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Alzheimer’s Disease Progressively Reduces Visual Functional Network Connectivity
BACKGROUND: Postmortem studies of brains with Alzheimer’s disease (AD) not only find amyloid-beta (Aβ) and neurofibrillary tangles (NFT) in the visual cortex, but also reveal temporally sequential changes in AD pathology from higher-order association areas to lower-order areas and then primary visua...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8385433/ https://www.ncbi.nlm.nih.gov/pubmed/34514338 http://dx.doi.org/10.3233/ADR-210017 |
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author | Huang, Jie Beach, Paul Bozoki, Andrea Zhu, David C. |
author_facet | Huang, Jie Beach, Paul Bozoki, Andrea Zhu, David C. |
author_sort | Huang, Jie |
collection | PubMed |
description | BACKGROUND: Postmortem studies of brains with Alzheimer’s disease (AD) not only find amyloid-beta (Aβ) and neurofibrillary tangles (NFT) in the visual cortex, but also reveal temporally sequential changes in AD pathology from higher-order association areas to lower-order areas and then primary visual area (V1) with disease progression. OBJECTIVE: This study investigated the effect of AD severity on visual functional network. METHODS: Eight severe AD (SAD) patients, 11 mild/moderate AD (MAD), and 26 healthy senior (HS) controls undertook a resting-state fMRI (rs-fMRI) and a task fMRI of viewing face photos. A resting-state visual functional connectivity (FC) network and a face-evoked visual-processing network were identified for each group. RESULTS: For the HS, the identified group-mean face-evoked visual-processing network in the ventral pathway started from V1 and ended within the fusiform gyrus. In contrast, the resting-state visual FC network was mainly confined within the visual cortex. AD disrupted these two functional networks in a similar severity dependent manner: the more severe the cognitive impairment, the greater reduction in network connectivity. For the face-evoked visual-processing network, MAD disrupted and reduced activation mainly in the higher-order visual association areas, with SAD further disrupting and reducing activation in the lower-order areas. CONCLUSION: These findings provide a functional corollary to the canonical view of the temporally sequential advancement of AD pathology through visual cortical areas. The association of the disruption of functional networks, especially the face-evoked visual-processing network, with AD severity suggests a potential predictor or biomarker of AD progression. |
format | Online Article Text |
id | pubmed-8385433 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | IOS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-83854332021-09-09 Alzheimer’s Disease Progressively Reduces Visual Functional Network Connectivity Huang, Jie Beach, Paul Bozoki, Andrea Zhu, David C. J Alzheimers Dis Rep Research Report BACKGROUND: Postmortem studies of brains with Alzheimer’s disease (AD) not only find amyloid-beta (Aβ) and neurofibrillary tangles (NFT) in the visual cortex, but also reveal temporally sequential changes in AD pathology from higher-order association areas to lower-order areas and then primary visual area (V1) with disease progression. OBJECTIVE: This study investigated the effect of AD severity on visual functional network. METHODS: Eight severe AD (SAD) patients, 11 mild/moderate AD (MAD), and 26 healthy senior (HS) controls undertook a resting-state fMRI (rs-fMRI) and a task fMRI of viewing face photos. A resting-state visual functional connectivity (FC) network and a face-evoked visual-processing network were identified for each group. RESULTS: For the HS, the identified group-mean face-evoked visual-processing network in the ventral pathway started from V1 and ended within the fusiform gyrus. In contrast, the resting-state visual FC network was mainly confined within the visual cortex. AD disrupted these two functional networks in a similar severity dependent manner: the more severe the cognitive impairment, the greater reduction in network connectivity. For the face-evoked visual-processing network, MAD disrupted and reduced activation mainly in the higher-order visual association areas, with SAD further disrupting and reducing activation in the lower-order areas. CONCLUSION: These findings provide a functional corollary to the canonical view of the temporally sequential advancement of AD pathology through visual cortical areas. The association of the disruption of functional networks, especially the face-evoked visual-processing network, with AD severity suggests a potential predictor or biomarker of AD progression. IOS Press 2021-07-08 /pmc/articles/PMC8385433/ /pubmed/34514338 http://dx.doi.org/10.3233/ADR-210017 Text en © 2021 – The authors. Published by IOS Press https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Report Huang, Jie Beach, Paul Bozoki, Andrea Zhu, David C. Alzheimer’s Disease Progressively Reduces Visual Functional Network Connectivity |
title | Alzheimer’s Disease Progressively Reduces Visual Functional Network Connectivity |
title_full | Alzheimer’s Disease Progressively Reduces Visual Functional Network Connectivity |
title_fullStr | Alzheimer’s Disease Progressively Reduces Visual Functional Network Connectivity |
title_full_unstemmed | Alzheimer’s Disease Progressively Reduces Visual Functional Network Connectivity |
title_short | Alzheimer’s Disease Progressively Reduces Visual Functional Network Connectivity |
title_sort | alzheimer’s disease progressively reduces visual functional network connectivity |
topic | Research Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8385433/ https://www.ncbi.nlm.nih.gov/pubmed/34514338 http://dx.doi.org/10.3233/ADR-210017 |
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