Projection to Latent Spaces Disentangles Pathological Effects on Brain Morphology in the Asymptomatic Phase of Alzheimer's Disease
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 Aβ, p-tau, and t-tau. In parallel, brain anatomy can be characterized through imaging techniques, such as magnetic...
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doaj-2d137c772f654d9f8c3dc99b30de86c72020-11-25T03:28:58ZengFrontiers Media S.A.Frontiers in Neurology1664-22952020-07-011110.3389/fneur.2020.00648468941Projection to Latent Spaces Disentangles Pathological Effects on Brain Morphology in the Asymptomatic Phase of Alzheimer's DiseaseAdrià Casamitjana0Paula Petrone1José Luis Molinuevo2José Luis Molinuevo3José Luis Molinuevo4Juan Domingo Gispert5Juan Domingo Gispert6Juan Domingo Gispert7Verónica Vilaplana8Image and Video Processing Unit, Department of Signal Theory and Communications, UPCBarcelona Tech, Barcelona, SpainBarcelonabeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, SpainBarcelonabeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, SpainCIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, SpainDepartament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, SpainBarcelonabeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, SpainDepartament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, SpainCIBER de Bioengeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, SpainImage and Video Processing Unit, Department of Signal Theory and Communications, UPCBarcelona Tech, Barcelona, SpainAlzheimer'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 Aβ, 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.https://www.frontiersin.org/article/10.3389/fneur.2020.00648/fullAlzheimer's diseasePLSpre-clinical ADlatent modelCSF biomarkersbrain morphology |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Adrià Casamitjana Paula Petrone José Luis Molinuevo José Luis Molinuevo José Luis Molinuevo Juan Domingo Gispert Juan Domingo Gispert Juan Domingo Gispert Verónica Vilaplana |
spellingShingle |
Adrià Casamitjana Paula Petrone José Luis Molinuevo José Luis Molinuevo José Luis Molinuevo Juan Domingo Gispert Juan Domingo Gispert Juan Domingo Gispert Verónica Vilaplana Projection to Latent Spaces Disentangles Pathological Effects on Brain Morphology in the Asymptomatic Phase of Alzheimer's Disease Frontiers in Neurology Alzheimer's disease PLS pre-clinical AD latent model CSF biomarkers brain morphology |
author_facet |
Adrià Casamitjana Paula Petrone José Luis Molinuevo José Luis Molinuevo José Luis Molinuevo Juan Domingo Gispert Juan Domingo Gispert Juan Domingo Gispert Verónica Vilaplana |
author_sort |
Adrià Casamitjana |
title |
Projection to Latent Spaces Disentangles Pathological Effects on Brain Morphology in the Asymptomatic Phase of Alzheimer's Disease |
title_short |
Projection to Latent Spaces Disentangles Pathological Effects on Brain Morphology in the Asymptomatic Phase of Alzheimer's Disease |
title_full |
Projection to Latent Spaces Disentangles Pathological Effects on Brain Morphology in the Asymptomatic Phase of Alzheimer's Disease |
title_fullStr |
Projection to Latent Spaces Disentangles Pathological Effects on Brain Morphology in the Asymptomatic Phase of Alzheimer's Disease |
title_full_unstemmed |
Projection to Latent Spaces Disentangles Pathological Effects on Brain Morphology in the Asymptomatic Phase of Alzheimer's Disease |
title_sort |
projection to latent spaces disentangles pathological effects on brain morphology in the asymptomatic phase of alzheimer's disease |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Neurology |
issn |
1664-2295 |
publishDate |
2020-07-01 |
description |
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 Aβ, 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. |
topic |
Alzheimer's disease PLS pre-clinical AD latent model CSF biomarkers brain morphology |
url |
https://www.frontiersin.org/article/10.3389/fneur.2020.00648/full |
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