Literature DB >> 31680913

Brain Gray Matter Volume and Functional Connectivity Are Associated With Smoking Cessation Outcomes.

Wei Qian1, Peiyu Huang1, Zhujing Shen1, Chao Wang1, Yihong Yang2, Minming Zhang1.   

Abstract

Smoking cessation is critical for reducing the risk of respiratory, cardiovascular diseases and cancers. However, most cessation attempts resulted in failure. In the present study, we aim to explore whether alterations of brain gray matter (GM) volume and functional connectivity (FC) are related to cessation outcomes, in hope of providing evidence for improving smoking cessation outcomes. Seventy-three smokers and 41 non-smokers were enrolled in the present study. All smokers participated in a 12-week smoking cessation treatment during which Varenicline was used to aid cessation. At the end of treatment, the smokers were divided into quitters and relapsers based on their abstinence performance. Structural magnetic resonance imaging (MRI) and voxel-based morphometry were applied to quantify the differences of regional brain volumes among the three groups at baseline. In addition, resting-state FC was used to investigate the related functional changes. In comparison with non-smokers, the smokers showed smaller GM volume in the left dorsal medial thalamus. Among the 73 smokers, 29 subjects successfully quitted smoking. The quitters showed greater GM volume than the relapsers in the right postcentral gyrus, right putamen\caudate nucleus and left orbitofrontal cortex (OFC). The GM volume in the left OFC was found to be negatively correlated with the pack years and daily smoking amount in the quitters. Furthermore, we found significantly reduced FC between left thalamus and left cerebellum in the relapsers. These findings extended our knowledge of the neural mechanism of smoking cessation, and suggested that brain structural and functional changes were related to smoking cessation outcomes.
Copyright © 2019 Qian, Huang, Shen, Wang, Yang and Zhang.

Entities:  

Keywords:  functional connectivity; gray matter; magnetic resonance imaging; nicotine addiction; smoking cessation

Year:  2019        PMID: 31680913      PMCID: PMC6803765          DOI: 10.3389/fnhum.2019.00361

Source DB:  PubMed          Journal:  Front Hum Neurosci        ISSN: 1662-5161            Impact factor:   3.169


  55 in total

1.  Brain reactivity to smoking cues prior to smoking cessation predicts ability to maintain tobacco abstinence.

Authors:  Amy C Janes; Diego A Pizzagalli; Sarah Richardt; Blaise deB Frederick; Sarah Chuzi; Gladys Pachas; Melissa A Culhane; Avram J Holmes; Maurizio Fava; A Eden Evins; Marc J Kaufman
Journal:  Biol Psychiatry       Date:  2010-02-20       Impact factor: 13.382

2.  Lower gray matter density and functional connectivity in the anterior insula in smokers compared with never smokers.

Authors:  Luke E Stoeckel; Xiaoqian J Chai; Jiahe Zhang; Susan Whitfield-Gabrieli; A Eden Evins
Journal:  Addict Biol       Date:  2015-05-20       Impact factor: 4.280

Review 3.  Addiction, a disease of compulsion and drive: involvement of the orbitofrontal cortex.

Authors:  N D Volkow; J S Fowler
Journal:  Cereb Cortex       Date:  2000-03       Impact factor: 5.357

4.  [Smoking and passive smoking in Chinese, 2002].

Authors:  Gong-huan Yang; Jie-min Ma; Na Liu; Ling-ni Zhou
Journal:  Zhonghua Liu Xing Bing Xue Za Zhi       Date:  2005-02

5.  Association Between Baseline Corticothalamic-Mediated Inhibitory Control and Smoking Relapse Vulnerability.

Authors:  Brett Froeliger; Patrick A McConnell; Spencer Bell; Maggie Sweitzer; Rachel V Kozink; Christie Eichberg; Matt Hallyburton; Nicole Kaiser; Kevin M Gray; F Joseph McClernon
Journal:  JAMA Psychiatry       Date:  2017-04-01       Impact factor: 21.596

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Authors:  Sufang Li; Yihong Yang; Ewa Hoffmann; Rachel F Tyndale; Elliot A Stein
Journal:  Biol Psychiatry       Date:  2016-09-28       Impact factor: 13.382

7.  Factors underlying prefrontal and insula structural alterations in smokers.

Authors:  Xiaochu Zhang; Betty Jo Salmeron; Thomas J Ross; Xiujuan Geng; Yihong Yang; Elliot A Stein
Journal:  Neuroimage       Date:  2010-08-10       Impact factor: 6.556

Review 8.  Using fMRI to study reward processing in humans: past, present, and future.

Authors:  Kainan S Wang; David V Smith; Mauricio R Delgado
Journal:  J Neurophysiol       Date:  2016-01-06       Impact factor: 2.714

9.  Multivariate classification of smokers and nonsmokers using SVM-RFE on structural MRI images.

Authors:  Xiaoyu Ding; Yihong Yang; Elliot A Stein; Thomas J Ross
Journal:  Hum Brain Mapp       Date:  2015-10-24       Impact factor: 5.038

10.  Decreased dopamine activity predicts relapse in methamphetamine abusers.

Authors:  G J Wang; L Smith; N D Volkow; F Telang; J Logan; D Tomasi; C T Wong; W Hoffman; M Jayne; N Alia-Klein; P Thanos; J S Fowler
Journal:  Mol Psychiatry       Date:  2011-07-12       Impact factor: 15.992

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