Zhang Mi, Ren Junjie, Li Ni, Li Yongyi, Yang Linxi, Wei Wenzhuo, Qiu Juan, Zhang Xiaochu, Li Xiaoming
School of Mental Health and Psychological Science, Anhui Medical University, Hefei, Anhui, China.
Hefei National Laboratory for Physical Sciences at the Microscale, and School of Life Sciences, University of Science and Technology of China, Hefei, Anhui, China.
AIMS Neurosci. 2025 Feb 21;12(1):15-31. doi: 10.3934/Neuroscience.2025002. eCollection 2025.
Despite hypnosis showing efficacy in treating nicotine dependence, its neurobiological impacts on a smokers' brain function remain underexplored. Thirty-three smokers underwent electroencephalography (EEG) recording during pre- and post-hypnosis sessions, each 8 minutes long, alongside Tobacco Craving Questionnaire (TCQ) assessments. Four distinct EEG microstate classes (A, B, C, D) were identified. Daily cigarette consumption negatively correlated with the microstate A duration (r = -0.39, P = 0.03). Hypnosis increased the microstate A parameters while decreasing those of microstate B. Reduced microstate B parameters positively correlated with lower TCQ scores (r = 0.46, P = 0.02). Post-hypnosis, there was a decreased variability and sample entropy in low-frequency theta-band signals, indicating a shift towards more ordered theta oscillations. This shift was inversely related to the microstate D parameters and positively correlated with the microstate C occurrences. Dynamic changes in the brain microstates and theta oscillations elucidate the neurological mechanisms underlying hypnotherapy's effectiveness in treating smoking addiction. These findings provide new insights into the mechanisms by which hypnosis influences brain function and offer potential biomarkers for the treatment of smoking addiction, thus deepening our understanding of therapeutic approaches for substance use disorders.
尽管催眠在治疗尼古丁依赖方面显示出疗效，但其对吸烟者大脑功能的神经生物学影响仍未得到充分探索。33名吸烟者在催眠前和催眠后阶段接受了脑电图（EEG）记录，每个阶段时长8分钟，同时还进行了烟草渴望问卷（TCQ）评估。识别出了四种不同的脑电微状态类别（A、B、C、D）。每日吸烟量与微状态A的持续时间呈负相关（r = -0.39，P = 0.03）。催眠增加了微状态A的参数，同时降低了微状态B的参数。微状态B参数的降低与较低的TCQ得分呈正相关（r = 0.46，P = 0.02）。催眠后，低频θ波段信号的变异性和样本熵降低，表明向更有序的θ振荡转变。这种转变与微状态D参数呈负相关，与微状态C的出现呈正相关。脑微状态和θ振荡的动态变化阐明了催眠疗法治疗吸烟成瘾有效性的神经学机制。这些发现为催眠影响大脑功能的机制提供了新的见解，并为吸烟成瘾的治疗提供了潜在的生物标志物，从而加深了我们对物质使用障碍治疗方法的理解。
