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Glucose Metabolic Brain Networks in Early-Onset vs. Late-Onset Alzheimer's Disease
Objective: Early-onset Alzheimer's disease (EAD) shows distinct features from late-onset Alzheimer's disease (LAD). To explore the characteristics of EAD, clinical, neuropsychological, and functional imaging studies have been conducted. However, differences between EAD and LAD are not clea...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928512/ https://www.ncbi.nlm.nih.gov/pubmed/27445800 http://dx.doi.org/10.3389/fnagi.2016.00159 |
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author | Chung, Jinyong Yoo, Kwangsun Kim, Eunjoo Na, Duk L. Jeong, Yong |
author_facet | Chung, Jinyong Yoo, Kwangsun Kim, Eunjoo Na, Duk L. Jeong, Yong |
author_sort | Chung, Jinyong |
collection | PubMed |
description | Objective: Early-onset Alzheimer's disease (EAD) shows distinct features from late-onset Alzheimer's disease (LAD). To explore the characteristics of EAD, clinical, neuropsychological, and functional imaging studies have been conducted. However, differences between EAD and LAD are not clear, especially in terms of brain connectivity and networks. In this study, we investigated the differences in metabolic connectivity between EAD and LAD by adopting graph theory measures. Methods: We analyzed (18)F-fluorodeoxyglucose-positron emission tomography (FDG-PET) images to investigate the distinct features of metabolic connectivity between EAD and LAD. Using metabolic connectivity and graph theory analysis, metabolic network differences between LAD and EAD were explored. Results: Results showed the decreased connectivity centered in the cingulate gyri and occipital regions in EAD, whereas decreased connectivity in the occipital and temporal regions as well as increased connectivity in the supplementary motor area were observed in LAD when compared with age-matched control groups. Global efficiency and clustering coefficients were decreased in EAD but not in LAD. EAD showed progressive network deterioration as a function of disease severity and clinical dementia rating (CDR) scores, mainly in terms of connectivity between the cingulate gyri and occipital regions. Global efficiency and clustering coefficients were also decreased along with disease severity. Conclusion: These results indicate that EAD and LAD have distinguished features in terms of metabolic connectivity, with EAD demonstrating more extensive and progressive deterioration. |
format | Online Article Text |
id | pubmed-4928512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-49285122016-07-21 Glucose Metabolic Brain Networks in Early-Onset vs. Late-Onset Alzheimer's Disease Chung, Jinyong Yoo, Kwangsun Kim, Eunjoo Na, Duk L. Jeong, Yong Front Aging Neurosci Neuroscience Objective: Early-onset Alzheimer's disease (EAD) shows distinct features from late-onset Alzheimer's disease (LAD). To explore the characteristics of EAD, clinical, neuropsychological, and functional imaging studies have been conducted. However, differences between EAD and LAD are not clear, especially in terms of brain connectivity and networks. In this study, we investigated the differences in metabolic connectivity between EAD and LAD by adopting graph theory measures. Methods: We analyzed (18)F-fluorodeoxyglucose-positron emission tomography (FDG-PET) images to investigate the distinct features of metabolic connectivity between EAD and LAD. Using metabolic connectivity and graph theory analysis, metabolic network differences between LAD and EAD were explored. Results: Results showed the decreased connectivity centered in the cingulate gyri and occipital regions in EAD, whereas decreased connectivity in the occipital and temporal regions as well as increased connectivity in the supplementary motor area were observed in LAD when compared with age-matched control groups. Global efficiency and clustering coefficients were decreased in EAD but not in LAD. EAD showed progressive network deterioration as a function of disease severity and clinical dementia rating (CDR) scores, mainly in terms of connectivity between the cingulate gyri and occipital regions. Global efficiency and clustering coefficients were also decreased along with disease severity. Conclusion: These results indicate that EAD and LAD have distinguished features in terms of metabolic connectivity, with EAD demonstrating more extensive and progressive deterioration. Frontiers Media S.A. 2016-06-30 /pmc/articles/PMC4928512/ /pubmed/27445800 http://dx.doi.org/10.3389/fnagi.2016.00159 Text en Copyright © 2016 Chung, Yoo, Kim, Na and Jeong. http://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) or licensor 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 Chung, Jinyong Yoo, Kwangsun Kim, Eunjoo Na, Duk L. Jeong, Yong Glucose Metabolic Brain Networks in Early-Onset vs. Late-Onset Alzheimer's Disease |
title | Glucose Metabolic Brain Networks in Early-Onset vs. Late-Onset Alzheimer's Disease |
title_full | Glucose Metabolic Brain Networks in Early-Onset vs. Late-Onset Alzheimer's Disease |
title_fullStr | Glucose Metabolic Brain Networks in Early-Onset vs. Late-Onset Alzheimer's Disease |
title_full_unstemmed | Glucose Metabolic Brain Networks in Early-Onset vs. Late-Onset Alzheimer's Disease |
title_short | Glucose Metabolic Brain Networks in Early-Onset vs. Late-Onset Alzheimer's Disease |
title_sort | glucose metabolic brain networks in early-onset vs. late-onset alzheimer's disease |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928512/ https://www.ncbi.nlm.nih.gov/pubmed/27445800 http://dx.doi.org/10.3389/fnagi.2016.00159 |
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