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The relationship between Alzheimer's‐related brain atrophy patterns and sleep macro‐architecture

INTRODUCTION: Sleep is increasingly recognized as a major risk factor for neurodegenerative disorders such as Alzheimer's disease (AD). METHODS: Using an magnetic resonance imaging (MRI)–based AD score based on clinical data from the Alzheimer's Disease Neuroimaging Initiative 1 (ADNI1) ca...

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Autores principales: Weihs, Antoine, Frenzel, Stefan, Garvert, Linda, Kühn, Luise, Wittfeld, Katharina, Ewert, Ralf, Fietze, Ingo, Penzel, Thomas, Stubbe, Beate, Szentkirályi, András, Wulms, Niklas, Völzke, Henry, Grabe, Hans J.
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/PMC9652484/
https://www.ncbi.nlm.nih.gov/pubmed/36381559
http://dx.doi.org/10.1002/dad2.12371
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author Weihs, Antoine
Frenzel, Stefan
Garvert, Linda
Kühn, Luise
Wittfeld, Katharina
Ewert, Ralf
Fietze, Ingo
Penzel, Thomas
Stubbe, Beate
Szentkirályi, András
Wulms, Niklas
Völzke, Henry
Grabe, Hans J.
author_facet Weihs, Antoine
Frenzel, Stefan
Garvert, Linda
Kühn, Luise
Wittfeld, Katharina
Ewert, Ralf
Fietze, Ingo
Penzel, Thomas
Stubbe, Beate
Szentkirályi, András
Wulms, Niklas
Völzke, Henry
Grabe, Hans J.
author_sort Weihs, Antoine
collection PubMed
description INTRODUCTION: Sleep is increasingly recognized as a major risk factor for neurodegenerative disorders such as Alzheimer's disease (AD). METHODS: Using an magnetic resonance imaging (MRI)–based AD score based on clinical data from the Alzheimer's Disease Neuroimaging Initiative 1 (ADNI1) case‐control cohort, we investigated the associations between polysomnography‐based sleep macro‐architecture and AD‐related brain atrophy patterns in 712 pre‐symptomatic, healthy subjects from the population‐based Study of Health in Pomerania. RESULTS: We identified a robust inverse association between slow‐wave sleep and the AD marker (estimate: −0.019; 95% confidence interval: −0.03 to −0.0076; false discovery rate [FDR] = 0.0041), as well as with gray matter (GM) thicknesses in typical individual cortical AD‐signature regions. No effects were identified regarding rapid eye movement or non–rapid eye movement (NREM) stage 2 sleep, and NREM stage 1 was positively associated with GM thickness, mainly in the prefrontal cortical regions. DISCUSSION: There is a cross‐sectional relationship between AD‐related neurodegenerative patterns and the proportion of sleep spent in slow‐wave sleep.
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spelling pubmed-96524842022-11-14 The relationship between Alzheimer's‐related brain atrophy patterns and sleep macro‐architecture Weihs, Antoine Frenzel, Stefan Garvert, Linda Kühn, Luise Wittfeld, Katharina Ewert, Ralf Fietze, Ingo Penzel, Thomas Stubbe, Beate Szentkirályi, András Wulms, Niklas Völzke, Henry Grabe, Hans J. Alzheimers Dement (Amst) Research Articles INTRODUCTION: Sleep is increasingly recognized as a major risk factor for neurodegenerative disorders such as Alzheimer's disease (AD). METHODS: Using an magnetic resonance imaging (MRI)–based AD score based on clinical data from the Alzheimer's Disease Neuroimaging Initiative 1 (ADNI1) case‐control cohort, we investigated the associations between polysomnography‐based sleep macro‐architecture and AD‐related brain atrophy patterns in 712 pre‐symptomatic, healthy subjects from the population‐based Study of Health in Pomerania. RESULTS: We identified a robust inverse association between slow‐wave sleep and the AD marker (estimate: −0.019; 95% confidence interval: −0.03 to −0.0076; false discovery rate [FDR] = 0.0041), as well as with gray matter (GM) thicknesses in typical individual cortical AD‐signature regions. No effects were identified regarding rapid eye movement or non–rapid eye movement (NREM) stage 2 sleep, and NREM stage 1 was positively associated with GM thickness, mainly in the prefrontal cortical regions. DISCUSSION: There is a cross‐sectional relationship between AD‐related neurodegenerative patterns and the proportion of sleep spent in slow‐wave sleep. John Wiley and Sons Inc. 2022-11-11 /pmc/articles/PMC9652484/ /pubmed/36381559 http://dx.doi.org/10.1002/dad2.12371 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
Weihs, Antoine
Frenzel, Stefan
Garvert, Linda
Kühn, Luise
Wittfeld, Katharina
Ewert, Ralf
Fietze, Ingo
Penzel, Thomas
Stubbe, Beate
Szentkirályi, András
Wulms, Niklas
Völzke, Henry
Grabe, Hans J.
The relationship between Alzheimer's‐related brain atrophy patterns and sleep macro‐architecture
title The relationship between Alzheimer's‐related brain atrophy patterns and sleep macro‐architecture
title_full The relationship between Alzheimer's‐related brain atrophy patterns and sleep macro‐architecture
title_fullStr The relationship between Alzheimer's‐related brain atrophy patterns and sleep macro‐architecture
title_full_unstemmed The relationship between Alzheimer's‐related brain atrophy patterns and sleep macro‐architecture
title_short The relationship between Alzheimer's‐related brain atrophy patterns and sleep macro‐architecture
title_sort relationship between alzheimer's‐related brain atrophy patterns and sleep macro‐architecture
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652484/
https://www.ncbi.nlm.nih.gov/pubmed/36381559
http://dx.doi.org/10.1002/dad2.12371
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