Nicotine replacement in abstinent smokers improves cognitive withdrawal symptoms with modulation of resting brain network dynamics

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• 作者：David M. Cole ; Christian F. Beckmann ; Christopher J. Long ; Paul M. Matthews ; Michael J. Durcan ; John D. Beaver
• 关键词：Nicotine ; Cognition ; Withdrawal ; fMRI ; Functional connectivity ; Resting state ; Networks ; Default mode ; Executive control ; Independent component analysis
• 刊名：NeuroImage
• 出版年：2010
• 出版时间：15 August 2010
• 年：2010
• 卷：52
• 期：2
• 页码：590-599
• 全文大小：1093 K

文摘

Symptoms of cognitive impairment during smoking withdrawal can be ameliorated by nicotine replacement. To define brain mechanisms contributing to this therapeutic effect, we conducted a functional connectivity analysis of resting-state fMRI in 17 abstinent smokers following nicotine replacement in a double-blind, placebo-controlled, crossover design. We found that individual differences in cognitive withdrawal symptom improvements after nicotine replacement were associated with increased inverse coupling between executive control and default mode brain networks. Furthermore, improvements in withdrawal symptoms were negatively correlated with altered functional connectivity within the default mode network, and with connectivity between the executive control network and regions implicated in reward processing. These findings demonstrate that nicotine administration in abstinent smokers modulates dynamic interactions between large-scale cognitive brain networks in the resting state. We specifically highlight the role of midline and prefrontal network regions in the neurocognitive response to nicotine pharmacotherapy and suggest that altered functional connectivity patterns of these networks reflect their engagement in reward and salience processing during smoking withdrawal. Individual differences in resting brain functional connectivity may predict therapeutic outcomes in nicotine addiction and other conditions associated with cognitive impairments.