Significance of Normalization on Anatomical MRI Measures in Predicting Alzheimer’s Disease
Joint Authors
Cabrerizo, Mercedes
Zhou, Qi
Barker, Warren
Duara, Ranjan
Goryawala, Mohammed
Adjouadi, Malek
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-06
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This study establishes a new approach for combining neuroimaging and neuropsychological measures for an optimal decisional space to classify subjects with Alzheimer’s disease (AD).
This approach relies on a multivariate feature selection method with different MRI normalization techniques.
Subcortical volume, cortical thickness, and surface area measures are obtained using MRIs from 189 participants (129 normal controls and 60 AD patients).
Statistically significant variables were selected for each combination model to construct a multidimensional space for classification.
Different normalization approaches were explored to gauge the effect on classification performance using a support vector machine classifier.
Results indicate that the Mini-mental state examination (MMSE) measure is most discriminative among single-measure models, while subcortical volume combined with MMSE is the most effective multivariate model for AD classification.
The study demonstrates that subcortical volumes need not be normalized, whereas cortical thickness should be normalized either by intracranial volume or mean thickness, and surface area is a weak indicator of AD with and without normalization.
On the significant brain regions, a nearly perfect symmetry is observed for subcortical volumes and cortical thickness, and a significant reduction in thickness is particularly seen in the temporal lobe, which is associated with brain deficits characterizing AD.
American Psychological Association (APA)
Zhou, Qi& Goryawala, Mohammed& Cabrerizo, Mercedes& Barker, Warren& Duara, Ranjan& Adjouadi, Malek. 2014. Significance of Normalization on Anatomical MRI Measures in Predicting Alzheimer’s Disease. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1050060
Modern Language Association (MLA)
Zhou, Qi…[et al.]. Significance of Normalization on Anatomical MRI Measures in Predicting Alzheimer’s Disease. The Scientific World Journal No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1050060
American Medical Association (AMA)
Zhou, Qi& Goryawala, Mohammed& Cabrerizo, Mercedes& Barker, Warren& Duara, Ranjan& Adjouadi, Malek. Significance of Normalization on Anatomical MRI Measures in Predicting Alzheimer’s Disease. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1050060
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050060