Journal
NEUROBIOLOGY OF AGING
Volume 29, Issue 1, Pages 23-30Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.neurobiolaging.2006.09.013
Keywords
Alzheimer's disease; cortical thickness; diagnosis; magnetic resonance imaging
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Funding
- NATIONAL INSTITUTE OF MENTAL HEALTH [P01MH052176] Funding Source: NIH RePORTER
- NIMH NIH HHS [P01MH052176-11] Funding Source: Medline
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We investigated the potential of fully automated measurements of cortical thickness to reproduce the clinical diagnosis in Alzheimer's Disease (AD) using 19 patients and 17 healthy controls. Thickness maps were analyzed using three different discriminant techniques to separate patients from controls. All analyses were performed using leave-one-out cross-validation to avoid overtraining of the discriminants. The results show regionally variant patterns of discrimination ability, with over 90% accuracy obtained in the medial temporal lobes and other limbic structures. Multivariate discriminant analysis produced 100% accuracy with six different combinations, all involving the parahippocampal gyrus. We therefore propose automated measurements of cortical thickness as a tool to improve the clinical diagnosis of probable AD, as well as a research method to gain unique insight into the etiology of cortical pathology in the disease. (C) 2006 Published by Elsevier Inc.
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