Literature DB >> 15734363

Voxel-based analysis of multiple-system atrophy of cerebellar type: complementary results by combining voxel-based morphometry and voxel-based relaxometry.

Karsten Specht1, Martina Minnerop, Jonas Müller-Hübenthal, Thomas Klockgether.   

Abstract

Voxel-based relaxometry (VBR) is a novel morphometric method that analyses the relaxation rate R2 derived from multi-echo T2-weighted images on a voxel-by-voxel basis. We used VBR to study the brain morphology of 14 patients suffering from multiple-system atrophy of cerebellar type (MSA-C) and compared the results with those obtained by voxel-based morphometry (VBM) of T1-weighted images. VBR analysis revealed reduction of relaxation rate R2 in the cerebellum and brainstem reflecting infratentorial brain atrophy. The affected regions largely corresponded to those regions in which VBM showed reductions of grey and white matter. In addition, R2 was increased in the putamen, a region in which VBM did not show abnormalities. Our data show that the combination of VBR and VBM provided convergent and complimentary information about the brain morphology of MSA-C.

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Year:  2005        PMID: 15734363     DOI: 10.1016/j.neuroimage.2004.11.022

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


  20 in total

1.  Whole brain quantitative T2 MRI across multiple scanners with dual echo FSE: applications to AD, MCI, and normal aging.

Authors:  Corinna M Bauer; Hernán Jara; Ron Killiany
Journal:  Neuroimage       Date:  2010-05-02       Impact factor: 6.556

2.  Disentangling the prefrontal network for rule selection by means of a non-verbal variant of the Wisconsin Card Sorting Test.

Authors:  Karsten Specht; Chuh-Hyoun Lie; Nadim Jon Shah; Gereon R Fink
Journal:  Hum Brain Mapp       Date:  2009-05       Impact factor: 5.038

3.  In vivo voxel-based relaxometry in amyotrophic lateral sclerosis.

Authors:  Martina Minnerop; Karsten Specht; Jürgen Ruhlmann; Christoph Grothe; Ullrich Wüllner; Thomas Klockgether
Journal:  J Neurol       Date:  2009-02-16       Impact factor: 4.849

4.  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
Journal:  Cerebellum       Date:  2015-04       Impact factor: 3.847

5.  Callosal tissue loss in multiple system atrophy--a one-year follow-up study.

Authors:  Martina Minnerop; Eileen Lüders; Karsten Specht; Jürgen Ruhlmann; Nicole Schimke; Paul M Thompson; Yi Y Chou; Arthur W Toga; Michael Abele; Ullrich Wüllner; Thomas Klockgether
Journal:  Mov Disord       Date:  2010-11-15       Impact factor: 10.338

Review 6.  Cognitive impairment in multiple system atrophy: a position statement by the Neuropsychology Task Force of the MDS Multiple System Atrophy (MODIMSA) study group.

Authors:  Iva Stankovic; Florian Krismer; Aleksandar Jesic; Angelo Antonini; Thomas Benke; Richard G Brown; David J Burn; Janice L Holton; Horacio Kaufmann; Vladimir S Kostic; Helen Ling; Wassilios G Meissner; Werner Poewe; Marija Semnic; Klaus Seppi; Atsushi Takeda; Daniel Weintraub; Gregor K Wenning
Journal:  Mov Disord       Date:  2014-04-18       Impact factor: 10.338

7.  Use of diffusion tensor imaging to identify similarities and differences between cerebellar and Parkinsonism forms of multiple system atrophy.

Authors:  Po-Shan Wang; Hsiu-Mei Wu; Ching-Po Lin; Bing-Wen Soong
Journal:  Neuroradiology       Date:  2010-08-25       Impact factor: 2.804

8.  Abnormalities of white and grey matter in early multiple system atrophy: comparison of parkinsonian and cerebellar variants.

Authors:  Santosh Kumar Dash; Albert Stezin; Tejashree Takalkar; Lija George; Nitish L Kamble; M Netravathi; Ravi Yadav; Keshav J Kumar; Madhura Ingalhalikar; Jitender Saini; Pramod Kumar Pal
Journal:  Eur Radiol       Date:  2018-07-04       Impact factor: 5.315

9.  Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: application to normal elderly and Alzheimer's disease participants.

Authors:  Kenichi Oishi; Andreia Faria; Hangyi Jiang; Xin Li; Kazi Akhter; Jiangyang Zhang; John T Hsu; Michael I Miller; Peter C M van Zijl; Marilyn Albert; Constantine G Lyketsos; Roger Woods; Arthur W Toga; G Bruce Pike; Pedro Rosa-Neto; Alan Evans; John Mazziotta; Susumu Mori
Journal:  Neuroimage       Date:  2009-06       Impact factor: 6.556

10.  Grey and white matter loss along cerebral midline structures in myotonic dystrophy type 2.

Authors:  Martina Minnerop; Eileen Luders; Karsten Specht; Jürgen Ruhlmann; Christiane Schneider-Gold; Rolf Schröder; Paul M Thompson; Arthur W Toga; Thomas Klockgether; Cornelia Kornblum
Journal:  J Neurol       Date:  2008-09-03       Impact factor: 4.849

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