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...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2019-08-01
|
Series: | Frontiers in Psychiatry |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fpsyt.2019.00590/full |
_version_ | 1819084164720230400 |
---|---|
author | Ying Tan Jing Chen Weiwei Liao Zhaoxin Qian |
author_facet | Ying Tan Jing Chen Weiwei Liao Zhaoxin Qian |
author_sort | Ying Tan |
collection | DOAJ |
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 (Cp) and local network efficiency (Elocal). Cp and Elocal were negatively correlated with the duration of cigarette use. In addition, increased nodal efficiency (Enodal) 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. |
first_indexed | 2024-12-21T20:44:07Z |
format | Article |
id | doaj.art-12907c922c174544ae7aea0687aade8d |
institution | Directory Open Access Journal |
issn | 1664-0640 |
language | English |
last_indexed | 2024-12-21T20:44:07Z |
publishDate | 2019-08-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Psychiatry |
spelling | doaj.art-12907c922c174544ae7aea0687aade8d2022-12-21T18:50:53ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402019-08-011010.3389/fpsyt.2019.00590472510Brain Function Network and Young Adult Smokers: A Graph Theory Analysis StudyYing Tan0Jing Chen1Weiwei Liao2Zhaoxin Qian3Health Management Center, Xiangya Hospital, Central South University, Changsha, ChinaCenter of Stomatology, Xiangya Hospital, Central South University, Changsha, ChinaHealth Management Center, Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Emergency, Xiangya Hospital, Central South University, Changsha, ChinaCigarette 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 (Cp) and local network efficiency (Elocal). Cp and Elocal were negatively correlated with the duration of cigarette use. In addition, increased nodal efficiency (Enodal) 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.https://www.frontiersin.org/article/10.3389/fpsyt.2019.00590/fullyoung smokersbrain functional networksgraph theory analysisresting-state functional magnetic resonance imagingtopological organization |
spellingShingle | Ying Tan Jing Chen Weiwei Liao Zhaoxin Qian Brain Function Network and Young Adult Smokers: A Graph Theory Analysis Study Frontiers in Psychiatry young smokers brain functional networks graph theory analysis resting-state functional magnetic resonance imaging topological organization |
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 | young smokers brain functional networks graph theory analysis resting-state functional magnetic resonance imaging topological organization |
url | https://www.frontiersin.org/article/10.3389/fpsyt.2019.00590/full |
work_keys_str_mv | AT yingtan brainfunctionnetworkandyoungadultsmokersagraphtheoryanalysisstudy AT jingchen brainfunctionnetworkandyoungadultsmokersagraphtheoryanalysisstudy AT weiweiliao brainfunctionnetworkandyoungadultsmokersagraphtheoryanalysisstudy AT zhaoxinqian brainfunctionnetworkandyoungadultsmokersagraphtheoryanalysisstudy |