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Brain Imaging and Behavior

, Volume 13, Issue 4, pp 953–962 | Cite as

12-h abstinence-induced functional connectivity density changes and craving in young smokers: a resting-state study

  • Shuzhi Zhao
  • Yangding LiEmail author
  • Min Li
  • Ruonan Wang
  • Yanzhi Bi
  • Yajuan Zhang
  • Xiaoqi Lu
  • Dahua Yu
  • Likun YangEmail author
  • Kai YuanEmail author
Original Research

Abstract

Studying the neural correlates of craving to smoke is of great importance to improve treatment outcomes in smoking addiction. According to previous studies, the critical roles of striatum and frontal brain regions had been revealed in addiction. However, few studies focused on the hub of brain regions in the 12 h abstinence induced craving in young smokers. Thirty-one young male smokers were enrolled in the present study. A within-subject experiment design was carried out to compare functional connectivity density between 12-h smoking abstinence and smoking satiety conditions during resting state in young adult smokers by using functional connectivity density mapping (FCDM). Then, the functional connectivity density changes during smoking abstinence versus satiety were further used to examine correlations with abstinence-induced changes in subjective craving. We found young adult smokers in abstinence state (vs satiety) had higher local functional connectivity density (lFCD) and global functional connectivity density (gFCD) in brain regions including striatal subregions (i.e., bilateral caudate and putamen), frontal regions (i.e., anterior cingulate cortex (ACC) and orbital frontal cortex (OFC)) and bilateral insula. We also found higher lFCD during smoking abstinence (vs satiety) in bilateral thalamus. Additionally, the lFCD changes of the left ACC, bilateral caudate and right OFC were positively correlated with the changes in craving induced by abstinence (i.e., abstinence minus satiety) in young adult smokers. The present findings improve the understanding of the effects of acute smoking abstinence on the hubs of brain gray matter in the abstinence-induces craving and may contribute new insights into the neural mechanism of abstinence-induced craving in young smokers in smoking addiction.

Keywords

Resting state Functional connectivity density mapping (FCDM) Abstinence-induced craving Young adult smokers 

Notes

Acknowledgments

This paper is supported by the National Natural Science Foundation of China under Grant Nos. 81701780, 81571751, 81571753, 61502376, 81401478, 81401488, 81470816, 81471737, 61573270, 61363009, and 61672177, the Fundamental Research Funds for the Central Universities under Grant Nos. JBG151207 and JB161201, the Natural Science Foundation of Inner Mongolia under Grant Nos. 2014BS0610, the Innovation Fund Project of Inner Mongolia University of Science and Technology under Grant No. 2015QNGG03, the China Key Research Program under Grant No. 2016YFB1000905, the Guangxi Natural Science Foundation under Grant Nos. 2017GXNSFBA198221, the PhD research startup foundation of Guangxi Normal University under Grant No. 2017BQ017, the Guangxi Collaborative Innovation Center of Multi-Source Information Integration and Intelligent Processing, the Project of Guangxi Science and Technology (GuiKeAD17195062).

Compliance with ethical standards

Informed consent

Informed consent was obtained from all individual participants included in the study.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Conflict of interest

The authors declare that they have no conflict of interest.

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Authors and Affiliations

  1. 1.College of Computer Science and Information TechnologyGuangxi Normal UniversityGuilinPeople’s Republic of China
  2. 2.Guangxi Key Lab of Multi-Source Information Mining and SecurityGuilinPeople’s Republic of China
  3. 3.School of Life Science and TechnologyXidian UniversityXi’anPeople’s Republic of China
  4. 4.Engineering Research Center of Molecular and Neuro ImagingMinistry of EducationXi’anPeople’s Republic of China
  5. 5.Information Processing Laboratory, School of Information EngineeringInner Mongolia University of Science and TechnologyBaotouPeople’s Republic of China
  6. 6.Department of NeurosurgeryWuxiPeople’s Republic of China

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