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Brain connectivity during Alzheimer’s disease progression and its cognitive impact in a transgenic rat model
The research of Alzheimer’s disease (AD) in its early stages and its progression till symptomatic onset is essential to understand the pathology and investigate new treatments. Animal models provide a helpful approach to this research, since they allow for controlled follow-up during the disease evo...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MIT Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7286303/ https://www.ncbi.nlm.nih.gov/pubmed/32537533 http://dx.doi.org/10.1162/netn_a_00126 |
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author | Muñoz-Moreno, Emma Tudela, Raúl López-Gil, Xavier Soria, Guadalupe |
author_facet | Muñoz-Moreno, Emma Tudela, Raúl López-Gil, Xavier Soria, Guadalupe |
author_sort | Muñoz-Moreno, Emma |
collection | PubMed |
description | The research of Alzheimer’s disease (AD) in its early stages and its progression till symptomatic onset is essential to understand the pathology and investigate new treatments. Animal models provide a helpful approach to this research, since they allow for controlled follow-up during the disease evolution. In this work, transgenic TgF344-AD rats were longitudinally evaluated starting at 6 months of age. Every 3 months, cognitive abilities were assessed by a memory-related task and magnetic resonance imaging (MRI) was acquired. Structural and functional brain networks were estimated and characterized by graph metrics to identify differences between the groups in connectivity, its evolution with age, and its influence on cognition. Structural networks of transgenic animals were altered since the earliest stage. Likewise, aging significantly affected network metrics in TgF344-AD, but not in the control group. In addition, while the structural brain network influenced cognitive outcome in transgenic animals, functional network impacted how control subjects performed. TgF344-AD brain network alterations were present from very early stages, difficult to identify in clinical research. Likewise, the characterization of aging in these animals, involving structural network reorganization and its effects on cognition, opens a window to evaluate new treatments for the disease. |
format | Online Article Text |
id | pubmed-7286303 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MIT Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-72863032020-06-11 Brain connectivity during Alzheimer’s disease progression and its cognitive impact in a transgenic rat model Muñoz-Moreno, Emma Tudela, Raúl López-Gil, Xavier Soria, Guadalupe Netw Neurosci Research Articles The research of Alzheimer’s disease (AD) in its early stages and its progression till symptomatic onset is essential to understand the pathology and investigate new treatments. Animal models provide a helpful approach to this research, since they allow for controlled follow-up during the disease evolution. In this work, transgenic TgF344-AD rats were longitudinally evaluated starting at 6 months of age. Every 3 months, cognitive abilities were assessed by a memory-related task and magnetic resonance imaging (MRI) was acquired. Structural and functional brain networks were estimated and characterized by graph metrics to identify differences between the groups in connectivity, its evolution with age, and its influence on cognition. Structural networks of transgenic animals were altered since the earliest stage. Likewise, aging significantly affected network metrics in TgF344-AD, but not in the control group. In addition, while the structural brain network influenced cognitive outcome in transgenic animals, functional network impacted how control subjects performed. TgF344-AD brain network alterations were present from very early stages, difficult to identify in clinical research. Likewise, the characterization of aging in these animals, involving structural network reorganization and its effects on cognition, opens a window to evaluate new treatments for the disease. MIT Press 2020-04-01 /pmc/articles/PMC7286303/ /pubmed/32537533 http://dx.doi.org/10.1162/netn_a_00126 Text en © 2020 Massachusetts Institute of Technology This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode. |
spellingShingle | Research Articles Muñoz-Moreno, Emma Tudela, Raúl López-Gil, Xavier Soria, Guadalupe Brain connectivity during Alzheimer’s disease progression and its cognitive impact in a transgenic rat model |
title | Brain connectivity during Alzheimer’s disease progression and its cognitive impact in a transgenic rat model |
title_full | Brain connectivity during Alzheimer’s disease progression and its cognitive impact in a transgenic rat model |
title_fullStr | Brain connectivity during Alzheimer’s disease progression and its cognitive impact in a transgenic rat model |
title_full_unstemmed | Brain connectivity during Alzheimer’s disease progression and its cognitive impact in a transgenic rat model |
title_short | Brain connectivity during Alzheimer’s disease progression and its cognitive impact in a transgenic rat model |
title_sort | brain connectivity during alzheimer’s disease progression and its cognitive impact in a transgenic rat model |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7286303/ https://www.ncbi.nlm.nih.gov/pubmed/32537533 http://dx.doi.org/10.1162/netn_a_00126 |
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