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Verification of predicted robustness and accuracy of multivariate analysis

Markiewicz, P J; Matthews, J C; Declerck, J; Herholz, K

Neuroimage. 2011;56(3):1382-5.

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Abstract

The assessment of accuracy and robustness of multivariate analysis of FDG-PET brain images as presented in [Markiewicz, P.J., Matthews, J.C., Declerck, J., Herholz, K., 2009. Robustness of multivariate image analysis assessed by resampling techniques and applied to FDG-PET scans of patients with Alzheimer's disease. Neuroimage 46, 472-485.] using a homogeneous sample (from one centre) of small size is here verified using a heterogeneous sample (from multiple centres) of much larger size. Originally the analysis, which included principal component analysis (PCA) and Fisher discriminant analysis (FDA), was established using a sample of 42 subjects (19 Normal Controls (NCs) and 23 Alzheimer's disease (AD) patients) and here the analysis is verified using an independent sample of 166 subjects (86 NCs and 80 ADs) obtained from the ADNI database. It is shown that bootstrap resampling combined with the metric of the largest principal angle between PCA subspaces as well as the deliberate clinical misdiagnosis simulation can predict robustness of the multivariate analysis when used with new datasets. Cross-validation (CV) and the .632 bootstrap overestimated the predictive accuracy encouraging less robust solutions. Also, it is shown that the type of PET scanner and image reconstruction method has an impact on such analysis and affects the accuracy of the verification sample.

Bibliographic metadata

Type of resource:
Content type:
Published date:
Language:
eng
Journal title:
Volume:
56
Issue:
3
Start page:
1382
End page:
5
Total:
-1376
Pagination:
1382-5
Digital Object Identifier:
S1053-8119(11)00192-3 [pii] 10.1016/j.neuroimage.2011.02.036
ISI Accession Number:
21338696
Related website(s):
  • Related website http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=21338696
General notes:
  • Markiewicz, P J Matthews, J C Declerck, J Herholz, K Alzheimer's Disease Neuroimaging Initiative (ADNI) K01 AG030514/AG/NIA NIH HHS/United States P30 AG010129/AG/NIA NIH HHS/United States U01 AG024904/AG/NIA NIH HHS/United States Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S. United States NeuroImage Neuroimage. 2011 Jun 1;56(3):1382-5. Epub 2011 Feb 19.
Access state:
Active

Institutional metadata

University researcher(s):

Record metadata

Manchester eScholar ID:
uk-ac-man-scw:128099
Created by:
Herholz, Karl
Created:
27th July, 2011, 12:55:29
Last modified by:
Herholz, Karl
Last modified:
27th July, 2011, 12:55:29

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