The Effects of Smoking Withdrawal On Resting State Functional Connectivity (SmokeAtt04)
The purpose of this study is to see how the brain differs between smoking regularly and after not smoking for 24 hours. The investigators will be using an MRI machine to get the information from adult smokers and non-smokers while they lie in the scanner with their eyes closed. Smokers will be scanned when they have not smoked for 24 hrs and shortly after smoking. It is our hypothesis that brain activity will be altered after not smoking for 24 hours.
|Study Design:||Intervention Model: Single Group Assignment
Masking: Open Label
|Official Title:||The Effects of Smoking Withdrawal on Resting State Functional Connectivity|
- Blood-oxygen-level-dependent (BOLD) signal [ Time Frame: following smoking cigarette 30 minutes prior to scan ] [ Designated as safety issue: No ]Smokers will be scanned after smoking to satiety. In order to be considered satiated, smokers will have to be regular smokers (smoking daily for at least 2 years).
- Blood-oxygen-level-dependent (BOLD) signal [ Time Frame: 24 hours abstinence ] [ Designated as safety issue: No ]Smokers will be asked to stop smoking 24 hours prior to the scan without the aid of nicotine replacement therapies. They will resume smoking as usual 24 hours after the scan.
|Study Start Date:||February 2012|
|Study Completion Date:||September 2012|
|Primary Completion Date:||September 2012 (Final data collection date for primary outcome measure)|
Behavioral: Abstain from smoking for 24 hours
The broad objective of this proposal is to identify functional neuroanatomical correlates of changes in brain functional connectivity during smoking abstinence. The investigators will measure changes in regional blood oxygenation levels using fMRI while adult smokers and non-smokers lie in the scanner with their eyes closed. Smokers will be scanned when they are abstinent from smoking for 24 hrs and shortly after smoking. Our primary hypothesis is that smoking abstinence will alter resting state brain activity (or resting state functional connectivity; RSFC) across widely distributed neural networks and that high-resolution fMRI will help in resolving the exact nature of such changes. Data will be analyzed using methods developed in our laboratory and applied to other resting state datasets. All of the procedures used in the study are well validated and introduce only minor risk to participants (e.g. blood draw; MRI).
Please refer to this study by its ClinicalTrials.gov identifier: NCT01632384
|United States, North Carolina|
|Duke Health Behavior Neuroscience Research Program|
|Durham, North Carolina, United States, 27705|
|Principal Investigator:||Francis J McClernon, Ph.D.||Duke University|