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Topographical distribution of Aβ predicts progression to dementia in Aβ positive mild cognitive impairment
INTRODUCTION: Abnormal brain amyloid beta (Aβ) is typically assessed in vivo using global concentrations from cerebrospinal fluid and positron emission tomography (PET). However, it is unknown whether the assessment of the topographical distribution of Aβ pathology can provide additional information...
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/PMC7306519/ https://www.ncbi.nlm.nih.gov/pubmed/32582834 http://dx.doi.org/10.1002/dad2.12037 |
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author | Pascoal, Tharick A. Therriault, Joseph Mathotaarachchi, Sulantha Kang, Min Su Shin, Monica Benedet, Andrea L. Chamoun, Mira Tissot, Cecile Lussier, Firoza Mohaddes, Sara Soucy, Jean‐Paul Massarweh, Gassan Gauthier, Serge Rosa‐Neto, Pedro |
author_facet | Pascoal, Tharick A. Therriault, Joseph Mathotaarachchi, Sulantha Kang, Min Su Shin, Monica Benedet, Andrea L. Chamoun, Mira Tissot, Cecile Lussier, Firoza Mohaddes, Sara Soucy, Jean‐Paul Massarweh, Gassan Gauthier, Serge Rosa‐Neto, Pedro |
author_sort | Pascoal, Tharick A. |
collection | PubMed |
description | INTRODUCTION: Abnormal brain amyloid beta (Aβ) is typically assessed in vivo using global concentrations from cerebrospinal fluid and positron emission tomography (PET). However, it is unknown whether the assessment of the topographical distribution of Aβ pathology can provide additional information to identify, among global Aβ positive individuals, those destined for dementia. METHODS: We studied 260 amnestic mild cognitive impairment (MCI) subjects who were Aβ‐PET positive with [(18)F]florbetapir. Using [(18)F]florbetapir, we assessed the percentage of voxels sowing Aβ abnormality as well as the standardized uptake value ratio (SUVR) values across brain regions. Regressions tested the predictive effect of Aβ on progression to dementia over 2 years. RESULTS: Neither global nor regional [(18)F]florbetapir SUVR concentrations predicted progression to dementia. In contrast, the spatial extent of Aβ pathology in regions comprising the default mode network was highly associated with the development of dementia over 2 years. DISCUSSION: These results highlight that the regional distribution of Aβ abnormality may provide important complementary information at an individual level regarding the likelihood of Aβ positive MCI to progress to dementia. |
format | Online Article Text |
id | pubmed-7306519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73065192020-06-23 Topographical distribution of Aβ predicts progression to dementia in Aβ positive mild cognitive impairment Pascoal, Tharick A. Therriault, Joseph Mathotaarachchi, Sulantha Kang, Min Su Shin, Monica Benedet, Andrea L. Chamoun, Mira Tissot, Cecile Lussier, Firoza Mohaddes, Sara Soucy, Jean‐Paul Massarweh, Gassan Gauthier, Serge Rosa‐Neto, Pedro Alzheimers Dement (Amst) Neuroimaging INTRODUCTION: Abnormal brain amyloid beta (Aβ) is typically assessed in vivo using global concentrations from cerebrospinal fluid and positron emission tomography (PET). However, it is unknown whether the assessment of the topographical distribution of Aβ pathology can provide additional information to identify, among global Aβ positive individuals, those destined for dementia. METHODS: We studied 260 amnestic mild cognitive impairment (MCI) subjects who were Aβ‐PET positive with [(18)F]florbetapir. Using [(18)F]florbetapir, we assessed the percentage of voxels sowing Aβ abnormality as well as the standardized uptake value ratio (SUVR) values across brain regions. Regressions tested the predictive effect of Aβ on progression to dementia over 2 years. RESULTS: Neither global nor regional [(18)F]florbetapir SUVR concentrations predicted progression to dementia. In contrast, the spatial extent of Aβ pathology in regions comprising the default mode network was highly associated with the development of dementia over 2 years. DISCUSSION: These results highlight that the regional distribution of Aβ abnormality may provide important complementary information at an individual level regarding the likelihood of Aβ positive MCI to progress to dementia. John Wiley and Sons Inc. 2020-06-21 /pmc/articles/PMC7306519/ /pubmed/32582834 http://dx.doi.org/10.1002/dad2.12037 Text en © 2020 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, Inc. 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 | Neuroimaging Pascoal, Tharick A. Therriault, Joseph Mathotaarachchi, Sulantha Kang, Min Su Shin, Monica Benedet, Andrea L. Chamoun, Mira Tissot, Cecile Lussier, Firoza Mohaddes, Sara Soucy, Jean‐Paul Massarweh, Gassan Gauthier, Serge Rosa‐Neto, Pedro Topographical distribution of Aβ predicts progression to dementia in Aβ positive mild cognitive impairment |
title | Topographical distribution of Aβ predicts progression to dementia in Aβ positive mild cognitive impairment |
title_full | Topographical distribution of Aβ predicts progression to dementia in Aβ positive mild cognitive impairment |
title_fullStr | Topographical distribution of Aβ predicts progression to dementia in Aβ positive mild cognitive impairment |
title_full_unstemmed | Topographical distribution of Aβ predicts progression to dementia in Aβ positive mild cognitive impairment |
title_short | Topographical distribution of Aβ predicts progression to dementia in Aβ positive mild cognitive impairment |
title_sort | topographical distribution of aβ predicts progression to dementia in aβ positive mild cognitive impairment |
topic | Neuroimaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7306519/ https://www.ncbi.nlm.nih.gov/pubmed/32582834 http://dx.doi.org/10.1002/dad2.12037 |
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