University of Pennsylvania
Philadelphia, Pennsylvania, 19104, United States
NCT Number: NCT03302026
This study will examine how real-time functional magnetic resonance imaging (rt-fMRI) feedback can be used to modulate brain activation in the context of smoking cues in order to resist craving. Participants will complete a total of three fMRI scanning sessions with a cue suppression task with or without neurofeedback training (NFT). Participants will be randomized to an active group (active NFT) or a control group (no NFT) during the scanning sessions. At the end of the third session, all participants will complete a validated smoking lapse laboratory paradigm to evaluate effects of NFT on smoking behavior.
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Notify Me18 year–65 year
All sexes
Interventional
Not applicable
Philadelphia, Pennsylvania, 19104, United States
Smoking is the greatest preventable cause of mortality and a significant economic burden. Even with the best available treatments, most smokers relapse within days or weeks after a quit attempt. Nicotine replacement therapy, the most widely used pharmacotherapy, yields end of treatment quit rates of <25% suggesting that managing nicotine withdrawal is not sufficient. A smoker's response to smoking cues is one factor that increases risk of relapse. This study will examine how real-time functional magnetic resonance imaging (rt-fMRI) feedback can be used to modulate brain activation in the context of smoking cues in order to resist craving. First, we will conduct a pilot study in 12 smokers for technical development and to evaluate the feasibility of the proposed study procedures. Participants will complete a total of three fMRI scanning sessions with a cue suppression task with or without neurofeedback training (NFT). Participants will be randomized to an active group (active NFT) or a control group (no NFT) during the scanning sessions. At the end of the third session, all participants will complete a validated smoking lapse laboratory paradigm to evaluate effects of NFT on smoking behavior. Upon successful completion of the technical development phase, we will proceed to a proof-of-concept phase, which will recruit 72 smokers to evaluate the efficacy of NFT for smoking behavior.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Smoking Behavior:
Alcohol/Drugs:
Medication:
Current use or recent discontinuation (within the past 30 days at the time of Intake) of:
Daily use of:
Medical/Neuropsychiatric:
fMRI-Related:
General Exclusion:
Real-time fMRI (rt-fMRI) allows for rapid analysis of brain activation while an individual is actively performing a task, and can be used to provide real-time neurofeedback to individuals during fMRI scanning. Using neurofeedback, individuals can learn to modulate activity in specific regions of the brain. We propose to use rt-fMRI neurofeedback training to help smokers consciously modulate activation in areas related to cravings and self-control in order to improve control smoking urges. Participants will complete four sessions: an intake session and 3 scanning visits. The primary outcome is the ability to resist smoking during a validated smoking lapse paradigm.
Time frame: Study session 3 (scan day 3)
Time (sec) to first cigarette during a 50 minute monitored smoking lapse period in smoking laboratory
Time frame: Study session 3 (scan day 3)
Change in mean percent signal change for Cue minus Neutral contrasts in activated brain regions
University of Pennsylvania
Other
A Proof-of-concept Study of Real-time fMRI Neurofeedback Training for Smoking Cessation
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