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Dynamic network model reveals distinct tau spreading patterns in early- and late-onset Alzheimer disease

BACKGROUND: The clinical features of Alzheimer’s disease (AD) vary substantially depending on whether the onset of cognitive deficits is early or late. The amount and distribution patterns of tau pathology are thought to play a key role in the clinical characteristics of AD, which spreads throughout...

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Autores principales: Lee, Wha Jin, Cho, Hanna, Baek, Min Seok, Kim, Han-Kyeol, Lee, Jae Hoon, Ryu, Young Hoon, Lyoo, Chul Hyoung, Seong, Joon-Kyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438183/
https://www.ncbi.nlm.nih.gov/pubmed/36056405
http://dx.doi.org/10.1186/s13195-022-01061-0
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author Lee, Wha Jin
Cho, Hanna
Baek, Min Seok
Kim, Han-Kyeol
Lee, Jae Hoon
Ryu, Young Hoon
Lyoo, Chul Hyoung
Seong, Joon-Kyung
author_facet Lee, Wha Jin
Cho, Hanna
Baek, Min Seok
Kim, Han-Kyeol
Lee, Jae Hoon
Ryu, Young Hoon
Lyoo, Chul Hyoung
Seong, Joon-Kyung
author_sort Lee, Wha Jin
collection PubMed
description BACKGROUND: The clinical features of Alzheimer’s disease (AD) vary substantially depending on whether the onset of cognitive deficits is early or late. The amount and distribution patterns of tau pathology are thought to play a key role in the clinical characteristics of AD, which spreads throughout the large-scale brain network. Here, we describe the differences between tau-spreading processes in early- and late-onset symptomatic individuals on the AD spectrum. METHODS: We divided 74 cognitively unimpaired (CU) and 68 cognitively impaired (CI) patients receiving (18)F-flortaucipir positron emission tomography scans into two groups by age and age at onset. Members of each group were arranged in a pseudo-longitudinal order based on baseline tau pathology severity, and potential interregional tau-spreading pathways were defined following the order using longitudinal tau uptake. We detected a multilayer community structure through consecutive tau-spreading networks to identify spatio-temporal changes in the propagation hubs. RESULTS: In each group, ordered tau-spreading networks revealed the stage-dependent dynamics of tau propagation, supporting distinct tau accumulation patterns. In the young CU/early-onset CI group, tau appears to spread through a combination of three independent communities with partially overlapped territories, whose specific driving regions were the basal temporal regions, left medial and lateral temporal regions, and left parietal regions. For the old CU/late-onset CI group, however, continuation of major communities occurs in line with the appearance of hub regions in the order of bilateral entorhinal cortices, parahippocampal and fusiform gyri, and lateral temporal regions. CONCLUSION: Longitudinal tau propagation depicts distinct spreading pathways of the early- and late-onset AD spectrum characterized by the specific location and appearance period of several hub regions that dominantly provide tau. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-022-01061-0.
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spelling pubmed-94381832022-09-03 Dynamic network model reveals distinct tau spreading patterns in early- and late-onset Alzheimer disease Lee, Wha Jin Cho, Hanna Baek, Min Seok Kim, Han-Kyeol Lee, Jae Hoon Ryu, Young Hoon Lyoo, Chul Hyoung Seong, Joon-Kyung Alzheimers Res Ther Research BACKGROUND: The clinical features of Alzheimer’s disease (AD) vary substantially depending on whether the onset of cognitive deficits is early or late. The amount and distribution patterns of tau pathology are thought to play a key role in the clinical characteristics of AD, which spreads throughout the large-scale brain network. Here, we describe the differences between tau-spreading processes in early- and late-onset symptomatic individuals on the AD spectrum. METHODS: We divided 74 cognitively unimpaired (CU) and 68 cognitively impaired (CI) patients receiving (18)F-flortaucipir positron emission tomography scans into two groups by age and age at onset. Members of each group were arranged in a pseudo-longitudinal order based on baseline tau pathology severity, and potential interregional tau-spreading pathways were defined following the order using longitudinal tau uptake. We detected a multilayer community structure through consecutive tau-spreading networks to identify spatio-temporal changes in the propagation hubs. RESULTS: In each group, ordered tau-spreading networks revealed the stage-dependent dynamics of tau propagation, supporting distinct tau accumulation patterns. In the young CU/early-onset CI group, tau appears to spread through a combination of three independent communities with partially overlapped territories, whose specific driving regions were the basal temporal regions, left medial and lateral temporal regions, and left parietal regions. For the old CU/late-onset CI group, however, continuation of major communities occurs in line with the appearance of hub regions in the order of bilateral entorhinal cortices, parahippocampal and fusiform gyri, and lateral temporal regions. CONCLUSION: Longitudinal tau propagation depicts distinct spreading pathways of the early- and late-onset AD spectrum characterized by the specific location and appearance period of several hub regions that dominantly provide tau. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-022-01061-0. BioMed Central 2022-09-02 /pmc/articles/PMC9438183/ /pubmed/36056405 http://dx.doi.org/10.1186/s13195-022-01061-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lee, Wha Jin
Cho, Hanna
Baek, Min Seok
Kim, Han-Kyeol
Lee, Jae Hoon
Ryu, Young Hoon
Lyoo, Chul Hyoung
Seong, Joon-Kyung
Dynamic network model reveals distinct tau spreading patterns in early- and late-onset Alzheimer disease
title Dynamic network model reveals distinct tau spreading patterns in early- and late-onset Alzheimer disease
title_full Dynamic network model reveals distinct tau spreading patterns in early- and late-onset Alzheimer disease
title_fullStr Dynamic network model reveals distinct tau spreading patterns in early- and late-onset Alzheimer disease
title_full_unstemmed Dynamic network model reveals distinct tau spreading patterns in early- and late-onset Alzheimer disease
title_short Dynamic network model reveals distinct tau spreading patterns in early- and late-onset Alzheimer disease
title_sort dynamic network model reveals distinct tau spreading patterns in early- and late-onset alzheimer disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438183/
https://www.ncbi.nlm.nih.gov/pubmed/36056405
http://dx.doi.org/10.1186/s13195-022-01061-0
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