Literature DB >> 18672073

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.

Riccardo Della Nave1, Andrea Ginestroni, Carlo Tessa, Elena Salvatore, Domenico De Grandis, Rosaria Plasmati, Fabrizio Salvi, Giuseppe De Michele, Maria Teresa Dotti, Silvia Piacentini, Mario Mascalchi.   

Abstract

BACKGROUND AND
PURPOSE: Neurodegeneration in spinocerebellar ataxia type 1(SCA1) and 2(SCA2) is associated with white matter(WM) damage. Voxel-Based Morphometry(VBM), histogram analysis of mean diffusivity(MD) and Tract-Based Spatial Statistics(TBSS) enable an in vivo quantitative analysis of WM volume and structure. We assessed with these 3 techniques the whole brain WM damage in SCA1 and SCA2. PATIENTS AND METHODS: Ten patients with SCA1, 10 patients with SCA2 and 10 controls underwent MRI with acquisition of T1-weighted and diffusion tensor images. The results were correlated with severity of clinical deficit.
RESULTS: VBM showed atrophy of the brainstem and cerebellar WM without significant differences between SCA1 and SCA2. Focal atrophy of the cerebral subcortical WM was also present. Histogram analysis revealed increased MD in the brainstem and cerebellum in patients with SCA1 and SCA2 which in SCA2 was more pronounced and combined with mild increase of the MD in the cerebral hemispheres in SCA2. In SCA1 and SCA2 TBSS revealed decreased fractional anisotropy(FA) in the inferior, middle and superior cerebellar peduncles, pontine transverse fibres, medial and lateral lemnisci, spinothalamic tracts, corticospinal tracts and corpus callosum. The extent of tract changes was greater in SCA2 patients who also showed decreased FA in the short intracerebellar tracts. In both diseases VBM, histogram and TBSS results correlated with clinical severity.
CONCLUSIONS: Brain WM damage featuring a pontocerebeellar atrophy is similar in SCA1 and SCA2 but more pronounced in SCA2. In both diseases it correlates with severity of the clinical deficit.

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Year:  2008        PMID: 18672073     DOI: 10.1016/j.neuroimage.2008.06.036

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  40 in total

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2.  The cerebellum does more than sensory prediction error-based learning in sensorimotor adaptation tasks.

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Review 3.  Spinocerebellar ataxias.

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Review 4.  The cerebellum, cerebellar disorders, and cerebellar research--two centuries of discoveries.

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5.  Combined analysis of grey matter voxel-based morphometry and white matter tract-based spatial statistics in late-life bipolar disorder.

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6.  Consensus paper: radiological biomarkers of cerebellar diseases.

Authors:  Leonardo Baldarçara; Stuart Currie; M Hadjivassiliou; Nigel Hoggard; Allison Jack; Andrea P Jackowski; Mario Mascalchi; Cecilia Parazzini; Kathrin Reetz; Andrea Righini; Jörg B Schulz; Alessandra Vella; Sara Jane Webb; Christophe Habas
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7.  Impact of cerebellar atrophy on cortical gray matter and cerebellar peduncles as assessed by voxel-based morphometry and high angular resolution diffusion imaging.

Authors:  Michael Dayan; G Olivito; M Molinari; Mara Cercignani; Marco Bozzali; M Leggio
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8.  Regional distribution and clinical correlates of white matter structural damage in Huntington disease: a tract-based spatial statistics study.

Authors:  R Della Nave; A Ginestroni; C Tessa; M Giannelli; S Piacentini; M Filippi; M Mascalchi
Journal:  AJNR Am J Neuroradiol       Date:  2010-05-20       Impact factor: 3.825

Review 9.  Spinocerebellar ataxias: prospects and challenges for therapy development.

Authors:  Tetsuo Ashizawa; Gülin Öz; Henry L Paulson
Journal:  Nat Rev Neurol       Date:  2018-10       Impact factor: 42.937

10.  Individual classification of mild cognitive impairment subtypes by support vector machine analysis of white matter DTI.

Authors:  S Haller; P Missonnier; F R Herrmann; C Rodriguez; M-P Deiber; D Nguyen; G Gold; K-O Lovblad; P Giannakopoulos
Journal:  AJNR Am J Neuroradiol       Date:  2012-09-13       Impact factor: 3.825

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