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Brain amyloid and the transition to dementia in Down syndrome
INTRODUCTION: Down syndrome (DS) is associated with elevated risk for Alzheimer's disease (AD) due to amyloid beta (Aβ) lifelong accumulation. We hypothesized that the spatial distribution of brain Aβ predicts future dementia conversion in individuals with DS. METHODS: We acquired (18)F‐florbet...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7656170/ https://www.ncbi.nlm.nih.gov/pubmed/33204814 http://dx.doi.org/10.1002/dad2.12126 |
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author | Keator, David B. Doran, Eric Taylor, Lisa Phelan, Michael J. Hom, Christy Tseung, Katherine van Erp, Theo G. M. Potkin, Steven G. Brickman, Adam M. Rosas, Diana H. Yassa, Michael A. Silverman, Wayne Lott, Ira T. |
author_facet | Keator, David B. Doran, Eric Taylor, Lisa Phelan, Michael J. Hom, Christy Tseung, Katherine van Erp, Theo G. M. Potkin, Steven G. Brickman, Adam M. Rosas, Diana H. Yassa, Michael A. Silverman, Wayne Lott, Ira T. |
author_sort | Keator, David B. |
collection | PubMed |
description | INTRODUCTION: Down syndrome (DS) is associated with elevated risk for Alzheimer's disease (AD) due to amyloid beta (Aβ) lifelong accumulation. We hypothesized that the spatial distribution of brain Aβ predicts future dementia conversion in individuals with DS. METHODS: We acquired (18)F‐florbetapir positron emission tomography scans from 19 nondemented individuals with DS at baseline and monitored them for 4 years, with five individuals transitioning to dementia. Machine learning classification using an independent test set determined features on (18)F‐florbetapir standardized uptake value ratio maps that predicted transition. RESULTS: In addition to “AD signature” regions including the inferior parietal cortex, temporal lobes, and the cingulum, we found that Aβ cortical binding in the prefrontal and superior frontal cortices distinguished subjects who transitioned to dementia. Classification did well in predicting transitioners. DISCUSSION: Our study suggests that specific regional profiles of brain amyloid in older adults with DS may predict cognitive decline and are informative in evaluating the risk for dementia. |
format | Online Article Text |
id | pubmed-7656170 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76561702020-11-16 Brain amyloid and the transition to dementia in Down syndrome Keator, David B. Doran, Eric Taylor, Lisa Phelan, Michael J. Hom, Christy Tseung, Katherine van Erp, Theo G. M. Potkin, Steven G. Brickman, Adam M. Rosas, Diana H. Yassa, Michael A. Silverman, Wayne Lott, Ira T. Alzheimers Dement (Amst) Article INTRODUCTION: Down syndrome (DS) is associated with elevated risk for Alzheimer's disease (AD) due to amyloid beta (Aβ) lifelong accumulation. We hypothesized that the spatial distribution of brain Aβ predicts future dementia conversion in individuals with DS. METHODS: We acquired (18)F‐florbetapir positron emission tomography scans from 19 nondemented individuals with DS at baseline and monitored them for 4 years, with five individuals transitioning to dementia. Machine learning classification using an independent test set determined features on (18)F‐florbetapir standardized uptake value ratio maps that predicted transition. RESULTS: In addition to “AD signature” regions including the inferior parietal cortex, temporal lobes, and the cingulum, we found that Aβ cortical binding in the prefrontal and superior frontal cortices distinguished subjects who transitioned to dementia. Classification did well in predicting transitioners. DISCUSSION: Our study suggests that specific regional profiles of brain amyloid in older adults with DS may predict cognitive decline and are informative in evaluating the risk for dementia. John Wiley and Sons Inc. 2020-11-11 /pmc/articles/PMC7656170/ /pubmed/33204814 http://dx.doi.org/10.1002/dad2.12126 Text en © 2020 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Article Keator, David B. Doran, Eric Taylor, Lisa Phelan, Michael J. Hom, Christy Tseung, Katherine van Erp, Theo G. M. Potkin, Steven G. Brickman, Adam M. Rosas, Diana H. Yassa, Michael A. Silverman, Wayne Lott, Ira T. Brain amyloid and the transition to dementia in Down syndrome |
title | Brain amyloid and the transition to dementia in Down syndrome |
title_full | Brain amyloid and the transition to dementia in Down syndrome |
title_fullStr | Brain amyloid and the transition to dementia in Down syndrome |
title_full_unstemmed | Brain amyloid and the transition to dementia in Down syndrome |
title_short | Brain amyloid and the transition to dementia in Down syndrome |
title_sort | brain amyloid and the transition to dementia in down syndrome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7656170/ https://www.ncbi.nlm.nih.gov/pubmed/33204814 http://dx.doi.org/10.1002/dad2.12126 |
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