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静息态连接在既往吸烟者、当前吸烟者和从不吸烟者中的差异。

Resting-State Connectivity in Former, Current, and Never Smokers.

机构信息

The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM.

出版信息

Nicotine Tob Res. 2020 Feb 6;22(2):180-187. doi: 10.1093/ntr/nty266.

Abstract

INTRODUCTION

Understanding the neural mechanisms that support successful smoking cessation is vital to the development of novel treatments for nicotine dependence.

METHOD

To this end, we compared resting-state functional connectivity across three smoking groups: current, never, and former smokers. We used an independent component analysis (ICA) that allowed us to compare differences in intrinsic, large-scale networks across our groups. Using this technique, we were able to compare group differences across resting-state networks without the requirement of identifying coordinate-based regions of interest.

RESULTS

Overall, the ICA resulted in networks that were largely consistent with previous reports, including bilateral executive control networks, salience, and a default mode network. Group comparisons among the three groups revealed differences in three networks including sensorimotor, dorsal attention, and default mode networks, with differences localized to pre/postcentral gyrus, lateral occipital cortex, and superior parietal lobe. In all regions showing a difference, current smokers showed increased network amplitude compared to former and never smokers.

CONCLUSION

Although some theoretical models of recovery have suggested an important role of frontal cortex and cognitive control, the current results seem to suggest that reductions in posterior regions including superior parietal lobe and somatosensory cortex may play a key role in maintaining long-term abstinence from cigarettes.

IMPLICATIONS

The submitted research is a novel contribution to the study of successful nicotine abstinence, in part, because it includes individuals who have successfully overcome nicotine dependence. The use of ICA allowed for examination of large-scale resting-state networks throughout the brain without the need for specifying numerous regions of interest. This research supports the view that overcoming nicotine dependence may depend on reducing spontaneous activity in posterior regions of the brain rather than solely enhancing frontal control.

摘要

简介

了解支持成功戒烟的神经机制对于开发尼古丁依赖的新治疗方法至关重要。

方法

为此,我们比较了三个吸烟组(当前吸烟者、从不吸烟者和前吸烟者)的静息状态功能连接。我们使用独立成分分析(ICA)来比较我们组之间内在的、大规模网络的差异。使用这种技术,我们可以在不需要确定基于坐标的感兴趣区域的情况下比较静息状态网络中的组间差异。

结果

总体而言,ICA 产生的网络在很大程度上与之前的报告一致,包括双侧执行控制网络、突显网络和默认模式网络。三组之间的组间比较显示了三个网络的差异,包括感觉运动网络、背侧注意网络和默认模式网络,差异位于中央前回、外侧枕叶和顶叶上回。在显示差异的所有区域中,当前吸烟者的网络振幅均高于前吸烟者和从不吸烟者。

结论

尽管一些恢复的理论模型表明额叶皮层和认知控制的作用很重要,但目前的结果似乎表明,包括顶叶上回和躯体感觉皮层在内的后部区域的减少可能在维持长期戒烟方面起着关键作用。

意义

提交的研究是对成功戒烟研究的一项新贡献,部分原因是它包括成功克服尼古丁依赖的个体。ICA 的使用允许在整个大脑中检查大规模的静息状态网络,而无需指定大量的感兴趣区域。这项研究支持这样一种观点,即克服尼古丁依赖可能取决于减少大脑后部区域的自发性活动,而不仅仅是增强额叶控制。

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