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Causal structural covariance network revealing atrophy progression in Alzheimer's disease continuum
The structural covariance network (SCN) has provided a perspective on the large‐scale brain organization impairment in the Alzheimer's Disease (AD) continuum. However, the successive structural impairment across brain regions, which may underlie the disrupted SCN in the AD continuum, is not wel...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288084/ https://www.ncbi.nlm.nih.gov/pubmed/33978292 http://dx.doi.org/10.1002/hbm.25531 |
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author | Qing, Zhao Chen, Feng Lu, Jiaming Lv, Pin Li, Weiping Liang, Xue Wang, Maoxue Wang, Zhengge Zhang, Xin Zhang, Bing |
author_facet | Qing, Zhao Chen, Feng Lu, Jiaming Lv, Pin Li, Weiping Liang, Xue Wang, Maoxue Wang, Zhengge Zhang, Xin Zhang, Bing |
author_sort | Qing, Zhao |
collection | PubMed |
description | The structural covariance network (SCN) has provided a perspective on the large‐scale brain organization impairment in the Alzheimer's Disease (AD) continuum. However, the successive structural impairment across brain regions, which may underlie the disrupted SCN in the AD continuum, is not well understood. In the current study, we enrolled 446 subjects with AD, mild cognitive impairment (MCI) or normal aging (NA) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. The SCN as well as a casual SCN (CaSCN) based on Granger causality analysis were applied to the T1‐weighted structural magnetic resonance images of the subjects. Compared with that of the NAs, the SCN was disrupted in the MCI and AD subjects, with the hippocampus and left middle temporal lobe being the most impaired nodes, which is in line with previous studies. In contrast, according to the 194 subjects with records on CSF amyloid and Tau, the CaSCN revealed that during AD progression, the CaSCN was enhanced. Specifically, the hippocampus, thalamus, and precuneus/posterior cingulate cortex (PCC) were identified as the core regions in which atrophy originated and could predict atrophy in other brain regions. Taken together, these findings provide a comprehensive view of brain atrophy in the AD continuum and the relationships among the brain atrophy in different regions, which may provide novel insight into the progression of AD. |
format | Online Article Text |
id | pubmed-8288084 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82880842021-07-21 Causal structural covariance network revealing atrophy progression in Alzheimer's disease continuum Qing, Zhao Chen, Feng Lu, Jiaming Lv, Pin Li, Weiping Liang, Xue Wang, Maoxue Wang, Zhengge Zhang, Xin Zhang, Bing Hum Brain Mapp Research Articles The structural covariance network (SCN) has provided a perspective on the large‐scale brain organization impairment in the Alzheimer's Disease (AD) continuum. However, the successive structural impairment across brain regions, which may underlie the disrupted SCN in the AD continuum, is not well understood. In the current study, we enrolled 446 subjects with AD, mild cognitive impairment (MCI) or normal aging (NA) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. The SCN as well as a casual SCN (CaSCN) based on Granger causality analysis were applied to the T1‐weighted structural magnetic resonance images of the subjects. Compared with that of the NAs, the SCN was disrupted in the MCI and AD subjects, with the hippocampus and left middle temporal lobe being the most impaired nodes, which is in line with previous studies. In contrast, according to the 194 subjects with records on CSF amyloid and Tau, the CaSCN revealed that during AD progression, the CaSCN was enhanced. Specifically, the hippocampus, thalamus, and precuneus/posterior cingulate cortex (PCC) were identified as the core regions in which atrophy originated and could predict atrophy in other brain regions. Taken together, these findings provide a comprehensive view of brain atrophy in the AD continuum and the relationships among the brain atrophy in different regions, which may provide novel insight into the progression of AD. John Wiley & Sons, Inc. 2021-05-12 /pmc/articles/PMC8288084/ /pubmed/33978292 http://dx.doi.org/10.1002/hbm.25531 Text en © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles Qing, Zhao Chen, Feng Lu, Jiaming Lv, Pin Li, Weiping Liang, Xue Wang, Maoxue Wang, Zhengge Zhang, Xin Zhang, Bing Causal structural covariance network revealing atrophy progression in Alzheimer's disease continuum |
title | Causal structural covariance network revealing atrophy progression in Alzheimer's disease continuum |
title_full | Causal structural covariance network revealing atrophy progression in Alzheimer's disease continuum |
title_fullStr | Causal structural covariance network revealing atrophy progression in Alzheimer's disease continuum |
title_full_unstemmed | Causal structural covariance network revealing atrophy progression in Alzheimer's disease continuum |
title_short | Causal structural covariance network revealing atrophy progression in Alzheimer's disease continuum |
title_sort | causal structural covariance network revealing atrophy progression in alzheimer's disease continuum |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288084/ https://www.ncbi.nlm.nih.gov/pubmed/33978292 http://dx.doi.org/10.1002/hbm.25531 |
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