Differentiation of multiple system atrophy subtypes by gray matter atrophy

Background and purpose: Multiple system atrophy(MSA) is a rare adult-onset synucleinopathy that can be divided in two subtypes depending on whether the prevalence of its symptoms is more parkinsonian or cerebellar (MSA-P and MSA-C, respectively). The aim of this work is to investigate the structural...

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Autores: Campabadal Delgado, Anna, Abós, Alexandra, Segura i Fàbregas, Bàrbara, Monté Rubio, Gemma C., Pérez Soriano, Alexandra, Giraldo, Darly M., Muñoz, Esteban, Compta, Yaroslau, Junqué i Plaja, Carme, 1955-, Martí Domènech, Ma. Josep
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/181941
Acceso en línea:https://hdl.handle.net/2445/181941
Access Level:acceso abierto
Palabra clave:Cognició
Atròfia muscular
Cognition
Muscular atrophy
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spelling Differentiation of multiple system atrophy subtypes by gray matter atrophyCampabadal Delgado, AnnaAbós, AlexandraSegura i Fàbregas, BàrbaraMonté Rubio, Gemma C.Pérez Soriano, AlexandraGiraldo, Darly M.Muñoz, EstebanCompta, YaroslauJunqué i Plaja, Carme, 1955-Martí Domènech, Ma. JosepCognicióAtròfia muscularCognitionMuscular atrophyBackground and purpose: Multiple system atrophy(MSA) is a rare adult-onset synucleinopathy that can be divided in two subtypes depending on whether the prevalence of its symptoms is more parkinsonian or cerebellar (MSA-P and MSA-C, respectively). The aim of this work is to investigate the structural MRI changes able to discriminate MSA phenotypes. Methods: The sample includes 31 MSA patients (15 MSA-C and 16 MSA-P) and 39 healthy controls. Participants underwent a comprehensive motor and neuropsychological battery. MRI data were acquired with a 3T scanner (MAGNETOM Trio, Siemens, Germany). FreeSurfer was used to obtain volumetric and cortical thickness measures. A Support Vector Machine (SVM) algorithm was used to assess the classification between patients' group using cortical and subcortical structural data. Results: After correction for multiple comparisons, MSA-C patients had greater atrophy than MSA-P in the left cerebellum, whereas MSA-P showed reduced volume bilaterally in the pallidum and putamen. Using deep gray matter volume ratios and mean cortical thickness as features, the SVM algorithm provided a consistent classification between MSA-C and MSA-P patients (balanced accuracy 74.2%, specificity 75.0%, and sensitivity 73.3%). The cerebellum, putamen, thalamus, ventral diencephalon, pallidum, and caudate were the most contributing features to the classification decision (z > 3.28; p < .05 [false discovery rate]). Conclusions: MSA-C and MSA-P with similar disease severity and duration have a differential distribution of gray matter atrophy. Although cerebellar atrophy is a clear differentiator between groups, thalamic and basal ganglia structures are also relevant contributors to distinguishing MSA subtypes. Keywords: cognition; cortical thickness; machine learning; multiple system atrophy; neuroimaging.Wiley2021202120212021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion10 p.application/pdfhttps://hdl.handle.net/2445/181941Articles publicats en revistes (Medicina)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a: https://doi.org/10.1111/jon.12927Journal of Neuroimaging, 2021https://doi.org/10.1111/jon.12927cc by-nc-nd (c) Campabadal, Anna et al., 2021http://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:recercat.cat:2445/1819412026-05-29T05:05:01Z
dc.title.none.fl_str_mv Differentiation of multiple system atrophy subtypes by gray matter atrophy
title Differentiation of multiple system atrophy subtypes by gray matter atrophy
spellingShingle Differentiation of multiple system atrophy subtypes by gray matter atrophy
Campabadal Delgado, Anna
Cognició
Atròfia muscular
Cognition
Muscular atrophy
title_short Differentiation of multiple system atrophy subtypes by gray matter atrophy
title_full Differentiation of multiple system atrophy subtypes by gray matter atrophy
title_fullStr Differentiation of multiple system atrophy subtypes by gray matter atrophy
title_full_unstemmed Differentiation of multiple system atrophy subtypes by gray matter atrophy
title_sort Differentiation of multiple system atrophy subtypes by gray matter atrophy
dc.creator.none.fl_str_mv Campabadal Delgado, Anna
Abós, Alexandra
Segura i Fàbregas, Bàrbara
Monté Rubio, Gemma C.
Pérez Soriano, Alexandra
Giraldo, Darly M.
Muñoz, Esteban
Compta, Yaroslau
Junqué i Plaja, Carme, 1955-
Martí Domènech, Ma. Josep
author Campabadal Delgado, Anna
author_facet Campabadal Delgado, Anna
Abós, Alexandra
Segura i Fàbregas, Bàrbara
Monté Rubio, Gemma C.
Pérez Soriano, Alexandra
Giraldo, Darly M.
Muñoz, Esteban
Compta, Yaroslau
Junqué i Plaja, Carme, 1955-
Martí Domènech, Ma. Josep
author_role author
author2 Abós, Alexandra
Segura i Fàbregas, Bàrbara
Monté Rubio, Gemma C.
Pérez Soriano, Alexandra
Giraldo, Darly M.
Muñoz, Esteban
Compta, Yaroslau
Junqué i Plaja, Carme, 1955-
Martí Domènech, Ma. Josep
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Cognició
Atròfia muscular
Cognition
Muscular atrophy
topic Cognició
Atròfia muscular
Cognition
Muscular atrophy
description Background and purpose: Multiple system atrophy(MSA) is a rare adult-onset synucleinopathy that can be divided in two subtypes depending on whether the prevalence of its symptoms is more parkinsonian or cerebellar (MSA-P and MSA-C, respectively). The aim of this work is to investigate the structural MRI changes able to discriminate MSA phenotypes. Methods: The sample includes 31 MSA patients (15 MSA-C and 16 MSA-P) and 39 healthy controls. Participants underwent a comprehensive motor and neuropsychological battery. MRI data were acquired with a 3T scanner (MAGNETOM Trio, Siemens, Germany). FreeSurfer was used to obtain volumetric and cortical thickness measures. A Support Vector Machine (SVM) algorithm was used to assess the classification between patients' group using cortical and subcortical structural data. Results: After correction for multiple comparisons, MSA-C patients had greater atrophy than MSA-P in the left cerebellum, whereas MSA-P showed reduced volume bilaterally in the pallidum and putamen. Using deep gray matter volume ratios and mean cortical thickness as features, the SVM algorithm provided a consistent classification between MSA-C and MSA-P patients (balanced accuracy 74.2%, specificity 75.0%, and sensitivity 73.3%). The cerebellum, putamen, thalamus, ventral diencephalon, pallidum, and caudate were the most contributing features to the classification decision (z > 3.28; p < .05 [false discovery rate]). Conclusions: MSA-C and MSA-P with similar disease severity and duration have a differential distribution of gray matter atrophy. Although cerebellar atrophy is a clear differentiator between groups, thalamic and basal ganglia structures are also relevant contributors to distinguishing MSA subtypes. Keywords: cognition; cortical thickness; machine learning; multiple system atrophy; neuroimaging.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/181941
url https://hdl.handle.net/2445/181941
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/10.1111/jon.12927
Journal of Neuroimaging, 2021
https://doi.org/10.1111/jon.12927
dc.rights.none.fl_str_mv cc by-nc-nd (c) Campabadal, Anna et al., 2021
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc by-nc-nd (c) Campabadal, Anna et al., 2021
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 10 p.
application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv Articles publicats en revistes (Medicina)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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