Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

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.

Original publication

DOI

10.1016/j.neurobiolaging.2006.09.013

Type

Journal article

Journal

Neurobiol Aging

Publication Date

01/2008

Volume

29

Pages

23 - 30

Keywords

Aged, Alzheimer Disease, Brain Mapping, Cerebral Cortex, Diagnosis, Differential, Electronic Data Processing, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged