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颈动脉内膜中层厚度(cIMT)与烟草依赖双系统失衡的关系:一项 rs-fMRI 研究。

Relationship between carotid intima-media thickness (cIMT) and dual-system imbalance in tobacco dependence: An rs-fMRI research.

机构信息

Department of Gastroenterology, Affiliated Hospital of Qingdao Binhai University, Qingdao, Shandong Province, China.

Department of Geriatrics, Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China.

出版信息

Brain Behav. 2023 Jul;13(7):e3059. doi: 10.1002/brb3.3059. Epub 2023 Jun 12.


DOI:10.1002/brb3.3059
PMID:37309087
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10338816/
Abstract

BACKGROUND AND PURPOSE: According to the classic cognitive behavioral theory proposes, dysfunctional goal-directed and habit control systems are considered central to the pathogenesis of dependent behavior and impair recovery from addictions. The functional connectivity (FC) of the brain circuits for goal-directed or habitual behavior has not been clearly reported in tobacco-dependent groups. Smoking is one of the factors in the formation of atherosclerosis. Studies have shown that the thickness of carotid intima-media (cIMT) is associated with attention-executive-psychomotor functioning. Therefore, we hypothesized whether cIMT in tobacco-dependent individuals is associated with changes in the FC of the dual-system network. METHODS: A total of 29 male tobacco-dependent subjects (tobacco-dependent group) (mean age: 64.20 years, standard deviation [SD]: 4.81 years) underwent resting-state functional magnetic resonance imaging (rs-fMRI). Exactly 28 male nonsmokers (control group) (mean age: 61.95 years, SD: 5.52 years) were also recruited to undergo rs-fMRI. We used the dorsolateral striatum (putamen) and dorsomedial striatum (caudate) as regions of interest for whole-brain resting-state connectivity to construct habitual and goal-directed brain networks, respectively. In addition, all participants were evaluated by carotid artery ultrasound to obtain the cIMT values. Then, we compared the dual-system brain networks between the tobacco dependence and control groups and the relationship between cIMT and imbalance of dual-system brain networks in tobacco dependence. RESULTS: The results showed a reduction in the connection between the caudate and precuneus and an increased connection between the putamen and prefrontal cortex; and supplementary motor area. The bilateral connectivity between the caudate and inferior frontal gyrus showed a significant negative correlation with the cIMT, and no positive correlation was observed with cIMT in the brain region that connects to the caudate. However, for the putamen, increased connectivity with the inferior temporal and medial frontal gyri was strongly associated with a high cIMT. CONCLUSIONS: The results indicate that the formation of tobacco dependence behavior is related to changes in the dual-system brain network. Carotid sclerosis is associated with the weakening of the goal-directed network and enhancement of the habit network in tobacco dependence. This finding suggests that tobacco dependence behavior and clinical vascular diseases are related to changes in brain functional networks.

摘要

背景与目的:根据经典认知行为理论提出,功能失调的目标导向和习惯控制系统被认为是依赖行为发病机制的核心,并损害成瘾的恢复。在依赖烟草的人群中,目标导向或习惯性行为的大脑回路的功能连接(FC)尚未明确报道。吸烟是形成动脉粥样硬化的因素之一。研究表明,颈动脉内膜中层(cIMT)厚度与注意力-执行-运动功能有关。因此,我们假设依赖烟草的个体中 cIMT 是否与双系统网络的 FC 变化有关。 方法:共纳入 29 名男性依赖烟草的个体(依赖烟草组)(平均年龄:64.20 岁,标准差[SD]:4.81 岁)进行静息态功能磁共振成像(rs-fMRI)。还招募了 28 名男性非吸烟者(对照组)(平均年龄:61.95 岁,SD:5.52 岁)进行 rs-fMRI。我们使用背外侧纹状体(壳核)和背内侧纹状体(尾状核)作为全脑静息状态连接的感兴趣区,分别构建习惯性和目标导向的大脑网络。此外,所有参与者均接受颈动脉超声检查以获得 cIMT 值。然后,我们比较了依赖烟草组和对照组之间的双系统大脑网络,以及依赖烟草组中 cIMT 与双系统大脑网络失衡之间的关系。 结果:结果显示,尾状核与楔前叶之间的连接减少,壳核与前额叶、补充运动区之间的连接增加。尾状核与双侧额下回之间的连接与 cIMT 呈显著负相关,而与尾状核连接的脑区与 cIMT 无正相关。然而,对于壳核,与下颞叶和内侧额回的连接增加与高 cIMT 强烈相关。 结论:结果表明,烟草依赖行为的形成与双系统大脑网络的变化有关。颈动脉粥样硬化与烟草依赖中目标导向网络的减弱和习惯网络的增强有关。这一发现表明,烟草依赖行为和临床血管疾病与大脑功能网络的变化有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aafa/10338816/2e976b931e51/BRB3-13-e3059-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aafa/10338816/0127e865e18c/BRB3-13-e3059-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aafa/10338816/4cb1366429c5/BRB3-13-e3059-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aafa/10338816/2e976b931e51/BRB3-13-e3059-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aafa/10338816/0127e865e18c/BRB3-13-e3059-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aafa/10338816/4cb1366429c5/BRB3-13-e3059-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aafa/10338816/2e976b931e51/BRB3-13-e3059-g004.jpg

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