Adults 18 to 45, any sex, with Addiction Nicotine. Patients with the condition only — healthy volunteers not accepted.
Results — posted to ClinicalTrials.gov
Per-arm endpoint measurements with 95% confidence intervals where reported. Source: trial results section.
Percent Change in Reward-related Brain Activation as Measured by fMRIPrimary· Changes will be assessed across the task (~30 minutes) during the neurofeedback visit
The investigators will examine the change in brain activation in the target region (e.g., VTA) during the task. This includes prior to, during, and following real-time neurofeedback. Reported is the percent signal change from baseline (last 3 volumes of prior count condition).
Group
Value
95% CI
Reward-related Brain Region Feedback
0.4864
± 0.4798
Change in Reward-related Brain Activation as Measured by EEG Ratio of Beta to Theta PowerPrimary· Baseline (prior to real-time neurofeedback) and ~30 minutes following real-time neurofeedback
The investigators will examine the change in brain activation in the target region (e.g., VTA) during the task. This includes prior to, during, and following real-time neurofeedback. Reported here is the change from baseline (prior to real-time neurofeedback) and \~30 minutes following real-time neurofeedback. The ratio of Beta to Theta power indicates the level of active brainwave activity (Beta) versus the level of resting brainwave activity (Theta).
Group
Value
95% CI
Reward-related Brain Region Feedback
0.13
± 0.12
Onset to Smoking a CigaretteSecondary· up to 30 minutes following the neurofeedback session
The time (in minutes) to when participants smoke their first cigarette following the MRI session
Group
Value
95% CI
Reward-related Brain Region Feedback
1.00
± 1.41
Sponsor's own description
The purpose of this study is to see if a non-medication intervention can increase motivation and reward processing to non-drug reward cues (for example, a picture of one's favorite food) in individuals with and without nicotine dependence by observing brain activity using electroencephalography (EEG) and/or functional magnetic resonance imaging (fMRI). The investigators hypothesize that learning to increase brain activity to non-drug cues may improve reward responses and motivation to non-drug cues, and for individuals who smoke, may eventually result in improved smoking cessation outcomes.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
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Sponsor: as reported to ClinicalTrials.gov by Duke University
Last refreshed: 5 September 2024
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT03170258.