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首页> 外文期刊>Brain: A journal of neurology >Effect of deactivation of activity patterns related to smoking cue reactivity on nicotine addiction
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Effect of deactivation of activity patterns related to smoking cue reactivity on nicotine addiction

机译:烟草成瘾吸烟辐射反应性活动模式的失活效果

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摘要

With approximately 75% of smokers resuming cigarette smoking after using the Gold Standard Programme for smoking cessation, investigation into novel therapeutic approaches is warranted. Typically, smoking cue reactivity is crucial for smoking behaviour. Here we developed a novel closed-loop, smoking cue reactivity patterns EEG-based neurofeedback protocol and evaluated its therapeutic efficacy on nicotine addiction. During an evoked smoking cue reactivity task participants' brain activity patterns corresponding to smoking cues were obtained with multivariate pattern analysis of all EEG channels data, then during neurofeedback the EEG activity patterns of smoking cue reactivity were continuously deactivated with adaptive closed-loop training. In a double-blind, placebo-controlled, randomized clinical trial, 60 nicotine-dependent participants were assigned to receive two neurofeedback training sessions (similar to 1 h/session) either from their own brain (n = 30, real-feedback group) or from the brain activity pattern of a matched participant (n = 30, yoked-feedback group). Cigarette craving and craving-related P300 were assessed at pre-neurofeedback and post-neurofeedback. The number of cigarettes smoked per day was assessed at baseline, 1 week, 1 month, and 4 months following the final neurofeedback visit. In the real-feedback group, participants successfully deactivated EEG activity patterns of smoking cue reactivity. The real-feedback group showed significant decrease in cigarette craving and craving-related P300 amplitudes compared with the yoked-feedback group. The rates of cigarettes smoked per day at 1 week, 1 month and 4 months follow-up decreased 30.6%, 38.2%, and 27.4% relative to baseline in the real-feedback group, compared to decreases of 14.0%, 13.7%, and 5.9% in the yoked-feedback group. The neurofeedback effects on craving change and smoking amount at the 4-month follow-up were further predicted by neural markers at pre-neurofeedback. This novel neurofeedback training approach produced significant short-term and long-term effects on cigarette craving and smoking behaviour, suggesting the neurofeedback protocol described herein is a promising brain-based tool for treating addiction.
机译:在利用黄金标准计划的吸烟后,大约75%的吸烟者恢复吸烟吸烟,需要调查新的治疗方法。通常,吸烟的提示反应性对于吸烟行为至关重要。在这里,我们开发了一种新型闭环,吸烟提示反应性模式EEG基神经融合协议,并评估其对尼古丁成瘾的治疗疗效。在诱发的吸烟提示反应性任务中,通过对所有EEG通道数据的多变量模式分析获得对应于吸烟线索的脑活动模式,然后在神经融合期间,通过自适应闭环训练连续停用吸烟提示反应性的EEG活性模式。在双盲,安慰剂控制的随机临床试验中,分配了60名尼古丁依赖参与者,从他们自己的大脑中获得两个神经融合训练会话(类似于1小时/会议)(n = 30,实体反馈组)或来自匹配参与者的大脑活动模式(n = 30,Yoked-Fextback组)。在预先神经融合和后神经融合后评估香烟渴望和渴望相关的P300。在最终神经融合访问后,每天吸烟的香烟数量在基线,1周,1个月和4个月评估。在实际反馈组中,参与者成功停用了吸烟暗示反应性的脑电图活动模式。与轭反馈组相比,真实反馈组显示出卷烟渴望和渴望相关的P300振幅的显着降低。相对于实际反馈组的基线,每天每天吸烟,每天吸烟,每天吸烟,1个月和4个月的随访时间减少了14.0%,13.7%和14.0%,13.7%轭反馈组5.9%。通过在术前封融合的神经标记物进一步预测了对4个月随访的渴望和吸烟量的神经融合影响。这种新型神经融合训练方法对卷烟渴望和吸烟行为产生了显着的短期和长期影响,表明本文所述的神经融合协议是一种用于治疗成瘾的有前途的基于脑的工具。

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