Literature DB >> 15076769

Global cerebral atrophy in early stages of Huntington's disease: quantitative MRI study.

Jan Kassubek1, G Bernhard Landwehrmeyer, Daniel Ecker, Freimut D Juengling, Rainer Muche, Sabine Schuller, Adolf Weindl, Alexander Peinemann.   

Abstract

Global brain atrophy was determined in 70 patients suffering from Huntington's disease (HD) and 70 healthy controls, using brain parenchymal fractions calculated from 3D MRI data in a standardized procedure. In HD patients, brain parenchymal fractions were significantly reduced compared to controls in all age groups; the physiological decline with age was less pronounced in HD. However, brain parenchymal fraction values did not allow the prediction of clinical impairment (as assessed by clinical scores). Global brain parenchyma reduction seems to be an early or even constitutional feature of HD, but clinical symptoms appear to reflect regional rather than global atrophy. Overall, MRI-based brain volume quantification correlated with clinical scores clarifies the functional impact of morphological brain alterations.

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Year:  2004        PMID: 15076769     DOI: 10.1097/00001756-200402090-00030

Source DB:  PubMed          Journal:  Neuroreport        ISSN: 0959-4965            Impact factor:   1.837


  25 in total

Review 1.  Techniques for brain imaging in vivo.

Authors:  Monica Garcia-Alloza; Brian J Bacskai
Journal:  Neuromolecular Med       Date:  2004       Impact factor: 3.843

2.  Cerebral cortex and the clinical expression of Huntington's disease: complexity and heterogeneity.

Authors:  H Diana Rosas; David H Salat; Stephanie Y Lee; Alexandra K Zaleta; Vasanth Pappu; Bruce Fischl; Doug Greve; Nathanael Hevelone; Steven M Hersch
Journal:  Brain       Date:  2008-03-12       Impact factor: 13.501

Review 3.  Complexity and heterogeneity: what drives the ever-changing brain in Huntington's disease?

Authors:  H Diana Rosas; David H Salat; Stephanie Y Lee; Alexandra K Zaleta; Nathanael Hevelone; Steven M Hersch
Journal:  Ann N Y Acad Sci       Date:  2008-12       Impact factor: 5.691

4.  Relationship between CAG repeat length and brain volume in premanifest and early Huntington's disease.

Authors:  Susie M D Henley; Edward J Wild; Nicola Z Hobbs; Rachael I Scahill; Gerard R Ridgway; David G Macmanus; Roger A Barker; Nick C Fox; Sarah J Tabrizi
Journal:  J Neurol       Date:  2009-03-05       Impact factor: 4.849

5.  Striatal and white matter predictors of estimated diagnosis for Huntington disease.

Authors:  Jane S Paulsen; Peggy C Nopoulos; Elizabeth Aylward; Christopher A Ross; Hans Johnson; Vincent A Magnotta; Andrew Juhl; Ronald K Pierson; James Mills; Douglas Langbehn; Martha Nance
Journal:  Brain Res Bull       Date:  2010-04-10       Impact factor: 4.077

6.  Voxel-based morphometry indicates relative preservation of the limbic prefrontal cortex in early Huntington disease.

Authors:  M Mühlau; A Weindl; A M Wohlschläger; C Gaser; M Städtler; M Valet; C Zimmer; J Kassubek; A Peinemann
Journal:  J Neural Transm (Vienna)       Date:  2006-10-06       Impact factor: 3.575

7.  EEG low-resolution brain electromagnetic tomography (LORETA) in Huntington's disease.

Authors:  Annamaria Painold; Peter Anderer; Anna K Holl; Martin Letmaier; Gerda M Saletu-Zyhlarz; Bernd Saletu; Raphael M Bonelli
Journal:  J Neurol       Date:  2010-12-12       Impact factor: 4.849

Review 8.  Genetics and neuropathology of Huntington's disease.

Authors:  Anton Reiner; Ioannis Dragatsis; Paula Dietrich
Journal:  Int Rev Neurobiol       Date:  2011       Impact factor: 3.230

9.  Loss of corticostriatal and thalamostriatal synaptic terminals precedes striatal projection neuron pathology in heterozygous Q140 Huntington's disease mice.

Authors:  Y P Deng; T Wong; C Bricker-Anthony; B Deng; A Reiner
Journal:  Neurobiol Dis       Date:  2013-08-19       Impact factor: 5.996

Review 10.  Magnetic resonance imaging of Huntington's disease: preparing for clinical trials.

Authors:  S Klöppel; S M Henley; N Z Hobbs; R C Wolf; J Kassubek; S J Tabrizi; R S J Frackowiak
Journal:  Neuroscience       Date:  2009-01-29       Impact factor: 3.590

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