, Yengo-Kahn A, Wasserman E, Covassin T, Solomon GS. Epidemiology of Sports-Related Concussion in NCAA Athletes From 2009-2010 to 2013-2014: Incidence, Recurrence, and Mechanisms. Am J Sports Med. 2015 Nov;43(11):2654-62. doi: 10.1177/0363546515599634. Epub 2015 Sep 1.
PMID: 26330572BACKGROUND
Biospecimen
Urine and saliva samples will be collected during each study visit for all participants to perform the metabolomic analyses. These samples will be stored in a -80 degree Celcius freezer until the time of batch analysis, for which the samples will be consumed. Any remaining biospecimens not consumed in the analyses will be disposed of appropraitely.
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Michael D Noseworthy, PhD, PEng
McMaster University
- PRINCIPAL INVESTIGATOR
Dinesh A Kumbhare, MD, PhD
University Health Network, Toronto
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Director of MRI Research, Imaging Research Centre
Study Record Dates
First Submitted
August 12, 2023
First Posted
August 15, 2023
Study Start
August 11, 2023
Primary Completion (Estimated)
December 15, 2026
Study Completion (Estimated)
December 15, 2026
Last Updated
May 15, 2025
Record last verified: 2024-11