Document Detail


Diagnostic utility of novel MRI-based biomarkers for Alzheimer's disease: diffusion tensor imaging and deformation-based morphometry.
MedLine Citation:
PMID:  20164559     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We report evidence that multivariate analyses of deformation-based morphometry and diffusion tensor imaging (DTI) data can be used to discriminate between healthy participants and patients with Alzheimer's disease (AD) with comparable diagnostic accuracy. In contrast to other studies on MRI-based biomarkers which usually only focus on a single modality, we derived deformation maps from high-dimensional normalization of T1-weighted images, as well as mean diffusivity maps and fractional anisotropy maps from DTI of the same group of 21 patients with AD and 20 healthy controls. Using an automated multivariate analysis of the entire brain volume, widespread decreased white matter integrity and atrophy effects were found in cortical and subcortical regions of AD patients. Mean diffusivity maps and deformation maps were equally effective in discriminating between AD patients and controls (AUC =0.88 vs. AUC=0.85) while fractional anisotropy maps performed slightly inferior. Combining the maps from different modalities in a logistic regression model resulted in a classification accuracy of AUC=0.86 after leave-one-out cross-validation. It remains to be shown if this automated multivariate analysis of DTI-measures can improve early diagnosis of AD in predementia stages.
Authors:
Uwe Friese; Thomas Meindl; Sabine C Herpertz; Maximilian F Reiser; Harald Hampel; Stefan J Teipel
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of Alzheimer's disease : JAD     Volume:  20     ISSN:  1875-8908     ISO Abbreviation:  J. Alzheimers Dis.     Publication Date:  2010  
Date Detail:
Created Date:  2010-05-27     Completed Date:  2010-09-07     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9814863     Medline TA:  J Alzheimers Dis     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  477-90     Citation Subset:  IM    
Affiliation:
Department of Psychiatry, University of Rostock, Germany Institute of Psychology, University of Osnabrueck, D-49076 Osnabrueck, Germany. uwe.friese@uni-osnabrueck.de
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MeSH Terms
Descriptor/Qualifier:
Aged
Alzheimer Disease / diagnosis*
Biological Markers
Brain / pathology*
Brain Mapping*
Diffusion Magnetic Resonance Imaging*
Female
Humans
Magnetic Resonance Imaging*
Male
Middle Aged
Multivariate Analysis
Principal Component Analysis
ROC Curve
Chemical
Reg. No./Substance:
0/Biological Markers

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


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