Dynamics and Predictors of Cognitive Impairment along the Disease Course in Multiple Sclerosis
(1) Background: The evolution and predictors of cognitive impairment (CI) in multiple sclerosis (MS) are poorly understood. We aimed to define the temporal dynamics of cognition throughout the disease course and identify clinical and neuroimaging measures that predict CI. (2) Methods: This paper fea...
| Autores: | , , , , , , , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universidad de Barcelona |
| Repositorio: | Dipòsit Digital de la UB |
| OAI Identifier: | oai:diposit.ub.edu:2445/181843 |
| Acceso en línea: | https://hdl.handle.net/2445/181843 |
| Access Level: | acceso abierto |
| Palabra clave: | Esclerosi múltiple Cognició Multiple sclerosis Cognition |
| id |
ES_a2a4a72d9bea4fbbdd0e30c705dff9cb |
|---|---|
| oai_identifier_str |
oai:diposit.ub.edu:2445/181843 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
Dynamics and Predictors of Cognitive Impairment along the Disease Course in Multiple SclerosisLópez Soley, ElisabetMartinez Heras, EloyAndorra, MagiSolanes, AleixRadua, JoaquimMontejo González, CarmenAlba Arbalat, SalutSola Valls, NuriaPulido Valdeolivas, IreneSepulveda, MariaRomero Pinel, Lucía MaríaMunteis, ElviraMartínez Rodríguez, José EnriqueBlanco, YolandaMartinez Lapiscina, Elena H.Villoslada, PabloSaiz Hinarejos, AlbertSolana Díaz, ElisabethLlufriu Duran, SaraEsclerosi múltipleCognicióMultiple sclerosisCognition(1) Background: The evolution and predictors of cognitive impairment (CI) in multiple sclerosis (MS) are poorly understood. We aimed to define the temporal dynamics of cognition throughout the disease course and identify clinical and neuroimaging measures that predict CI. (2) Methods: This paper features a longitudinal study with 212 patients who underwent several cognitive examinations at different time points. Dynamics of cognition were assessed using mixed-effects linear spline models. Machine learning techniques were used to identify which baseline demographic, clinical, and neuroimaging measures best predicted CI. (3) Results: In the first 5 years of MS, we detected an increase in the z-scores of global cognition, verbal memory, and information processing speed, which was followed by a decline in global cognition and memory (p < 0.05) between years 5 and 15. From 15 to 30 years of disease onset, cognitive decline continued, affecting global cognition and verbal memory. The baseline measures that best predicted CI were education, disease severity, lesion burden, and hippocampus and anterior cingulate cortex volume. (4) Conclusions: In MS, cognition deteriorates 5 years after disease onset, declining steadily over the next 25 years and more markedly affecting verbal memory. Education, disease severity, lesion burden, and volume of limbic structures predict future CI and may be helpful when identifying at-risk patients.MDPI AG2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/181843Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/10.3390/jpm11111107Journal of Personalized Medicine, 2021, vol. 11, num. 11, p. 1107https://doi.org/10.3390/jpm11111107cc by (c) Lopez Soley, Elisabet et al, 2021http://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1818432026-05-27T06:46:51Z |
| dc.title.none.fl_str_mv |
Dynamics and Predictors of Cognitive Impairment along the Disease Course in Multiple Sclerosis |
| title |
Dynamics and Predictors of Cognitive Impairment along the Disease Course in Multiple Sclerosis |
| spellingShingle |
Dynamics and Predictors of Cognitive Impairment along the Disease Course in Multiple Sclerosis López Soley, Elisabet Esclerosi múltiple Cognició Multiple sclerosis Cognition |
| title_short |
Dynamics and Predictors of Cognitive Impairment along the Disease Course in Multiple Sclerosis |
| title_full |
Dynamics and Predictors of Cognitive Impairment along the Disease Course in Multiple Sclerosis |
| title_fullStr |
Dynamics and Predictors of Cognitive Impairment along the Disease Course in Multiple Sclerosis |
| title_full_unstemmed |
Dynamics and Predictors of Cognitive Impairment along the Disease Course in Multiple Sclerosis |
| title_sort |
Dynamics and Predictors of Cognitive Impairment along the Disease Course in Multiple Sclerosis |
| dc.creator.none.fl_str_mv |
López Soley, Elisabet Martinez Heras, Eloy Andorra, Magi Solanes, Aleix Radua, Joaquim Montejo González, Carmen Alba Arbalat, Salut Sola Valls, Nuria Pulido Valdeolivas, Irene Sepulveda, Maria Romero Pinel, Lucía María Munteis, Elvira Martínez Rodríguez, José Enrique Blanco, Yolanda Martinez Lapiscina, Elena H. Villoslada, Pablo Saiz Hinarejos, Albert Solana Díaz, Elisabeth Llufriu Duran, Sara |
| author |
López Soley, Elisabet |
| author_facet |
López Soley, Elisabet Martinez Heras, Eloy Andorra, Magi Solanes, Aleix Radua, Joaquim Montejo González, Carmen Alba Arbalat, Salut Sola Valls, Nuria Pulido Valdeolivas, Irene Sepulveda, Maria Romero Pinel, Lucía María Munteis, Elvira Martínez Rodríguez, José Enrique Blanco, Yolanda Martinez Lapiscina, Elena H. Villoslada, Pablo Saiz Hinarejos, Albert Solana Díaz, Elisabeth Llufriu Duran, Sara |
| author_role |
author |
| author2 |
Martinez Heras, Eloy Andorra, Magi Solanes, Aleix Radua, Joaquim Montejo González, Carmen Alba Arbalat, Salut Sola Valls, Nuria Pulido Valdeolivas, Irene Sepulveda, Maria Romero Pinel, Lucía María Munteis, Elvira Martínez Rodríguez, José Enrique Blanco, Yolanda Martinez Lapiscina, Elena H. Villoslada, Pablo Saiz Hinarejos, Albert Solana Díaz, Elisabeth Llufriu Duran, Sara |
| author2_role |
author author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Esclerosi múltiple Cognició Multiple sclerosis Cognition |
| topic |
Esclerosi múltiple Cognició Multiple sclerosis Cognition |
| description |
(1) Background: The evolution and predictors of cognitive impairment (CI) in multiple sclerosis (MS) are poorly understood. We aimed to define the temporal dynamics of cognition throughout the disease course and identify clinical and neuroimaging measures that predict CI. (2) Methods: This paper features a longitudinal study with 212 patients who underwent several cognitive examinations at different time points. Dynamics of cognition were assessed using mixed-effects linear spline models. Machine learning techniques were used to identify which baseline demographic, clinical, and neuroimaging measures best predicted CI. (3) Results: In the first 5 years of MS, we detected an increase in the z-scores of global cognition, verbal memory, and information processing speed, which was followed by a decline in global cognition and memory (p < 0.05) between years 5 and 15. From 15 to 30 years of disease onset, cognitive decline continued, affecting global cognition and verbal memory. The baseline measures that best predicted CI were education, disease severity, lesion burden, and hippocampus and anterior cingulate cortex volume. (4) Conclusions: In MS, cognition deteriorates 5 years after disease onset, declining steadily over the next 25 years and more markedly affecting verbal memory. Education, disease severity, lesion burden, and volume of limbic structures predict future CI and may be helpful when identifying at-risk patients. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
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/2445/181843 |
| url |
https://hdl.handle.net/2445/181843 |
| 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/10.3390/jpm11111107 Journal of Personalized Medicine, 2021, vol. 11, num. 11, p. 1107 https://doi.org/10.3390/jpm11111107 |
| dc.rights.none.fl_str_mv |
cc by (c) Lopez Soley, Elisabet et al, 2021 http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
cc by (c) Lopez Soley, Elisabet et al, 2021 http://creativecommons.org/licenses/by/3.0/es/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
MDPI AG |
| publisher.none.fl_str_mv |
MDPI AG |
| dc.source.none.fl_str_mv |
Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) 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_ |
1869415297405943808 |
| score |
15,300724 |