Cigarette smoking is the leading preventable cause of cancer in the United States. Helping smokers quit thus is one of the most effective means for reducing cancer burden in this country. Because most smokers find it incredibly difficult to stop smoking, enhancing the motivation to remain abstinent from cigarettes is widely seen as an essential step for improving their chances of success. Attempting to motivate quitting smokers to remain abstinent using nondrug rewards (e.g., money) is a particularly common intervention strategy. Although the use of nondrug rewards to aide quitting smokers is grounded in sound behavioral principles, mounting evidence indicates that nondrug rewards may be the least effective at reinforcing abstinence precisely when they are needed most (i.e., when smokers are tempted by an opportunity to smoke). Namely, simply anticipating having access to cigarettes in the near future appears to dampen the response to nondrug rewards in brain regions supporting reward valuation and motivational processing. This blunting is associated with a corresponding decrease in the willingness to resist smoking for a nondrug incentive, thus directly undermining the effectiveness of reward-based approaches to promoting cigarette abstinence. The proposed research addresses RFA-CA-13-017 (PQA1): Research Answers to NCI's Provocative Questions-Group A (PQA1) by testing the novel hypothesis that increasing brain responses to nondrug rewards may be an effective way to enhance the influence that such stimuli have on behavior in smokers. We propose to examine this idea using a technique called real-time functional magnetic resonance imaging (fMRI) neurofeedback. Real-time fMRI neurofeedback is a type of biofeedback that involves training individuals to control brain responses by presenting them with information about ongoing brain activity. Daily smokers (n=90) will be randomly assigned to three groups (intervention, sham neurofeedback control, and no feedback control; n=30 each). Those in the intervention group will receive valid real-time fMRI neurofeedback aimed at training them to volitionally increase activity in brain reward regions. The control groups will undergo nearly identical procedures but receive sham [placebo] neurofeedback and no neurofeedback, respectively. We hypothesize that only smokers provided with valid neurofeedback will learn to reliably and voluntarily increase activation in reward-related brain regions using cognitive strategies (Aim 1). We predict that this learning will be durable, such tha smokers will be able to continue using cognitive strategies to increase reward-related brain activity after neurofeedback is removed (Aim 2). We also predict that this learning will be functional, such that clinically-relevant decision making (the willingness to choose a nondrug reward over smoking) is influenced when smokers use the same strategies outside of the scanner (Aim 3). If successful, the proposed study will open new avenues for using neurofeedback to expedite scientific discovery and facilitate the development of effective smoking interventions that can be used by smokers on a broad scale.

Public Health Relevance

The decision to stop smoking cigarettes is one of the most beneficial lifestyle choices that individuals can make. Among many other things, those who quit smoking improve their appearance and hygiene, save significant amounts of money, and substantially reduce their risk of several types of cancer. Despite these clear benefits, most individuals struggle significantly - and ultimately fail - when attempting to quit smoking. The goa of the proposed project is to test a novel biobehavioral approach to facilitating smoking cessation. This approach, called real-time functional magnetic resonance imaging neurofeedback, is particularly promising because it does not have significant negative side effects and has the potential to be used both alone and as a potent complement to existing treatments. Results from the study will set the stage for future research aimed at using this novel method to expedite scientific discovery and develop new ways to improve the treatment of smoking.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21CA190093-02
Application #
8928110
Study Section
Special Emphasis Panel (ZCA1)
Program Officer
Ferrer, Rebecca
Project Start
2014-09-16
Project End
2017-08-31
Budget Start
2015-09-01
Budget End
2017-08-31
Support Year
2
Fiscal Year
2015
Total Cost
Indirect Cost
Name
Pennsylvania State University
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
003403953
City
University Park
State
PA
Country
United States
Zip Code
16802
Johnson, Benjamin N; Ashe, Melinda L; Wilson, Stephen J (2017) Self-Control Capacity as a Predictor of Borderline Personality Disorder Features, Problematic Drinking, and Their Co-occurrence. J Pers Disord 31:289-305
MacLean, R Ross; Nichols, Travis T; LeBreton, James M et al. (2016) Effects of cognitive load on neural and behavioral responses to smoking-cue distractors. Cogn Affect Behav Neurosci 16:588-600
Nichols, Travis T; Foulds, Jonathan; Yingst, Jessica M et al. (2016) Cue-reactivity in experienced electronic cigarette users: Novel stimulus videos and a pilot fMRI study. Brain Res Bull 123:23-32
Wilson, Stephen J; Sayette, Michael A (2015) Neuroimaging craving: urge intensity matters. Addiction 110:195-203
Ashe, Melinda L; Newman, Michelle G; Wilson, Stephen J (2015) Delay discounting and the use of mindful attention versus distraction in the treatment of drug addiction: a conceptual review. J Exp Anal Behav 103:234-48