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The variability of functional MRI brain signal increases in Alzheimer's disease at cardiorespiratory frequencies

Biomarkers sensitive to prodromal or early pathophysiological changes in Alzheimer’s disease (AD) symptoms could improve disease detection and enable timely interventions. Changes in brain hemodynamics may be associated with the main clinical AD symptoms. To test this possibility, we measured the va...

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Autores principales: Tuovinen, Timo, Kananen, Janne, Rajna, Zalan, Lieslehto, Johannes, Korhonen, Vesa, Rytty, Riikka, Mattila, Heli, Huotari, Niko, Raitamaa, Lauri, Helakari, Heta, Elseoud, Ahmed Abou, Krüger, Johanna, LeVan, Pierre, Tervonen, Osmo, Hennig, Juergen, Remes, Anne M., Nedergaard, Maiken, Kiviniemi, Vesa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726142/
https://www.ncbi.nlm.nih.gov/pubmed/33298996
http://dx.doi.org/10.1038/s41598-020-77984-1
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author Tuovinen, Timo
Kananen, Janne
Rajna, Zalan
Lieslehto, Johannes
Korhonen, Vesa
Rytty, Riikka
Mattila, Heli
Huotari, Niko
Raitamaa, Lauri
Helakari, Heta
Elseoud, Ahmed Abou
Krüger, Johanna
LeVan, Pierre
Tervonen, Osmo
Hennig, Juergen
Remes, Anne M.
Nedergaard, Maiken
Kiviniemi, Vesa
author_facet Tuovinen, Timo
Kananen, Janne
Rajna, Zalan
Lieslehto, Johannes
Korhonen, Vesa
Rytty, Riikka
Mattila, Heli
Huotari, Niko
Raitamaa, Lauri
Helakari, Heta
Elseoud, Ahmed Abou
Krüger, Johanna
LeVan, Pierre
Tervonen, Osmo
Hennig, Juergen
Remes, Anne M.
Nedergaard, Maiken
Kiviniemi, Vesa
author_sort Tuovinen, Timo
collection PubMed
description Biomarkers sensitive to prodromal or early pathophysiological changes in Alzheimer’s disease (AD) symptoms could improve disease detection and enable timely interventions. Changes in brain hemodynamics may be associated with the main clinical AD symptoms. To test this possibility, we measured the variability of blood oxygen level-dependent (BOLD) signal in individuals from three independent datasets (totaling 80 AD patients and 90 controls). We detected a replicable increase in brain BOLD signal variability in the AD populations, which constituted a robust biomarker for clearly differentiating AD cases from controls. Fast BOLD scans showed that the elevated BOLD signal variability in AD arises mainly from cardiovascular brain pulsations. Manifesting in abnormal cerebral perfusion and cerebrospinal fluid convection, present observation presents a mechanism explaining earlier observations of impaired glymphatic clearance associated with AD in humans.
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spelling pubmed-77261422020-12-14 The variability of functional MRI brain signal increases in Alzheimer's disease at cardiorespiratory frequencies Tuovinen, Timo Kananen, Janne Rajna, Zalan Lieslehto, Johannes Korhonen, Vesa Rytty, Riikka Mattila, Heli Huotari, Niko Raitamaa, Lauri Helakari, Heta Elseoud, Ahmed Abou Krüger, Johanna LeVan, Pierre Tervonen, Osmo Hennig, Juergen Remes, Anne M. Nedergaard, Maiken Kiviniemi, Vesa Sci Rep Article Biomarkers sensitive to prodromal or early pathophysiological changes in Alzheimer’s disease (AD) symptoms could improve disease detection and enable timely interventions. Changes in brain hemodynamics may be associated with the main clinical AD symptoms. To test this possibility, we measured the variability of blood oxygen level-dependent (BOLD) signal in individuals from three independent datasets (totaling 80 AD patients and 90 controls). We detected a replicable increase in brain BOLD signal variability in the AD populations, which constituted a robust biomarker for clearly differentiating AD cases from controls. Fast BOLD scans showed that the elevated BOLD signal variability in AD arises mainly from cardiovascular brain pulsations. Manifesting in abnormal cerebral perfusion and cerebrospinal fluid convection, present observation presents a mechanism explaining earlier observations of impaired glymphatic clearance associated with AD in humans. Nature Publishing Group UK 2020-12-09 /pmc/articles/PMC7726142/ /pubmed/33298996 http://dx.doi.org/10.1038/s41598-020-77984-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Tuovinen, Timo
Kananen, Janne
Rajna, Zalan
Lieslehto, Johannes
Korhonen, Vesa
Rytty, Riikka
Mattila, Heli
Huotari, Niko
Raitamaa, Lauri
Helakari, Heta
Elseoud, Ahmed Abou
Krüger, Johanna
LeVan, Pierre
Tervonen, Osmo
Hennig, Juergen
Remes, Anne M.
Nedergaard, Maiken
Kiviniemi, Vesa
The variability of functional MRI brain signal increases in Alzheimer's disease at cardiorespiratory frequencies
title The variability of functional MRI brain signal increases in Alzheimer's disease at cardiorespiratory frequencies
title_full The variability of functional MRI brain signal increases in Alzheimer's disease at cardiorespiratory frequencies
title_fullStr The variability of functional MRI brain signal increases in Alzheimer's disease at cardiorespiratory frequencies
title_full_unstemmed The variability of functional MRI brain signal increases in Alzheimer's disease at cardiorespiratory frequencies
title_short The variability of functional MRI brain signal increases in Alzheimer's disease at cardiorespiratory frequencies
title_sort variability of functional mri brain signal increases in alzheimer's disease at cardiorespiratory frequencies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726142/
https://www.ncbi.nlm.nih.gov/pubmed/33298996
http://dx.doi.org/10.1038/s41598-020-77984-1
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