Evidence map›Paper›PMID 29064019›Full record

ArticleBrain imaging and behavior2018

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 J Saykin, Jaroslaw Harezlak, M Alison Brooks, Christopher C Giza, John Difiori and 8 more

Abstract readMulticenter Study
In one paragraph

Article in Brain imaging and behavior, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 8 institutions in 1 country.

Andrew S NenckaDepartment of Radiology, Medical College of Wisconsin, Milwaukee, WI, USA. anencka@mcw.edu.ORCID http://orcid.org/0000-0001-5268-2718
Timothy B MeierDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA.
Yang WangDepartment of Radiology, Medical College of Wisconsin, Milwaukee, WI, USA.
L Tugan MuftulerDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA.
Yu-Chien WuDepartment of Radiology and Imaging Science, Indiana University School of Medicine, Indianapolis, IN, USA.
Andrew J SaykinDepartment of Radiology and Imaging Science, Indiana University School of Medicine, Indianapolis, IN, USA.
Jaroslaw HarezlakDepartment of Epidemiology and Biostatistics, Indiana University, Bloomington, IN, USA.
M Alison BrooksDepartment of Orthopedics and Rehabilitation, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Christopher C GizaDepartment of Pediatrics and Neurosurgery, UCLA Steve Tisch BrainSPORT Program, University of California Los Angeles, Los Angeles, CA, USA.
John DifioriDepartment of Orthopedics, University of California Los Angeles, Los Angeles, CA, USA.
Kevin M GuskiewiczDepartment of Exercise and Sport Science, University of North Carolina, Chapel Hill, NC, USA.
Jason P MihalikDepartment of Exercise and Sport Science, University of North Carolina, Chapel Hill, NC, USA.
Stephen M LaConteVirginia Tech Carilon Research Institute, Virginia Tech, Blacksburg, VA, USA.
Stefan M DumaInstitute for Critical Technology and Applied Science, Virginia Tech, Blacksburg, VA, USA.
Steven BroglioDepartment of Kinesiology, University of Michigan, Ann Arbor, MI, USA.
Thomas McAllisterDepartment of Psychiatry, Indiana University School of Medicine, Bloomington, IN, USA.
Michael A McCreaDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA.
Kevin M KochDepartment of Radiology, Medical College of Wisconsin, Milwaukee, WI, USA.
Medical College of Wisconsin · USIndiana University Bloomington · USIndiana University School of MedicineUniversity of California, Los Angeles · USUniversity of North Carolina at Chapel Hill · USVirginia Tech · USUniversity of Michigan · USUniversity of Wisconsin–Madison · US

Funding

Research Education ComponentP30AG010133 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI FOROUD, TATIANA M. · 1991 to 2020
$37.3M
Modeling Axonal Density and Inflammation-Associated Cellularity in Alzheimer’s Disease Using Hybrid Diffusion ImagingR01AG053993 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI WU, YU-CHIEN · 2016 to 2020
$2.0M
NIA NIH HHS P30 AG010133NIA NIH HHS R01 AG053993U.S. Department of Defense (US) NCAA-DoD Grand Alliance
6 · The paper itself

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.

Indexed as

Athletic InjuriesBrainBrain ConcussionFemaleHumansImage Processing, Computer-AssistedLongitudinal StudiesMagnetic Resonance ImagingMaleMilitary PersonnelPreliminary DataReproducibility of ResultsRestSoftwareStudentsUniversitiesConcussionMRImTBIQuantitative imagingReproducibilityStability

Identifiers

PMID29064019
PMCPMC6445663
OpenAlexW2766697264

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.