Skip to main content

MRI Aspects: Conventional, SWI, and DTI

  • Chapter
  • First Online:
Essentials of Cerebellum and Cerebellar Disorders

Abstract

This chapter will focus on structural magnetic resonance imaging (MRI) in degenerative cerebellar ataxias. First, we will briefly introduce MRI pulse sequences, which are routinely used for brain imaging in clinical practice and biomedical research. Next, we will describe characteristic MRI findings in the most common forms of degenerative ataxias. Many of the degenerative cerebellar ataxias are disorders of the gray matter, and much of the pathology is seen on T1-weighted MRI images. Three main patterns of cerebellar degeneration are distinguished: (i) “pure” cerebellar degeneration (e.g., in spinocerebellar ataxia type 6 (SCA6)), (ii) olivopontocerebellar atrophy (e.g., in the cerebellar type of multiple system atrophy (MSA-C)), and (iii) predominant atrophy of the spinal cord (e.g., in Friedreich’s ataxia). There is a subset of cerebellar ataxias, which are accompanied by white matter abnormalities. White matter abnormalities are seen as hyperintensities in T2-weighted, proton density-weighted (PD), and fluid-attenuated inversion recovery (FLAIR) images. Some patterns of white matter disease are suggestive of certain types of ataxias, e.g., hyperintensities in the pons (“hot cross bun” sign) and the middle cerebellar peduncles in MSA-C. Susceptibility-weighted imaging (SWI) and quantitative susceptibility mapping (QSM) are not only helpful to show abnormal brain iron deposition (e.g., in superficial siderosis), but also accompanying atrophy of the iron-rich cerebellar nuclei (e.g., in SCA6). Diffusion tensor imaging (DTI) is helpful to show changes in the integrity of cerebellar white matter and cerebellar peduncles.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Assaf Y, Pasternak O (2008) Diffusion tensor imaging (DTI)-based white matter mapping in brain research: a review. J Mol Neurosci 34:51–61

    Article  CAS  PubMed  Google Scholar 

  • Baldarçara L, Currie S, Hadjivassiliou M, Hoggard N, Jack A, Jackowski AP, Mascalchi M, Parazzini C, Reetz K, Righini A, Schulz JB, Vella A, Webb SJ, Habas C (2015) Consensus paper: radiological biomarkers of cerebellar diseases. Cerebellum 14:175–196

    Article  PubMed  PubMed Central  Google Scholar 

  • Brown SS, Stanfield AC (2015) Fragile X premutation carriers: a systematic review of neuroimaging findings. J Neurol Sci 352:19–28

    Article  PubMed  Google Scholar 

  • Bürk K, Abele M, Fetter M, Dichgans J, Skalej M, Laccone F, Didierjean O, Brice A, Klockgether T (1996) Autosomal dominant cerebellar ataxia type I clinical features and MRI in families with SCA1, SCA2 and SCA3. Brain 119:1497–1505

    Article  PubMed  Google Scholar 

  • Clemm von Hohenberg C, Schocke MF, Wigand MC, Nachbauer W, Guttmann CR, Kubicki M, Shenton ME, Boesch S, Egger K (2013) Radial diffusivity in the cerebellar peduncles correlates with clinical severity in Friedreich ataxia. Neurol Sci 34:1459–1462

    Article  PubMed  Google Scholar 

  • Deistung A, Schweser F, Reichenbach JR (2017) Overview of quantitative susceptibility mapping. NMR Biomed 30. https://doi.org/10.1002/nbm.3569. Epub 2016 Jul 19

  • Deistung A, Jäschke D, Draganova R, Pfaffenrot V, Hulst T, Steiner KM, Thieme A, Giordano IA, Klockgether T, Tunc S, Münchau A, Minnerop M, Göricke SL, Reichenbach JR, Timmann D (2022) Quantitative susceptibility mapping reveals alterations of dentate nuclei in common types of degenerative cerebellar ataxias. Brain Commun 4:fcab306. https://doi.org/10.1093/braincomms/fcab306

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Dupré N, Gros-Louis F, Chrestian N, Verreault S, Brunet D, de Verteuil D, Brais B, Bouchard JP, Rouleau GA (2007) Clinical and genetic study of autosomal recessive cerebellar ataxia type 1. Ann Neurol 62:93–98

    Article  PubMed  Google Scholar 

  • Jung BC, Choi SI, Du AX, Cuzzocreo JL, Geng ZZ, Ying HS, Perlman SL, Toga AW, Prince JL, Ying SH (2012) Principal component analysis of cerebellar shape on MRI separates SCA types 2 and 6 into two archetypal modes of degeneration. Cerebellum 11:887–895

    Article  PubMed  PubMed Central  Google Scholar 

  • Harding IH, Chopra S, Arrigoni F, Boesch S, Brunetti A, Cocozza S, Corben LA, Deistung A, Delatycki M, Diciotti S, Dogan I, Evangelisti S, França MC Jr, Göricke SL, Georgiou-Karistianis N, Gramegna LL, Henry PG, Hernandez-Castillo CR, Hutter D, Jahanshad N, Joers JM, Lenglet C, Lodi R, Manners DN, Martinez ARM, Martinuzzi A, Marzi C, Mascalchi M, Nachbauer W, Pane C, Peruzzo D, Pisharady PK, Pontillo G, Reetz K, Rezende TJR, Romanzetti S, Saccà F, Scherfler C, Schulz JB, Stefani A, Testa C, Thomopoulos SI, Timmann D, Tirelli S, Tonon C, Vavla M, Egan GF, Thompson PM (2021) Brain structure and degeneration staging in Friedreich ataxia: magnetic resonance imaging volumetrics from the ENIGMA-Ataxia Working Group. Ann Neurol 90:570–583. https://doi.org/10.1002/ana.26200. Epub 2021 Sep 17

    Article  PubMed  PubMed Central  Google Scholar 

  • Hernandez-Castillo CR, King M, Diedrichsen J, Fernandez-Ruiz J (2018) Unique degeneration signatures in the cerebellar cortex for spinocerebellar ataxias 2, 3, and 7. Neuroimage Clin 20:931–938. https://doi.org/10.1016/j.nicl.2018.09.026. Epub 2018 Sep 27. PMID: 30308379; PMCID: PMC6178193

    Article  PubMed  PubMed Central  Google Scholar 

  • Klockgether T, Petersen D, Grodd W, Dichgans J (1991) Early onset cerebellar ataxia with retained tendon reflexes. Clinical, electrophysiological and MRI observations in comparison with Friedreich’s ataxia. Brain 114:1559–1573

    Article  PubMed  Google Scholar 

  • Koeppen AH, Michael SC, Knutson MD, Haile DJ, Qian J, Levi S, Santambrogio P, Garrick MD, Lamarche JB (2007) The dentate nucleus in Friedreich’s ataxia: the role of iron-responsive proteins. Acta Neuropathol 114:163–173. https://doi.org/10.1007/s00401-007-0220-y. Epub 2007 Apr 11. PMID: 17443334

    Article  CAS  PubMed  Google Scholar 

  • Le Bihan D (2003) Looking into the functional architecture of the brain with diffusion MRI. Nat Rev Neurosci 4:469–480

    Article  PubMed  Google Scholar 

  • Li M, Chen X, Xu HL, Huang Z, Chen N, Tu Y, Gan S, Hu J (2022) Brain structural abnormalities in the preclinical stage of Machado-Joseph disease/spinocerebellar ataxia type 3 (MJD/SCA3): evaluation by MRI morphometry, diffusion tensor imaging and neurite orientation dispersion and density imaging. J Neurol 269(6):2989–2998. https://doi.org/10.1007/s00415-021-10890-2. Epub ahead of print. PMID: 34783886

    Article  CAS  PubMed  Google Scholar 

  • McRobbie DW (2007) MRI from picture to proton, 2nd edn. Cambridge University Press, Cambridge, UK

    Google Scholar 

  • Mittal S, Wu Z, Neelavalli J, Haacke EM (2009) Susceptibility-weighted imaging: technical aspects and clinical applications, part 2. AJNR Am J Neuroradiol 30:232–252

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Prakash N, Hageman N, Hua X, Toga AW, Perlman SL, Salamon N (2009) Patterns of fractional anisotropy changes in white matter of cerebellar peduncles distinguish spinocerebellar ataxia-1 from multiple system atrophy and other ataxia syndromes. NeuroImage 47(Suppl 2):T72–T81

    Article  PubMed  Google Scholar 

  • Prosch H, Grois N, Wnorowski M, Steiner M, Prayer D (2007) Long-term MR imaging course of neurodegenerative Langerhans cell histiocytosis. AJNR Am J Neuroradiol 28:1022–1028

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Renaud M, Anheim M, Kamsteeg EJ, Mallaret M, Mochel F, Vermeer S, Drouot N, Pouget J, Redin C, Salort-Campana E, Kremer HP, Verschuuren-Bemelmans CC, Muller J, Scheffer H, Durr A, Tranchant C, Koenig M (2014) Autosomal recessive cerebellar ataxia type 3 due to ANO10 mutations: delineation and genotype-phenotype correlation study. JAMA Neurol 71:1305–1310

    Article  PubMed  Google Scholar 

  • Roosendaal SD, van de Brug T, Alves CAPF, Blaser S, Vanderver A, Wolf NI, van der Knaap MS (2021) Imaging patterns characterizing mitochondrial leukodystrophies. AJNR Am J Neuroradiol 42:1334–1340. https://doi.org/10.3174/ajnr.A7097. Epub 2021 Apr 1. PMID: 34255734; PMCID: PMC8324261

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Schulz JB, Klockgether T, Petersen D, Jauch M, Müller-Schauenburg W, Spieker S, Voigt K, Dichgans J (1994) Multiple system atrophy: natural history, MRI morphology, and dopamine receptor imaging with 123IBZM-SPECT. J Neurol Neurosurg Psychiatry 57:1047–1056

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Schulz JB, Borkert J, Wolf S, Schmitz-Hübsch T, Rakowicz M, Mariotti C, Schöls L, Timmann D, van de Warrenburg B, Dürr A, Pandolfo M, Kang JS, Mandly AG, Nägele T, Grisoli M, Boguslawska R, Bauer P, Klockgether T, Hauser TK (2010) Visualization, quantification and correlation of brain atrophy with clinical symptoms in spinocerebellar ataxia types 1, 3 and 6. NeuroImage 49:158–156

    Article  PubMed  Google Scholar 

  • Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE, Watkins KE, Ciccarelli O, Cader MZ, Matthews PM, Behrens TE (2006) Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. NeuroImage 31:1487–1505

    Article  PubMed  Google Scholar 

  • Stefanescu MR, Dohnalek M, Maderwald S, Thürling M, Minnerop M, Beck A, Schlamann M, Diedrichsen J, Ladd ME, Timmann D (2015) Structural and functional magnetic resonance imaging abnormalities of cerebellar cortex and nuclei in spinocerebellar ataxia type 3, spinocerebellar ataxia type 6, and Friedreich’s ataxia. Brain 138:1182–1197

    Article  PubMed  PubMed Central  Google Scholar 

  • Schicks J, Synofzik M, Schulte C, Schols L (2010). POLG, but not PEO1, is a frequent cause of cerebellar ataxia in Central Europe. Mov Disord 25:2678–82

    Google Scholar 

  • Synofzik M, Srulijes K, Godau J, Berg D, Schöls L (2012) Characterizing POLG ataxia: clinics, electrophysiology and imaging. Cerebellum 11:1002–1011. https://doi.org/10.1007/s12311-012-0378-2. PMID: 22528963

    Article  PubMed  Google Scholar 

  • Tonekaboni SH, Mollamohammadi M (2014) Neurodegeneration with brain iron accumulation: an overview. Iran J Child Neurol 8:1–8

    PubMed  PubMed Central  Google Scholar 

  • Vanderver A, Prust M, Tonduti D, Mochel F, Hussey HM, Helman G, Garbern J, Eichler F, Labauge P, Aubourg P, Rodriguez D, Patterson MC, Van Hove JL, Schmidt J, Wolf NI, Boespflug-Tanguy O, Schiffmann R, van der Knaap MS, Consortium G (2015) Case definition and classification of leukodystrophies and leukoencephalopathies. Mol Genet Metab 114;494–500

    Google Scholar 

  • van der Knaap MS, Schiffmann R, Mochel F, Wolf NI (2019) Diagnosis, prognosis, and treatment of leukodystrophies. Lancet Neurol 18:962–972. https://doi.org/10.1016/S1474-4422(19)30143-7. Epub 2019 Jul 12. PMID: 31307818

    Article  PubMed  Google Scholar 

  • Wang J, Gong X (2011) Superficial siderosis of the central nervous system: MR findings with susceptibility-weighted imaging. Clin Imaging 35:217–221

    Article  PubMed  Google Scholar 

  • Wattjes M, Lutterbey G, Harzheim M, Gieseke J, Träber F, Klotz L, Klockgether T, Schild H (2006) Imaging of inflammatory lesions at 3.0 Tesla in patients with clinically isolated syndromes suggestive of multiple sclerosis: a comparison of fluid-attenuated inversion recovery with T2 turbo spin-echo. Eur Radiol 16:1494–1500

    Article  PubMed  Google Scholar 

  • Wolf NI (2012) Ataxia in metabolic and white matter disorders. In: Boltshauser E, Schmahmann J (eds) Cerebellar disorders in children. Clinics in developmental medicine no. 191–192. Mac Keith Press, London, pp 269–281

    Google Scholar 

  • Wüllner U, Klockgether T, Petersen D, Naegele T, Dichgans J (1993) Magnetic resonance imaging in hereditary and idiopathic ataxia. Neurology 43:318–325

    Article  PubMed  Google Scholar 

  • Zhang H, Schneider T, Wheeler-Kingshott CA, Alexander DC (2012) NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. NeuroImage 61:1000–1016

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thomas M. Ernst .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Ernst, T.M., Deistung, A., Schlamann, M., Timmann, D. (2023). MRI Aspects: Conventional, SWI, and DTI. In: Gruol, D.L., Koibuchi, N., Manto, M., Molinari, M., Schmahmann, J.D., Shen, Y. (eds) Essentials of Cerebellum and Cerebellar Disorders. Springer, Cham. https://doi.org/10.1007/978-3-031-15070-8_50

Download citation

Publish with us

Policies and ethics