Stability of MRI metrics in the advanced research core of the NCAA-DoD concussion assessment, research and education (CARE) consortium

Andrew S. Nencka, Timothy B. Meier, Yang Wang, L. Tugan Muftuler, Yu-Chien Wu, Andrew Saykin, Jaroslaw Harezlak, M. Alison Brooks, Christopher C. Giza, John Difiori, Kevin M. Guskiewicz, Jason P. Mihalik, Stephen M. LaConte, Stefan M. Duma, Steven Broglio, Thomas McAllister, Michael A. McCrea, Kevin M. Koch

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

The NCAA-DoD Concussion Assessment, Research, and Education (CARE) consortium is performing a large-scale, comprehensive study of sport related concussions in college student-athletes and military service academy cadets. The CARE “Advanced Research Core” (ARC), is focused on executing a cutting-edge investigative protocol on a subset of the overall CARE athlete population. Here, we present the details of the CARE ARC MRI acquisition and processing protocol along with preliminary analyzes of within-subject, between-site, and between-subject stability across a variety of MRI biomarkers. Two experimental datasets were utilized for this analysis. First, two “human phantom” subjects were imaged multiple times at each of the four CARE ARC imaging sites, which utilize equipment from two imaging vendors. Additionally, a control cohort of healthy athletes participating in non-contact sports were enrolled in the study at each CARE ARC site and imaged at four time points. Multiple morphological image contrasts were acquired in each MRI exam; along with quantitative diffusion, functional, perfusion, and relaxometry imaging metrics. As expected, the imaging markers were found to have varying levels of stability throughout the brain. Importantly, between-subject variance was generally found to be greater than within-subject and between-site variance. These results lend support to the expectation that cross-site and cross-vendor advanced quantitative MRI metrics can be utilized to improve analytic power in assessing sensitive neurological variations; such as those effects hypothesized to occur in sports-related-concussion. This stability analysis provides a crucial foundation for further work utilizing this expansive dataset, which will ultimately be freely available through the Federal Interagency Traumatic Brain Injury Research Informatics System.

Original languageEnglish (US)
Pages (from-to)1-20
Number of pages20
JournalBrain Imaging and Behavior
DOIs
StateAccepted/In press - Oct 24 2017

Fingerprint

Education
Research
Athletes
Sports
Informatics
Perfusion Imaging
Biomarkers
Students
Equipment and Supplies
Brain
Population

Keywords

  • Concussion
  • MRI
  • mTBI
  • Quantitative imaging
  • Reproducibility
  • Stability

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Cognitive Neuroscience
  • Clinical Neurology
  • Cellular and Molecular Neuroscience
  • Psychiatry and Mental health
  • Behavioral Neuroscience

Cite this

Stability of MRI metrics in the advanced research core of the NCAA-DoD concussion assessment, research and education (CARE) consortium. / Nencka, Andrew S.; Meier, Timothy B.; Wang, Yang; Muftuler, L. Tugan; Wu, Yu-Chien; Saykin, Andrew; Harezlak, Jaroslaw; Brooks, M. Alison; Giza, Christopher C.; Difiori, John; Guskiewicz, Kevin M.; Mihalik, Jason P.; LaConte, Stephen M.; Duma, Stefan M.; Broglio, Steven; McAllister, Thomas; McCrea, Michael A.; Koch, Kevin M.

In: Brain Imaging and Behavior, 24.10.2017, p. 1-20.

Research output: Contribution to journalArticle

Nencka, AS, Meier, TB, Wang, Y, Muftuler, LT, Wu, Y-C, Saykin, A, Harezlak, J, Brooks, MA, Giza, CC, Difiori, J, Guskiewicz, KM, Mihalik, JP, LaConte, SM, Duma, SM, Broglio, S, McAllister, T, McCrea, MA & Koch, KM 2017, 'Stability of MRI metrics in the advanced research core of the NCAA-DoD concussion assessment, research and education (CARE) consortium', Brain Imaging and Behavior, pp. 1-20. https://doi.org/10.1007/s11682-017-9775-y
Nencka, Andrew S. ; Meier, Timothy B. ; Wang, Yang ; Muftuler, L. Tugan ; Wu, Yu-Chien ; Saykin, Andrew ; Harezlak, Jaroslaw ; Brooks, M. Alison ; Giza, Christopher C. ; Difiori, John ; Guskiewicz, Kevin M. ; Mihalik, Jason P. ; LaConte, Stephen M. ; Duma, Stefan M. ; Broglio, Steven ; McAllister, Thomas ; McCrea, Michael A. ; Koch, Kevin M. / Stability of MRI metrics in the advanced research core of the NCAA-DoD concussion assessment, research and education (CARE) consortium. In: Brain Imaging and Behavior. 2017 ; pp. 1-20.
@article{9640ddde089e4e949df9b704cc1879e8,
title = "Stability of MRI metrics in the advanced research core of the NCAA-DoD concussion assessment, research and education (CARE) consortium",
abstract = "The NCAA-DoD Concussion Assessment, Research, and Education (CARE) consortium is performing a large-scale, comprehensive study of sport related concussions in college student-athletes and military service academy cadets. The CARE “Advanced Research Core” (ARC), is focused on executing a cutting-edge investigative protocol on a subset of the overall CARE athlete population. Here, we present the details of the CARE ARC MRI acquisition and processing protocol along with preliminary analyzes of within-subject, between-site, and between-subject stability across a variety of MRI biomarkers. Two experimental datasets were utilized for this analysis. First, two “human phantom” subjects were imaged multiple times at each of the four CARE ARC imaging sites, which utilize equipment from two imaging vendors. Additionally, a control cohort of healthy athletes participating in non-contact sports were enrolled in the study at each CARE ARC site and imaged at four time points. Multiple morphological image contrasts were acquired in each MRI exam; along with quantitative diffusion, functional, perfusion, and relaxometry imaging metrics. As expected, the imaging markers were found to have varying levels of stability throughout the brain. Importantly, between-subject variance was generally found to be greater than within-subject and between-site variance. These results lend support to the expectation that cross-site and cross-vendor advanced quantitative MRI metrics can be utilized to improve analytic power in assessing sensitive neurological variations; such as those effects hypothesized to occur in sports-related-concussion. This stability analysis provides a crucial foundation for further work utilizing this expansive dataset, which will ultimately be freely available through the Federal Interagency Traumatic Brain Injury Research Informatics System.",
keywords = "Concussion, MRI, mTBI, Quantitative imaging, Reproducibility, Stability",
author = "Nencka, {Andrew S.} and Meier, {Timothy B.} and Yang Wang and Muftuler, {L. Tugan} and Yu-Chien Wu and Andrew Saykin and Jaroslaw Harezlak and Brooks, {M. Alison} and Giza, {Christopher C.} and John Difiori and Guskiewicz, {Kevin M.} and Mihalik, {Jason P.} and LaConte, {Stephen M.} and Duma, {Stefan M.} and Steven Broglio and Thomas McAllister and McCrea, {Michael A.} and Koch, {Kevin M.}",
year = "2017",
month = "10",
day = "24",
doi = "10.1007/s11682-017-9775-y",
language = "English (US)",
pages = "1--20",
journal = "Brain Imaging and Behavior",
issn = "1931-7557",
publisher = "Springer New York",

}

TY - JOUR

T1 - Stability of MRI metrics in the advanced research core of the NCAA-DoD concussion assessment, research and education (CARE) consortium

AU - Nencka, Andrew S.

AU - Meier, Timothy B.

AU - Wang, Yang

AU - Muftuler, L. Tugan

AU - Wu, Yu-Chien

AU - Saykin, Andrew

AU - Harezlak, Jaroslaw

AU - Brooks, M. Alison

AU - Giza, Christopher C.

AU - Difiori, John

AU - Guskiewicz, Kevin M.

AU - Mihalik, Jason P.

AU - LaConte, Stephen M.

AU - Duma, Stefan M.

AU - Broglio, Steven

AU - McAllister, Thomas

AU - McCrea, Michael A.

AU - Koch, Kevin M.

PY - 2017/10/24

Y1 - 2017/10/24

N2 - The NCAA-DoD Concussion Assessment, Research, and Education (CARE) consortium is performing a large-scale, comprehensive study of sport related concussions in college student-athletes and military service academy cadets. The CARE “Advanced Research Core” (ARC), is focused on executing a cutting-edge investigative protocol on a subset of the overall CARE athlete population. Here, we present the details of the CARE ARC MRI acquisition and processing protocol along with preliminary analyzes of within-subject, between-site, and between-subject stability across a variety of MRI biomarkers. Two experimental datasets were utilized for this analysis. First, two “human phantom” subjects were imaged multiple times at each of the four CARE ARC imaging sites, which utilize equipment from two imaging vendors. Additionally, a control cohort of healthy athletes participating in non-contact sports were enrolled in the study at each CARE ARC site and imaged at four time points. Multiple morphological image contrasts were acquired in each MRI exam; along with quantitative diffusion, functional, perfusion, and relaxometry imaging metrics. As expected, the imaging markers were found to have varying levels of stability throughout the brain. Importantly, between-subject variance was generally found to be greater than within-subject and between-site variance. These results lend support to the expectation that cross-site and cross-vendor advanced quantitative MRI metrics can be utilized to improve analytic power in assessing sensitive neurological variations; such as those effects hypothesized to occur in sports-related-concussion. This stability analysis provides a crucial foundation for further work utilizing this expansive dataset, which will ultimately be freely available through the Federal Interagency Traumatic Brain Injury Research Informatics System.

AB - The NCAA-DoD Concussion Assessment, Research, and Education (CARE) consortium is performing a large-scale, comprehensive study of sport related concussions in college student-athletes and military service academy cadets. The CARE “Advanced Research Core” (ARC), is focused on executing a cutting-edge investigative protocol on a subset of the overall CARE athlete population. Here, we present the details of the CARE ARC MRI acquisition and processing protocol along with preliminary analyzes of within-subject, between-site, and between-subject stability across a variety of MRI biomarkers. Two experimental datasets were utilized for this analysis. First, two “human phantom” subjects were imaged multiple times at each of the four CARE ARC imaging sites, which utilize equipment from two imaging vendors. Additionally, a control cohort of healthy athletes participating in non-contact sports were enrolled in the study at each CARE ARC site and imaged at four time points. Multiple morphological image contrasts were acquired in each MRI exam; along with quantitative diffusion, functional, perfusion, and relaxometry imaging metrics. As expected, the imaging markers were found to have varying levels of stability throughout the brain. Importantly, between-subject variance was generally found to be greater than within-subject and between-site variance. These results lend support to the expectation that cross-site and cross-vendor advanced quantitative MRI metrics can be utilized to improve analytic power in assessing sensitive neurological variations; such as those effects hypothesized to occur in sports-related-concussion. This stability analysis provides a crucial foundation for further work utilizing this expansive dataset, which will ultimately be freely available through the Federal Interagency Traumatic Brain Injury Research Informatics System.

KW - Concussion

KW - MRI

KW - mTBI

KW - Quantitative imaging

KW - Reproducibility

KW - Stability

UR - http://www.scopus.com/inward/record.url?scp=85032009818&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85032009818&partnerID=8YFLogxK

U2 - 10.1007/s11682-017-9775-y

DO - 10.1007/s11682-017-9775-y

M3 - Article

C2 - 29064019

AN - SCOPUS:85032009818

SP - 1

EP - 20

JO - Brain Imaging and Behavior

JF - Brain Imaging and Behavior

SN - 1931-7557

ER -