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Topological Organization of Metabolic Brain Networks in Pre-Chemotherapy Cancer with Depression: A Resting-State PET Study

This study aimed to investigate the metabolic brain network and its relationship with depression symptoms using (18)F-fluorodeoxyglucose positron emission tomography data in 78 pre-chemotherapy cancer patients with depression and 80 matched healthy subjects. Functional and structural imbalance or di...

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Autores principales: Fang, Lei, Yao, Zhijun, An, Jianping, Chen, Xuejiao, Xie, Yuanwei, Zhao, Hui, Mao, Junfeng, Liang, Wangsheng, Ma, Xiangxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5104370/
https://www.ncbi.nlm.nih.gov/pubmed/27832148
http://dx.doi.org/10.1371/journal.pone.0166049
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author Fang, Lei
Yao, Zhijun
An, Jianping
Chen, Xuejiao
Xie, Yuanwei
Zhao, Hui
Mao, Junfeng
Liang, Wangsheng
Ma, Xiangxing
author_facet Fang, Lei
Yao, Zhijun
An, Jianping
Chen, Xuejiao
Xie, Yuanwei
Zhao, Hui
Mao, Junfeng
Liang, Wangsheng
Ma, Xiangxing
author_sort Fang, Lei
collection PubMed
description This study aimed to investigate the metabolic brain network and its relationship with depression symptoms using (18)F-fluorodeoxyglucose positron emission tomography data in 78 pre-chemotherapy cancer patients with depression and 80 matched healthy subjects. Functional and structural imbalance or disruption of brain networks frequently occur following chemotherapy in cancer patients. However, few studies have focused on the topological organization of the metabolic brain network in cancer with depression, especially those without chemotherapy. The nodal and global parameters of the metabolic brain network were computed for cancer patients and healthy subjects. Significant decreases in metabolism were found in the frontal and temporal gyri in cancer patients compared with healthy subjects. Negative correlations between depression and metabolism were found predominantly in the inferior frontal and cuneus regions, whereas positive correlations were observed in several regions, primarily including the insula, hippocampus, amygdala, and middle temporal gyri. Furthermore, a higher clustering efficiency, longer path length, and fewer hubs were found in cancer patients compared with healthy subjects. The topological organization of the whole-brain metabolic networks may be disrupted in cancer. Finally, the present findings may provide a new avenue for exploring the neurobiological mechanism, which plays a key role in lessening the depression effects in pre-chemotherapy cancer patients.
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spelling pubmed-51043702016-12-08 Topological Organization of Metabolic Brain Networks in Pre-Chemotherapy Cancer with Depression: A Resting-State PET Study Fang, Lei Yao, Zhijun An, Jianping Chen, Xuejiao Xie, Yuanwei Zhao, Hui Mao, Junfeng Liang, Wangsheng Ma, Xiangxing PLoS One Research Article This study aimed to investigate the metabolic brain network and its relationship with depression symptoms using (18)F-fluorodeoxyglucose positron emission tomography data in 78 pre-chemotherapy cancer patients with depression and 80 matched healthy subjects. Functional and structural imbalance or disruption of brain networks frequently occur following chemotherapy in cancer patients. However, few studies have focused on the topological organization of the metabolic brain network in cancer with depression, especially those without chemotherapy. The nodal and global parameters of the metabolic brain network were computed for cancer patients and healthy subjects. Significant decreases in metabolism were found in the frontal and temporal gyri in cancer patients compared with healthy subjects. Negative correlations between depression and metabolism were found predominantly in the inferior frontal and cuneus regions, whereas positive correlations were observed in several regions, primarily including the insula, hippocampus, amygdala, and middle temporal gyri. Furthermore, a higher clustering efficiency, longer path length, and fewer hubs were found in cancer patients compared with healthy subjects. The topological organization of the whole-brain metabolic networks may be disrupted in cancer. Finally, the present findings may provide a new avenue for exploring the neurobiological mechanism, which plays a key role in lessening the depression effects in pre-chemotherapy cancer patients. Public Library of Science 2016-11-10 /pmc/articles/PMC5104370/ /pubmed/27832148 http://dx.doi.org/10.1371/journal.pone.0166049 Text en © 2016 Fang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Fang, Lei
Yao, Zhijun
An, Jianping
Chen, Xuejiao
Xie, Yuanwei
Zhao, Hui
Mao, Junfeng
Liang, Wangsheng
Ma, Xiangxing
Topological Organization of Metabolic Brain Networks in Pre-Chemotherapy Cancer with Depression: A Resting-State PET Study
title Topological Organization of Metabolic Brain Networks in Pre-Chemotherapy Cancer with Depression: A Resting-State PET Study
title_full Topological Organization of Metabolic Brain Networks in Pre-Chemotherapy Cancer with Depression: A Resting-State PET Study
title_fullStr Topological Organization of Metabolic Brain Networks in Pre-Chemotherapy Cancer with Depression: A Resting-State PET Study
title_full_unstemmed Topological Organization of Metabolic Brain Networks in Pre-Chemotherapy Cancer with Depression: A Resting-State PET Study
title_short Topological Organization of Metabolic Brain Networks in Pre-Chemotherapy Cancer with Depression: A Resting-State PET Study
title_sort topological organization of metabolic brain networks in pre-chemotherapy cancer with depression: a resting-state pet study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5104370/
https://www.ncbi.nlm.nih.gov/pubmed/27832148
http://dx.doi.org/10.1371/journal.pone.0166049
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