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Characteristics of Neural Network Changes in Normal Aging and Early Dementia
To understand the mechanisms underlying preserved and impaired cognitive function in healthy aging and dementia, respectively, the spatial relationships of brain networks and mechanisms of their resilience should be understood. The hub regions of the brain, such as the multisensory integration and d...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8646086/ https://www.ncbi.nlm.nih.gov/pubmed/34880745 http://dx.doi.org/10.3389/fnagi.2021.747359 |
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author | Watanabe, Hirohisa Bagarinao, Epifanio Maesawa, Satoshi Hara, Kazuhiro Kawabata, Kazuya Ogura, Aya Ohdake, Reiko Shima, Sayuri Mizutani, Yasuaki Ueda, Akihiro Ito, Mizuki Katsuno, Masahisa Sobue, Gen |
author_facet | Watanabe, Hirohisa Bagarinao, Epifanio Maesawa, Satoshi Hara, Kazuhiro Kawabata, Kazuya Ogura, Aya Ohdake, Reiko Shima, Sayuri Mizutani, Yasuaki Ueda, Akihiro Ito, Mizuki Katsuno, Masahisa Sobue, Gen |
author_sort | Watanabe, Hirohisa |
collection | PubMed |
description | To understand the mechanisms underlying preserved and impaired cognitive function in healthy aging and dementia, respectively, the spatial relationships of brain networks and mechanisms of their resilience should be understood. The hub regions of the brain, such as the multisensory integration and default mode networks, are critical for within- and between-network communication, remain well-preserved during aging, and play an essential role in compensatory processes. On the other hand, these brain hubs are the preferred sites for lesions in neurodegenerative dementias, such as Alzheimer’s disease. Disrupted primary information processing networks, such as the auditory, visual, and sensorimotor networks, may lead to overactivity of the multisensory integration networks and accumulation of pathological proteins that cause dementia. At the cellular level, the brain hub regions contain many synapses and require a large amount of energy. These regions are rich in ATP-related gene expression and had high glucose metabolism as demonstrated on positron emission tomography (PET). Importantly, the number and function of mitochondria, which are the center of ATP production, decline by about 8% every 10 years. Dementia patients often have dysfunction of the ubiquitin-proteasome and autophagy-lysosome systems, which require large amounts of ATP. If there is low energy supply but the demand is high, the risk of disease can be high. Imbalance between energy supply and demand may cause accumulation of pathological proteins and play an important role in the development of dementia. This energy imbalance may explain why brain hub regions are vulnerable to damage in different dementias. Here, we review (1) the characteristics of gray matter network, white matter network, and resting state functional network changes related to resilience in healthy aging, (2) the mode of resting state functional network disruption in neurodegenerative dementia, and (3) the cellular mechanisms associated with the disruption. |
format | Online Article Text |
id | pubmed-8646086 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86460862021-12-07 Characteristics of Neural Network Changes in Normal Aging and Early Dementia Watanabe, Hirohisa Bagarinao, Epifanio Maesawa, Satoshi Hara, Kazuhiro Kawabata, Kazuya Ogura, Aya Ohdake, Reiko Shima, Sayuri Mizutani, Yasuaki Ueda, Akihiro Ito, Mizuki Katsuno, Masahisa Sobue, Gen Front Aging Neurosci Neuroscience To understand the mechanisms underlying preserved and impaired cognitive function in healthy aging and dementia, respectively, the spatial relationships of brain networks and mechanisms of their resilience should be understood. The hub regions of the brain, such as the multisensory integration and default mode networks, are critical for within- and between-network communication, remain well-preserved during aging, and play an essential role in compensatory processes. On the other hand, these brain hubs are the preferred sites for lesions in neurodegenerative dementias, such as Alzheimer’s disease. Disrupted primary information processing networks, such as the auditory, visual, and sensorimotor networks, may lead to overactivity of the multisensory integration networks and accumulation of pathological proteins that cause dementia. At the cellular level, the brain hub regions contain many synapses and require a large amount of energy. These regions are rich in ATP-related gene expression and had high glucose metabolism as demonstrated on positron emission tomography (PET). Importantly, the number and function of mitochondria, which are the center of ATP production, decline by about 8% every 10 years. Dementia patients often have dysfunction of the ubiquitin-proteasome and autophagy-lysosome systems, which require large amounts of ATP. If there is low energy supply but the demand is high, the risk of disease can be high. Imbalance between energy supply and demand may cause accumulation of pathological proteins and play an important role in the development of dementia. This energy imbalance may explain why brain hub regions are vulnerable to damage in different dementias. Here, we review (1) the characteristics of gray matter network, white matter network, and resting state functional network changes related to resilience in healthy aging, (2) the mode of resting state functional network disruption in neurodegenerative dementia, and (3) the cellular mechanisms associated with the disruption. Frontiers Media S.A. 2021-11-22 /pmc/articles/PMC8646086/ /pubmed/34880745 http://dx.doi.org/10.3389/fnagi.2021.747359 Text en Copyright © 2021 Watanabe, Bagarinao, Maesawa, Hara, Kawabata, Ogura, Ohdake, Shima, Mizutani, Ueda, Ito, Katsuno and Sobue. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Watanabe, Hirohisa Bagarinao, Epifanio Maesawa, Satoshi Hara, Kazuhiro Kawabata, Kazuya Ogura, Aya Ohdake, Reiko Shima, Sayuri Mizutani, Yasuaki Ueda, Akihiro Ito, Mizuki Katsuno, Masahisa Sobue, Gen Characteristics of Neural Network Changes in Normal Aging and Early Dementia |
title | Characteristics of Neural Network Changes in Normal Aging and Early Dementia |
title_full | Characteristics of Neural Network Changes in Normal Aging and Early Dementia |
title_fullStr | Characteristics of Neural Network Changes in Normal Aging and Early Dementia |
title_full_unstemmed | Characteristics of Neural Network Changes in Normal Aging and Early Dementia |
title_short | Characteristics of Neural Network Changes in Normal Aging and Early Dementia |
title_sort | characteristics of neural network changes in normal aging and early dementia |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8646086/ https://www.ncbi.nlm.nih.gov/pubmed/34880745 http://dx.doi.org/10.3389/fnagi.2021.747359 |
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