Predicting Alzheimer’s conversion in mild cognitive impairment patients using longitudinal neuroimaging and clinical markers
Patients with mild cognitive impairment (MCI) have a high risk for conversion to Alzheimer’s disease (AD). Selecting a set of relevant markers from multimodal data to predict conversion from MCI to AD has become a challenging task.
The aim of this project is to quantify the impact of longitudinal predictive models with single- or multisource data for predicting MCI-to-AD conversion and identifying a very small subset of features that are highly predictive of conversion. We developed predictive models of MCI-to-AD progression that combine magnetic resonance imaging (MRI)-based markers (cortical thickness and volume of subcortical structures) with neuropsychological tests. A set of longitudinal features potentially discriminating between
MCI subjects who convert to AD and those who remain stable over a period of 3 years was obtained. The proposed approach was developed, trained and evaluated using the
Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset
The aim of this project is to quantify the impact of longitudinal predictive models with single- or multisource data for predicting MCI-to-AD conversion and identifying a very small subset of features that are highly predictive of conversion. We developed predictive models of MCI-to-AD progression that combine magnetic resonance imaging (MRI)-based markers (cortical thickness and volume of subcortical structures) with neuropsychological tests. A set of longitudinal features potentially discriminating between
MCI subjects who convert to AD and those who remain stable over a period of 3 years was obtained. The proposed approach was developed, trained and evaluated using the
Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset
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Recent Activity - News
Demo source matlab about predictive models from MCI to AD posted by Carlos Platero on Nov 7, 2018
Recent Activity - Files
predict_mci2ad: Demo source matlab 2017a release
demo_predictiveModels_MCItoAD.zip posted by Carlos Platero on Nov 7, 2018