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Structural progression of Alzheimer’s disease over decades: the MRI staging scheme

The chronological progression of brain atrophy over decades, from pre-symptomatic to dementia stages, has never been formally depicted in Alzheimer’s disease. This is mainly due to the lack of cohorts with long enough MRI follow-ups in cognitively unimpaired young participants at baseline. To descri...

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Autores principales: Planche, Vincent, Manjon, José V., Mansencal, Boris, Lanuza, Enrique, Tourdias, Thomas, Catheline, Gwenaëlle, Coupé, Pierrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113086/
https://www.ncbi.nlm.nih.gov/pubmed/35592489
http://dx.doi.org/10.1093/braincomms/fcac109
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author Planche, Vincent
Manjon, José V.
Mansencal, Boris
Lanuza, Enrique
Tourdias, Thomas
Catheline, Gwenaëlle
Coupé, Pierrick
author_facet Planche, Vincent
Manjon, José V.
Mansencal, Boris
Lanuza, Enrique
Tourdias, Thomas
Catheline, Gwenaëlle
Coupé, Pierrick
author_sort Planche, Vincent
collection PubMed
description The chronological progression of brain atrophy over decades, from pre-symptomatic to dementia stages, has never been formally depicted in Alzheimer’s disease. This is mainly due to the lack of cohorts with long enough MRI follow-ups in cognitively unimpaired young participants at baseline. To describe a spatiotemporal atrophy staging of Alzheimer’s disease at the whole-brain level, we built extrapolated lifetime volumetric models of healthy and Alzheimer’s disease brain structures by combining multiple large-scale databases (n = 3512 quality controlled MRI from 9 cohorts of subjects covering the entire lifespan, including 415 MRI from ADNI1, ADNI2 and AIBL for Alzheimer’s disease patients). Then, we validated dynamic models based on cross-sectional data using external longitudinal data. Finally, we assessed the sequential divergence between normal aging and Alzheimer’s disease volumetric trajectories and described the following staging of brain atrophy progression in Alzheimer’s disease: (i) hippocampus and amygdala; (ii) middle temporal gyrus; (iii) entorhinal cortex, parahippocampal cortex and other temporal areas; (iv) striatum and thalamus and (v) middle frontal, cingular, parietal, insular cortices and pallidum. We concluded that this MRI scheme of atrophy progression in Alzheimer’s disease was close but did not entirely overlap with Braak staging of tauopathy, with a ‘reverse chronology’ between limbic and entorhinal stages. Alzheimer’s disease structural progression may be associated with local tau accumulation but may also be related to axonal degeneration in remote sites and other limbic-predominant associated proteinopathies.
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spelling pubmed-91130862022-05-18 Structural progression of Alzheimer’s disease over decades: the MRI staging scheme Planche, Vincent Manjon, José V. Mansencal, Boris Lanuza, Enrique Tourdias, Thomas Catheline, Gwenaëlle Coupé, Pierrick Brain Commun Original Article The chronological progression of brain atrophy over decades, from pre-symptomatic to dementia stages, has never been formally depicted in Alzheimer’s disease. This is mainly due to the lack of cohorts with long enough MRI follow-ups in cognitively unimpaired young participants at baseline. To describe a spatiotemporal atrophy staging of Alzheimer’s disease at the whole-brain level, we built extrapolated lifetime volumetric models of healthy and Alzheimer’s disease brain structures by combining multiple large-scale databases (n = 3512 quality controlled MRI from 9 cohorts of subjects covering the entire lifespan, including 415 MRI from ADNI1, ADNI2 and AIBL for Alzheimer’s disease patients). Then, we validated dynamic models based on cross-sectional data using external longitudinal data. Finally, we assessed the sequential divergence between normal aging and Alzheimer’s disease volumetric trajectories and described the following staging of brain atrophy progression in Alzheimer’s disease: (i) hippocampus and amygdala; (ii) middle temporal gyrus; (iii) entorhinal cortex, parahippocampal cortex and other temporal areas; (iv) striatum and thalamus and (v) middle frontal, cingular, parietal, insular cortices and pallidum. We concluded that this MRI scheme of atrophy progression in Alzheimer’s disease was close but did not entirely overlap with Braak staging of tauopathy, with a ‘reverse chronology’ between limbic and entorhinal stages. Alzheimer’s disease structural progression may be associated with local tau accumulation but may also be related to axonal degeneration in remote sites and other limbic-predominant associated proteinopathies. Oxford University Press 2022-04-28 /pmc/articles/PMC9113086/ /pubmed/35592489 http://dx.doi.org/10.1093/braincomms/fcac109 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Planche, Vincent
Manjon, José V.
Mansencal, Boris
Lanuza, Enrique
Tourdias, Thomas
Catheline, Gwenaëlle
Coupé, Pierrick
Structural progression of Alzheimer’s disease over decades: the MRI staging scheme
title Structural progression of Alzheimer’s disease over decades: the MRI staging scheme
title_full Structural progression of Alzheimer’s disease over decades: the MRI staging scheme
title_fullStr Structural progression of Alzheimer’s disease over decades: the MRI staging scheme
title_full_unstemmed Structural progression of Alzheimer’s disease over decades: the MRI staging scheme
title_short Structural progression of Alzheimer’s disease over decades: the MRI staging scheme
title_sort structural progression of alzheimer’s disease over decades: the mri staging scheme
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113086/
https://www.ncbi.nlm.nih.gov/pubmed/35592489
http://dx.doi.org/10.1093/braincomms/fcac109
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