Ces radiol. 2013, 67(1):9-18

Theoretical fundamentals of advanced magnetic resonance methods in neuroscienceReview article

Ibrahim Ibrahim, Jaroslav Tintěra
Základna radiodiagnostiky a intervenční radiologie, oddělení magnetické rezonance IKEM, Praha

Although conventional MR imaging techniques play a crucial role in the examination of the central nervous system, these techniques can not give any information about functional properties of the brain tissue. Besides conventional MRI techniques, however, there are some MR methods enabling evaluation of these functional properties. These methods include functional magnetic resonance imaging, diffusion-weighted imaging or diffusion tensor imaging, and voxel based morphometry. This article presents the basic physical concepts of the above-mentioned MR techniques and their applications in research and clinical practice.

Keywords: functional magnetic resonance imaging, diffusion tensor imaging, voxel-based morphometry, brain
Grants and funding:

Práce byla podporována grantem MZ ČR 00023001 IKEM.

Accepted: September 15, 2012; Published: March 1, 2013  Show citation

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Ibrahim I, Tintěra J. Theoretical fundamentals of advanced magnetic resonance methods in neuroscience. Ces radiol. 2013;67(1):9-18.
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References

  1. Bartrés-Faz D, Arenaza-Urquijo EM. Structural and Functional Imaging Correlates of Cognitive and Brain Reserve Hypotheses in Healthy and Pathological Aging. Brain Topogr. 2011; 24(3-4): 340-357. Go to original source... Go to PubMed...
  2. Jorg P. Medical imaging modalities - an introduction. Advanced imaging in biology and medicine. Berlin Heidelberg: Springer-Verlag 2009; 225-254.
  3. Ogawa S, Lee TM, Kay AR, Tank DW. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc Natl Acad Sci USA 1990; 87(24): 9868-9872. Go to original source... Go to PubMed...
  4. Williams DS, Detre JA, Leigh JS, Koretsky AP. Magnetic resonance imaging of perfusion using spin inversion of arterial water. Proc Natl Acad Sci USA 1992; 89(1): 212-216. Go to original source... Go to PubMed...
  5. Tintěra J, Vymazal J. Funkční a metabolické MR zobrazení mozku. Čes Radiol 2005; 59(1): 3-14.
  6. Jezzard P, Matthews PM, Smith SM. (eds.) Functional MRI: An Introduction to Methods. Oxford: OUP 2001.
  7. Buxton RB, Uludağ K, Dubowitz DJ, Liu TT. Modeling the hemodynamic response to brain activation. Neuroimage 2004; 23(1): S220-233. Go to original source... Go to PubMed...
  8. Lindquist MA. The statistical analysis of fMRI data. Statistical Science 2008; 23(4): 439-464. Go to original source...
  9. Buckner RL, Bandettini PA, O'Craven KM, et al. Detection of cortical activation during averaged single trials of a cognitive task using functional magnetic resonance imaging. Proc Natl Acad Sci USA 1996; 93(25): 14878-14883. Go to original source... Go to PubMed...
  10. Friston KJ, Williams S, Howard R, et al. Movement-related effects in fMRI time-series. Magn Reson Med 1996; 35(3): 346-355. Go to original source... Go to PubMed...
  11. Ashburner J, Friston KJ. Nonlinear spatial normalization using basis functions. Hum Brain Mapp. 1999; 7(4): 254-266. Go to original source...
  12. Monti MM. Statistical analysis of fMRI time-series: a critical review of the GLM approach. Front Hum Neurosci 2011; 5: 28. Go to original source... Go to PubMed...
  13. Chlebus P, Mikl M, Brázdil M, Krupa P. Funkční magnetická rezonance - úvod do problematiky. Neurol. prax. 2005; 6(3): 140-145.
  14. Brown R. A brief account of microscopical observations made in the months of June, July, and August 1827 on the particles contained in the pollen of plants; and on general existence of active molecules in organic and inorganic bodies. Philosoph Mag 1828; 4: 161. Go to original source...
  15. Einstein A. Sue theorie der Brownschen Bewengung. Ann Physik 1906; 19: 371-381. Go to original source...
  16. Mukherjee P, Chung SW, Berman JI, et al. Diffusion tensor MR imaging and fiber tractography: technical considerations. AJNR Am J Neuroradiol 2008; 29(5): 843-852. Go to original source... Go to PubMed...
  17. Mukherjee P, Berman JI, Chung SW, et al. Diffusion tensor MR imaging and fiber tractography: theoretic underpinnings. AJNR Am J Neuroradiol 2008; 29(4): 632-641. Go to original source... Go to PubMed...
  18. Timothy PL, Roberts TP, Schwartz ES. Principles and implementation of diffusion-weighted and diffusion tensor imaging. Pediatr Radiol 2007; 37(8): 739-748. Go to original source... Go to PubMed...
  19. Beaulieu C. The basis of anisotropic water diffusion in the nervous system - a technical review. NMR Biomed 2002; 15(7-8): 435-455. Go to original source... Go to PubMed...
  20. Carr HY, Purcell EM. Effects of diffusion on free precession in nuclear magnetic resonaance experiments. Phys Rev (Series II) 1954; 94: 630-638. Go to original source...
  21. Parker GJ. Analysis of MR diffusion weighted images. Br J Radiol 2004; 77(2): S176-185. Go to original source... Go to PubMed...
  22. Stejskal EO, Tanner JE. Spin diffusion measurements: spin echoes in the presence of a time-dependent field gradient. J Chem Phys 1965; 42: 288-292. Go to original source...
  23. Basser PJ, Pierpaoli C. Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. J Magn Reson B 1996; 111(3): 209-219. Go to original source... Go to PubMed...
  24. Le Bihan D, Breton E, Lallemand D, et al. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology 1986; 161: 401-407. Go to original source... Go to PubMed...
  25. Burdette JH, Elster AD, Ricci PE. Acute cerebral infarction: quantification of spin-density and T2 shine-through phenomena on diffusion-weighted MR images. Radiology 1999; 212(2): 333-339. Go to original source... Go to PubMed...
  26. Conturo TE, Lori NF, Cull TS, et al. Tracking neuronal fiber pathways in the living human brain. Proc Natl Acad Sci USA 1999; 96(18): 10422-10427. Go to original source... Go to PubMed...
  27. Tournier JD, Mori S, Leemans A. Diffusion tensor imaging and beyond. Magn Reson Med 2011; 65(6): 1532-1556. Go to original source... Go to PubMed...
  28. Tuch DS. Q-ball imaging. Magn Reson Med 2004; 52(6): 1358-1372. Go to original source... Go to PubMed...
  29. Wedeen VJ, Wang RP, Schmahmann JD, et al. Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers. Neuroimage 2008; 41(4): 1267-1277. Go to original source... Go to PubMed...
  30. Whitwell JL. Voxel-based morphometry: an automated technique for assessing structural changes in the brain. J Neurosci 2009; 29(31): 9661-9664. Go to original source... Go to PubMed...
  31. Yu A, Li K, Li L, et al. Whole-brain voxel-based morphometry of white matter in medial temporal lobe epilepsy. Eur J Radiol 2008; 65(1): 86-90. Go to original source... Go to PubMed...
  32. Good CD, Johnsrude IS, Ashburner J, et al. A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage 2001; 14(1 Pt 1): 21-36. Go to original source... Go to PubMed...
  33. Mechelli A, Cathy J. Price, Karl J. Friston, et al. Voxel-based morphometry of human brain: methods and applications. Current Medical Imaging Reviews 2005; 1(1): 105-113. Go to original source...

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