Literature DB >> 16839779

Shape differences of the brain ventricles in Alzheimer's disease.

Luca Ferrarini1, Walter M Palm, Hans Olofsen, Mark A van Buchem, Johan H C Reiber, Faiza Admiraal-Behloul.   

Abstract

The brain ventricles are surrounded by gray and white matter structures that are often affected in dementia in general and Alzheimer's disease (AD) in particular. Any change of volume or shape occurring in these structures must affect the volume and shape of the ventricles. It is well known that ventricular volume is significantly higher in AD patients compared to age-matched healthy subjects. However, the large overlap between the two volume distributions makes the measurement unsuitable as a biomarker of the disease. The purpose of this work was to assess whether local shape differences of the ventricles can be detected when comparing AD patients and controls. In this work, we captured the ventricle's shape and shape variations of 29 AD subjects and 25 age-matched controls, using a fully automatic shape modeling technique. By applying permutation tests on every single node of a mesh representation of the shapes, we identified local areas with significant differences. About 22% of an average surface of the ventricles presented significant difference (P < 0.05) ( approximately 14% of the left against approximately 7% of the right side). We found out that in patients with Alzheimer disease, not only the lateral horns were significantly affected, but also the areas adjacent to the anterior corpus callosum, the splenium of the corpus callosum, the amygdala, the thalamus, the tale of the caudate nuclei (especially the left one), and the head of the left caudate nucleus.

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Year:  2006        PMID: 16839779     DOI: 10.1016/j.neuroimage.2006.05.048

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


  37 in total

1.  Automated ventricular mapping with multi-atlas fluid image alignment reveals genetic effects in Alzheimer's disease.

Authors:  Yi-Yu Chou; Natasha Leporé; Greig I de Zubicaray; Owen T Carmichael; James T Becker; Arthur W Toga; Paul M Thompson
Journal:  Neuroimage       Date:  2007-12-08       Impact factor: 6.556

2.  Development of a parametric finite element model of the proximal femur using statistical shape and density modelling.

Authors:  Daniel P Nicolella; Todd L Bredbenner
Journal:  Comput Methods Biomech Biomed Engin       Date:  2011-06-01       Impact factor: 1.763

3.  Mapping Genetic Influences on Brain Shape using Multi-Atlas Fluid Image Alignment.

Authors:  Meena Mani; Yi-Yu Chou; Natasha Leporé; Andrea Klunder; Jan de Leeuw; Katie McMahon; Margie Wright; Arthur Toga; Paul Thompson
Journal:  Proc Front Converg Biosci Inf Technol (2007)       Date:  2008-05-16

4.  VENTRICULAR MAPS IN 804 SUBJECTS CORRELATE WITH COGNITIVE DECLINE, CSF PATHOLOGY, AND IMMINENT ALZHEIMER'S DISEASE.

Authors:  Yi-Yu Chou; Natasha Leporé; Sarah K Madsen; Priya Saharan; Xue Hua; Clifford R Jack; Leslie M Shaw; John Q Trojanowski; Michael W Weiner; Arthur W Toga; Paul M Thompson
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2010-06-21

5.  Detecting corpus callosum abnormalities in autism based on anatomical landmarks.

Authors:  Qing He; Ye Duan; Kevin Karsch; Judith Miles
Journal:  Psychiatry Res       Date:  2010-08-30       Impact factor: 3.222

6.  Mapping correlations between ventricular expansion and CSF amyloid and tau biomarkers in 240 subjects with Alzheimer's disease, mild cognitive impairment and elderly controls.

Authors:  Yi-Yu Chou; Natasha Leporé; Christina Avedissian; Sarah K Madsen; Neelroop Parikshak; Xue Hua; Leslie M Shaw; John Q Trojanowski; Michael W Weiner; Arthur W Toga; Paul M Thompson
Journal:  Neuroimage       Date:  2009-02-21       Impact factor: 6.556

7.  Ventricular enlargement as a possible measure of Alzheimer's disease progression validated using the Alzheimer's disease neuroimaging initiative database.

Authors:  Sean M Nestor; Raul Rupsingh; Michael Borrie; Matthew Smith; Vittorio Accomazzi; Jennie L Wells; Jennifer Fogarty; Robert Bartha
Journal:  Brain       Date:  2008-07-11       Impact factor: 13.501

8.  Multivariate tensor-based morphometry on surfaces: application to mapping ventricular abnormalities in HIV/AIDS.

Authors:  Yalin Wang; Jie Zhang; Boris Gutman; Tony F Chan; James T Becker; Howard J Aizenstein; Oscar L Lopez; Robert J Tamburo; Arthur W Toga; Paul M Thompson
Journal:  Neuroimage       Date:  2009-11-06       Impact factor: 6.556

9.  Regional shape abnormalities in mild cognitive impairment and Alzheimer's disease.

Authors:  Anqi Qiu; Christine Fennema-Notestine; Anders M Dale; Michael I Miller
Journal:  Neuroimage       Date:  2009-04-15       Impact factor: 6.556

10.  Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease.

Authors:  Claudia Plant; Stefan J Teipel; Annahita Oswald; Christian Böhm; Thomas Meindl; Janaina Mourao-Miranda; Arun W Bokde; Harald Hampel; Michael Ewers
Journal:  Neuroimage       Date:  2009-12-02       Impact factor: 6.556

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