Document Detail


Automated cortical thickness measurements from MRI can accurately separate Alzheimer's patients from normal elderly controls.
MedLine Citation:
PMID:  17097767     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Jason P Lerch; Jens Pruessner; Alex P Zijdenbos; D Louis Collins; Stefan J Teipel; Harald Hampel; Alan C Evans
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't     Date:  2006-11-13
Journal Detail:
Title:  Neurobiology of aging     Volume:  29     ISSN:  1558-1497     ISO Abbreviation:  Neurobiol. Aging     Publication Date:  2008 Jan 
Date Detail:
Created Date:  2007-11-21     Completed Date:  2008-01-31     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8100437     Medline TA:  Neurobiol Aging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  23-30     Citation Subset:  IM    
Affiliation:
McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, Quebec, Canada.
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MeSH Terms
Descriptor/Qualifier:
Aged
Alzheimer Disease / diagnosis*
Automatic Data Processing / methods*
Brain Mapping
Cerebral Cortex / pathology*
Diagnosis, Differential
Female
Humans
Magnetic Resonance Imaging / methods
Male
Middle Aged
Grant Support
ID/Acronym/Agency:
P01MH052176-11/MH/NIMH NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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