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Visualizing modules of coordinated structural brain atrophy during the course of conversion to Alzheimer's disease by applying methodology from gene co-expression analysis
OBJECTIVE: We aimed to identify modularized structural atrophy of brain regions with a high degree of connectivity and its longitudinal changes associated with the progression of Alzheimer's disease (AD) using weighted gene co-expression network analysis (WGCNA), which is an unsupervised hierar...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700430/ https://www.ncbi.nlm.nih.gov/pubmed/31400633 http://dx.doi.org/10.1016/j.nicl.2019.101957 |
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author | Sato, Kenichiro Mano, Tatsuo Matsuda, Hiroshi Senda, Michio Ihara, Ryoko Suzuki, Kazushi Arai, Hiroyuki Ishii, Kenji Ito, Kengo Ikeuchi, Takeshi Kuwano, Ryozo Toda, Tatsushi Iwatsubo, Takeshi Iwata, Atsushi |
author_facet | Sato, Kenichiro Mano, Tatsuo Matsuda, Hiroshi Senda, Michio Ihara, Ryoko Suzuki, Kazushi Arai, Hiroyuki Ishii, Kenji Ito, Kengo Ikeuchi, Takeshi Kuwano, Ryozo Toda, Tatsushi Iwatsubo, Takeshi Iwata, Atsushi |
author_sort | Sato, Kenichiro |
collection | PubMed |
description | OBJECTIVE: We aimed to identify modularized structural atrophy of brain regions with a high degree of connectivity and its longitudinal changes associated with the progression of Alzheimer's disease (AD) using weighted gene co-expression network analysis (WGCNA), which is an unsupervised hierarchical clustering method originally used in genetic analysis. METHODS: We included participants with late mild cognitive impairment (MCI) at baseline from the Japanese Alzheimer's Disease Neuroimaging Initiative (J-ADNI) study. We imputed normalized and Z-transformed structural volume or cortical thickness data of 164 parcellated brain regions/structures based on the calculations of the FreeSurfer software. We applied the WGCNA to extract modules with highly interconnected structural atrophic patterns and examined the correlation between the identified modules and clinical AD progression. RESULTS: We included 204 participants from the baseline dataset, and performed a follow-up with 100 in the 36-month dataset of MCI cohort participants from the J-ADNI. In the univariate correlation or variable importance analysis, baseline atrophy in temporal lobe regions/structures significantly predicted clinical AD progression. In the WGCNA consensus analysis, co-atrophy modules associated with MCI conversion were first distributed in the temporal lobe and subsequently extended to adjacent parietal cortical regions in the following 36 months. CONCLUSIONS: We identified coordinated modules of brain atrophy and demonstrated their longitudinal extension along with the clinical course of AD progression using WGCNA, which showed a good correspondence with previous pathological studies of the tau propagation theory. Our results suggest the potential applicability of this methodology, originating from genetic analyses, for the surrogate visualization of the underlying pathological progression in neurodegenerative diseases not limited to AD. |
format | Online Article Text |
id | pubmed-6700430 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-67004302019-08-26 Visualizing modules of coordinated structural brain atrophy during the course of conversion to Alzheimer's disease by applying methodology from gene co-expression analysis Sato, Kenichiro Mano, Tatsuo Matsuda, Hiroshi Senda, Michio Ihara, Ryoko Suzuki, Kazushi Arai, Hiroyuki Ishii, Kenji Ito, Kengo Ikeuchi, Takeshi Kuwano, Ryozo Toda, Tatsushi Iwatsubo, Takeshi Iwata, Atsushi Neuroimage Clin Regular Article OBJECTIVE: We aimed to identify modularized structural atrophy of brain regions with a high degree of connectivity and its longitudinal changes associated with the progression of Alzheimer's disease (AD) using weighted gene co-expression network analysis (WGCNA), which is an unsupervised hierarchical clustering method originally used in genetic analysis. METHODS: We included participants with late mild cognitive impairment (MCI) at baseline from the Japanese Alzheimer's Disease Neuroimaging Initiative (J-ADNI) study. We imputed normalized and Z-transformed structural volume or cortical thickness data of 164 parcellated brain regions/structures based on the calculations of the FreeSurfer software. We applied the WGCNA to extract modules with highly interconnected structural atrophic patterns and examined the correlation between the identified modules and clinical AD progression. RESULTS: We included 204 participants from the baseline dataset, and performed a follow-up with 100 in the 36-month dataset of MCI cohort participants from the J-ADNI. In the univariate correlation or variable importance analysis, baseline atrophy in temporal lobe regions/structures significantly predicted clinical AD progression. In the WGCNA consensus analysis, co-atrophy modules associated with MCI conversion were first distributed in the temporal lobe and subsequently extended to adjacent parietal cortical regions in the following 36 months. CONCLUSIONS: We identified coordinated modules of brain atrophy and demonstrated their longitudinal extension along with the clinical course of AD progression using WGCNA, which showed a good correspondence with previous pathological studies of the tau propagation theory. Our results suggest the potential applicability of this methodology, originating from genetic analyses, for the surrogate visualization of the underlying pathological progression in neurodegenerative diseases not limited to AD. Elsevier 2019-07-25 /pmc/articles/PMC6700430/ /pubmed/31400633 http://dx.doi.org/10.1016/j.nicl.2019.101957 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Regular Article Sato, Kenichiro Mano, Tatsuo Matsuda, Hiroshi Senda, Michio Ihara, Ryoko Suzuki, Kazushi Arai, Hiroyuki Ishii, Kenji Ito, Kengo Ikeuchi, Takeshi Kuwano, Ryozo Toda, Tatsushi Iwatsubo, Takeshi Iwata, Atsushi Visualizing modules of coordinated structural brain atrophy during the course of conversion to Alzheimer's disease by applying methodology from gene co-expression analysis |
title | Visualizing modules of coordinated structural brain atrophy during the course of conversion to Alzheimer's disease by applying methodology from gene co-expression analysis |
title_full | Visualizing modules of coordinated structural brain atrophy during the course of conversion to Alzheimer's disease by applying methodology from gene co-expression analysis |
title_fullStr | Visualizing modules of coordinated structural brain atrophy during the course of conversion to Alzheimer's disease by applying methodology from gene co-expression analysis |
title_full_unstemmed | Visualizing modules of coordinated structural brain atrophy during the course of conversion to Alzheimer's disease by applying methodology from gene co-expression analysis |
title_short | Visualizing modules of coordinated structural brain atrophy during the course of conversion to Alzheimer's disease by applying methodology from gene co-expression analysis |
title_sort | visualizing modules of coordinated structural brain atrophy during the course of conversion to alzheimer's disease by applying methodology from gene co-expression analysis |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700430/ https://www.ncbi.nlm.nih.gov/pubmed/31400633 http://dx.doi.org/10.1016/j.nicl.2019.101957 |
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