Literature DB >> 16476946

Pontine and cerebellar atrophy correlate with clinical disability in SCA2.

S H Ying1, S I Choi, S L Perlman, R W Baloh, D S Zee, A W Toga.   

Abstract

Spinocerebellar ataxia type 2 (SCA2) has protean manifestations, and a clinical marker of progression is needed. Although MRI is a promising tool, it is unclear whether the degree of atrophy shown on MRI is correlated with clinical dysfunction. Here the authors used high-resolution volumetric MRI analysis to show that cerebellar and pontine volumes specifically and closely correlate with functional staging scores.

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Year:  2006        PMID： 16476946     DOI： 10.1212/01.wnl.0000196464.47508.00

Source DB:  PubMed          Journal:  Neurology        ISSN： 0028-3878            Impact factor:   9.910


  17 in total

1.  Automated segmentation of the cerebellar lobules using boundary specific classification and evolution.

Authors:  John A Bogovic; Pierre-Louis Bazin; Sarah H Ying; Jerry L Prince
Journal:  Inf Process Med Imaging       Date:  2013

2.  Magnetic resonance imaging in spinocerebellar ataxias.

Authors:  Susanne Döhlinger; Till-Karsten Hauser; Johannes Borkert; Andreas R Luft; Jörg B Schulz
Journal:  Cerebellum       Date:  2008       Impact factor: 3.847

3.  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
Journal:  Funct Neurol       Date:  2016 Oct/Dec

4.  Approaching expert results using a hierarchical cerebellum parcellation protocol for multiple inexpert human raters.

Authors:  John A Bogovic; Bruno Jedynak; Rachel Rigg; Annie Du; Bennett A Landman; Jerry L Prince; Sarah H Ying
Journal:  Neuroimage       Date:  2012-09-04       Impact factor: 6.556

5.  Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images.

Authors:  Aaron Carass; Jennifer L Cuzzocreo; Shuo Han; Carlos R Hernandez-Castillo; Paul E Rasser; Melanie Ganz; Vincent Beliveau; Jose Dolz; Ismail Ben Ayed; Christian Desrosiers; Benjamin Thyreau; José E Romero; Pierrick Coupé; José V Manjón; Vladimir S Fonov; D Louis Collins; Sarah H Ying; Chiadi U Onyike; Deana Crocetti; Bennett A Landman; Stewart H Mostofsky; Paul M Thompson; Jerry L Prince
Journal:  Neuroimage       Date:  2018-08-09       Impact factor: 6.556

Review 6.  Magnetic resonance imaging biomarkers in patients with progressive ataxia: current status and future direction.

Authors:  Stuart Currie; Marios Hadjivassiliou; Ian J Craven; Iain D Wilkinson; Paul D Griffiths; Nigel Hoggard
Journal:  Cerebellum       Date:  2013-04       Impact factor: 3.847

7.  A toolbox to visually explore cerebellar shape changes in cerebellar disease and dysfunction.

Authors:  S Mazdak Abulnaga; Zhen Yang; Aaron Carass; Kalyani Kansal; Bruno M Jedynak; Chiadi U Onyike; Sarah H Ying; Jerry L Prince
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03-24

8.  MRI shows a region-specific pattern of atrophy in spinocerebellar ataxia type 2.

Authors:  Brian C Jung; Soo I Choi; Annie X Du; Jennifer L Cuzzocreo; Howard S Ying; Bennett A Landman; Susan L Perlman; Robert W Baloh; David S Zee; Arthur W Toga; Jerry L Prince; Sarah H Ying
Journal:  Cerebellum       Date:  2012-03       Impact factor: 3.847

9.  Principal component analysis of cerebellar shape on MRI separates SCA types 2 and 6 into two archetypal modes of degeneration.

Authors:  Brian C Jung; Soo I Choi; Annie X Du; Jennifer L Cuzzocreo; Zhuo Z Geng; Howard S Ying; Susan L Perlman; Arthur W Toga; Jerry L Prince; Sarah H Ying
Journal:  Cerebellum       Date:  2012-12       Impact factor: 3.847

10.  Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease.

Authors:  Zhen Yang; Chuyang Ye; John A Bogovic; Aaron Carass; Bruno M Jedynak; Sarah H Ying; Jerry L Prince
Journal:  Neuroimage       Date:  2015-09-25       Impact factor: 6.556
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