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Disentangling tau and brain atrophy cluster heterogeneity across the Alzheimer's disease continuum

INTRODUCTION: Neuroimaging heterogeneity in dementia has been examined using single modalities. We evaluated the associations of magnetic resonance imaging (MRI) atrophy and flortaucipir positron emission tomography (PET) clusters across the Alzheimer's disease (AD) spectrum. METHODS: We includ...

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Autores principales: Toledo, Jon B., Liu, Hangfan, Grothe, Michel J., Rashid, Tanweer, Launer, Lenore, Shaw, Leslie M., Snoussi, Haykel, Heckbert, Susan, Weiner, Michael, Trojanwoski, John Q., Seshadri, Sudha, Habes, Mohamad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127251/
https://www.ncbi.nlm.nih.gov/pubmed/35619830
http://dx.doi.org/10.1002/trc2.12305
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author Toledo, Jon B.
Liu, Hangfan
Grothe, Michel J.
Rashid, Tanweer
Launer, Lenore
Shaw, Leslie M.
Snoussi, Haykel
Heckbert, Susan
Weiner, Michael
Trojanwoski, John Q.
Seshadri, Sudha
Habes, Mohamad
author_facet Toledo, Jon B.
Liu, Hangfan
Grothe, Michel J.
Rashid, Tanweer
Launer, Lenore
Shaw, Leslie M.
Snoussi, Haykel
Heckbert, Susan
Weiner, Michael
Trojanwoski, John Q.
Seshadri, Sudha
Habes, Mohamad
author_sort Toledo, Jon B.
collection PubMed
description INTRODUCTION: Neuroimaging heterogeneity in dementia has been examined using single modalities. We evaluated the associations of magnetic resonance imaging (MRI) atrophy and flortaucipir positron emission tomography (PET) clusters across the Alzheimer's disease (AD) spectrum. METHODS: We included 496 Alzheimer's Disease Neuroimaging Initiative participants with brain MRI, flortaucipir PET scan, and amyloid beta biomarker measures obtained. We applied a novel robust collaborative clustering (RCC) approach on the MRI and flortaucipir PET scans. We derived indices for AD‐like (SPARE‐AD index) and brain age (SPARE‐BA) atrophy. RESULTS: We identified four tau (I–IV) and three atrophy clusters. Tau clusters were associated with the apolipoprotein E genotype. Atrophy clusters were associated with white matter hyperintensity volumes. Only the hippocampal sparing atrophy cluster showed a specific association with brain aging imaging index. Tau clusters presented stronger clinical associations than atrophy clusters. Tau and atrophy clusters were partially associated. CONCLUSIONS: Each neuroimaging modality captured different aspects of brain aging, genetics, vascular changes, and neurodegeneration leading to individual multimodal phenotyping.
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spelling pubmed-91272512022-05-25 Disentangling tau and brain atrophy cluster heterogeneity across the Alzheimer's disease continuum Toledo, Jon B. Liu, Hangfan Grothe, Michel J. Rashid, Tanweer Launer, Lenore Shaw, Leslie M. Snoussi, Haykel Heckbert, Susan Weiner, Michael Trojanwoski, John Q. Seshadri, Sudha Habes, Mohamad Alzheimers Dement (N Y) Research Articles INTRODUCTION: Neuroimaging heterogeneity in dementia has been examined using single modalities. We evaluated the associations of magnetic resonance imaging (MRI) atrophy and flortaucipir positron emission tomography (PET) clusters across the Alzheimer's disease (AD) spectrum. METHODS: We included 496 Alzheimer's Disease Neuroimaging Initiative participants with brain MRI, flortaucipir PET scan, and amyloid beta biomarker measures obtained. We applied a novel robust collaborative clustering (RCC) approach on the MRI and flortaucipir PET scans. We derived indices for AD‐like (SPARE‐AD index) and brain age (SPARE‐BA) atrophy. RESULTS: We identified four tau (I–IV) and three atrophy clusters. Tau clusters were associated with the apolipoprotein E genotype. Atrophy clusters were associated with white matter hyperintensity volumes. Only the hippocampal sparing atrophy cluster showed a specific association with brain aging imaging index. Tau clusters presented stronger clinical associations than atrophy clusters. Tau and atrophy clusters were partially associated. CONCLUSIONS: Each neuroimaging modality captured different aspects of brain aging, genetics, vascular changes, and neurodegeneration leading to individual multimodal phenotyping. John Wiley and Sons Inc. 2022-05-23 /pmc/articles/PMC9127251/ /pubmed/35619830 http://dx.doi.org/10.1002/trc2.12305 Text en © 2022 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Toledo, Jon B.
Liu, Hangfan
Grothe, Michel J.
Rashid, Tanweer
Launer, Lenore
Shaw, Leslie M.
Snoussi, Haykel
Heckbert, Susan
Weiner, Michael
Trojanwoski, John Q.
Seshadri, Sudha
Habes, Mohamad
Disentangling tau and brain atrophy cluster heterogeneity across the Alzheimer's disease continuum
title Disentangling tau and brain atrophy cluster heterogeneity across the Alzheimer's disease continuum
title_full Disentangling tau and brain atrophy cluster heterogeneity across the Alzheimer's disease continuum
title_fullStr Disentangling tau and brain atrophy cluster heterogeneity across the Alzheimer's disease continuum
title_full_unstemmed Disentangling tau and brain atrophy cluster heterogeneity across the Alzheimer's disease continuum
title_short Disentangling tau and brain atrophy cluster heterogeneity across the Alzheimer's disease continuum
title_sort disentangling tau and brain atrophy cluster heterogeneity across the alzheimer's disease continuum
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127251/
https://www.ncbi.nlm.nih.gov/pubmed/35619830
http://dx.doi.org/10.1002/trc2.12305
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