Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease
Document typeConference lecture
PublisherSpringer International Publishing
Rights accessRestricted access - publisher's policy
In this work, we identify meaningful latent patterns in MR images for patients across the Alzheimer’s disease (AD) continuum. For this purpose, we apply Projection to Latent Structures (PLS) method using cerebrospinal fluid (CSF) biomarkers (t-tau, p-tau, amyloid-beta) and age as response variables and imaging features as explanatory variables. Freesurfer pipeline is used to compute MRI surface and volumetric features resulting in 68 cortical ROIs and 84 cortical and subcortical ROIs, respectively. The main assumption of this work is that there are two main underlying processes governing brain morphology along the AD continuum: brain aging and dementia. We use two different and orthogonal PLS models to describe each process: PLS-aging and PLS-dementia. To define PLS-aging model we use normal aging subjects and age as predictor and response variables, respectively, while for PLS-dementia we only use demented subjects and biomarkers as response variables.
CitationCasamitjana, A., Vilaplana, V., Petrone, P., Molinuevo, J., Gispert, J. Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease. A: International Conference on Medical Image Computing and Computer Assisted Intervention. "PRedictive Intelligence in MEdicine". Springer International Publishing, 2018, p. 60-67.
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