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Neurophysiological trajectories in Alzheimer’s disease progression

Alzheimer’s disease (AD) is characterized by the accumulation of amyloid- [Formula: see text] and misfolded tau proteins causing synaptic dysfunction and progressive neurodegeneration and cognitive decline. Altered neural oscillations have been consistently demonstrated in AD. However, the trajector...

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Autores principales: Kudo, Kiwamu, Ranasinghe, Kamalini G., Morise, Hirofumi, Syed, Faatimah, Sekihara, Kensuke, Rankin, Katherine P., Miller, Bruce L., Kramer, Joel H., Rabinovici, Gil D., Vossel, Keith, Kirsch, Heidi E., Nagarajan, Srikantan S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245777/
https://www.ncbi.nlm.nih.gov/pubmed/37293044
http://dx.doi.org/10.1101/2023.05.18.541379
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author Kudo, Kiwamu
Ranasinghe, Kamalini G.
Morise, Hirofumi
Syed, Faatimah
Sekihara, Kensuke
Rankin, Katherine P.
Miller, Bruce L.
Kramer, Joel H.
Rabinovici, Gil D.
Vossel, Keith
Kirsch, Heidi E.
Nagarajan, Srikantan S.
author_facet Kudo, Kiwamu
Ranasinghe, Kamalini G.
Morise, Hirofumi
Syed, Faatimah
Sekihara, Kensuke
Rankin, Katherine P.
Miller, Bruce L.
Kramer, Joel H.
Rabinovici, Gil D.
Vossel, Keith
Kirsch, Heidi E.
Nagarajan, Srikantan S.
author_sort Kudo, Kiwamu
collection PubMed
description Alzheimer’s disease (AD) is characterized by the accumulation of amyloid- [Formula: see text] and misfolded tau proteins causing synaptic dysfunction and progressive neurodegeneration and cognitive decline. Altered neural oscillations have been consistently demonstrated in AD. However, the trajectories of abnormal neural oscillations in AD progression and their relationship to neurodegeneration and cognitive decline are unknown. Here, we deployed robust event-based sequencing models (EBMs) to investigate the trajectories of long-range and local neural synchrony across AD stages, estimated from resting-state magnetoencephalography. Increases in neural synchrony in the delta-theta band and decreases in the alpha and beta bands showed progressive changes along the EBM stages. Decreases in alpha and beta-band synchrony preceded both neurodegeneration and cognitive decline, indicating that frequency-specific neuronal synchrony abnormalities are early manifestations of AD pathophysiology. The long-range synchrony effects were greater than the local synchrony, indicating a greater sensitivity of connectivity metrics involving multiple regions of the brain. These results demonstrate the evolution of functional neuronal deficits along the sequence of AD progression.
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spelling pubmed-102457772023-11-14 Neurophysiological trajectories in Alzheimer’s disease progression Kudo, Kiwamu Ranasinghe, Kamalini G. Morise, Hirofumi Syed, Faatimah Sekihara, Kensuke Rankin, Katherine P. Miller, Bruce L. Kramer, Joel H. Rabinovici, Gil D. Vossel, Keith Kirsch, Heidi E. Nagarajan, Srikantan S. bioRxiv Article Alzheimer’s disease (AD) is characterized by the accumulation of amyloid- [Formula: see text] and misfolded tau proteins causing synaptic dysfunction and progressive neurodegeneration and cognitive decline. Altered neural oscillations have been consistently demonstrated in AD. However, the trajectories of abnormal neural oscillations in AD progression and their relationship to neurodegeneration and cognitive decline are unknown. Here, we deployed robust event-based sequencing models (EBMs) to investigate the trajectories of long-range and local neural synchrony across AD stages, estimated from resting-state magnetoencephalography. Increases in neural synchrony in the delta-theta band and decreases in the alpha and beta bands showed progressive changes along the EBM stages. Decreases in alpha and beta-band synchrony preceded both neurodegeneration and cognitive decline, indicating that frequency-specific neuronal synchrony abnormalities are early manifestations of AD pathophysiology. The long-range synchrony effects were greater than the local synchrony, indicating a greater sensitivity of connectivity metrics involving multiple regions of the brain. These results demonstrate the evolution of functional neuronal deficits along the sequence of AD progression. Cold Spring Harbor Laboratory 2023-11-09 /pmc/articles/PMC10245777/ /pubmed/37293044 http://dx.doi.org/10.1101/2023.05.18.541379 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Kudo, Kiwamu
Ranasinghe, Kamalini G.
Morise, Hirofumi
Syed, Faatimah
Sekihara, Kensuke
Rankin, Katherine P.
Miller, Bruce L.
Kramer, Joel H.
Rabinovici, Gil D.
Vossel, Keith
Kirsch, Heidi E.
Nagarajan, Srikantan S.
Neurophysiological trajectories in Alzheimer’s disease progression
title Neurophysiological trajectories in Alzheimer’s disease progression
title_full Neurophysiological trajectories in Alzheimer’s disease progression
title_fullStr Neurophysiological trajectories in Alzheimer’s disease progression
title_full_unstemmed Neurophysiological trajectories in Alzheimer’s disease progression
title_short Neurophysiological trajectories in Alzheimer’s disease progression
title_sort neurophysiological trajectories in alzheimer’s disease progression
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245777/
https://www.ncbi.nlm.nih.gov/pubmed/37293044
http://dx.doi.org/10.1101/2023.05.18.541379
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