Improved classification of Alzheimer's disease data via removal of nuisance variability.

PloS One
Juha KoikkalainenAlzheimer's Disease Neuroimaging Initiative

Abstract

Diagnosis of Alzheimer's disease is based on the results of neuropsychological tests and available supporting biomarkers such as the results of imaging studies. The results of the tests and the values of biomarkers are dependent on the nuisance features, such as age and gender. In order to improve diagnostic power, the effects of the nuisance features have to be removed from the data. In this paper, four types of interactions between classification features and nuisance features were identified. Three methods were tested to remove these interactions from the classification data. In stratified analysis, a homogeneous subgroup was generated from a training set. Data correction method utilized linear regression model to remove the effects of nuisance features from data. The third method was a combination of these two methods. The methods were tested using all the baseline data from the Alzheimer's Disease Neuroimaging Initiative database in two classification studies: classifying control subjects from Alzheimer's disease patients and discriminating stable and progressive mild cognitive impairment subjects. The results show that both stratified analysis and data correction are able to statistically significantly improve the classif...Continue Reading

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Citations

Oct 7, 2015·Brain Topography·Farshad FalahatiUNKNOWN AddNeuroMed consortium and the Alzheimer’s Disease Neuroimaging Initiative
Mar 5, 2016·Brain : a Journal of Neurology·Lorna HarperJonathan M Schott
Apr 23, 2016·NeuroImage. Clinical·Juha KoikkalainenJyrki Lötjönen
Apr 5, 2014·Human Brain Mapping·Esther E BronUNKNOWN Alzheimer's Disease Neuroimaging Initiative
Feb 6, 2015·NeuroImage·Esther E BronUNKNOWN Alzheimer's Disease Neuroimaging Initiative
Oct 20, 2012·PloS One·Dominic HollandUNKNOWN Alzheimer’s Disease Neuroimaging Initiative
Apr 3, 2018·Dementia and Geriatric Cognitive Disorders Extra·Antti CajanusAnne M Remes
Feb 3, 2020·Journal of Alzheimer's Disease : JAD·Olli JääskeläinenSanna-Kaisa Herukka
Jun 21, 2018·Frontiers in Aging Neuroscience·Antti TolonenJyrki Lötjönen
Apr 5, 2018·Journal of Huntington's Disease·Edina Silajdžić, Maria Björkqvist
Feb 11, 2020·Frontiers in Aging Neuroscience·Lotte G M CremersMeike W Vernooij
Mar 26, 2019·Journal of Alzheimer's Disease : JAD·Hilkka LiedesUNKNOWN the Australian Imaging Biomarkers and Lifestyle Flagship Study of Ageing
Oct 20, 2020·Medical Image Analysis·Kilian HettUNKNOWN Alzheimer’s Disease Neuroimaging Initiative
Sep 29, 2021·Human Brain Mapping·Binyin LiUNKNOWN Alzheimer's Disease Neuroimaging Initiative

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Software Mentioned

ADNI
Matlab
ANCOVA

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