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...

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Main Authors: Ying Tan, Jing Chen, Weiwei Liao, Zhaoxin Qian
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
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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.
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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
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AT zhaoxinqian brainfunctionnetworkandyoungadultsmokersagraphtheoryanalysisstudy