Miniatura

Fitxers

714870.pdf (2.94 MB)

Tipus de document

Article

Versió

Versió publicada

Data de publicació

2021-09-10

Llicència de publicació

cc by-nc-nd (c) Campabadal, Anna et al., 2021
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/181941

Differentiation of multiple system atrophy subtypes by gray matter atrophy

Títol de la revista

Autors

Director/Tutor

ISSN de la revista

Títol del volum

Recurs relacionat

https://doi.org/10.1111/jon.12927

Resum

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.

Matèries

Cognició, Atròfia muscular

Matèries (anglès)

Cognition, Muscular atrophy

Citació

Col·leccions

Articles publicats en revistes (Medicina)
Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)
Articles publicats en revistes (Institut de Neurociències (UBNeuro))

Citació

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, MARTÍ DOMÈNECH, Ma. josep. Differentiation of multiple system atrophy subtypes by gray matter atrophy. _Journal of Neuroimaging_. 2021. [consulta: 24 de gener de 2026]. ISSN: 1051-2284. [Disponible a: https://hdl.handle.net/2445/181941]

Exportar metadades

JSON - METS

Compartir registre