Dataset Information

Automatized smoking-related action schemata are reflected by reduced fMRI activity in sensorimotor brain regions of smokers.

ABSTRACT: In the later stages of addiction, automatized processes play a prominent role in guiding drug-seeking and drug-taking behavior. However, little is known about the neural correlates of automatized drug-taking skills and drug-related action knowledge in humans. We employed functional magnetic resonance imaging (fMRI) while smokers and non-smokers performed an orientation affordance task, where compatibility between the hand used for a behavioral response and the spatial orientation of a priming stimulus leads to shorter reaction times resulting from activation of the corresponding motor representations. While non-smokers exhibited this behavioral effect only for control objects, smokers showed the affordance effect for both control and smoking-related objects. Furthermore, smokers exhibited reduced fMRI activation for smoking-related as compared to control objects for compatible stimulus-response pairings in a sensorimotor brain network consisting of the right primary motor cortex, supplementary motor area, middle occipital gyrus, left fusiform gyrus and bilateral cingulate gyrus. In the incompatible condition, we found higher fMRI activation in smokers for smoking-related as compared to control objects in the right primary motor cortex, cingulate gyrus, and left fusiform gyrus. This suggests that the activation and performance of deeply embedded, automatized drug-taking schemata employ less brain resources. This might reduce the threshold for relapsing in individuals trying to abstain from smoking. In contrast, the interruption or modification of already triggered automatized action representations require increased neural resources.

SUBMITTER: Isik AI

PROVIDER: S-EPMC5493837 | biostudies-other | 2017

REPOSITORIES: biostudies-other

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Automatized smoking-related action schemata are reflected by reduced fMRI activity in sensorimotor brain regions of smokers.

Isik Ayse Ilkay AI Naumer Marcus J MJ Kaiser Jochen J Buschenlange Christian C Wiesmann Sandro S Czoschke Stefan S Yalachkov Yavor Y

NeuroImage. Clinical 20170617

In the later stages of addiction, automatized processes play a prominent role in guiding drug-seeking and drug-taking behavior. However, little is known about the neural correlates of automatized drug-taking skills and drug-related action knowledge in humans. We employed functional magnetic resonance imaging (fMRI) while smokers and non-smokers performed an orientation affordance task, where compatibility between the hand used for a behavioral response and the spatial orientation of a priming st ...[more]

PMID: 28702352

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Project description:IntroductionSmoking denormalization has been paralleled by reduced smoking prevalence, but smoking rates among socioeconomically disadvantaged populations remain high. The social unacceptability of smoking has also led to increased perceptions of smoking-related stigma. By examining how smoking stigma influences cessation intervention effectiveness, we can better tailor interventions to socioeconomically disadvantaged smokers.Aims and methodsData are from a randomized controlled trial evaluating the effectiveness of a proactive cessation intervention on abstinence. Current smokers enrolled in Minnesota Health Care Programs were randomized to proactive outreach (n = 1200) or usual care (n = 1206). The intervention included mailings, telephone outreach, counseling, and access to free cessation treatments. Using baseline measurements, groups with lower (n = 1227) and higher (n = 1093) perceived stigma were formed. Intervention, stigma, and their interaction term were added to a logistic regression modeling abstinence at 12 months.ResultsLower perceived smoking-related stigma was associated with less support for quitting, lower rates of physician quitting advice, and less motivation for quitting. A logistic regression modeling abstinence found a significant intervention × stigma interaction. The proactive intervention was more effective among smokers with lower perceived smoking-related stigma (odds ratio 1.94, 95% confidence interval, 1.29 to 2.92) than those with higher perceived smoking-related stigma (odds ratio 1.04, 95% confidence interval, 0.70 to 1.55).DiscussionSmokers with lower perceived smoking-related stigma had social environments that were conducive to smoking, received less physician advice to quit, and were less motivated to quit than higher stigma smokers. Despite these barriers, the intervention was more effective for lower stigma smokers, suggesting that proactive outreach is an efficient treatment for these hard-to-reach smokers.ImplicationsSmoking denormalization has led to increased perceptions of smoking-related stigma among many smokers; however, little is known about how this stigma influences the cessation process. In the present study, smokers with lower levels of perceived smoking-related stigma lived in social environments that were more conducive to smoking and were less motivated to quit than higher stigma smokers. Despite these barriers, our proactive outreach cessation intervention was more effective for lower stigma smokers, suggesting that interventions which utilize proactive outreach to stimulate interest in quitting and offer facilitated access to free cessation treatments are an effective treatment approach for these hard-to-reach smokers. These strategies may be particularly effective for motivating smokers enrolled in government-subsidized health insurance programs to take advantage of cessation resources.

Dataset Information

Automatized smoking-related action schemata are reflected by reduced fMRI activity in sensorimotor brain regions of smokers.

Publications

Automatized smoking-related action schemata are reflected by reduced fMRI activity in sensorimotor brain regions of smokers.

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