Large-scale brain network coupling predicts acute nicotine abstinence effects on craving and cognitive function.

Large-scale brain network coupling predicts acute nicotine abstinence effects on craving and cognitive function.
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DOI:
10.1001/jamapsychiatry.2013.4091
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发表时间:
2014-05
期刊:
影响因子:
25.8
通讯作者:
Stein, Elliot A.
Stein, Elliot A.
中科院分区:
医学1区
文献类型:
--
作者:
Lerman, Caryn;Gu, Hong;Loughead, James;Ruparel, Kosha;Yang, Yihong;Stein, Elliot A.

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大规模脑网络的相互作用可能是精神疾病和成瘾性疾病中认知功能障碍的基础。验证显著性、执行控制和默认模式这3个大型脑网络之间的耦合强度将反映尼古丁戒断状态(相对于吸烟满足)并预测戒断引起的渴望和认知缺陷的假设,并开发反映3个大型网络之间相互作用综合强度的资源分配指数(RAI)。在一个学术医学中心进行的一项受试者内部功能磁共振成像研究比较了戒烟24小时后和吸烟饱腹后静息状态功能连接一致性强度。我们研究了禁欲诱导的RAI变化与主观、行为和神经功能改变的关系。我们纳入了37名年龄在19至61岁之间的健康吸烟志愿者进行分析。24小时不吸烟vs吸烟饱腹感。网络连接强度(主要)以及在戒烟和吸烟饱腹状态期间尼古丁戒断的主观、行为和神经测量的关系(次要)。与吸烟饱腹状态相比,戒烟状态下的RAI显著降低(左RAI, P = 0.002;右RAI, P = 0.04),表明默认模式和显著性网络之间的抑制作用较弱。较弱的网络间连接(降低的RAI)预测了戒烟引起的吸烟渴望(r = - 0.59; P = .007)和在随后的工作记忆任务中对默认模式活动的抑制较少(腹内侧前额叶皮层,r = - 0.66, P = .003;后扣带皮层,r = - 0.65, P = .001)。显著性和默认模式网络耦合的改变以及无法脱离默认模式网络可能是尼古丁依赖基础的认知/情感改变的关键。
Interactions of large-scale brain networks may underlie cognitive dysfunctions in psychiatric and addictive disorders. To test the hypothesis that the strength of coupling among 3 large-scale brain networks–salience, executive control, and default mode–will reflect the state of nicotine withdrawal (vs smoking satiety) and will predict abstinence-induced craving and cognitive deficits and to develop a resource allocation index (RAI) that reflects the combined strength of interactions among the 3 large-scale networks. A within-subject functional magnetic resonance imaging study in an academic medical center compared resting-state functional connectivity coherence strength after 24 hours of abstinence and after smoking satiety. We examined the relationship of abstinence-induced changes in the RAI with alterations in subjective, behavioral, and neural functions. We included 37 healthy smoking volunteers, aged 19 to 61 years, for analyses. Twenty-four hours of abstinence vs smoking satiety. Inter-network connectivity strength (primary) and the relationship with subjective, behavioral, and neural measures of nicotine withdrawal during abstinence vs smoking satiety states (secondary). The RAI was significantly lower in the abstinent compared with the smoking satiety states (left RAI, P = .002; right RAI, P = .04), suggesting weaker inhibition between the default mode and salience networks. Weaker inter-network connectivity (reduced RAI) predicted abstinence-induced cravings to smoke (r = −0.59; P = .007) and less suppression of default mode activity during performance of a subsequent working memory task (ventromedial prefrontal cortex, r = −0.66, P = .003; posterior cingulate cortex, r = −0.65, P = .001). Alterations in coupling of the salience and default mode networks and the inability to disengage from the default mode network may be critical in cognitive/affective alterations that underlie nicotine dependence.
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