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Multimodal Neuroimaging Genetic Biomarkers of Nicotine AddictionSeverity

Completed
Conditions
Nicotine Dependence
Registration Number
NCT01867411
Lead Sponsor
National Institute on Drug Abuse (NIDA)
Brief Summary

Background:

- Smoking is a difficult habit to quit, and some people find it more difficult to quit than others do. Nicotine is the substance in cigarettes that makes smoking so addictive. Nicotine changes some patterns of brain activity, and smokers have differences in brain activity when compared to non-smokers. Some genes make it more likely that a person will become addicted to smoking. Researchers want to study how nicotine interacts with genes and brain activity. This may help develop better treatments to help people quit smoking.

Objectives:

- To develop a test of nicotine dependence, using brain activity and genetic analysis, which may be useful in predicting success in smoking cessation and in the development of new smoking cessation treatment targets.

Eligibility:

* Main group: Current smokers between 18 and 55 years of age who are seeking treatment to quit.

* Comparison group: Current smokers between 18 and 55 years of age who are not seeking to quit.

* Comparison group: Healthy former smokers between 18 and 55 years of age.

* Comparison group: Healthy nonsmoking volunteers between 18 and 55 years of age.

Design:

* Participants will be screened with a physical exam and medical history. Blood samples will be collected.

* The three comparison groups will have one magnetic resonance imaging (MRI) scan session. They will have tests of thinking, concentration, and memory both inside the scanner, and while sitting in front of a computer.

* Current smokers who are trying to quit must be willing to undergo a course of nicotine treatment that includes weekly counseling (for 12 weeks) and e-cigarettes. Participants will attempt smoking abstinence and will have a total of 6 MRI scanning sessions. They will do thinking, concentration, and memory tasks inside and outside of the scanner.

* For smokers, the first scanning session will take place before they attempt to quit. This will be a baseline scan. The second scanning session will take place 48 hours after having their last real cigarette. After this scan, they will use electronic cigarettes to help quit their habit.

* After using e-cigarettes for two weeks, smokers will have a third scan session.. They will then gradually taper their use of the electronic cigarettes over the course of three weeks, at which point they will be nicotine abstinent.

* After about 5 weeks of abstinence, they will have the fourth scan. The fifth scan will be approximately 6 months after start of the study, and the final scan will take place at about 1 year from the study start.

* Smokers will continue to receive support on quitting smoking until the study ends at about 1 year.

Detailed Description

Objective: To develop a neuroimaging/genetic/epigenetic biomarker of nicotine dependence severity that may be useful in predicting success in smoking cessation and in development of new smoking cessation treatment targets. Further, by evaluating those who vape nicotine, findings will determine whether biomarkers differ between those who smoke or vape, allowing for the development of cessation

strategies that relate to preferred nicotine delivery.

Study population: Four groups will be studied: target group of treatment seeking smokers/vapers; nontreatment seeking current smokers/vapers; never smokers/never vapers and former smokers. We estimate that we will need n=50/subgroup completers to have sufficient power to develop the brain/genetics biomarkers.

Design: This study consists of a 4 group between/within subject design. The experimental group will proceed in 4 phases: Baseline (scan 1), peak withdrawal (scan 2), stable on nicotine replacement (scan 3), and complete abstinence (scans 4-6). Counseling will start after the first scan session and will generally continue weekly until scan 4 (about 12 weeks). After scan 4, therapeutic support will be

provided at least monthly via phone until completion of the protocol. The non-treatment seeker comparison group will be scanned twice; at baseline (scan 1) and at peak withdrawal (scan 2). Each of the non-nicotine user comparison groups (non-nicotine users and Ex-smokers) will be scanned only at baseline (scan 1). Genetic and epigenetic markers will be obtained in all groups.

Outcome measures: Network and multivariate pattern analysis, behavior on a decision making task and task based and resting state blood oxygen level-dependent (BOLD) activation in neural circuits relevant to nicotine addiction during fMRI scanning. Secondary outcomes include BOLD response comparisons between nicotine replacement and typical nicotine use and genetic markers of nicotine addiction and relapse susceptibility.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
159
Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Change in BOLD signal and functional connectivity related to task parameters, between drug conditions (i.e. on and off nicotine) and between groupseach scan visit

1) Change in BOLD signal and functional connectivity related to task parameters, between drug conditions (i.e. on and off nicotine) and between groups: will provide important insight into the neurobiological mechanisms underlying acute and chronic nicotine withdrawal, in particular those related to anhedonia, negative affect, cognitive control and impulsive decision making.

Behavioral performance on each taskeach scan visit

4) Behavioral performance on each of the tasks assessing working memory, attention, processing speed, inhibitory control processes, cognitive control, reward responsiveness, amygdala, striatal, and impulsive decision making (e.g., reaction time, error rate, hit rate, reward bias): will provide task-related parameters necessary for analysis of BOLD and resting state data. Performance data will function as a secondary outcome by providing behavioral validation of acute and chronic nicotine withdrawal effects.

Genetic and epigenetic dataeach scan visit

2) Genetic and epigenetic data. These data will be included into the network and pattern classification models discussed above as features in the classifier. They will also be used as regressors, covariates or dichotomous variable in the above BOLD task analysis.

Resting state MRI at follow-upeach scan visit

3) Resting state MRI at follow-up. Resting state MRI will be assessed between- and within- groups as a function of relapse status and time since last treatment visit at each of the follow-up time-points (4 weeks, 3, 6 and 12 months). These data will be entered into the network and pattern classification models discussed above. This will allow us to address the following questions:i. What characteristics of rsFC are associated with treatment success (vs. failure)? ii. Are there characteristics of rsFC that vary as a function of time post-treatment in successfully abstinent individuals?

Self-reported craving, withdrawal symptoms & mood/affecteach scan visit

5) Self-reported craving, withdrawal symptoms and mood/affect: will be employed as regressors in the analysis of task and resting BOLD data. They will also provide the primary means of validating the acute nicotine withdrawal manipulation.

Smoking status at 4wks, 3, 6 and 12 months.each scan visit

6) Smoking status at 4 weeks, 3, 6 and 12 months: Smoking status (relapse vs. abstinent) at each of the follow-up time points will be based on 7-day point prevalence defined as no smoking (not even a puff) or use of any tobacco products for the past 7 days. This is a standard method of assessing abstinence and dichotomizing relapse status at follow-up. Whenever abstinence at follow-up is assessed in-person, self-reported abstinence will be corroborated with breath COand urine cotinine levels.

Secondary Outcome Measures
NameTimeMethod
2) Structural MRI and DTI dataeach visit

2) Structural MRI and DTI data

1) Ratings and scores on self-report characterization measureseach visit

1) Ratings and scores on self report characterization measures

Trial Locations

Locations (1)

National Institute on Drug Abuse

🇺🇸

Baltimore, Maryland, United States

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