JANOUŠOVÁ, Eva, Maria VOUNOU, Robin WOLZ, Katherine R GRAY, Daniel RUECKERT, Giovanni MONTANA and ADNI. Biomarker discovery for sparse classification of brain images in Alzheimer's disease. Annals of the BMVA. Manchester, 2012, vol. 2012, No 2, p. 1-11.
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Basic information
Original name Biomarker discovery for sparse classification of brain images in Alzheimer's disease
Authors JANOUŠOVÁ, Eva, Maria VOUNOU, Robin WOLZ, Katherine R GRAY, Daniel RUECKERT, Giovanni MONTANA and ADNI.
Edition Annals of the BMVA, Manchester, 2012.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30000 3. Medical and Health Sciences
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Organization unit Institute of Biostatistics and Analyses
Tags Reviewed
Changed by Changed by: RNDr. Eva Koriťáková, Ph.D., učo 184380. Changed: 22/1/2013 08:54.
Abstract
We describe a computationally efficient biomarker discovery approach, based on a combination of penalised regression and a resampling method, for the identification of localised brain regions that are highly discriminative between two groups of brain images. The proposed procedure has been applied for classification of brain images in subjects with Alzheimer’s disease and mild cognitive impairment using baseline FDG-PET data and both baseline and longitudinal MRI data. Results of nine independent classification experiments show that the selected biomarkers are consistent with well-known patterns of atrophy, hypometabolism and progression of Alzheimer’s disease that have been reported in previous studies. The overall classification performance, which has been assessed for statistical significance, is comparable to related state-of-the-art findings.
Links
GD102/09/H083, research and development projectName: Informační technologie v biomedicínském inženýrství
Investor: Czech Science Foundation
NS10347, research and development projectName: Moderní metody rozpoznávání pro analýzu obrazových dat v neuropsychiatrickém výzkumu
Investor: Ministry of Health of the CR
NS9893, research and development projectName: Predikce průběhu iniciálních fází schizofrenie pomocí morfologie mozku
Investor: Ministry of Health of the CR
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