Hierarchical cluster analysis of multimodal imaging data identifies brain atrophy and cognitive patterns in Parkinson's disease

Background: Parkinson's disease (PD) is a heterogeneous condition. Cluster analysis based on cortical thickness has been used to define distinct patterns of brain atrophy in PD. However, the potential of other neuroimaging modalities, such as white matter (WM) fractional anisotropy (FA), which...

Descripción completa

Detalles Bibliográficos
Autores: Inguanzo, Anna, Sala Llonch, Roser, Segura i Fàbregas, Bàrbara, Erostarbe, H., Abós, Alexandra, Campabadal Delgado, Anna, Uribe, Carme, Baggio, Hugo César, Compta, Yaroslau, Martí Domènech, Ma. Josep, Valldeoriola Serra, Francesc, Bargalló Alabart, Núria, Junqué i Plaja, Carme, 1955-
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2020
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/174765
Acceso en línea:https://hdl.handle.net/2445/174765
Access Level:acceso abierto
Palabra clave:Malaltia de Parkinson
Ressonància magnètica
Anàlisi de conglomerats
Parkinson's disease
Magnetic resonance
Cluster analysis
id ES_49b5b4a3ead6a27afae7e7bafbbab4e9
oai_identifier_str oai:diposit.ub.edu:2445/174765
network_acronym_str ES
network_name_str España
repository_id_str
spelling Hierarchical cluster analysis of multimodal imaging data identifies brain atrophy and cognitive patterns in Parkinson's diseaseInguanzo, AnnaSala Llonch, RoserSegura i Fàbregas, BàrbaraErostarbe, H.Abós, AlexandraCampabadal Delgado, AnnaUribe, CarmeBaggio, Hugo CésarCompta, YaroslauMartí Domènech, Ma. JosepValldeoriola Serra, FrancescBargalló Alabart, NúriaJunqué i Plaja, Carme, 1955-Malaltia de ParkinsonRessonància magnèticaAnàlisi de conglomeratsParkinson's diseaseMagnetic resonanceCluster analysisBackground: Parkinson's disease (PD) is a heterogeneous condition. Cluster analysis based on cortical thickness has been used to define distinct patterns of brain atrophy in PD. However, the potential of other neuroimaging modalities, such as white matter (WM) fractional anisotropy (FA), which has also been demonstrated to be altered in PD, has not been investigated. Objective: We aim to characterize PD subtypes using a multimodal clustering approach based on cortical and subcortical gray matter (GM) volumes and FA measures. Methods: We included T1-weighted and diffusion-weighted MRI data from 62 PD patients and 33 healthy controls. We extracted mean GM volumes from 48 cortical and 17 subcortical regions using FSL-VBM, and the mean FA from 20 WM tracts using Tract-Based Spatial Statistics (TBSS). Hierarchical cluster analysis was performed with the PD sample using Ward's linkage method. Whole-brain voxel-wise intergroup comparisons of VBM and TBSS data were also performed using FSL. Neuropsychological and demographic statistical analyses were conducted using IBM SPSS Statistics 25.0. Results: We identified three PD subtypes, with prominent differences in GM patterns and little WM involvement. One group (n = 15) with widespread cortical and subcortical GM volume and WM FA reductions and pronounced cognitive deficits; a second group (n = 21) with only cortical atrophy limited to frontal and temporal regions and more specific neuropsychological impairment, and a third group (n = 26) without detectable atrophy or cognition impairment. Conclusion: Multimodal MRI data allows classifying PD patients into groups according to GM and WM patterns, which in turn are associated with the cognitive profile.Elsevier B.V.2020info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/174765Articles publicats en revistes (Institut de Neurociències (UBNeuro))reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/10.1016/j.parkreldis.2020.11.010Parkinsonism & Related Disorders, 2020, vol. 82, p. 16-23https://doi.org/10.1016/j.parkreldis.2020.11.010cc-by-nc-nd (c) Inguanzo, Anna et al., 2020http://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1747652026-05-27T06:46:51Z
dc.title.none.fl_str_mv Hierarchical cluster analysis of multimodal imaging data identifies brain atrophy and cognitive patterns in Parkinson's disease
title Hierarchical cluster analysis of multimodal imaging data identifies brain atrophy and cognitive patterns in Parkinson's disease
spellingShingle Hierarchical cluster analysis of multimodal imaging data identifies brain atrophy and cognitive patterns in Parkinson's disease
Inguanzo, Anna
Malaltia de Parkinson
Ressonància magnètica
Anàlisi de conglomerats
Parkinson's disease
Magnetic resonance
Cluster analysis
title_short Hierarchical cluster analysis of multimodal imaging data identifies brain atrophy and cognitive patterns in Parkinson's disease
title_full Hierarchical cluster analysis of multimodal imaging data identifies brain atrophy and cognitive patterns in Parkinson's disease
title_fullStr Hierarchical cluster analysis of multimodal imaging data identifies brain atrophy and cognitive patterns in Parkinson's disease
title_full_unstemmed Hierarchical cluster analysis of multimodal imaging data identifies brain atrophy and cognitive patterns in Parkinson's disease
title_sort Hierarchical cluster analysis of multimodal imaging data identifies brain atrophy and cognitive patterns in Parkinson's disease
dc.creator.none.fl_str_mv Inguanzo, Anna
Sala Llonch, Roser
Segura i Fàbregas, Bàrbara
Erostarbe, H.
Abós, Alexandra
Campabadal Delgado, Anna
Uribe, Carme
Baggio, Hugo César
Compta, Yaroslau
Martí Domènech, Ma. Josep
Valldeoriola Serra, Francesc
Bargalló Alabart, Núria
Junqué i Plaja, Carme, 1955-
author Inguanzo, Anna
author_facet Inguanzo, Anna
Sala Llonch, Roser
Segura i Fàbregas, Bàrbara
Erostarbe, H.
Abós, Alexandra
Campabadal Delgado, Anna
Uribe, Carme
Baggio, Hugo César
Compta, Yaroslau
Martí Domènech, Ma. Josep
Valldeoriola Serra, Francesc
Bargalló Alabart, Núria
Junqué i Plaja, Carme, 1955-
author_role author
author2 Sala Llonch, Roser
Segura i Fàbregas, Bàrbara
Erostarbe, H.
Abós, Alexandra
Campabadal Delgado, Anna
Uribe, Carme
Baggio, Hugo César
Compta, Yaroslau
Martí Domènech, Ma. Josep
Valldeoriola Serra, Francesc
Bargalló Alabart, Núria
Junqué i Plaja, Carme, 1955-
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Malaltia de Parkinson
Ressonància magnètica
Anàlisi de conglomerats
Parkinson's disease
Magnetic resonance
Cluster analysis
topic Malaltia de Parkinson
Ressonància magnètica
Anàlisi de conglomerats
Parkinson's disease
Magnetic resonance
Cluster analysis
description Background: Parkinson's disease (PD) is a heterogeneous condition. Cluster analysis based on cortical thickness has been used to define distinct patterns of brain atrophy in PD. However, the potential of other neuroimaging modalities, such as white matter (WM) fractional anisotropy (FA), which has also been demonstrated to be altered in PD, has not been investigated. Objective: We aim to characterize PD subtypes using a multimodal clustering approach based on cortical and subcortical gray matter (GM) volumes and FA measures. Methods: We included T1-weighted and diffusion-weighted MRI data from 62 PD patients and 33 healthy controls. We extracted mean GM volumes from 48 cortical and 17 subcortical regions using FSL-VBM, and the mean FA from 20 WM tracts using Tract-Based Spatial Statistics (TBSS). Hierarchical cluster analysis was performed with the PD sample using Ward's linkage method. Whole-brain voxel-wise intergroup comparisons of VBM and TBSS data were also performed using FSL. Neuropsychological and demographic statistical analyses were conducted using IBM SPSS Statistics 25.0. Results: We identified three PD subtypes, with prominent differences in GM patterns and little WM involvement. One group (n = 15) with widespread cortical and subcortical GM volume and WM FA reductions and pronounced cognitive deficits; a second group (n = 21) with only cortical atrophy limited to frontal and temporal regions and more specific neuropsychological impairment, and a third group (n = 26) without detectable atrophy or cognition impairment. Conclusion: Multimodal MRI data allows classifying PD patients into groups according to GM and WM patterns, which in turn are associated with the cognitive profile.
publishDate 2020
dc.date.none.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
info:eu-repo/semantics/publishedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/174765
url https://hdl.handle.net/2445/174765
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.1016/j.parkreldis.2020.11.010
Parkinsonism & Related Disorders, 2020, vol. 82, p. 16-23
https://doi.org/10.1016/j.parkreldis.2020.11.010
dc.rights.none.fl_str_mv cc-by-nc-nd (c) Inguanzo, Anna et al., 2020
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by-nc-nd (c) Inguanzo, Anna et al., 2020
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv Articles publicats en revistes (Institut de Neurociències (UBNeuro))
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869407441027858432
score 15,301603

Similares en LA Referencia