Literature DB >> 20441798

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

David M Cole1, Christian F Beckmann, Christopher J Long, Paul M Matthews, Michael J Durcan, John D Beaver.   

Abstract

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. Copyright (c) 2010 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20441798     DOI: 10.1016/j.neuroimage.2010.04.251

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  99 in total

1.  Effects of chronic and acute stimulants on brain functional connectivity hubs.

Authors:  Anna B Konova; Scott J Moeller; Dardo Tomasi; Rita Z Goldstein
Journal:  Brain Res       Date:  2015-02-24       Impact factor: 3.252

2.  A multivariate pattern analysis of resting-state functional MRI data in Naïve and chronic betel quid chewers.

Authors:  Zeqiang Linli; Xiaojun Huang; Zhening Liu; Shuixia Guo; Adellah Sariah
Journal:  Brain Imaging Behav       Date:  2021-06       Impact factor: 3.978

Review 3.  Integrating ecological momentary assessment and functional brain imaging methods: new avenues for studying and treating tobacco dependence.

Authors:  Stephen J Wilson; Joshua M Smyth; Robert R MacLean
Journal:  Nicotine Tob Res       Date:  2013-10-16       Impact factor: 4.244

4.  Nicotine modulates human brain plasticity via calcium-dependent mechanisms.

Authors:  Jessica Grundey; Jerick Barlay; Giorgi Batsikadze; Min-Fang Kuo; Walter Paulus; Michael Nitsche
Journal:  J Physiol       Date:  2018-10-17       Impact factor: 5.182

5.  Nicotine and Resting-State Functional Connectivity: Effects of Intermittent Doses.

Authors:  Wei Huang; Kelly Tam; Janaque Fernando; Meghan Heffernan; Jean King; Joseph R DiFranza
Journal:  Nicotine Tob Res       Date:  2015-02-02       Impact factor: 4.244

6.  Smoking and Neuroimaging: A Review.

Authors:  Hedy Kober; Cameron M Deleone
Journal:  Curr Cardiovasc Risk Rep       Date:  2011-12-01

Review 7.  Biomarkers for smoking cessation.

Authors:  K J Bough; C Lerman; J E Rose; F J McClernon; P J Kenny; R F Tyndale; S P David; E A Stein; G R Uhl; D V Conti; C Green; S Amur
Journal:  Clin Pharmacol Ther       Date:  2013-03-18       Impact factor: 6.875

8.  Age-related differences in working memory deficits during nicotine withdrawal.

Authors:  Mary Falcone; E Paul Wileyto; Kosha Ruparel; Raphael T Gerraty; Leah LaPrate; John A Detre; Ruben Gur; James Loughead; Caryn Lerman
Journal:  Addict Biol       Date:  2013-03-18       Impact factor: 4.280

9.  Resting-state activity in the left executive control network is associated with behavioral approach and is increased in substance dependence.

Authors:  Theodore D Krmpotich; Jason R Tregellas; Laetitia L Thompson; Marie T Banich; Amanda M Klenk; Jody L Tanabe
Journal:  Drug Alcohol Depend       Date:  2013-02-19       Impact factor: 4.492

10.  Severity of dependence modulates smokers' functional connectivity in the reward circuit: a preliminary study.

Authors:  Zhujing Shen; Peiyu Huang; Wei Qian; Chao Wang; Hualiang Yu; Yihong Yang; Minming Zhang
Journal:  Psychopharmacology (Berl)       Date:  2016-03-09       Impact factor: 4.530

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.