Brain‐volume changes in young and middle‐aged smokers: a <scp>DARTEL</scp>‐based voxel‐based morphometry study

Peng, Peng; Wang, Zhenchang; Jiang, Tao; Chu, Shuilian; Wang, Shuangkun; Xiao, Dingquan

doi:10.1111/crj.12393

Cited by 22 publications

(15 citation statements)

References 55 publications

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“…The observed volumetric decrease in the thalamus of cigarette smokers is in congruence with several prior studies (Gallinat et al, 2006; Almeida et al, 2008; Liao et al, 2012; Peng et al, 2017). Recently, Sutherland et al (2016) performed a coordinate-based meta-analysis of MRI studies related to chronic smoking, which suggest that thalamus is one of the structures showing consistent structural decreased in smokers.…”

Section: Discussionsupporting

confidence: 92%

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

Qian

Huang

Shen

et al. 2019

Front. Hum. Neurosci.

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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.

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Section: Discussionsupporting

confidence: 92%

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

Qian

Huang

Shen

et al. 2019

Front. Hum. Neurosci.

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“…Many studies have found that smokers exhibit structural changes in some brain areas in comparison to non-smokers ( Karama et al, 2015 ; Peng et al, 2015 ; Prom-Wormley et al, 2015 ). Our previous study went further to discover that brain tissue atrophy becomes more obvious with the associated smoking amount (pack-years) ( Peng et al, 2015 ), which demonstrates that pack-years is an effective indicator of smoking-related structural damages in the brain. In this study, we found that severe nicotine dependence smokers demonstrated less brain atrophy than moderate nicotine dependence smokers, interestingly illustrating a distinct change trend in comparison to the findings from pack-years.…”

Section: Discussionmentioning

confidence: 99%

“…Smoking account and nicotine dependence are two independent factors on smokers, It is well accepted that more smoking account could cumulatively lead to more serious brain alternations, and our previous study had reported the structural changes in the brain related to the lifetime tobacco consumption (in pack-years) ( Peng et al, 2015 ). However, whether nicotine dependence also displays such a trend as smoking account is still unknown for smokers, and we speculate nicotine dependence may have distinct effects on the brain compared to the smoking account.…”

Section: Introductionmentioning

confidence: 99%

Brain Structure Alterations in Respect to Tobacco Consumption and Nicotine Dependence: A Comparative Voxel-Based Morphometry Study

Peng

Liu

et al. 2018

Front. Neuroanat.

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The main purpose of this study is to examine the lifetime tobacco consumption and the degree of nicotine dependence related gray matter (GM) and white matter (WM) volume alterations in young adult-male smokers. Fifty-three long-term male smokers and 53 well-matched male healthy non-smokers participated in the study, and the smokers were respectively categorized into light and heavy tobacco consumption subgroups by pack-years and into moderate and severe nicotine dependence subgroups using the Fagerström Test for Nicotine Dependence (FTND). Voxel-based morphometry analysis was then performed, and ANCOVA analysis combined with subsequent post hoc test were used to explore the between-group brain volume abnormalities related to the smoking amount and nicotine dependence. Light and heavy smokers displayed smaller GM and WM volumes than non-smokers, while heavy smokers were found with more significant brain atrophy than light smokers in GM areas of precuneus, inferior and middle frontal gyrus, superior temporal gyrus, cerebellum anterior lobe and insula, and in WM areas of cerebellum anterior lobe. However, the contrary trend was observed regarding alterations associated with severity of nicotine dependence. Severe nicotine dependence smokers rather demonstrated less atrophy levels compared to moderate nicotine dependence smokers, especially in GM areas of precuneus, superior and middle temporal gyrus, middle occipital gyrus, posterior cingulate and insula, and in WM areas of precuneus, posterior cingulate, cerebellum anterior lobe and midbrain. The results reveal that the nicotine dependence displays a dissimilar effect on the brain volume in comparison to the cigarette consumption. Our study could provide new evidences to understand the adverse effects of smoking on the brain structure, which is helpful for further treatment of smokers.

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“…Structural imaging studies have largely shown that problematic use of substances, such as cocaine (Rando, Tuit, Hannestad, Guarnaccia, & Sinha, 2013), opioids (Wollman et al, 2017), alcohol (Heikkinen et al, 2017), and cigarettes (Peng et al, 2017), is associated with reduced gray matter volumes in the insular cortex, typically bilaterally. In many cases, these structural differences are especially pronounced in the posterior parts of the insula (Droutman et al, 2015).…”

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confidence: 99%

Delay discounting mediates the association between posterior insular cortex volume and social media addiction symptoms

Turel

Brevers

et al. 2018

Cogn Affect Behav Neurosci

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Addiction-like symptoms in relation to excessive and compulsive social media use are common in the general population. Because they can lead to various adverse effects, there is a growing need to understand the brain systems and processes that are involved in potential social media addiction. We focus on the morphology of the posterior subdivision of the insular cortex (i.e., the insula), because it has been shown to be instrumental to supporting the maintenance of substance addictions and problematic behaviors. Assuming that social media addiction shares neural similarities with more established ones and consistent with evidence from the neuroeconomics domain, we further examine one possible reason for this association-namely that insular morphology influences one's delay discounting and that this delay discounting contributes to exaggerated preference for immediate social media rewards and consequent addiction-like symptoms. Based on voxel-based morphometry techniques applied to MRI scans of 32 social media users, we show that the gray matter volumes of the bilateral posterior insula are negatively associated with social media addiction symptoms. We further show that this association is mediated by delay discounting. This provides initial evidence that insular morphology can be associated with potential social media addiction, in part, through its contribution to poor foresight and impulsivity as captured by delay discounting.

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Brain‐volume changes in young and middle‐aged smokers: a DARTEL‐based voxel‐based morphometry study

Abstract: Young and middle-aged male smokers had many smaller brain areas than non-smokers. Some of these areas' volume had negative correlation with pack-years, while some had not. These may due to different pathophysiological role of smokings.

Cited by 22 publications

References 55 publications

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

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

Brain Structure Alterations in Respect to Tobacco Consumption and Nicotine Dependence: A Comparative Voxel-Based Morphometry Study

Delay discounting mediates the association between posterior insular cortex volume and social media addiction symptoms

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