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Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study

Author
Casamitjana, A.; Petrone, P.; Molinuevo, J.; Gispert, J. D.; Vilaplana, V.
Type of activity
Journal article
Journal
IEEE Journal of Biomedical and Health Informatics
Date of publication
2019-08-01
DOI
10.1109/JBHI.2019.2932565
Project funding
Multimodal Signal Processing and Machine Learning on Graphs
Repository
http://hdl.handle.net/2117/175339 Open in new window
URL
https://ieeexplore.ieee.org/document/8784176 Open in new window
Abstract
Magnetic resonance imaging (MRI) provides high resolution brain morphological information and is used as a biomarker in neurodegenerative diseases. Population studies of brain morphology often seek to identify pathological structural changes related to different diagnostic categories (e.g: controls, mild cognitive impairment or dementia) which normally describe highly heterogeneous groups with a single categorical variable. Instead, multiple biomarkers are used as a proxy for pathology and are m...
Citation
Casamitjana, A. [et al.]. Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study. "IEEE Journal of Biomedical and Health Informatics", 1 Agost 2019.
Keywords
CSF biomarkers, Latent model, MRI, PLS, preclinical AD
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

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