English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Age correction in dementia – Matching to a healthy brain

Dukart, J., Schroeter, M. L., & Mueller, K. (2011). Age correction in dementia – Matching to a healthy brain. PLoS ONE, 6(7): e22193. doi:10.1371/journal.pone.0022193.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0012-11F1-B Version Permalink: http://hdl.handle.net/21.11116/0000-0002-A5E6-0
Genre: Journal Article

Files

show Files
hide Files
:
Dukart_AgeCorrection.pdf (Publisher version), 516KB
Name:
Dukart_AgeCorrection.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
2011
Copyright Info:
© 2011 Dukart et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Locators

show

Creators

show
hide
 Creators:
Dukart, Jürgen1, 2, Author              
Schroeter, Matthias L.2, 3, 4, Author              
Mueller, Karsten5, Author              
Affiliations:
1Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_persistent22              
2LIFE - Leipzig Research Center for Civilization Diseases, University of Leipzig, Germany, ou_persistent22              
3Clinic of Cognitive Neurology, University Hospital Leipzig, Germany, ou_persistent22              
4Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
5Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634558              

Content

show
hide
Free keywords: -
 Abstract: In recent research, many univariate and multivariate approaches have been proposed to improve automatic classification of various dementia syndromes using imaging data. Some of these methods do not provide the possibility to integrate possible confounding variables like age into the statistical evaluation. A similar problem sometimes exists in clinical studies, as it is not always possible to match different clinical groups to each other in all confounding variables, like for example, early-onset (age<65 years) and late-onset (age≥65) patients with Alzheimer's disease (AD). Here, we propose a simple method to control for possible effects of confounding variables such as age prior to statistical evaluation of magnetic resonance imaging (MRI) data using support vector machine classification (SVM) or voxel-based morphometry (VBM). We compare SVM results for the classification of 80 AD patients and 79 healthy control subjects based on MRI data with and without prior age correction. Additionally, we compare VBM results for the comparison of three different groups of AD patients differing in age with the same group of control subjects obtained without including age as covariate, with age as covariate or with prior age correction using the proposed method. SVM classification using the proposed method resulted in higher between-group classification accuracy compared to uncorrected data. Further, applying the proposed age correction substantially improved univariate detection of disease-related grey matter atrophy using VBM in AD patients differing in age from control subjects. The results suggest that the approach proposed in this work is generally suited to control for confounding variables such as age in SVM or VBM analyses. Accordingly, the approach might improve and extend the application of these methods in clinical neurosciences.

Details

show
hide
Language(s):
 Dates: 2011-06-172011-07-29
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: PMC: 3146486
PMID: 21829449
Other: publisher-idPONE-D-11-03484
DOI: 10.1371/journal.pone.0022193
URI: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3146486&tool=pmcentrez&rendertype=abstract
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: PLoS ONE
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: San Francisco, USA : Public Library of Science
Pages: - Volume / Issue: 6 (7) Sequence Number: e22193 Start / End Page: - Identifier: Other: PLoS One
Other: plos
Other: plosone
ISSN: 1932-6203