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

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Autores: Casamitjana Díaz, Adrià|||0000-0002-0539-3638, Petrone, Paula, Molinuevo, José Luis, Gispert, Juan Domingo, Vilaplana Besler, Verónica|||0000-0001-6924-9961
Formato: artículo
Fecha de publicación:2019
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/175339
Acesso em linha:https://hdl.handle.net/2117/175339
https://dx.doi.org/10.1109/JBHI.2019.2932565
Access Level:acceso abierto
Palavra-chave:Magnetic resonance imaging
Biomedical engineering
Latent model
PLS
preclinical AD
CSF biomarkers
MRI
Imatgeria per ressonància magnètica
Enginyeria biomèdica
Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Diagnòstic per la imatge
Àrees temàtiques de la UPC::Enginyeria biomèdica
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oai_identifier_str oai:upcommons.upc.edu:2117/175339
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network_name_str España
repository_id_str
spelling Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive studyCasamitjana Díaz, Adrià|||0000-0002-0539-3638Petrone, PaulaMolinuevo, José LuisGispert, Juan DomingoVilaplana Besler, Verónica|||0000-0001-6924-9961Magnetic resonance imagingBiomedical engineeringLatent modelPLSpreclinical ADCSF biomarkersMRIImatgeria per ressonància magnèticaEnginyeria biomèdicaÀrees temàtiques de la UPC::Ciències de la salut::Medicina::Diagnòstic per la imatgeÀrees temàtiques de la UPC::Enginyeria biomèdica© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.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 more powerful in capturing structural variability. Hence, using the joint modeling of brain morphology and biomarkers, we aim at describing structural changes related to any brain condition by means of few underlying processes. In this regard, we use a multivariate approach based on Projection to Latent Structures in its regression variant (PLSR) to study structural changes related to aging and AD pathology. MRI volumetric and cortical thickness measurements are used for brain morphology and cerebrospinal fluid (CSF) biomarkers (t-tau, p-tau and amyloid-beta) are used as a proxy for AD pathology. By relating both sets of measurements, PLSR finds a low-dimensional latent space describing AD pathological effects on brain structure. The proposed framework allows to separately model aging effects on brain morphology as a confounder variable orthogonal to the pathological effect. The predictive power of the associated latent spaces (i.e. the capacity of predicting biomarker values) is assessed in a cross-validation framework.Peer Reviewed20192019-08-0120202020-01-20journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/175339https://dx.doi.org/10.1109/JBHI.2019.2932565reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1753392026-05-27T15:37:01Z
dc.title.none.fl_str_mv Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study
title Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study
spellingShingle Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study
Casamitjana Díaz, Adrià|||0000-0002-0539-3638
Magnetic resonance imaging
Biomedical engineering
Latent model
PLS
preclinical AD
CSF biomarkers
MRI
Imatgeria per ressonància magnètica
Enginyeria biomèdica
Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Diagnòstic per la imatge
Àrees temàtiques de la UPC::Enginyeria biomèdica
title_short Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study
title_full Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study
title_fullStr Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study
title_full_unstemmed Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study
title_sort Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study
dc.creator.none.fl_str_mv Casamitjana Díaz, Adrià|||0000-0002-0539-3638
Petrone, Paula
Molinuevo, José Luis
Gispert, Juan Domingo
Vilaplana Besler, Verónica|||0000-0001-6924-9961
author Casamitjana Díaz, Adrià|||0000-0002-0539-3638
author_facet Casamitjana Díaz, Adrià|||0000-0002-0539-3638
Petrone, Paula
Molinuevo, José Luis
Gispert, Juan Domingo
Vilaplana Besler, Verónica|||0000-0001-6924-9961
author_role author
author2 Petrone, Paula
Molinuevo, José Luis
Gispert, Juan Domingo
Vilaplana Besler, Verónica|||0000-0001-6924-9961
author2_role author
author
author
author
dc.subject.none.fl_str_mv Magnetic resonance imaging
Biomedical engineering
Latent model
PLS
preclinical AD
CSF biomarkers
MRI
Imatgeria per ressonància magnètica
Enginyeria biomèdica
Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Diagnòstic per la imatge
Àrees temàtiques de la UPC::Enginyeria biomèdica
topic Magnetic resonance imaging
Biomedical engineering
Latent model
PLS
preclinical AD
CSF biomarkers
MRI
Imatgeria per ressonància magnètica
Enginyeria biomèdica
Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Diagnòstic per la imatge
Àrees temàtiques de la UPC::Enginyeria biomèdica
description © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-08-01
2020
2020-01-20
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/175339
https://dx.doi.org/10.1109/JBHI.2019.2932565
url https://hdl.handle.net/2117/175339
https://dx.doi.org/10.1109/JBHI.2019.2932565
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301629

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