This article is a correction to:
Assessment of Cerebral and Cerebellar White Matter Microstructure in Spinocerebellar Ataxias 1, 2, 3, and 6 Using Diffusion MRI
Young Woo Park1*
James M. Joers1
Bin Guo2
Diane Hutter1
Khalaf Bushara3
Isaac M. Adanyeguh1
Lynn E. Eberly1,2
Gülin Öz1
Christophe Lenglet1*- 1Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota Medical School, Minneapolis, MN, United States
- 2Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, United States
- 3Department of Neurology, University of Minnesota Medical School, Minneapolis, MN, United States
A corrigendum on
Assessment of cerebral and cerebellar white matter microstructure in spinocerebellar ataxias 1, 2, 3, and 6 using diffusion MRI
by Park, Y. W., Joers, J. M., Guo, B., Hutter, D., Bushara, K., Adanyeguh, I. M., Eberly, L. E., Öz, G., and Lenglet, C. (2020). Front. Neurol. 11:411. doi: 10.3389/fneur.2020.00411
In the published article there was an error in the reference list as published. The reference list was submitted in the incorrect order. The revised reference list appears below.
The authors apologize for the above-mentioned errors and state that it does not affect the conclusions of the article in any way. The original version of this article has been updated.
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References
1. Ruano L, Melo C, Silva MC, Coutinho P. The global epidemiology of hereditary ataxia and spastic paraplegia: a systematic review of prevalence studies. Neuroepidemiology. (2014) 42:174–83. doi: 10.1159/000358801
2. Sullivan R, Yau WY, O'Connor E, Houlden H. Spinocerebellar ataxia: an update. J Neurol. (2019) 266:533–44. doi: 10.1007/s00415-018-9076-4
3. Schols L, Amoiridis G, Buttner T, Przuntek H, Epplen JT, Riess O. Autosomal dominant cerebellar ataxia: phenotypic differences in genetically defined subtypes? Ann Neurol. (1997) 42:924–32. doi: 10.1002/ana.410420615
4. Seidel K, Siswanto S, Brunt ER, den Dunnen W, Korf HW, Rub U. Brain pathology of spinocerebellar ataxias. Acta Neuropathol. (2012) 124:1–21. doi: 10.1007/s00401-012-1000-x
5. Rub U, Schols L, Paulson H, Auburger G, Kermer P, Jen JC, et al. Clinical features, neurogenetics and neuropathology of the polyglutamine spinocerebellar ataxias type 1, 2, 3, 6 and 7. Prog Neurobiol. (2013) 104:38–66. doi: 10.1016/j.pneurobio.2013.01.001
6. Orr HT, Chung MY, Banfi S, Kwiatkowski TJ Jr, Servadio A, Beaudet AL, et al. Expansion of an unstable trinucleotide CAG repeat in spinocerebellar ataxia type 1. Nat Genet. (1993) 4:221–6. doi: 10.1038/ng0793-221
7. Rub U, Burk K, Timmann D, den Dunnen W, Seidel K, Farrag K, et al. Spinocerebellar ataxia type 1 (SCA1): new pathoanatomical and clinico-pathological insights. Neuropathol Appl Neurobiol. (2012) 38:665–80. doi: 10.1111/j.1365-2990.2012.01259.x
8. Armstrong J, Bonaventura I, Rojo A, Gonzalez G, Corral J, Nadal N, et al. Spinocerebellar ataxia type 2 (SCA2) with white matter involvement. Neurosci Lett. (2005) 381:247–51. doi: 10.1016/j.neulet.2005.02.063
9. Riess O, Rub U, Pastore A, Bauer P, Schols L. SCA3: neurological features, pathogenesis and animal models. Cerebellum. (2008) 7:125–37. doi: 10.1007/s12311-008-0013-4
10. Ishikawa K, Watanabe M, Yoshizawa K, Fujita T, Iwamoto H, Yoshizawa T, et al. Clinical, neuropathological, and molecular study in two families with spinocerebellar ataxia type 6 (SCA6). J Neurol Neurosurg Psychiatry. (1999) 67:86–9.
11. Ginestroni A, Della Nave R, Tessa C, Giannelli M, De Grandis D, Plasmati R, et al. Brain structural damage in spinocerebellar ataxia type 1: a VBM study. J Neurol. (2008) 255:1153–8. doi: 10.1007/s00415-008-0860-4
12. Jung BC, Choi SI, Du AX, Cuzzocreo JL, Ying HS, Landman BA, et al. MRI shows a region-specific pattern of atrophy in spinocerebellar ataxia type 2. Cerebellum. (2012) 11:272–9. doi: 10.1007/s12311-011-0308-8
13. Rezende TJR, de Paiva JLR, Martinez ARM, Lopes-Cendes I, Pedroso JL, Barsottini OGP, et al. Structural signature of SCA3: from presymptomatic to late disease stages. Ann Neurol. (2018) 84:401–8. doi: 10.1002/ana.25297
14. Reetz K, Costa AS, Mirzazade S, Lehmann A, Juzek A, Rakowicz M, et al. Genotype-specific patterns of atrophy progression are more sensitive than clinical decline in SCA1, SCA3 and SCA6. Brain. (2013) 136:905–17. doi: 10.1093/brain/aws369
15. Oz G, Iltis I, Hutter D, Thomas W, Bushara KO, Gomez CM. Distinct neurochemical profiles of spinocerebellar ataxias 1, 2, 6, and cerebellar multiple system atrophy. Cerebellum. (2011) 10:208–17. doi: 10.1007/s12311-010-0213-6
16. Adanyeguh IM, Henry PG, Nguyen TM, Rinaldi D, Jauffret C, Valabregue R, et al. In vivo neurometabolic profiling in patients with spinocerebellar ataxia types 1, 2, 3, and 7. Movement Disord. (2015) 30:662–70. doi: 10.1002/mds.26181
17. Joers JM, Deelchand DK, Lyu T, Emir UE, Hutter D, Gomez CM, et al. Neurochemical abnormalities in premanifest and early spinocerebellar ataxias. Ann Neurol. (2018) 83:816–29. doi: 10.1002/ana.25212
18. Martins CR, Martinez ARM, Vasconcelos IF, de Rezende TJR, Casseb RF, Pedroso JL, et al. Structural signature in SCA1: clinical correlates, determinants and natural history. J Neurol. (2018) 265:2949–59. doi: 10.1007/s00415-018-9087-1
19. Deelchand DK, Joers JM, Ravishankar A, Lyu T, Emir UE, Hutter D, et al. Sensitivity of volumetric magnetic resonance imaging and magnetic resonance spectroscopy to progression of spinocerebellar ataxia type 1. Mov Disord Clin Pract. (2019) 6:549–58. doi: 10.1002/mdc3.12804
20. Mandelli ML, De Simone T, Minati L, Bruzzone MG, Mariotti C, Fancellu R, et al. Diffusion tensor imaging of spinocerebellar ataxias types 1 and 2. AJNR Am J Neuroradiol. (2007) 28:1996–2000. doi: 10.3174/ajnr.A0716
21. Della Nave R, Ginestroni A, Tessa C, Salvatore E, De Grandis D, Plasmati R, et al. Brain white matter damage in SCA1 and SCA2. An in vivo study using voxel-based morphometry, histogram analysis of mean diffusivity and tract-based spatial statistics. Neuroimage. (2008) 43:10–9. doi: 10.1016/j.neuroimage.2008.06.036
22. Prakash N, Hageman N, Hua X, Toga AW, Perlman SL, Salamon N. Patterns of fractional anisotropy changes in white matter of cerebellar peduncles distinguish spinocerebellar ataxia-1 from multiple system atrophy and other ataxia syndromes. Neuroimage. (2009) 47 (Suppl. 2):T72–81. doi: 10.1016/j.neuroimage.2009.05.013
23. Alcauter S, Barrios FA, Diaz R, Fernandez-Ruiz J. Gray and white matter alterations in spinocerebellar ataxia type 7: an in vivo DTI and VBM study. Neuroimage. (2011) 55:1–7. doi: 10.1016/j.neuroimage.2010.12.014
24. Kang JS, Klein JC, Baudrexel S, Deichmann R, Nolte D, Hilker R. White matter damage is related to ataxia severity in SCA3. J Neurol. (2014) 261:291–9. doi: 10.1007/s00415-013-7186-6
25. Adanyeguh IM, Perlbarg V, Henry PG, Rinaldi D, Petit E, Valabregue R, et al. Autosomal dominant cerebellar ataxias: imaging biomarkers with high effect sizes. Neuroimage Clin. (2018) 19:858–67. doi: 10.1016/j.nicl.2018.06.011
26. Froeling M, Pullens P, Leemans A. DTI analysis methods: region of interest analysis. In:Van Hecke W, Emsell L, and Sunaert S, , editors. Diffusion Tensor Imaging: A Practical Handbook. New York, NY: Springer New York (2016). p. 175–82. doi: 10.1007/978-1-4939-3118-7_9
27. Falcon MI, Gomez CM, Chen EE, Shereen A, Solodkin A. Early cerebellar network shifting in spinocerebellar ataxia type 6. Cereb Cortex. (2016) 26:3205–18. doi: 10.1093/cercor/bhv154
28. Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE, et al. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage. (2006) 31:1487–505. doi: 10.1016/j.neuroimage.2006.02.024
29. Tournier JD, Smith R, Raffelt D, Tabbara R, Dhollander T, Pietsch M, et al. MRtrix3: a fast, flexible and open software framework for medical image processing and visualisation. Neuroimage. (2019) 202:116137. doi: 10.1016/j.neuroimage.2019.116137
30. Mascalchi M, Toschi N, Giannelli M, Ginestroni A, Della Nave R, Nicolai E, et al. Progression of microstructural damage in spinocerebellar ataxia type 2: a longitudinal DTI study. AJNR Am J Neuroradiol. (2015) 36:1096–01. doi: 10.3174/ajnr.A4343
31. Mascalchi M, Marzi C, Giannelli M, Ciulli S, Bianchi A, Ginestroni A, et al. Histogram analysis of DTI-derived indices reveals pontocerebellar degeneration and its progression in SCA2. PLoS ONE. (2018) 13:200258. doi: 10.1371/journal.pone.0200258
32. Schmitz-Hubsch T, du Montcel ST, Baliko L, Berciano J, Boesch S, Depondt C, et al. Scale for the assessment and rating of ataxia: development of a new clinical scale. Neurology. (2006) 66:1717–20. doi: 10.1212/01.wnl.0000219042.60538.92
33. Maas RP, van Gaalen J, Klockgether T, van de Warrenburg BP. The preclinical stage of spinocerebellar ataxias. Neurology. (2015) 85:96–103. doi: 10.1212/WNL.0000000000001711
34. du Montcel ST, Durr A, Rakowicz M, Nanetti L, Charles P, Sulek A, et al. Prediction of the age at onset in spinocerebellar ataxia type 1, 2, 3 and 6. J Med Genet. (2014) 51:479–86. doi: 10.1136/jmedgenet-2013-102200
35. Subramony SH, May W, Lynch D, Gomez C, Fischbeck K, Hallett M, et al. Measuring Friedreich ataxia: interrater reliability of a neurologic rating scale. Neurology. (2005) 64:1261–2. doi: 10.1212/01.WNL.0000156802.15466.79
36. Patel M, Isaacs CJ, Seyer L, Brigatti K, Gelbard S, Strawser C, et al. Progression of Friedreich ataxia: quantitative characterization over 5 years. Ann Clin Transl Neurol. (2016) 3:684–94. doi: 10.1002/acn3.332
37. Jenkinson M, Beckmann CF, Behrens TE, Woolrich MW, Smith SM. Fsl. Neuroimage. (2012) 62:782–90. doi: 10.1016/j.neuroimage.2011.09.015
38. Hua K, Zhang J, Wakana S, Jiang H, Li X, Reich DS, et al. Tract probability maps in stereotaxic spaces: analyses of white matter anatomy and tract-specific quantification. Neuroimage. (2008) 39:336–47. doi: 10.1016/j.neuroimage.2007.07.053
39. Keihaninejad S, Zhang H, Ryan NS, Malone IB, Modat M, Cardoso MJ, et al. An unbiased longitudinal analysis framework for tracking white matter changes using diffusion tensor imaging with application to Alzheimer's disease. Neuroimage. (2013) 72:153–63. doi: 10.1016/j.neuroimage.2013.01.044
40. Zhang H, Avants BB, Yushkevich PA, Woo JH, Wang S, McCluskey LF, et al. High-dimensional spatial normalization of diffusion tensor images improves the detection of white matter differences: an example study using amyotrophic lateral sclerosis. IEEE Trans Med Imaging. (2007) 26:1585–97. doi: 10.1109/TMI.2007.906784
41. Park YW, Joers JM, Hutter D, Bushara KO, Oz G, Lenglet C. Improved sensitivity to longitudinal changes with advanced DTI analysis in a rare neurodegenerative disease. In: ISMRM 27th Annual Meeting and Exhibition. Montreal, QC (2019).
42. Raffelt DA, Tournier JD, Smith RE, Vaughan DN, Jackson G, Ridgway GR, et al. Investigating white matter fibre density and morphology using fixel-based analysis. Neuroimage. (2017) 144 (Pt A):58–73. doi: 10.1016/j.neuroimage.2016.09.029
43. Schulz JB, Borkert J, Wolf S, Schmitz-Hubsch T, Rakowicz M, Mariotti C, et al. Visualization, quantification and correlation of brain atrophy with clinical symptoms in spinocerebellar ataxia types 1, 3 and 6. Neuroimage. (2010) 49:158–68. doi: 10.1016/j.neuroimage.2009.07.027
44. Diedrichsen J. A spatially unbiased atlas template of the human cerebellum. Neuroimage. (2006) 33:127–38. doi: 10.1016/j.neuroimage.2006.05.056
45. Romero JE, Coupe P, Giraud R, Ta VT, Fonov V, Park MTM, et al. CERES: a new cerebellum lobule segmentation method. Neuroimage. (2017) 147:916–24. doi: 10.1016/j.neuroimage.2016.11.003
46. Kinnunen KM, Greenwood R, Powell JH, Leech R, Hawkins PC, Bonnelle V, et al. White matter damage and cognitive impairment after traumatic brain injury. Brain. (2011) 134 (Pt 2):449–63. doi: 10.1093/brain/awq347
Keywords: SCA1, SCA2, SCA3, SCA6, diffusion MRI, Spinocerebeflar ataxias
Citation: Park YW, Joers JM, Guo B, Hutter D, Bushara K, Adanyeguh IM, Eberly LE, Öz G and Lenglet C (2022) Corrigendum: Assessment of cerebral and cerebellar white matter microstructure in spinocerebellar ataxias 1, 2, 3, and 6 using diffusion MRI. Front. Neurol. 13:1038298. doi: 10.3389/fneur.2022.1038298
Received: 06 September 2022; Accepted: 07 September 2022;
Published: 29 September 2022.
Approved by: Frontiers Editorial Office, Frontiers Media SA, Switzerland
Copyright © 2022 Park, Joers, Guo, Hutter, Bushara, Adanyeguh, Eberly, Öz and Lenglet. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Young Woo Park, park1556@umn.edu; Christophe Lenglet, clenglet@umn.edu