Cargando…
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...
Autores principales: | , , , , , , , , , , , |
---|---|
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 |
_version_ | 1785145907044417536 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10245777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT kudokiwamu neurophysiologicaltrajectoriesinalzheimersdiseaseprogression AT ranasinghekamalinig neurophysiologicaltrajectoriesinalzheimersdiseaseprogression AT morisehirofumi neurophysiologicaltrajectoriesinalzheimersdiseaseprogression AT syedfaatimah neurophysiologicaltrajectoriesinalzheimersdiseaseprogression AT sekiharakensuke neurophysiologicaltrajectoriesinalzheimersdiseaseprogression AT rankinkatherinep neurophysiologicaltrajectoriesinalzheimersdiseaseprogression AT millerbrucel neurophysiologicaltrajectoriesinalzheimersdiseaseprogression AT kramerjoelh neurophysiologicaltrajectoriesinalzheimersdiseaseprogression AT rabinovicigild neurophysiologicaltrajectoriesinalzheimersdiseaseprogression AT vosselkeith neurophysiologicaltrajectoriesinalzheimersdiseaseprogression AT kirschheidie neurophysiologicaltrajectoriesinalzheimersdiseaseprogression AT nagarajansrikantans neurophysiologicaltrajectoriesinalzheimersdiseaseprogression |