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Advanced MRI-Methods for Evaluation of Parkinson’s Disease

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Abstract

Biopsies revealed an increased iron content in the dopaminergic neurons of nigrosomes in substantia nigra for Parkinson’s disease. In gradient echoes paramagnetic iron leads to a negative phase shift in the complex signal. The combination of magnitude and phase images allows to obtain susceptibility-weighted images (SWI) and quantitative susceptibility maps (QSM) which highlight the resulting susceptibility changes and allow selective imaging of the substantia nigra. The pigment neuromelanin in substantia nigra can be imaged separately by magnetization transfer. Both methods serve as biomarkers for Parkinson’s disease and confirm the disintegration of neuromelanin by iron compounds as the origin of the disease. Another application of MRI in Parkinson’s disease is the control of the localization of implanted electrodes for therapy using deep brain stimulation.

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Fig. 4

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Fig. 5

(reproduced from Ref. [5])

Fig. 6

(reproduced from Ref. [4]) (Color figure online)

Fig. 7

reproduced from Refs. [8, 9]

Fig. 8

(reproduced from Ref. [10]) (Color figure online)

Fig. 9

reproduced from Ref. [11]

Fig. 10

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Fig. 11

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References

  1. E.M. Haacke, S. Mittal, Z. Wu, J. Neelavalli, Y.-C.N. Cheng, Am. J. Neuroradiol. 30(1), 19 (2009)

    Article  Google Scholar 

  2. S. Mittal, Z. Wu, J. Neelavalli, E.M. Haacke, Am. J. Neuroradiol. 30, 232 (2009)

    Article  Google Scholar 

  3. E.M. Haacke, Y. Xu, Y.-C.N. Cheng, J.R. Reichenbach, Mag. Reson. Med. 52, 612–618 (2004)

    Article  Google Scholar 

  4. C. Liu, H. Wei, N.-J. Gong, M. Cronin, R. Dibb, K. Decker, Tomography 1(1), 3–17 (2015)

    Article  Google Scholar 

  5. J. Liu, T. Liu, L. de Rochefort, J. Ledoux, I. Khalidov, W. Chen, A.J. Tiouris, C. Wisnieff, P. Spincemaille, M.R. Prince, Y. Wang, Neuroimage 59(3), 2560–2568 (2012)

    Article  Google Scholar 

  6. F. Schweser, A. Deistung, B.W. Lehr, J.R. Eciehnbach, Neuroimage 54, 2789 (2011)

    Article  Google Scholar 

  7. A. Warton, R. Bowtell, Neuroimage 53, 515 (2010)

    Article  Google Scholar 

  8. N. Krebs et al., Proc. Intl. Soc. Mag. Reson. Med. 18, 702 (2010)

    Google Scholar 

  9. G. Du, T. Liu, M.M. Lewis, J. Vesek, L. Kon, M. Styner, Q.X. Yang, X. Huang, Proc. Intl. Soc. Mag. Reson. Med. 22, 1912 (2014)

    Google Scholar 

  10. M. Brammerloh, E. Kirilina, R. Sibgatulin, K.-H. Herrmann, T. Reinert, C. Jäger, Pelicon, P. Vavpetič, K.J. Pine, A. Deistung, M. Morawski, J.R. Reichenbach, N. Weiskopf, Proc. Intl. Soc. Mag. Reson. Med. 28, 0160 (2020)

    Google Scholar 

  11. K. Mi Lee, H.-G. Kim, Proc. Intl. Soc. Mag. Reson. Med. 24, 1249 (2016)

    Google Scholar 

  12. Z. Cheng, Y. Li, M. Jokar, S.K. Sethi, W. Chen, S. Chen, F. Yan, E.M. Haacke, Proc. Intl. Soc. Mag. Reson. Med. 28, 0201 (2020)

    Google Scholar 

  13. P.J. Basser, C. Pierpaoli, J. Magn. Reson. ser. B 111, 209–219 (1996)

    Article  Google Scholar 

  14. R. Patriat, J. Kaplan, J.J. Niederer, S.A. Huffmaster, M. Petrucci, N. Harel, C. McKinnon, Proc. Intl. Soc. Mag. Reson. Med. 26, 0425 (2018)

    Google Scholar 

  15. S.M. Smith, J. Andersson, E.J. Auerbach, C.F. Beckmann, J. Bijsterbosch, G. Douaud, E. Duff, D.A. Feinberg, L. Griffanti, Ludovica NeuroImage 80, 168 (2013)

    Google Scholar 

  16. U. Eichhoff, Appl. Magn. Reson. 49, 579–587 (2018)

    Article  Google Scholar 

  17. K.R. Sreenivasan, E. Bayram, V. Mishra, Z. Yang, C. Bird, X. Zhuang, D. Cordes, B. BluettProc, Intl. Soc. Mag. Reson. Med. 26, 0426 (2018)

    Google Scholar 

  18. K.S. Choi, P.R. Posse, P.E. Holtzheimer, C.C. McIntyre, X.P. Hu, H.S. Mayberg, Proc. Intl. Soc. Mag. Reson. Med. 21, 1183 (2013)

    Google Scholar 

  19. J.R. Younce, H.-Y. Lai, Y. Yu, I. Shih, Proc. Intl. Soc. Mag. Reson. Med. 21, 0751 (2013)

    Google Scholar 

Download references

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  1. Bruker BioSpin GmbH Retired, Max Hildebrandt-Str.40, 76571, Gaggenau, Germany

    Uwe Eichhoff

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  1. Uwe Eichhoff
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Correspondence to Uwe Eichhoff.

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Eichhoff, U. Advanced MRI-Methods for Evaluation of Parkinson’s Disease. Appl Magn Reson 52, 1707–1719 (2021). https://doi.org/10.1007/s00723-021-01365-8

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  • DOI: https://doi.org/10.1007/s00723-021-01365-8

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