Projection to Latent Spaces Disentangles Pathological Effects on Brain Morphology in the Asymptomatic Phase of Alzheimers Disease

Autor: Adrià Casamitjana, Paula Petrone, José Luis Molinuevo, Juan Domingo Gispert, Verónica Vilaplana
Přispěvatelé: Universitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
Jazyk: angličtina
Rok vydání: 2020
Předmět:
brain morphology
Disease
PLS
Pre-clinical AD
01 natural sciences
Asymptomatic
lcsh:RC346-429
010104 statistics & probability
03 medical and health sciences
Neurologia
0302 clinical medicine
Cerebrospinal fluid
Ciències de la salut::Medicina::Neurologia [Àrees temàtiques de la UPC]
Medicine
Dementia
0101 mathematics
Imatgeria per al diagnòstic -- Tècniques digitals
Pathological
Ciències de la salut::Medicina::Diagnòstic per la imatge [Àrees temàtiques de la UPC]
CSF biomarkers
lcsh:Neurology. Diseases of the nervous system
Original Research
medicine.diagnostic_test
business.industry
Brain morphometry
Confounding
latent model
Magnetic resonance imaging
Alzheimer's disease
medicine.disease
Neurology
Diagnostic imaging -- Digital techniques
pre-clinical AD
Neurology (clinical)
medicine.symptom
business
Neuroscience
Alzheimer’s disease
030217 neurology & neurosurgery
Brain morphology
Latent model
Zdroj: Frontiers in Neurology
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Frontiers in Neurology, Vol 11 (2020)
ISSN: 1664-2295
DOI: 10.3389/fneur.2020.00648
Popis: Alzheimer's disease (AD) continuum is defined as a cascade of several neuropathological processes that can be measured using biomarkers, such as cerebrospinal fluid (CSF) levels of Aß, p-tau, and t-tau. In parallel, brain anatomy can be characterized through imaging techniques, such as magnetic resonance imaging (MRI). In this work we relate both sets of measurements and seek associations between biomarkers and the brain structure that can be indicative of AD progression. The goal is to uncover underlying multivariate effects of AD pathology on regional brain morphological information. For this purpose, we used the projection to latent structures (PLS) method. Using PLS, we found a low dimensional latent space that best describes the covariance between both sets of measurements on the same subjects. Possible confounder effects (age and sex) on brain morphology are included in the model and regressed out using an orthogonal PLS model. We looked for statistically significant correlations between brain morphology and CSF biomarkers that explain part of the volumetric variance at each region-of-interest (ROI). Furthermore, we used a clustering technique to discover a small set of CSF-related patterns describing the AD continuum. We applied this technique to the study of subjects in the whole AD continuum, from the pre-clinical asymptomatic stages all the way through to the symptomatic groups. Subsequent analyses involved splitting the course of the disease into diagnostic categories: cognitively unimpaired subjects (CU), mild cognitively impaired subjects (MCI), and subjects with dementia (AD-dementia), where all symptoms were due to AD. This work has been partially supported by the project MALEGRA TEC2016-75976-R financed by the Spanish Ministerio de Economía y Competitividad and the European Regional Development Fund (ERDF). AC was supported by the Spanish Ministerio de Educación, Cultura y Deporte FPU Research Fellowship. JG holds a Ramón y Cajal fellowship (RYC-2013-13054).
Databáze: OpenAIRE