Temporal Dynamics of Large-Scale Networks Predict Neural Cue Reactivity and Cue-Induced Craving.

Temporal Dynamics of Large-Scale Networks Predict Neural Cue Reactivity and Cue-Induced Craving.
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大规模网络的时间动力学预测神经提示反应性和提示引起的渴望。

DOI:
10.1016/j.bpsc.2020.07.006
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发表时间:
2020-11
期刊:
Biological psychiatry. Cognitive neuroscience and neuroimaging
影响因子:
--
通讯作者:
Janes AC
Janes AC
中科院分区:
其他
文献类型:
--
作者:
Wang KS;Kaiser RH;Peechatka AL;Frederick BB;Janes AC

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线索反应性是物质使用障碍的核心特征,通常会招募作为神经认知网络(包括默认模式网络(DMN)和显着网络(SN))关键节点的大脑区域。这些网络的静息态时间动态特性是否与随后的线索反应性和线索诱导的渴望有关尚不清楚。46尼古丁依赖的参与者的静息状态数据进行了评估,以确定DMN和SN状态的时间动态特性。时间动态集中在扫描过程中大脑活动停留在这些特定状态的总时间上。使用回归模型,我们研究了每种状态的总时间与关键DMN(后扣带皮层,内侧前额叶皮层)或SN节点(前扣带皮层[AI],背侧前扣带皮层[dACC])内对吸烟线索的神经反应性的关系。中介分析随后进行了研究,神经线索反应性如何介导的总时间在休息状态和主观线索诱导的渴望之间的关系。在DMN状态中花费的时间增加和在SN状态中花费的时间减少分别预测随后的线索诱导的AI和dACC增加。线索诱导的AI和dACC活性显著介导了DMN/SN时间与线索诱导的主观渴求之间的关系。我们的研究结果表明,DMN/SN和任务激活的SN节点,共同预测线索诱导的尼古丁依赖个体的渴望变化的静息态动态之间的显着关系。这些发现提出了一个神经生物学途径的线索诱导的渴望,开始与休息状态的时间动态,表明大脑响应外部刺激是由休息时间动态驱动。
Cue reactivity, a core characteristic of substance used disorders, commonly recruits brain regions that are key nodes in neurocognitive networks including the default mode network (DMN) and salience network (SN). Whether resting-state temporal dynamic properties of these networks relate to subsequent cue reactivity and cue-induced craving is unknown. The resting-state data of 46 nicotine-dependent participants were assessed to define temporal dynamic properties of DMN and SN states. Temporal dynamics focused on the total time across the scan session that brain activity resides in these specific states. Using regression models, we examined how the total time in each state related to neural reactivity to smoking cues within key DMN (posterior cingulate cortex, medial prefrontal cortex) or SN nodes (anterior insula [AI], dorsal anterior cingulate cortex [dACC]). Mediation analyses were subsequently conducted to study how neural cue reactivity mediates the relationship between total time in state at rest and subjective cue-induced craving. Increased time spent in the DMN state and decreased time spent in the SN state predicted subsequent cue-induced increases in the AI and dACC, respectively. Cue-induced AI and dACC activity significantly mediated the relationship between time spent in DMN/SN and cue-induced subjective craving. Our findings showed a significant relationship between resting-state dynamics of the DMN/SN and task-activated SN nodes that together predicted cue-induced craving changes in nicotine-dependent individuals. These findings propose a neurobiological pathway for cue-induced craving that begins with resting-state temporal dynamics, suggesting that brain responding to external stimuli is driven by resting temporal dynamics.
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