dc.contributor.author
Falgàs Martínez, Neus
dc.contributor.author
Ruiz Peris, Mariona
dc.contributor.author
Pérez Millan, Agnès
dc.contributor.author
Sala Llonch, Roser
dc.contributor.author
Antonell Boixader, Anna, 1978-
dc.contributor.author
Balasa, Mircea
dc.contributor.author
Borrego Écija, Sergi
dc.contributor.author
Ramos Campoy, Oscar
dc.contributor.author
Augé Fradera, Josep Maria
dc.contributor.author
Castellví, Magdalena
dc.contributor.author
Tort Merino, Adrià
dc.contributor.author
Olives, Jaume
dc.contributor.author
Fernández Villullas, Guadalupe
dc.contributor.author
Blennow, Kaj
dc.contributor.author
Zetterberg, Henrik
dc.contributor.author
Bargalló Alabart, Núria
dc.contributor.author
Lladó Plarrumaní, Albert
dc.contributor.author
Sánchez del Valle Díaz, Raquel
dc.date.issued
2021-04-22T11:19:27Z
dc.date.issued
2021-04-22T11:19:27Z
dc.date.issued
2020-01-16
dc.date.issued
2021-04-22T11:19:27Z
dc.identifier
https://hdl.handle.net/2445/176636
dc.description.abstract
Prior studies have described distinct patterns of brain gray matter and white matter alterations in Alzheimer's disease (AD) and frontotemporal lobar degeneration (FTLD), as well as differences in their cerebrospinal fluid (CSF) biomarkers profiles. We aim to investigate the relationship between early‐onset AD (EOAD) and FTLD structural alterations and CSF biomarker levels. We included 138 subjects (64 EOAD, 26 FTLD, and 48 controls), all of them with a 3T MRI brain scan and CSF biomarkers available (the 42 amino acid‐long form of the amyloid‐beta protein [Aβ42], total‐tau protein [T‐tau], neurofilament light chain [NfL], neurogranin [Ng], and 14‐3‐3 levels). We used FreeSurfer and FSL to obtain cortical thickness (CTh) and fraction anisotropy (FA) maps. We studied group differences in CTh and FA and described the "AD signature" and "FTLD signature." We tested multiple regression models to find which CSF‐biomarkers better explained each disease neuroimaging signature. CTh and FA maps corresponding to the AD and FTLD signatures were in accordance with previous literature. Multiple regression analyses showed that the biomarkers that better explained CTh values within the AD signature were Aβ and 14‐3‐3; whereas NfL and 14‐3‐3 levels explained CTh values within the FTLD signature. Similarly, NfL levels explained FA values in the FTLD signature. Ng levels were not predictive in any of the models. Biochemical markers contribute differently to structural (CTh and FA) changes typical of AD and FTLD.
dc.format
application/pdf
dc.relation
Reproducció del document publicat a: https://doi.org/10.1002/hbm.24925
dc.relation
Human Brain Mapping, 2020, vol. 41, num. 8, p. 2004-2013
dc.relation
https://doi.org/10.1002/hbm.24925
dc.relation
info:eu-repo/grantAgreement/EC/H2020/681712/EU//PATHAD
dc.rights
cc by-nc (c) Falgàs Martínez, Neus et al., 2020
dc.rights
http://creativecommons.org/licenses/by-nc/3.0/es
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Biomedicina)
dc.subject
Malaltia d'Alzheimer
dc.subject
Líquid cefalorraquidi
dc.subject
Alzheimer's disease
dc.subject
Cerebrospinal fluid
dc.title
Contribution of CSF biomarkers to early-onset Alzheimer's disease and frontotemporal dementia neuroimaging signatures
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion