Magnetic Resonance Imaging
Volume 26, Issue 10 , Pages 1398-1405 , December 2008

Multivariate analysis of diffusion tensor imaging data improves the detection of microstructural damage in young professional boxers

  • Michael H. Chappell

      Affiliations

    • Department of Physics and Astronomy, University of Canterbury, Christchurch 8020, New Zealand
    • Van der Veer Institute for Parkinson's and Brain Research, Christchurch 8001, New Zealand
    • Corresponding Author InformationCorresponding author. ISB/MR-Senter, St Olavs Hospital, 7006 Trondheim, Norway. Tel.: +47 7386 9553; fax: +47 7386 7708.
  • ,
  • Jennifer A. Brown

      Affiliations

    • Department of Mathematics and Statistics, University of Canterbury, Christchurch 8020, New Zealand
  • ,
  • John C. Dalrymple-Alford

      Affiliations

    • Department of Psychology, University of Canterbury, Christchurch 8020, New Zealand
    • Van der Veer Institute for Parkinson's and Brain Research, Christchurch 8001, New Zealand
  • ,
  • Aziz M. Uluğ

      Affiliations

    • Department of Radiology, Weill Medical College of Cornell University, New York, NY 10021, USA
  • ,
  • Richard Watts

      Affiliations

    • Department of Physics and Astronomy, University of Canterbury, Christchurch 8020, New Zealand
    • Van der Veer Institute for Parkinson's and Brain Research, Christchurch 8001, New Zealand

Received 11 January 2008 ,Revised 11 April 2008 ,Accepted 11 April 2008.

References 

  1. Worsley KJ, Marrett S, Neelin P, Vandal AC, Friston KJ, Evans AC. A unified statistical approach for determining significant signals in images of cerebral activation. Hum Brain Mapp. 1996;4(1):58–73
  2. Chappell MH, Ulug AM, Zhang L, Heitger MH, Jordan BD, Zimmerman RD, et al. Distribution of microstructural damage in the brains of professional boxers: a diffusion MRI study. J Magn Reson Imaging. 2006;24(3):537–542
  3. Lee ZI, Byun WM, Jang SH, Ahn SH, Moon HK, Chang YM. Diffusion tensor magnetic resonance imaging of microstructural abnormalities in children with brain injury. Am J Phys Med Rehabil. 2003;82(7):556–559
  4. Pfefferbaum A, Sullivan EV. Microstructural but not macrostructural disruption of white matter in women with chronic alcoholism. NeuroImage. 2002;15(3):708–718
  5. Huppi PS, Murphy B, Maier SE, Zientara GP, Inder TE, Barnes PD, et al. Microstructural brain development after perinatal cerebral white matter injury assessed by diffusion tensor magnetic resonance imaging. Pediatrics. 2001;107(3):455–460
  6. Klingberg T, Hedehus M, Temple E, Salz T, Gabrieli JDE, Moseley ME, et al. Microstructure of temporo-parietal white matter as a basis for reading ability: evidence from diffusion tensor magnetic resonance imaging. Neuron. 2000;25(2):493–500
  7. Basser PJ, Mattiello J, Lebihan D. Estimation of the effective self-diffusion tensor from the NMR spin-echo. J Magn Reson Series B. 1994;103(3):247–254
  8. Ennis DB, Kindlmann G. Orthogonal tensor invariants and the analysis of diffusion tensor magnetic resonance images. Magn Reson Med. 2006;55(1):136–146
  9. Kingsley P. Introduction to diffusion tensor imaging mathematics: Part II. Anisotropy, diffusion-weighting factors, and gradient encoding schemes. Concepts Magn Reson Part A. 2006;28A(2):123–154
  10. Westin CF, Maier SE, Mamata H, Nabavi A, Jolesz FA, Kikinis R. Processing and visualization for diffusion tensor MRI. Med Image Anal. 2002;6(2):93–108
  11. Zhang S, Demiralp C, Laidlaw DH. Visualizing diffusion tensor MR images using streamtubes and streamsurfaces. IEEE Trans Vis Comput Graph. 2003;9(4):454–462
  12. Ashburner J, Friston KJ. Voxel-based morphometry — The methods. NeuroImage. 2000;11(6):805–821
  13. Hotelling H. A generalized T measure of multivariate dispersion. Ann Math Stat. 1947;18(2):298
  14. Siotani M. On the distribution of Hotelling's T2-test. Ann Inst Stat Math. 1956;8:1–14
  15. Lin FC, Yu CS, Jiang TZ, Li KC, Zhu CZ, Zhu WL, et al. Discriminative analysis of relapsing neuromyelitis optica and relapsing–remitting multiple sclerosis based on two-dimensional histogram from diffusion tensor imaging. NeuroImage. 2006;31(2):543–549
  16. Galanaud D, Nicoli F, Chinot O, Confort-Gouny S, Figarella-Branger D, Roche P, et al. Noninvasive diagnostic assessment of brain tumors using combined in vivo MR imaging and spectroscopy. Magn Reson Med. 2006;55(6):1236–1245
  17. Good CD, Johnsrude IS, Ashburner J, Henson RNA, Friston KJ, Frackowiak RSJ. A voxel-based morphometric study of ageing in 465 normal adult human brains. NeuroImage. 2001;14(1):21–36
  18. Jones DK, Symms MR, Cercignani M, Howard RJ. The effect of filter size on VBM analyses of DT-MRI data. NeuroImage. 2005;26(2):546–554
  19. Rosenfeld A, Kak AC. In: Digital picture processing. 2nd ed.. New York: Academic Press; 1982;p. 42
  20. Gennarelli TA, Thibault LE, Graham DI. Diffuse axonal injury: an important form of traumatic brain damage. Neuroscientist. 1998;4(3):202–215
  21. Meythaler JM, Peduzzi JD, Eleftheriou E, Novack TA. Current concepts: diffuse axonal injury-associated traumatic brain injury. Arch Phys Med Rehabil. 2001;82(10):1461–1471
  22. Johnson R, Wichern D. Applied multivariate statistical analysis. 4th ed.. Upper Saddle River: Prentice-Hall, Inc; 1999;
  23. Johnson D. Applied multivariate methods for data analysts. London: Duxbury Press; 1998;
  24. Manly BFJ. Multivariate statistical methods. 3rd ed.. New York: Chapman & Hall/CRC; 2004;
  25. Vojtech F, Vaclav H. Statistical pattern recognition toolbox for Matlab. Prague, Czech Republic: Center for Machine Perception, K13133 FEE Czech Technical University; 2004;[Report nr CTU-CMP-2004-08. 105 p.]
  26. Inglese M, Makani S, Johnson G, Cohen BA, Silver JA, Gonen O, et al. Diffuse axonal injury in mild traumatic brain injury: a diffusion tensor imaging study. J Neurosurg. 2005;103(2):298–303
  27. Salmond CH, Menon DK, Chatfield DA, Williams GB, Pena A, Sahakian BJ, et al. Diffusion tensor imaging in chronic head injury survivors: correlations with learning and memory indices. NeuroImage. 2006;29(1):117–124
  28. Zhang L, Heier LA, Zimmerman RD, Jordan B, Ulug AM. Diffusion anisotropy changes in the brains of professional boxers. Am J Neuroradiol. 2006;27(9):2000–2004

PII: S0730-725X(08)00136-7

doi: 10.1016/j.mri.2008.04.004

Magnetic Resonance Imaging
Volume 26, Issue 10 , Pages 1398-1405 , December 2008