Cargando…
Distinct subtypes of Alzheimer’s disease based on patterns of brain atrophy: longitudinal trajectories and clinical applications
Atrophy patterns on MRI can reliably predict three neuropathological subtypes of Alzheimer’s disease (AD): typical, limbic-predominant, or hippocampal-sparing. A method to enable their investigation in the clinical routine is still lacking. We aimed to (1) validate the combined use of visual rating...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5394684/ https://www.ncbi.nlm.nih.gov/pubmed/28417965 http://dx.doi.org/10.1038/srep46263 |
_version_ | 1783229762614853632 |
---|---|
author | Ferreira, Daniel Verhagen, Chloë Hernández-Cabrera, Juan Andrés Cavallin, Lena Guo, Chun-Jie Ekman, Urban Muehlboeck, J-Sebastian Simmons, Andrew Barroso, José Wahlund, Lars-Olof Westman, Eric |
author_facet | Ferreira, Daniel Verhagen, Chloë Hernández-Cabrera, Juan Andrés Cavallin, Lena Guo, Chun-Jie Ekman, Urban Muehlboeck, J-Sebastian Simmons, Andrew Barroso, José Wahlund, Lars-Olof Westman, Eric |
author_sort | Ferreira, Daniel |
collection | PubMed |
description | Atrophy patterns on MRI can reliably predict three neuropathological subtypes of Alzheimer’s disease (AD): typical, limbic-predominant, or hippocampal-sparing. A method to enable their investigation in the clinical routine is still lacking. We aimed to (1) validate the combined use of visual rating scales for identification of AD subtypes; (2) characterise these subtypes at baseline and over two years; and (3) investigate how atrophy patterns and non-memory cognitive domains contribute to memory impairment. AD patients were classified as either typical AD (n = 100), limbic-predominant (n = 33), or hippocampal-sparing (n = 35) by using the Scheltens’ scale for medial temporal lobe atrophy (MTA), the Koedam’s scale for posterior atrophy (PA), and the Pasquier’s global cortical atrophy scale for frontal atrophy (GCA-F). A fourth group with no atrophy was also identified (n = 30). 230 healthy controls were also included. There was great overlap among subtypes in demographic, clinical, and cognitive variables. Memory performance was more dependent on non-memory cognitive functions in hippocampal-sparing and the no atrophy group. Hippocampal-sparing and the no atrophy group showed less aggressive disease progression. Visual rating scales can be used to identify distinct AD subtypes. Recognizing AD heterogeneity is important and visual rating scales may facilitate investigation of AD heterogeneity in clinical routine. |
format | Online Article Text |
id | pubmed-5394684 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53946842017-04-20 Distinct subtypes of Alzheimer’s disease based on patterns of brain atrophy: longitudinal trajectories and clinical applications Ferreira, Daniel Verhagen, Chloë Hernández-Cabrera, Juan Andrés Cavallin, Lena Guo, Chun-Jie Ekman, Urban Muehlboeck, J-Sebastian Simmons, Andrew Barroso, José Wahlund, Lars-Olof Westman, Eric Sci Rep Article Atrophy patterns on MRI can reliably predict three neuropathological subtypes of Alzheimer’s disease (AD): typical, limbic-predominant, or hippocampal-sparing. A method to enable their investigation in the clinical routine is still lacking. We aimed to (1) validate the combined use of visual rating scales for identification of AD subtypes; (2) characterise these subtypes at baseline and over two years; and (3) investigate how atrophy patterns and non-memory cognitive domains contribute to memory impairment. AD patients were classified as either typical AD (n = 100), limbic-predominant (n = 33), or hippocampal-sparing (n = 35) by using the Scheltens’ scale for medial temporal lobe atrophy (MTA), the Koedam’s scale for posterior atrophy (PA), and the Pasquier’s global cortical atrophy scale for frontal atrophy (GCA-F). A fourth group with no atrophy was also identified (n = 30). 230 healthy controls were also included. There was great overlap among subtypes in demographic, clinical, and cognitive variables. Memory performance was more dependent on non-memory cognitive functions in hippocampal-sparing and the no atrophy group. Hippocampal-sparing and the no atrophy group showed less aggressive disease progression. Visual rating scales can be used to identify distinct AD subtypes. Recognizing AD heterogeneity is important and visual rating scales may facilitate investigation of AD heterogeneity in clinical routine. Nature Publishing Group 2017-04-18 /pmc/articles/PMC5394684/ /pubmed/28417965 http://dx.doi.org/10.1038/srep46263 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Ferreira, Daniel Verhagen, Chloë Hernández-Cabrera, Juan Andrés Cavallin, Lena Guo, Chun-Jie Ekman, Urban Muehlboeck, J-Sebastian Simmons, Andrew Barroso, José Wahlund, Lars-Olof Westman, Eric Distinct subtypes of Alzheimer’s disease based on patterns of brain atrophy: longitudinal trajectories and clinical applications |
title | Distinct subtypes of Alzheimer’s disease based on patterns of brain atrophy: longitudinal trajectories and clinical applications |
title_full | Distinct subtypes of Alzheimer’s disease based on patterns of brain atrophy: longitudinal trajectories and clinical applications |
title_fullStr | Distinct subtypes of Alzheimer’s disease based on patterns of brain atrophy: longitudinal trajectories and clinical applications |
title_full_unstemmed | Distinct subtypes of Alzheimer’s disease based on patterns of brain atrophy: longitudinal trajectories and clinical applications |
title_short | Distinct subtypes of Alzheimer’s disease based on patterns of brain atrophy: longitudinal trajectories and clinical applications |
title_sort | distinct subtypes of alzheimer’s disease based on patterns of brain atrophy: longitudinal trajectories and clinical applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5394684/ https://www.ncbi.nlm.nih.gov/pubmed/28417965 http://dx.doi.org/10.1038/srep46263 |
work_keys_str_mv | AT ferreiradaniel distinctsubtypesofalzheimersdiseasebasedonpatternsofbrainatrophylongitudinaltrajectoriesandclinicalapplications AT verhagenchloe distinctsubtypesofalzheimersdiseasebasedonpatternsofbrainatrophylongitudinaltrajectoriesandclinicalapplications AT hernandezcabrerajuanandres distinctsubtypesofalzheimersdiseasebasedonpatternsofbrainatrophylongitudinaltrajectoriesandclinicalapplications AT cavallinlena distinctsubtypesofalzheimersdiseasebasedonpatternsofbrainatrophylongitudinaltrajectoriesandclinicalapplications AT guochunjie distinctsubtypesofalzheimersdiseasebasedonpatternsofbrainatrophylongitudinaltrajectoriesandclinicalapplications AT ekmanurban distinctsubtypesofalzheimersdiseasebasedonpatternsofbrainatrophylongitudinaltrajectoriesandclinicalapplications AT muehlboeckjsebastian distinctsubtypesofalzheimersdiseasebasedonpatternsofbrainatrophylongitudinaltrajectoriesandclinicalapplications AT simmonsandrew distinctsubtypesofalzheimersdiseasebasedonpatternsofbrainatrophylongitudinaltrajectoriesandclinicalapplications AT barrosojose distinctsubtypesofalzheimersdiseasebasedonpatternsofbrainatrophylongitudinaltrajectoriesandclinicalapplications AT wahlundlarsolof distinctsubtypesofalzheimersdiseasebasedonpatternsofbrainatrophylongitudinaltrajectoriesandclinicalapplications AT westmaneric distinctsubtypesofalzheimersdiseasebasedonpatternsofbrainatrophylongitudinaltrajectoriesandclinicalapplications |