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Title:

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

Document type:
Journal Article; Research Support, Non-U.S. Gov't
Author(s):
Plant, C; Teipel, SJ; Oswald, A; Böhm, C; Meindl, T; Mourao-Miranda, J; Bokde, AW; Hampel, H; Ewers, M
Abstract:
Subjects with mild cognitive impairment (MCI) have an increased risk to develop Alzheimer's disease (AD). Voxel-based MRI studies have demonstrated that widely distributed cortical and subcortical brain areas show atrophic changes in MCI, preceding the onset of AD-type dementia. Here we developed a novel data mining framework in combination with three different classifiers including support vector machine (SVM), Bayes statistics, and voting feature intervals (VFI) to derive a quantitative index...     »
Journal title abbreviation:
Neuroimage
Year:
2010
Journal volume:
50
Journal issue:
1
Pages contribution:
162-74
Language:
eng
Fulltext / DOI:
doi:10.1016/j.neuroimage.2009.11.046
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/19961938
Print-ISSN:
1053-8119
TUM Institution:
Fachgebiet Neuroradiologie (Prof. Zimmer)
 BibTeX