Gan Hefan, Bu Junjie, Zeng Ginger Qinghong, Gou Huixing, Liu Mengyuan, Cui Guanbao, Zhang Xiaochu
Department of Radiology, the First Affiliated Hospital of USTC, Hefei National Research Center for Physical Sciences at the Microscale and School of Life Science, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China.
School of Biomedical Engineering, Anhui Medical University, Hefei, China.
BJPsych Open. 2023 Jan 31;9(2):e31. doi: 10.1192/bjo.2022.641.
Research into neural mechanisms underlying cue-induced cigarette craving has attracted considerable attention for its significant role in treatments. However, there is little understanding about the effects of exposure to smoking-related cues on electroencephalogram (EEG) microstates of smokers, which can reflect abnormal brain network activity in several psychiatric disorders.
To explore whether abnormal brain network activity in smokers on exposure to smoking-related cues would be captured by EEG microstates.
Forty smokers were exposed to smoking and neutral imagery conditions (cues) during EEG recording. Behavioural data and parameters for microstate topographies associated with the auditory (A), visual (B), salience and memory (C) and dorsal attention networks (D) were compared between conditions. Correlations between microstate parameters and cigarette craving as well as nicotine addiction characteristics were also analysed.
The smoking condition elicited a significant increase in the duration of microstate classes B and C and in the duration and contribution of class D compared with the neutral condition. A significant positive correlation between the increased duration of class C (smoking minus neutral) and increased craving ratings was observed, which was fully mediated by increased posterior alpha power. The increased duration and contribution of class D were both positively correlated with years of smoking.
Our results indicate that smokers showed abnormal EEG microstates when exposed to smoking-related cues compared with neutral cues. Importantly, microstate class C (duration) might be a biomarker of cue-induced cigarette craving, and class D (duration and contribution) might reflect the relationship between cue-elicited activation of the dorsal attention network and years of smoking.
对线索诱导的香烟渴望背后的神经机制的研究因其在治疗中的重要作用而备受关注。然而，对于接触吸烟相关线索对吸烟者脑电图（EEG）微状态的影响了解甚少，EEG微状态可以反映几种精神疾病中异常的脑网络活动。
探讨EEG微状态是否能捕捉到吸烟者在接触吸烟相关线索时的异常脑网络活动。
40名吸烟者在EEG记录期间分别接触吸烟和中性意象条件（线索）。比较两种条件下的行为数据以及与听觉（A）、视觉（B）、突显和记忆（C）以及背侧注意网络（D）相关的微状态地形图参数。还分析了微状态参数与香烟渴望以及尼古丁成瘾特征之间的相关性。
与中性条件相比，吸烟条件下微状态类别B和C的持续时间以及类别D的持续时间和贡献率均显著增加。观察到类别C增加的持续时间（吸烟减去中性）与渴望评分增加之间存在显著正相关，这完全由后部阿尔法功率增加介导。类别D增加的持续时间和贡献率均与吸烟年限呈正相关。
我们的结果表明，与中性线索相比，吸烟者在接触吸烟相关线索时表现出异常的EEG微状态。重要的是，微状态类别C（持续时间）可能是线索诱导的香烟渴望的生物标志物，类别D（持续时间和贡献率）可能反映了线索引发的背侧注意网络激活与吸烟年限之间的关系。
