Literature DB >> 26521073

Structural and Functional Magnetic Resonance Imaging of the Cerebellum: Considerations for Assessing Cerebellar Ataxias.

Andreas Deistung1, Maria R Stefanescu2,3, Thomas M Ernst2,3, Marc Schlamann4,5, Mark E Ladd3,6, Jürgen R Reichenbach7,8, Dagmar Timmann2.   

Abstract

Magnetic resonance imaging (MRI) of the brain is of high interest for diagnosing and understanding degenerative ataxias. Here, we present state-of-the-art MRI methods to characterize structural alterations of the cerebellum and introduce initial experiments to show abnormalities in the cerebellar nuclei. Clinically, T1-weighted MR images are used to assess atrophy of the cerebellar cortex, the brainstem, and the spinal cord, whereas T2-weighted and PD-weighted images are typically employed to depict potential white matter lesions that may be associated with certain types of ataxias. More recently, attention has also focused on the characterization of the cerebellar nuclei, which are discernible on spatially highly resolved iron-sensitive MR images due to their relatively high iron content, including T2 (*)-weighted images, susceptibility-weighted images (SWI), effective transverse relaxation rate (R2 (*)) maps, and quantitative susceptibility maps (QSM). Among these iron-sensitive techniques, QSM reveals the best contrast between cerebellar nuclei and their surroundings. In particular, the gyrification of the dentate nuclei is prominently depicted, even at the clinically widely available field strength of 3 T. The linear relationship between magnetic susceptibility and local iron content allows for determination of iron deposition in cerebellar nuclei non-invasively. The increased signal-to-noise ratio of ultrahigh-field MRI (B0 ≥ 7 T) and advances in spatial normalization methods enable functional MRI (fMRI) at the level of the cerebellar cortex and cerebellar nuclei. Data from initial fMRI studies are presented in three common forms of hereditary ataxias (Friedreich's ataxia, spinocerebellar ataxia type 3, and spinocerebellar ataxia type 6). Characteristic changes in the fMRI signal are discussed in the light of histopathological data and current knowledge of the underlying physiology of the fMRI signal in the cerebellum.

Entities:  

Keywords:  Ataxia; Cerebellar cortex; Cerebellar nuclei; Functional MRI; Quantitative susceptibility mapping; Structural MRI

Mesh:

Substances:

Year:  2016        PMID: 26521073     DOI: 10.1007/s12311-015-0738-9

Source DB:  PubMed          Journal:  Cerebellum        ISSN: 1473-4222            Impact factor:   3.847


  22 in total

1.  Evidence for a motor somatotopy in the cerebellar dentate nucleus--an FMRI study in humans.

Authors:  Michael Küper; Markus Thürling; Roxana Stefanescu; Stefan Maderwald; Johannes Roths; Hans G Elles; Mark E Ladd; Jörn Diedrichsen; Dagmar Timmann
Journal:  Hum Brain Mapp       Date:  2011-09-21       Impact factor: 5.038

Review 2.  Neuronal inhibition and excitation, and the dichotomic control of brain hemodynamic and oxygen responses.

Authors:  Martin Lauritzen; Claus Mathiesen; Katharina Schaefer; Kirsten J Thomsen
Journal:  Neuroimage       Date:  2012-01-12       Impact factor: 6.556

3.  Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: an approach to in vivo brain iron metabolism?

Authors:  Ferdinand Schweser; Andreas Deistung; Berengar Wendel Lehr; Jürgen Rainer Reichenbach
Journal:  Neuroimage       Date:  2010-10-30       Impact factor: 6.556

4.  Autosomal dominant cerebellar ataxia type I clinical features and MRI in families with SCA1, SCA2 and SCA3.

Authors:  K Bürk; M Abele; M Fetter; J Dichgans; M Skalej; F Laccone; O Didierjean; A Brice; T Klockgether
Journal:  Brain       Date:  1996-10       Impact factor: 13.501

5.  A spatially unbiased atlas template of the human cerebellum.

Authors:  Jörn Diedrichsen
Journal:  Neuroimage       Date:  2006-08-14       Impact factor: 6.556

6.  Structural and functional MRI abnormalities of cerebellar cortex and nuclei in SCA3, SCA6 and Friedreich's ataxia.

Authors:  Maria R Stefanescu; Moritz Dohnalek; Stefan Maderwald; Markus Thürling; Martina Minnerop; Andreas Beck; Marc Schlamann; Joern Diedrichsen; Mark E Ladd; Dagmar Timmann
Journal:  Brain       Date:  2015-03-28       Impact factor: 13.501

Review 7.  Update on degenerative ataxias.

Authors:  Thomas Klockgether
Journal:  Curr Opin Neurol       Date:  2011-08       Impact factor: 5.710

8.  Pathoanatomy of cerebellar degeneration in spinocerebellar ataxia type 2 (SCA2) and type 3 (SCA3).

Authors:  W Scherzed; E R Brunt; H Heinsen; R A de Vos; K Seidel; K Bürk; L Schöls; G Auburger; D Del Turco; T Deller; H W Korf; W F den Dunnen; U Rüb
Journal:  Cerebellum       Date:  2012-09       Impact factor: 3.847

9.  The dentate nucleus in Friedreich's ataxia: the role of iron-responsive proteins.

Authors:  Arnulf H Koeppen; Susan C Michael; Mitchell D Knutson; David J Haile; Jiang Qian; Sonia Levi; Paolo Santambrogio; Michael D Garrick; Jacques B Lamarche
Journal:  Acta Neuropathol       Date:  2007-04-11       Impact factor: 17.088

10.  Friedreich's ataxia causes redistribution of iron, copper, and zinc in the dentate nucleus.

Authors:  Arnulf H Koeppen; R Liane Ramirez; Devin Yu; Sarah E Collins; Jiang Qian; Patrick J Parsons; Karl X Yang; Zewu Chen; Joseph E Mazurkiewicz; Paul J Feustel
Journal:  Cerebellum       Date:  2012-12       Impact factor: 3.847

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  11 in total

1.  Cerebellum: from Fundamentals to Translational Approaches. The Seventh International Symposium of the Society for Research on the Cerebellum.

Authors:  Mario Manto; Peter Mariën
Journal:  Cerebellum       Date:  2016-02       Impact factor: 3.847

2.  Improved Neuroimaging Atlas of the Dentate Nucleus.

Authors:  Naying He; Jason Langley; Daniel E Huddleston; Huawei Ling; Hongmin Xu; Chunlei Liu; Fuhua Yan; Xiaoping P Hu
Journal:  Cerebellum       Date:  2017-12       Impact factor: 3.847

Review 3.  Clinical quantitative susceptibility mapping (QSM): Biometal imaging and its emerging roles in patient care.

Authors:  Yi Wang; Pascal Spincemaille; Zhe Liu; Alexey Dimov; Kofi Deh; Jianqi Li; Yan Zhang; Yihao Yao; Kelly M Gillen; Alan H Wilman; Ajay Gupta; Apostolos John Tsiouris; Ilhami Kovanlikaya; Gloria Chia-Yi Chiang; Jonathan W Weinsaft; Lawrence Tanenbaum; Weiwei Chen; Wenzhen Zhu; Shixin Chang; Min Lou; Brian H Kopell; Michael G Kaplitt; David Devos; Toshinori Hirai; Xuemei Huang; Yukunori Korogi; Alexander Shtilbans; Geon-Ho Jahng; Daniel Pelletier; Susan A Gauthier; David Pitt; Ashley I Bush; Gary M Brittenham; Martin R Prince
Journal:  J Magn Reson Imaging       Date:  2017-03-10       Impact factor: 4.813

Review 4.  Analysis strategies for high-resolution UHF-fMRI data.

Authors:  Jonathan R Polimeni; Ville Renvall; Natalia Zaretskaya; Bruce Fischl
Journal:  Neuroimage       Date:  2017-04-29       Impact factor: 6.556

Review 5.  Conventional MRI findings in hereditary degenerative ataxias: a pictorial review.

Authors:  Sirio Cocozza; Giuseppe Pontillo; Giovanna De Michele; Martina Di Stasi; Elvira Guerriero; Teresa Perillo; Chiara Pane; Anna De Rosa; Lorenzo Ugga; Arturo Brunetti
Journal:  Neuroradiology       Date:  2021-03-17       Impact factor: 2.804

Review 6.  Recent advances in understanding dominant spinocerebellar ataxias from clinical and genetic points of view.

Authors:  Giulia Coarelli; Alexis Brice; Alexandra Durr
Journal:  F1000Res       Date:  2018-11-12

Review 7.  Neuroradiological Findings in the Spinocerebellar Ataxias.

Authors:  Alex Tiburtino Meira; Walter Oleschko Arruda; Sergio Eiji Ono; Arnolfo de Carvalho Neto; Salmo Raskin; Carlos Henrique F Camargo; Hélio Afonso G Teive
Journal:  Tremor Other Hyperkinet Mov (N Y)       Date:  2019-09-26

8.  Iron Content in Deep Gray Matter as a Function of Age Using Quantitative Susceptibility Mapping: A Multicenter Study.

Authors:  Yan Li; Sean K Sethi; Chunyan Zhang; Yanwei Miao; Kiran Kumar Yerramsetty; Vinay Kumar Palutla; Sara Gharabaghi; Chengyan Wang; Naying He; Jingliang Cheng; Fuhua Yan; Ewart Mark Haacke
Journal:  Front Neurosci       Date:  2021-01-06       Impact factor: 4.677

9.  Cerebellar morphometric and spectroscopic biomarkers for Machado-Joseph Disease.

Authors:  Catarina Oliveira Miranda; Rui Jorge Nobre; Miguel Castelo-Branco; Luís Pereira de Almeida; Vitor Hugo Paiva; João Valente Duarte; João Castelhano; Lorena Itatí Petrella; José Sereno; Magda Santana; Sónia Afonso; Cristina Januário
Journal:  Acta Neuropathol Commun       Date:  2022-03-19       Impact factor: 7.801

10.  A local multi-transmit coil combined with a high-density receive array for cerebellar fMRI at 7 T.

Authors:  Nikos Priovoulos; Thomas Roos; Özlem Ipek; Ettore F Meliado; Richard O Nkrumah; Dennis W J Klomp; Wietske van der Zwaag
Journal:  NMR Biomed       Date:  2021-07-06       Impact factor: 4.044

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