Investigating Brain White Matter in Football Players with and without Concussion Using a Biophysical Model from Multishell Diffusion MRI

References

1. 1.↵
   2. Chauhan NB

   . Chronic neurodegenerative consequences of traumatic brain injury. Restor Neurol Neurosci 2014;32:337–65 doi:10.3233/RNN-130354 pmid:24398724

   Abstract/FREE Full Text
2. 2.↵
   1. Graham R,
   2. Rivara FP,
   3. Ford MA, et al

   Committee on Sports-Related Concussions in Youth; Board on Children, Youth, and Families; Institute of Medicine; National Research Council. Consequences of repetitive head impacts and multiple concussions. In: Graham R, Rivara FP, Ford MA, et al; Sports-Related Concussions in Youth: Improving the Science, Changing the Culture. National Academies Press (US); 2014
3. 3.↵
   2. Alosco ML,
   3. Stern RA

   . The long-term consequences of repetitive head impacts: chronic traumatic encephalopathy. Handb Clin Neurol 2019;167:337–55 doi:10.1016/B978-0-12-804766-8.00018-2 pmid:31753141

   CrossRefPubMed
4. 4.↵
   2. Mustafi SM,
   3. Harezlak J,
   4. Koch KM, et al

   . Acute white-matter abnormalities in sports-related concussion: a diffusion tensor imaging study from the NCAA-DoD CARE Consortium. J Neurotrauma 2018;35:2653–64 doi:10.1089/neu.2017.5158 pmid:29065805

   CrossRefPubMed
5. 5.↵
   2. Wu YC,
   3. Harezlak J,
   4. Elsaid NM, et al

   . Longitudinal white-matter abnormalities in sports-related concussion: a diffusion MRI study. Neurology 2020;95:e781–92 doi:10.1212/WNL.0000000000009930 pmid:32641518

   Abstract/FREE Full Text
6. 6.↵
   2. Jensen JH,
   3. Helpern JA,
   4. Ramani A, et al

   . Diffusional kurtosis imaging: the quantification of non-Gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med 2005;53:1432–40 doi:10.1002/mrm.20508 pmid:15906300

   CrossRefPubMedWeb of Science
7. 7.↵
   2. Lancaster MA,
   3. Olson DV,
   4. McCrea MA, et al

   . Acute white matter changes following sport-related concussion: a serial diffusion tensor and diffusion kurtosis tensor imaging study. Hum Brain Mapp 2016;37:3821–34 doi:10.1002/hbm.23278 pmid:27237455

   CrossRefPubMed
8. 8.↵
   2. Fieremans E,
   3. Jensen JH,
   4. Helpern JA

   . White matter characterization with diffusional kurtosis imaging. Neuroimage 2011;58:177–88 doi:10.1016/j.neuroimage.2011.06.006 pmid:21699989

   CrossRefPubMed
9. 9.↵
   2. Chung S,
   3. Fieremans E,
   4. Wang X, et al

   . White matter tract integrity: an indicator of axonal pathology after mild traumatic brain injury. J Neurotrauma 2018;35:1015–20 doi:10.1089/neu.2017.5320 pmid:29239261

   CrossRefPubMed
10. 10.↵
    2. Grossman EJ,
    3. Kirov II,
    4. Gonen O, et al

    . N-acetyl-aspartate levels correlate with intra-axonal compartment parameters from diffusion MRI. Neuroimage 2015;118:334–43 doi:10.1016/j.neuroimage.2015.05.061 pmid:26037050

    CrossRefPubMed
11. 11.↵
    2. Jelescu IO,
    3. Zurek M,
    4. Winters KV, et al

    . In vivo quantification of demyelination and recovery using compartment-specific diffusion MRI metrics validated by electron microscopy. Neuroimage 2016;132:104–14 doi:10.1016/j.neuroimage.2016.02.004 pmid:26876473

    CrossRefPubMed
12. 12.↵
    2. Jelescu IO,
    3. Veraart J,
    4. Adisetiyo V, et al

    . One diffusion acquisition and different white matter models: how does microstructure change in human early development based on WMTI and NODDI? Neuroimage 2015;107:242–56 doi:10.1016/j.neuroimage.2014.12.009 pmid:25498427

    CrossRefPubMed
13. 13.↵
    2. Hui ES,
    3. Fieremans E,
    4. Jensen JH, et al

    . Stroke assessment with diffusional kurtosis imaging. Stroke 2012;43:2968–73 doi:10.1161/STROKEAHA.112.657742 pmid:22933581

    Abstract/FREE Full Text
14. 14.↵
    2. de Kouchkovsky I,
    3. Fieremans E,
    4. Fleysher L, et al

    . Quantification of normal-appearing white matter tract integrity in multiple sclerosis: a diffusion kurtosis imaging study. J Neurol 2016;263:1146–55 doi:10.1007/s00415-016-8118-z pmid:27094571

    CrossRefPubMed
15. 15.↵
    2. Fieremans E,
    3. Benitez A,
    4. Jensen JH, et al

    . Novel white matter tract integrity metrics sensitive to Alzheimer disease progression. AJNR Am J Neuroradiol 2013;34:2105–12 doi:10.3174/ajnr.A3553 pmid:23764722

    Abstract/FREE Full Text
16. 16.↵
    2. Broglio SP,
    3. McCrea M,
    4. McAllister T, et al

    ; CARE Consortium Investigators. A national study on the effects of concussion in collegiate athletes and US military service academy members: the NCAA-DoD Concussion Assessment, Research and Education (CARE) Consortium structure and methods. Sports Med 2017;47:1437–51 doi:10.1007/s40279-017-0707-1 pmid:28281095

    CrossRefPubMed
17. 17.↵
    2. Guskiewicz KM,
    3. Register-Mihalik J,
    4. McCrory P, et al

    . Evidence-based approach to revising the SCAT2: introducing the SCAT3. Br J Sports Med 2013;47:289–93 doi:10.1136/bjsports-2013-092225 pmid:23479486

    Abstract/FREE Full Text
18. 18.↵
    2. Chen JK,
    3. Johnston KM,
    4. Collie A, et al

    . A validation of the post concussion symptom scale in the assessment of complex concussion using cognitive testing and functional MRI. J Neurol Neurosurg Psychiatry 2007;78:1231–38 doi:10.1136/jnnp.2006.110395 pmid:17371902

    Abstract/FREE Full Text
19. 19.↵
    2. Veraart J,
    3. Fieremans E,
    4. Novikov DS

    . Diffusion MRI noise mapping using random matrix theory. Magn Reson Med 2016;76:1582–93 doi:10.1002/mrm.26059 pmid:26599599

    CrossRefPubMed
20. 20.↵
    2. Kellner E,
    3. Dhital B,
    4. Kiselev VG, et al

    . Gibbs-ringing artifact removal based on local subvoxel-shifts. Magn Reson Med 2016;76:1574–81 doi:10.1002/mrm.26054 pmid:26745823

    CrossRefPubMed
21. 21.↵
    2. Smith SM,
    3. Jenkinson M,
    4. Woolrich MW, et al

    . Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 2004;23(Suppl 1):S208–19 doi:10.1016/j.neuroimage.2004.07.051 pmid:15501092

    CrossRefPubMedWeb of Science
22. 22.↵
    2. Collier Q,
    3. Veraart J,
    4. Jeurissen B, et al

    . Iterative reweighted linear least squares for accurate, fast, and robust estimation of diffusion magnetic resonance parameters. Magn Reson Med 2015;73:2174–84 doi:10.1002/mrm.25351 pmid:24986440

    CrossRefPubMed
23. 23.↵
    2. Smith SM,
    3. Jenkinson M,
    4. Johansen-Berg H, et al

    . Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 2006;31:1487–1505 doi:10.1016/j.neuroimage.2006.02.024 pmid:16624579

    CrossRefPubMedWeb of Science
24. 24.↵
    2. Mori S,
    3. Oishi K,
    4. Jiang H, et al

    . Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template. Neuroimage 2008;40:570–82 doi:10.1016/j.neuroimage.2007.12.035 pmid:18255316

    CrossRefPubMedWeb of Science
25. 25.↵
    2. Winkler AM,
    3. Ridgway GR,
    4. Webster MA, et al

    . Permutation inference for the general linear model. Neuroimage 2014;92:381–97 doi:10.1016/j.neuroimage.2014.01.060 pmid:24530839

    CrossRefPubMed
26. 26.↵
    2. Smith SM,
    3. Nichols TE

    . Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage 2009;44:83–98 doi:10.1016/j.neuroimage.2008.03.061 pmid:18501637

    CrossRefPubMedWeb of Science
27. 27.↵
    2. Davenport EM,
    3. Apkarian K,
    4. Whitlow CT, et al

    . Abnormalities in diffusional kurtosis metrics related to head impact exposure in a season of high school varsity football. J Neurotrauma 2016;33:2133–46 doi:10.1089/neu.2015.4267 pmid:27042763

    CrossRefPubMed
28. 28.↵
    2. Zhuo J,
    3. Xu S,
    4. Proctor JL, et al

    . Diffusion kurtosis as an in vivo imaging marker for reactive astrogliosis in traumatic brain injury. Neuroimage 2012;59:467–77 doi:10.1016/j.neuroimage.2011.07.050 pmid:21835250

    CrossRefPubMed
29. 29.↵
    2. Budde MD,
    3. Frank JA

    . Neurite beading is sufficient to decrease the apparent diffusion coefficient after ischemic stroke. Proc Natl Acad Sci U S A 2010;107:14472–77 doi:10.1073/pnas.1004841107 pmid:20660718

    Abstract/FREE Full Text
30. 30.↵
    2. Hill CS,
    3. Coleman MP,
    4. Menon DK

    . Traumatic axonal injury: mechanisms and translational opportunities. Trends Neurosci 2016;39:311–24 doi:10.1016/j.tins.2016.03.002 pmid:27040729

    CrossRefPubMed
31. 31.↵
    2. Tang-Schomer MD,
    3. Johnson VE,
    4. Baas PW, et al

    . Partial interruption of axonal transport due to microtubule breakage accounts for the formation of periodic varicosities after traumatic axonal injury. Exp Neurol 2012;233:364–72 doi:10.1016/j.expneurol.2011.10.030 pmid:22079153

    CrossRefPubMed
32. 32.↵
    2. McAllister TW,
    3. Ford JC,
    4. Ji S, et al

    . Maximum principal strain and strain rate associated with concussion diagnosis correlates with changes in corpus callosum white matter indices. Ann Biomed Eng 2012;40:127–40 doi:10.1007/s10439-011-0402-6 pmid:21994062

    CrossRefPubMed
33. 33.↵
    2. Patton DA,
    3. McIntosh AS,
    4. Kleiven S

    . The biomechanical determinants of concussion: finite element simulations to investigate tissue-level predictors of injury during sporting impacts to the unprotected head. J Appl Biomech 2015;31:264–68 doi:10.1123/jab.2014-0223 pmid:25781376

    CrossRefPubMed
34. 34.↵
    2. Lancaster MA,
    3. Meier TB,
    4. Olson DV, et al

    . Chronic differences in white matter integrity following sport-related concussion as measured by diffusion MRI: 6-month follow-up. Hum Brain Mapp 2018;39:4276–89 doi:10.1002/hbm.24245 pmid:29964356

    CrossRefPubMed
35. 35.↵
    2. Rutgers DR,
    3. Fillard P,
    4. Paradot G, et al

    . Diffusion tensor imaging characteristics of the corpus callosum in mild, moderate, and severe traumatic brain injury. AJNR Am J Neuroradiol 2008;29:1730–35 doi:10.3174/ajnr.A1213 pmid:18617586

    CrossRefPubMed
36. 36.↵
    2. Brett BL,
    3. Wu YC,
    4. Mustafi SM, et al

    . The association between persistent white-matter abnormalities and repeat injury after sport-related concussion. Front Neurol 2019;10:1345 doi:10.3389/fneur.2019.01345 pmid:32038451

    CrossRefPubMed
37. 37.↵
    2. Shokouhi M,
    3. Barnes A,
    4. Suckling J, et al

    . Assessment of the impact of the scanner-related factors on brain morphom-etry analysis with Brainvisa. BMC Med Imaging 2011;11:23 doi:10.1186/1471-2342-11-23 pmid:22189342

    CrossRefPubMed
38. 38.↵
    2. Selassie AW,
    3. Wilson DA,
    4. Pickelsimer EE, et al

    . Incidence of sport-related traumatic brain injury and risk factors of severity: a population-based epidemiologic study. Ann Epidemiol 2013;23:750–56 doi:10.1016/j.annepidem.2013.07.022 pmid:24060276

    CrossRefPubMed
39. 39.↵
    2. Jelescu IO,
    3. Budde MD

    . Design and validation of diffusion MRI models of white matter. Front Phys 2017;28:61 doi:10.3389/fphy.2017.00061 pmid:29755979

    CrossRefPubMed
40. 40.↵
    2. Bach M,
    3. Laun FB,
    4. Leemans A, et al

    . Methodological considerations on tract-based spatial statistics (TBSS). Neuroimage 2014;100:358–69 doi:10.1016/j.neuroimage.2014.06.021 pmid:24945661

    CrossRefPubMed