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Brain Function Network and Young Adult Smokers: A Graph Theory Analysis Study
Cigarette smoking is associated with abnormalities in the widespread inter-regional functional connectivity of the brain. However, few studies focused on the abnormalities in the topological organization of brain functional networks in young smokers. In the current study, resting-state functional ma...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728894/ https://www.ncbi.nlm.nih.gov/pubmed/31543831 http://dx.doi.org/10.3389/fpsyt.2019.00590 |
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author | Tan, Ying Chen, Jing Liao, Weiwei Qian, Zhaoxin |
author_facet | Tan, Ying Chen, Jing Liao, Weiwei Qian, Zhaoxin |
author_sort | Tan, Ying |
collection | PubMed |
description | Cigarette smoking is associated with abnormalities in the widespread inter-regional functional connectivity of the brain. However, few studies focused on the abnormalities in the topological organization of brain functional networks in young smokers. In the current study, resting-state functional magnetic resonance images were acquired from 30 young male smokers and 32 age-, gender-, and education-matched healthy male nonsmokers. A functional network was constructed by calculating the Pearson correlation coefficients among 246 subregions in the human Brainnetome Atlas. The topological parameters were compared between smokers and nonsmokers. The results showed that the functional network of both young smokers and nonsmokers had small-world topology. Compared to nonsmokers, young smokers exhibited a decreased clustering coefficient (C(p)) and local network efficiency (E(local)). C(p) and E(local) were negatively correlated with the duration of cigarette use. In addition, increased nodal efficiency (E(nodal)) was mainly located in the prefrontal cortex (PFC), cingulate gyrus, insula, and caudate. Decreased connectivities among the PFC, cingulate gyrus, insula, basal ganglia (of specific node), and thalamus were also observed. In sum, we revealed the abnormal topological organization of brain functional networks in young smokers, which may improve our understanding of the neural mechanism of young smokers from a brain functional network topological organization perspective. |
format | Online Article Text |
id | pubmed-6728894 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67288942019-09-20 Brain Function Network and Young Adult Smokers: A Graph Theory Analysis Study Tan, Ying Chen, Jing Liao, Weiwei Qian, Zhaoxin Front Psychiatry Psychiatry Cigarette smoking is associated with abnormalities in the widespread inter-regional functional connectivity of the brain. However, few studies focused on the abnormalities in the topological organization of brain functional networks in young smokers. In the current study, resting-state functional magnetic resonance images were acquired from 30 young male smokers and 32 age-, gender-, and education-matched healthy male nonsmokers. A functional network was constructed by calculating the Pearson correlation coefficients among 246 subregions in the human Brainnetome Atlas. The topological parameters were compared between smokers and nonsmokers. The results showed that the functional network of both young smokers and nonsmokers had small-world topology. Compared to nonsmokers, young smokers exhibited a decreased clustering coefficient (C(p)) and local network efficiency (E(local)). C(p) and E(local) were negatively correlated with the duration of cigarette use. In addition, increased nodal efficiency (E(nodal)) was mainly located in the prefrontal cortex (PFC), cingulate gyrus, insula, and caudate. Decreased connectivities among the PFC, cingulate gyrus, insula, basal ganglia (of specific node), and thalamus were also observed. In sum, we revealed the abnormal topological organization of brain functional networks in young smokers, which may improve our understanding of the neural mechanism of young smokers from a brain functional network topological organization perspective. Frontiers Media S.A. 2019-08-30 /pmc/articles/PMC6728894/ /pubmed/31543831 http://dx.doi.org/10.3389/fpsyt.2019.00590 Text en Copyright © 2019 Tan, Chen, Liao and Qian 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) 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 | Psychiatry Tan, Ying Chen, Jing Liao, Weiwei Qian, Zhaoxin Brain Function Network and Young Adult Smokers: A Graph Theory Analysis Study |
title | Brain Function Network and Young Adult Smokers: A Graph Theory Analysis Study |
title_full | Brain Function Network and Young Adult Smokers: A Graph Theory Analysis Study |
title_fullStr | Brain Function Network and Young Adult Smokers: A Graph Theory Analysis Study |
title_full_unstemmed | Brain Function Network and Young Adult Smokers: A Graph Theory Analysis Study |
title_short | Brain Function Network and Young Adult Smokers: A Graph Theory Analysis Study |
title_sort | brain function network and young adult smokers: a graph theory analysis study |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728894/ https://www.ncbi.nlm.nih.gov/pubmed/31543831 http://dx.doi.org/10.3389/fpsyt.2019.00590 |
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