Literature DB >> 29064019

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

Andrew S Nencka1, Timothy B Meier2, Yang Wang3, L Tugan Muftuler2, Yu-Chien Wu4, Andrew J Saykin4, Jaroslaw Harezlak5, M Alison Brooks6, Christopher C Giza7, John Difiori8, Kevin M Guskiewicz9, Jason P Mihalik9, Stephen M LaConte10, Stefan M Duma11, Steven Broglio12, Thomas McAllister13, Michael A McCrea2, Kevin M Koch3.   

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.

Entities:  

Keywords:  Concussion; MRI; Quantitative imaging; Reproducibility; Stability; mTBI

Mesh:

Year:  2018        PMID: 29064019      PMCID: PMC6445663          DOI: 10.1007/s11682-017-9775-y

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  12 in total

1.  Resting-State fMRI Metrics in Acute Sport-Related Concussion and Their Association with Clinical Recovery: A Study from the NCAA-DOD CARE Consortium.

Authors:  Timothy B Meier; Monica Giraldo-Chica; Lezlie Y España; Andrew R Mayer; Jaroslaw Harezlak; Andrew S Nencka; Yang Wang; Kevin M Koch; Yu-Chien Wu; Andrew J Saykin; Christopher C Giza; Joshua Goldman; John P DiFiori; Kevin M Guskiewicz; Jason P Mihalik; Alison Brooks; Steven P Broglio; Thomas McAllister; Michael A McCrea
Journal:  J Neurotrauma       Date:  2019-09-18       Impact factor: 5.269

2.  Prevalence of Potentially Clinically Significant Magnetic Resonance Imaging Findings in Athletes with and without Sport-Related Concussion.

Authors:  Andrew P Klein; Julie E Tetzlaff; Joshua M Bonis; Lindsay D Nelson; Andrew R Mayer; Daniel L Huber; Jaroslaw Harezlak; Vincent P Mathews; John L Ulmer; Grant P Sinson; Andrew S Nencka; Kevin M Koch; Yu-Chien Wu; Andrew J Saykin; John P DiFiori; Christopher C Giza; Joshua Goldman; Kevin M Guskiewicz; Jason P Mihalik; Stefan M Duma; Steven Rowson; Alison Brooks; Steven P Broglio; Thomas McAllister; Michael A McCrea; Timothy B Meier
Journal:  J Neurotrauma       Date:  2019-02-25       Impact factor: 5.269

3.  Cerebral blood flow in acute concussion: preliminary ASL findings from the NCAA-DoD CARE consortium.

Authors:  Yang Wang; Andrew S Nencka; Timothy B Meier; Kevin Guskiewicz; Jason P Mihalik; M Alison Brooks; Andrew J Saykin; Kevin M Koch; Yu-Chien Wu; Lindsay D Nelson; Thomas W McAllister; Steven P Broglio; Michael A McCrea
Journal:  Brain Imaging Behav       Date:  2019-10       Impact factor: 3.978

4.  Acute White-Matter Abnormalities in Sports-Related Concussion: A Diffusion Tensor Imaging Study from the NCAA-DoD CARE Consortium.

Authors:  Sourajit Mitra Mustafi; Jaroslaw Harezlak; Kevin M Koch; Andrew S Nencka; Timothy B Meier; John D West; Christopher C Giza; John P DiFiori; Kevin M Guskiewicz; Jason P Mihalik; Stephen M LaConte; Stefan M Duma; Steven P Broglio; Andrew J Saykin; Michael McCrea; Thomas W McAllister; Yu-Chien Wu
Journal:  J Neurotrauma       Date:  2018-08-15       Impact factor: 5.269

5.  Structural neuroimaging in mild traumatic brain injury: A chronic effects of neurotrauma consortium study.

Authors:  Erin D Bigler; Tracy J Abildskov; Barry Eggleston; Brian A Taylor; David F Tate; Jo Ann Petrie; Mary R Newsome; Randall S Scheibel; Harvey Levin; William C Walker; Naomi Goodrich-Hunsaker; Nicholas J Tustison; James R Stone; Andrew R Mayer; Timothy D Duncan; Gerry E York; Elisabeth A Wilde
Journal:  Int J Methods Psychiatr Res       Date:  2019-05-23       Impact factor: 4.035

6.  Reproducibility of axonal water fraction derived from the spherical mean diffusion weighted signal.

Authors:  Jucai Song; Ho Ming Chow; Rahul Nikam; Vinay Kandula; Arabinda K Choudhary; Hua Li
Journal:  Magn Reson Imaging       Date:  2019-08-16       Impact factor: 2.546

7.  Prospective study of the association between sport-related concussion and brain morphometry (3T-MRI) in collegiate athletes: study from the NCAA-DoD CARE Consortium.

Authors:  Samuel A Bobholz; Benjamin L Brett; Lezlie Y España; Daniel L Huber; Andrew R Mayer; Jaroslaw Harezlak; Steven P Broglio; Thomas McAllister; Michael A McCrea; Timothy B Meier
Journal:  Br J Sports Med       Date:  2020-09-11       Impact factor: 13.800

8.  Quantitative magnetic resonance imaging towards clinical application in multiple sclerosis.

Authors:  Cristina Granziera; Jens Wuerfel; Frederik Barkhof; Massimiliano Calabrese; Nicola De Stefano; Christian Enzinger; Nikos Evangelou; Massimo Filippi; Jeroen J G Geurts; Daniel S Reich; Maria A Rocca; Stefan Ropele; Àlex Rovira; Pascal Sati; Ahmed T Toosy; Hugo Vrenken; Claudia A M Gandini Wheeler-Kingshott; Ludwig Kappos
Journal:  Brain       Date:  2021-06-22       Impact factor: 13.501

9.  Quantitative MRI Harmonization to Maximize Clinical Impact: The RIN-Neuroimaging Network.

Authors:  Anna Nigri; Stefania Ferraro; Claudia A M Gandini Wheeler-Kingshott; Michela Tosetti; Alberto Redolfi; Gianluigi Forloni; Egidio D'Angelo; Domenico Aquino; Laura Biagi; Paolo Bosco; Irene Carne; Silvia De Francesco; Greta Demichelis; Ruben Gianeri; Maria Marcella Lagana; Edoardo Micotti; Antonio Napolitano; Fulvia Palesi; Alice Pirastru; Giovanni Savini; Elisa Alberici; Carmelo Amato; Filippo Arrigoni; Francesca Baglio; Marco Bozzali; Antonella Castellano; Carlo Cavaliere; Valeria Elisa Contarino; Giulio Ferrazzi; Simona Gaudino; Silvia Marino; Vittorio Manzo; Luigi Pavone; Letterio S Politi; Luca Roccatagliata; Elisa Rognone; Andrea Rossi; Caterina Tonon; Raffaele Lodi; Fabrizio Tagliavini; Maria Grazia Bruzzone
Journal:  Front Neurol       Date:  2022-04-14       Impact factor: 4.086

Review 10.  Harmonization of Brain Diffusion MRI: Concepts and Methods.

Authors:  Maíra Siqueira Pinto; Roberto Paolella; Thibo Billiet; Pieter Van Dyck; Pieter-Jan Guns; Ben Jeurissen; Annemie Ribbens; Arnold J den Dekker; Jan Sijbers
Journal:  Front Neurosci       Date:  2020-05-06       Impact factor: 4.677

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