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Evidence of Fractional Anisotropy in Parkinson’s Disease

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Diffusion Tensor Imaging and Fractional Anisotropy

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Abstract

The previous chapter discussed the diffusion-tensor imaging protocol for obtaining consistent region-wise FA at the brain grey matter (GM) and white matter (WM). This chapter will examine the role of FA in Parkinson’s disease (PD), including clinical evidence and correlation.

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References

  1. Basser PJ, Mattiello J, LeBihan D. MR diffusion tensor spectroscopy and imaging. Biophys J. 1994;66(1):259–67. https://doi.org/10.1016/S0006-3495(94)80775-1. http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=1275686&tool=pmcentrez&rendertype=abstract.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Harsan LA, Poulet P, Guignard B, Steibel J, Parizel N, de Sousa PL, et al. Brain dysmyelination and recovery assessment by noninvasive in vivo diffusion tensor magnetic resonance imaging. J Neurosci Res. 2006;83(3):392–402. http://www.ncbi.nlm.nih.gov/pubmed/16397901.

    Article  CAS  PubMed  Google Scholar 

  3. Beaulieu C, Allen PS. Determinants of anisotropic water diffusion in nerves. Magn Reson Med. 1994;31(4):394–400. http://www.ncbi.nlm.nih.gov/pubmed/8208115.

    Article  CAS  PubMed  Google Scholar 

  4. Zhang J, Richards LJ, Yarowsky P, Huang H, van Zijl PCM, Mori S. Three-dimensional anatomical characterization of the developing mouse brain by diffusion tensor microimaging. Neuroimage. 2003;20(3):1639–48. http://www.ncbi.nlm.nih.gov/pubmed/14642474.

    Article  PubMed  Google Scholar 

  5. Mukherjee P, Miller JH, Shimony JS, Philip JV, Nehra D, Snyder AZ, et al. Diffusion-tensor MR imaging of gray and white matter development during normal human brain maturation. AJNR Am J Neuroradiol. 2002;23(9):1445–56. http://www.ncbi.nlm.nih.gov/pubmed/12372731.

    PubMed  PubMed Central  Google Scholar 

  6. Nieman BJ, Flenniken AM, Adamson SL, Henkelman RM, Sled JG. Anatomical phenotyping in the brain and skull of a mutant mouse by magnetic resonance imaging and computed tomography. Physiol Genomics. 2006;24(2):154–62. http://www.ncbi.nlm.nih.gov/pubmed/16410543.

    Article  CAS  PubMed  Google Scholar 

  7. Pagani E, Filippi M, Rocca MA, Horsfield MA. A method for obtaining tract-specific diffusion tensor MRI measurements in the presence of disease: application to patients with clinically isolated syndromes suggestive of multiple sclerosis. Neuroimage. 2005;26(1):258–65. http://www.ncbi.nlm.nih.gov/pubmed/15862226.

    Article  CAS  PubMed  Google Scholar 

  8. Burdette JH, Durden DD, Elster AD, Yen YF. High b-value diffusion-weighted MRI of normal brain. J Comput Assist Tomogr. 2001;25(4):515–9. http://www.ncbi.nlm.nih.gov/pubmed/11473179.

    Article  CAS  PubMed  Google Scholar 

  9. Chou M, Mori S. Effects of b-value and echo time on magnetic resonance diffusion tensor imaging-derived parameters at 1.5 T : a voxel-wise study. J Med Biol Eng. 2012;33(1):45–50.

    Article  Google Scholar 

  10. Pierpaoli C, Jezzard P, Basser PJ, Barnett A, Di Chiro G. Diffusion tensor MR imaging of the human brain. Radiology. 1996;201(3):637–48. http://www.ncbi.nlm.nih.gov/pubmed/8939209.

    Article  CAS  PubMed  Google Scholar 

  11. Lee CEC, Danielian LE, Thomasson D, Baker EH. Normal regional fractional anisotropy and apparent diffusion coefficient of the brain measured on a 3 T MR scanner. Neuroradiology. 2009;51(1):3–9. http://www.ncbi.nlm.nih.gov/pubmed/18704391.

    Article  PubMed  Google Scholar 

  12. Huisman TAGM, Bosemani T, Poretti A. Diffusion tensor imaging for brain malformations. Neuroimaging Clin N Am. 2014;24(4):619–37. http://www.sciencedirect.com/science/article/pii/S1052514914000732.

    Article  PubMed  Google Scholar 

  13. Huisman TAGM, Loenneker T, Barta G, Bellemann ME, Hennig J, Fischer JE, et al. Quantitative diffusion tensor MR imaging of the brain: field strength related variance of apparent diffusion coefficient (ADC) and fractional anisotropy (FA) scalars. Eur Radiol. 2006;16(8):1651–8. http://www.ncbi.nlm.nih.gov/pubmed/16532356.

    Article  PubMed  Google Scholar 

  14. Snook L, Paulson L-A, Roy D, Phillips L, Beaulieu C. Diffusion tensor imaging of neurodevelopment in children and young adults. Neuroimage. 2005;26(4):1164–73. http://www.ncbi.nlm.nih.gov/pubmed/15961051.

    Article  PubMed  Google Scholar 

  15. van Norden AGW, de Laat KF, van Dijk EJ, van Uden IWM, van Oudheusden LJB, Gons RAR, et al. Diffusion tensor imaging and cognition in cerebral small vessel disease. Biochim Biophys Acta Mol Basis Dis. 2012;1822(3):401–7. http://www.sciencedirect.com/science/article/pii/S0925443911000913.

    Article  Google Scholar 

  16. Sullivan EV, Rohlfing T, Pfefferbaum A. Longitudinal study of callosal microstructure in the normal adult aging brain using quantitative DTI fiber tracking. Dev Neuropsychol. 2010;35(3):233–56. http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2867078&tool=pmcentrez&rendertype=abstract.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Hunsche S, Moseley ME, Stoeter P, Hedehus M. Diffusion-tensor MR imaging at 1.5 and 3.0 T: initial observations. Radiology. 2001;221(2):550–6. http://www.ncbi.nlm.nih.gov/pubmed/11687703.

    Article  CAS  PubMed  Google Scholar 

  18. Treit S, Chen Z, Rasmussen C, Beaulieu C. White matter correlates of cognitive inhibition during development: a diffusion tensor imaging study. Neuroscience. 2014;276:87–97. http://www.sciencedirect.com/science/article/pii/S030645221301035X.

    Article  CAS  PubMed  Google Scholar 

  19. Taylor P, Brander A, Kataja A, Saastamoinen A, Ryymin P, Huhtala H. Diffusion tensor imaging of the brain in a healthy adult population: normative values and measurement reproducibility at 3 T and 1.5 T. Acta Radiol. 2010;51(7):800–7.

    Article  Google Scholar 

  20. Sexton CE, Walhovd KB, Storsve AB, Tamnes CK, Westlye LT, Johansen-Berg H, et al. Accelerated changes in white matter microstructure during aging: a longitudinal diffusion tensor imaging study. J Neurosci. 2014;34(46):15425–36. http://www.ncbi.nlm.nih.gov/pubmed/25392509.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Paper O. Normal development of human brain white matter from infancy to early adulthood: a diffusion tensor imaging study. Dev Neurosci. 2015;37(2):182–94.

    Article  Google Scholar 

  22. Jun Q, Irvin Y, Paolo T, Yi M, Carissa S, Kang K. Tracking cerebral white matter changes across the lifespan: insights from diffusion tensor imaging studies. J Neural Transm (Vienna). 2013;120(9):1369–95.

    Article  Google Scholar 

  23. Ang X, Guang-bin W, Jun-ling XU, Yong-li L, Mri C, Experimental M. Initial study of magnetic resonance diffusion tensor imaging in brain. Chin Med J. 2013;126(14):2720–4.

    Google Scholar 

  24. Giannelli M, Cosottini M, Michelassi MC, Lazzarotti G, Belmonte G, Bartolozzi C, et al. Dependence of brain DTI maps of fractional anisotropy and mean diffusivity on the number of diffusion weighting directions. J Appl Clin Med Phys. 2009;11(1):2927. http://www.jacmp.org/index.php/jacmp/article/view/2927/1797.

    PubMed  Google Scholar 

  25. White matter integrity measured by fractional anisotropy correlates poorly with actual individual fiber anisotropy | Liang Zhan - Academia.edu. [cited 2014 Jun 27]. https://www.academia.edu/3512971/White_Matter_Integrity_Measured_by_Fractional_Anisotropy_Correlates_Poorly_with_Actual_Individual_Fiber_Anisotropy.

  26. de Bruïne FT, van Wezel-Meijler G, Leijser LM, van den Berg-Huysmans AA, van Steenis A, van Buchem MA, et al. Tractography of developing white matter of the internal capsule and corpus callosum in very preterm infants. Eur Radiol. 2011;21(3):538–47. http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3032189&tool=pmcentrez&rendertype=abstract.

    Article  PubMed  Google Scholar 

  27. Chang MC, Jang SH. Corpus callosum injury in patients with diffuse axonal injury: a diffusion tensor imaging study. NeuroRehabilitation. 2010;26(4):339–45. http://www.ncbi.nlm.nih.gov/pubmed/20555157.

    Article  PubMed  Google Scholar 

  28. Liu F, Vidarsson L, Winter JD, Tran H, Kassner A. Sex differences in the human corpus callosum microstructure: a combined T2 myelin-water and diffusion tensor magnetic resonance imaging study. Brain Res. 2010;1343:37–45. http://www.ncbi.nlm.nih.gov/pubmed/20435024.

    Article  CAS  PubMed  Google Scholar 

  29. Provenzale JM, Isaacson J, Chen S, Stinnett S, Liu C. Correlation of apparent diffusion coefficient and fractional anisotropy values in the developing infant brain. AJR Am J Roentgenol. 2010;195(6):W456–62. http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3640803&tool=pmcentrez&rendertype=abstract.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Kim EY, Park H-J, Kim D-H, Lee S-K, Kim J. Measuring fractional anisotropy of the corpus callosum using diffusion tensor imaging: mid-sagittal versus axial imaging planes. Korean J Radiol. 2008;9(5):391–5. http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2627217&tool=pmcentrez&rendertype=abstract

    Article  PubMed  PubMed Central  Google Scholar 

  31. Rutgers DR, Fillard P, Paradot G, Tadié M, Lasjaunias P, Ducreux D. Diffusion tensor imaging characteristics of the corpus callosum in mild, moderate, and severe traumatic brain injury. AJNR Am J Neuroradiol. 2008;29(9):1730–5. http://www.ncbi.nlm.nih.gov/pubmed/18617586.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Hasan KM, Gupta RK, Santos RM, Wolinsky JS, Narayana PA. Diffusion tensor fractional anisotropy of the normal-appearing seven segments of the corpus callosum in healthy adults and relapsing-remitting multiple sclerosis patients. J Magn Reson Imaging. 2005;21(6):735–43. http://www.ncbi.nlm.nih.gov/pubmed/15906348.

    Article  PubMed  Google Scholar 

  33. Jeong HK, Lee S-K, Kim DI, Heo JH. The usefulness of fractional anisotropy maps in localization of lacunar infarctions in striatum, internal capsule and thalamus. Neuroradiology. 2005;47(4):267–70. http://www.ncbi.nlm.nih.gov/pubmed/15806429.

    Article  PubMed  Google Scholar 

  34. Hakulinen U, Brander A, Ryymin P, Öhman J, Soimakallio S, Helminen M, et al. Repeatability and variation of region-of-interest methods using quantitative diffusion tensor MR imaging of the brain. BMC Med Imaging. 2012;12:30. http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3533516&tool=pmcentrez&rendertype=abstract.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Fox RJ, Sakaie K, Lee J-C, Debbins JP, Liu Y, Arnold DL, et al. A validation study of multicenter diffusion tensor imaging: reliability of fractional anisotropy and diffusivity values. AJNR Am J Neuroradiol. 2012;33(4):695–700. http://www.ncbi.nlm.nih.gov/pubmed/22173748.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Murphy ML, Frodl T. Meta-analysis of diffusion tensor imaging studies shows altered fractional anisotropy occurring in distinct brain areas in association with depression. Biol Mood Anxiety Disord. 2011;1(1):3. http://www.biolmoodanxietydisord.com/content/1/1/3.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Brander A, Kataja A, Saastamoinen A, Ryymin P, Huhtala H, Ohman J, et al. Diffusion tensor imaging of the brain in a healthy adult population: normative values and measurement reproducibility at 3 T and 1.5 T. Acta Radiol. 2010;51(7):800–7. http://informahealthcare.com/doi/abs/10.3109/02841851.2010.495351.

    Article  PubMed  Google Scholar 

  38. Giannelli M, Cosottini M, Michelassi MC, Lazzarotti G, Belmonte G, Bartolozzi C, et al. Dependence of brain DTI maps of fractional anisotropy and mean diffusivity on the number of diffusion weighting directions. J Appl Clin Med Phys. 2009;11(1):2927. http://www.ncbi.nlm.nih.gov/pubmed/20160677.

    PubMed  Google Scholar 

  39. Bisdas S, Bohning DEE, Besenski N, Nicholas JSS, Rumboldt Z. Reproducibility, interrater agreement, and age-related changes of fractional anisotropy measures at 3T in healthy subjects: effect of the applied b-value. AJNR Am J Neuroradiol. 2008;29(6):1128–33. http://www.ajnr.org/cgi/doi/10.3174/ajnr.A1044.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Mandl CW, Schnack HG, Zwiers MP, Van Der SA. Functional diffusion tensor imaging: measuring task- related fractional anisotropy changes in the human brain along white matter tracts. PLoS One. 2008;3(11):e3631.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Schlu M, Drescher R, Rexilius J, Lukas C, Hahn HK, Przuntek H, et al. Diffusion tensor imaging-based fractional anisotropy quantification in the corticospinal tract of patients with amyotrophic lateral sclerosis using a probabilistic mixture model. AJNR Am J Neuroradiol. 2007;28(4):724–30.

    Google Scholar 

  42. Farrell JAD, Landman BA, Jones CK, Smith SA, Prince JL, van Zijl PCM, et al. Effects of signal-to-noise ratio on the accuracy and reproducibility of diffusion tensor imaging-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5 T. J Magn Reson Imaging. 2007;26(3):756–67. http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2862967&tool=pmcentrez&rendertype=abstract.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Löbel U, Sedlacik J, Güllmar D, Kaiser WA, Reichenbach JR, Mentzel H. Diffusion tensor imaging: the normal evolution of ADC, RA, FA, and eigenvalues studied in multiple anatomical regions of the brain. Neuroradiology. 2009;51(4):253–63. http://media.proquest.com/media/pq/classic/doc/1664748221/fmt/pi/rep/NONE?hl=&cit:auth=Löbel,+Ulrike;Sedlacik,+Jan;Güllmar,+Daniel;Kaiser,+Werner+A;Reichenbach,+Jürgen+R;Mentzel,+Hans-joachim&cit:title=Diffusion+te.

    Article  PubMed  Google Scholar 

  44. Mole JP, Subramanian L, Bracht T, Morris H, Metzler-Baddeley C, Linden DEJ. Increased fractional anisotropy in the motor tracts of Parkinson’s disease suggests compensatory neuroplasticity or selective neurodegeneration. Eur Radiol. 2016;26(10):3327–35.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Ibarretxe-Bilbao N, Junque C, Marti MJ, Valldeoriola F, Vendrell P, Bargallo N, et al. Olfactory impairment in Parkinson’s disease and white matter abnormalities in central olfactory areas: a voxel-based diffusion tensor imaging study. Mov Disord. 2010;25(12):1888–94.

    Article  PubMed  Google Scholar 

  46. Georgiopoulos C, Warntjes M, Dizdar N, Zachrisson H, Engström M, Haller S, et al. Olfactory impairment in Parkinson’s disease studied with diffusion tensor and magnetization transfer imaging. J Parkinsons Dis. 2017;7(2):301–11.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Joshi N, Rolheiser TM, Fisk JD, McKelvey JR, Schoffer K, Phillips G, et al. Lateralized microstructural changes in early-stage Parkinson’s disease in anterior olfactory structures, but not in substantia nigra. J Neurol. 2017;264(7):1497–505.

    Article  CAS  PubMed  Google Scholar 

  48. Rolheiser TM, Fulton HG, Good KP, Fisk JD, McKelvey JR, Scherfler C, et al. Diffusion tensor imaging and olfactory identification testing in early-stage Parkinson’s disease. J Neurol. 2011;258(7):1254–60.

    Article  PubMed  Google Scholar 

  49. Kim M, Park H. Using tractography to distinguish SWEDD from Parkinson’s disease patients based on connectivity. Parkinsons Dis. 2016;2016:8704910.

    PubMed  PubMed Central  Google Scholar 

  50. Cousineau M, Jodoin PM, Morency FC, Rozanski V, Grand’Maison M, Bedell BJ, et al. A test-retest study on Parkinson’s PPMI dataset yields statistically significant white matter fascicles. NeuroImage Clin. 2017;16:222–33.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Zhang K, Yu C, Zhang Y, Wu X, Zhu C. Voxel-based analysis of diffusion tensor indices in the brain in patients with Parkinson’s disease. Eur J Radiol. 2017;77(2):269–73. https://doi.org/10.1016/j.ejrad.2009.07.032.

    Article  Google Scholar 

  52. Zhan W, Kang GA, Glass GA, Zhang Y, Shirley C, Millin R, et al. Regional alterations of brain microstructure in Parkinson’s disease using diffusion tensor imaging. Mov Disord. 2012;27(1):90–7.

    Article  PubMed  Google Scholar 

  53. Langley J, Huddleston DE, Merritt M, Chen X, McMurray R, Silver M, et al. Diffusion tensor imaging of the substantia nigra in Parkinson’s disease revisited. Hum Brain Mapp. 2016;37(7):2547–56.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Duncan GW, Firbank MJ, Yarnall AJ, Khoo TK, Brooks DJ, Barker RA, et al. Gray and white matter imaging: a biomarker for cognitive impairment in early Parkinson’s disease? Mov Disord. 2016;31(1):103–10.

    Article  PubMed  Google Scholar 

  55. Chen N-K, Chou Y, Sundman M, Hickey P, Kasoff WS, Bernstein A, et al. Alteration of diffusion-tensor MRI measures in brain regions involved in early stages of Parkinson’s disease. Brain Connect. 2018;8(6):343–9. http://www.liebertpub.com/doi/10.1089/brain.2017.0558.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Gattellaro G, Minati L, Grisoli M, Mariani C, Carella F, Osio M, et al. White matter involvement in idiopathic Parkinson disease: a diffusion tensor imaging study. AJNR Am J Neuroradiol. 2009;30(6):1222–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Zhang Y, Schuff N, Jahng G-H, Bayne W, Mori S, Schad L, et al. Diffusion tensor imaging of cingulum fibers in mild cognitive impairment and Alzheimer disease. Neurology. 2007;68(1):13–9. http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=1941719&tool=pmcentrez&rendertype=abstract.

    Article  CAS  PubMed  Google Scholar 

  58. Cochrane CJ. Diffusion tensor imaging in parkinsonian syndromes: a systematic review and meta-analysis. Neurology. 2013;80(9):857–64.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Schwarz ST, Abaei M, Gontu V, Morgan PS, Bajaj N, Auer DP. Diffusion tensor imaging of nigral degeneration in Parkinson’s disease: a region-of-interest and voxel-based study at 3 T and systematic review with meta-analysis. NeuroImage Clin. 2013;3:481–8. https://doi.org/10.1016/j.nicl.2013.10.006.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Atkinson-Clement C, Pinto S, Eusebio A, Coulon O. Diffusion tensor imaging in Parkinson’s disease: review and meta-analysis. NeuroImage Clin. 2017;16:98–110. https://doi.org/10.1016/j.nicl.2017.07.011.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Cochrane CJ, Ebmeier KP. Diffusion tensor imaging in parkinsonian syndromes: a systematic review and meta-analysis. Neurology. 2013;80(9):857–64.

    Article  PubMed  PubMed Central  Google Scholar 

  62. Wen MC, Heng HSE, Ng SYE, Tan LCS, Chan LL, Tan EK. White matter microstructural characteristics in newly diagnosed Parkinson’s disease: an unbiased whole-brain study. Sci Rep. 2016;6:35601. https://doi.org/10.1038/srep35601.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Farrell JA, Landman BA, Jones CK, Smith SA, Prince JL, Van ZPC, et al. Effects of diffusion weighting scheme and SNR on DTI-derived fractional anisotropy at 1.5T Introduction. Proc Intl Soc Mag Reson Med. 2006;993:2000.

    Google Scholar 

  64. Smith SM, Johansen-Berg H, Jenkinson M, Rueckert D, Nichols TE, Klein JC, et al. Acquisition and voxelwise analysis of multi-subject diffusion data with tract-based spatial statistics. Nat Protoc. 2007;2(3):499–503.

    Article  PubMed  Google Scholar 

  65. Concha L, Bouchard T, Wiltshire K, Concha L, Gee M, Bouchard T. Corpus callosum and cingulum tractography in Parkinson’s disease. Can J Neurol Sci. 2010;37(5):595–600.

    Article  PubMed  Google Scholar 

  66. Nilsson M, Eriksson B, Surova Y, Szczepankiewicz F, La J, Leemans A, et al. Assessment of global and regional diffusion changes along white matter tracts in Parkinsonian disorders by MR tractography. PLoS One. 2013;8(6):e66022.

    Article  PubMed  PubMed Central  Google Scholar 

  67. Keller J, Rulseh AM, Komárek A, Latnerová I, Rusina R, Brožová H, et al. New non-linear color look-up table for visualization of brain fractional anisotropy based on normative measurements—principals and first clinical use. PLoS One. 2013;8(8):1–7. http://www.ncbi.nlm.nih.gov/pubmed/23990954.

    Article  Google Scholar 

  68. Aquino D, Contarino V, Albanese A, Minati L, Farina L, Grisoli M, et al. Substantia nigra in Parkinson’s disease: a multimodal MRI comparison between early and advanced stages of the disease. Neurol Sci. 2014;35(5):753–8.

    Article  PubMed  Google Scholar 

  69. Report S. Early pathological changes in the parkinsonian brain demonstrated by diffusion tensor MRI. J Neurol Neurosurg Psychiatry. 2004;75(3):481–4.

    Article  Google Scholar 

  70. Mormina E, Arrigo A, Calamuneri A, Granata F, Quartarone A, Ghilardi MF, et al. Diffusion tensor imaging parameters’ changes of cerebellar hemispheres in Parkinson’s disease. Neuroradiology. 2015;57(3):327–34.

    Article  PubMed  Google Scholar 

  71. Lu C, Ng S, Weng Y, Cheng J. Alterations of diffusion tensor MRI parameters in the brains of patients with Parkinson’s disease compared with normal brains: possible diagnostic use. Eur Radiol. 2016;26(11):3978–88. https://doi.org/10.1007/s00330-016-4232-7.

    Article  PubMed  Google Scholar 

  72. Auning E, Kjærvik VK, Selnes P, Aarsland D, Haram A, Bjørnerud A, et al. White matter integrity and cognition in Parkinson’s disease: a cross-sectional study. BMJ Open. 2014;4(1):e003976.

    Article  PubMed  PubMed Central  Google Scholar 

  73. Lenfeldt N, Hansson W, Larsson A, Nyberg L, Birgander R, Forsgren L. Diffusion tensor imaging and correlations to Parkinson rating scales. J Neurol. 2013;260(11):2823–30. http://www.ncbi.nlm.nih.gov/pubmed/23974647.

    Article  PubMed  Google Scholar 

  74. Meijer FJA, Van Rumund A, Tuladhar AM. Conventional 3T brain MRI and diffusion tensor imaging in the diagnostic workup of early stage parkinsonism. Neuroradiology. 2015;57(7):655–69. https://doi.org/10.1007/s00234-015-1515-7.

    Article  PubMed  PubMed Central  Google Scholar 

  75. Saotome K, Ishimori Y, Isobe T, Satou E. [Comparison of diffusion tensor imaging-derived fractional anisotropy in multiple centers for identical human subjects]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2012;68(9):1242–9.

    Google Scholar 

  76. Fick’s insight on liquid diffusion. [cited 2014 Jul 16]. http://www.olemiss.edu/sciencenet/saltnet/fick_insights_EOS.pdf.

  77. Beluffi G. Diffusion-weighted MR imaging. Applications in the body D.M. Koh H.C. Thoeni (Eds.). Radiol Med. 2011;116(3):499–500. http://link.springer.com/10.1007/s11547-011-0638-z.

    Article  Google Scholar 

  78. Bammer R, Holdsworth SJ, Veldhuis WB, Skare ST. New methods in diffusion-weighted and diffusion tensor imaging. Magn Reson Imaging Clin N Am. 2009;17(2):175–204. http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2768271&tool=pmcentrez&rendertype=abstract.

    Article  PubMed  PubMed Central  Google Scholar 

  79. Neil JJ. Diffusion imaging concepts for clinicians. J Magn Reson Imaging. 2008;27(1):1–7. http://www.ncbi.nlm.nih.gov/pubmed/18050325.

    Article  PubMed  Google Scholar 

  80. Basser PJ, Jones DK. Diffusion-tensor MRI: theory, experimental design and data analysis—a technical review. NMR Biomed. 2002;15(7–8):456–67. http://www.ncbi.nlm.nih.gov/pubmed/12489095.

    Article  PubMed  Google Scholar 

  81. Pierpaoli C, Basser PJ. Toward a quantitative assessment of diffusion anisotropy. Magn Reson Med. 1996;36(6):893–906. http://www.ncbi.nlm.nih.gov/pubmed/8946355.

    Article  CAS  PubMed  Google Scholar 

  82. Yoshiura T, Wu O, Zaheer A, Reese TG, Sorensen AG. Highly diffusion-sensitized MRI of brain: dissociation of gray and white matter. Magn Reson Med. 2001;45(5):734–40. http://www.ncbi.nlm.nih.gov/pubmed/11323798.

    Article  CAS  PubMed  Google Scholar 

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Authors and Affiliations

  1. Department of Anatomy, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India

    Rahul P. Kotian

  2. Department of Radio-Diagnosis and Imaging, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India

    Prakashini Koteshwar

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Kotian, R.P., Koteshwar, P. (2022). Evidence of Fractional Anisotropy in Parkinson’s Disease. In: Diffusion Tensor Imaging and Fractional Anisotropy. Springer, Singapore. https://doi.org/10.1007/978-981-19-5001-8_9

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