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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
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.
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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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