Real Time fMRI and Quitting Smoking
Status: | Recruiting |
---|---|
Conditions: | Smoking Cessation, Tobacco Consumers |
Therapuetic Areas: | Pulmonary / Respiratory Diseases |
Healthy: | No |
Age Range: | 18 - 65 |
Updated: | 2/14/2018 |
Start Date: | January 2, 2018 |
End Date: | February 28, 2018 |
Contact: | James Loughead, PhD |
Email: | loughead@upenn.edu |
Phone: | 215-746-7279 |
A Proof-of-concept Study of Real-time fMRI Neurofeedback Training for Smoking Cessation
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.
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.
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.
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.
Inclusion Criteria:
1. Treatment-seeking smokers between the ages of 18 and 65, reporting consumption of at
least 10 cigarettes per day for at least the past 6 months;
2. Planning to live in the area for at least the next month;
3. Capable of giving written informed consent, which includes compliance with the
requirements and restrictions listed in the combined consent and HIPAA form;
4. Able to communicate fluently in English (speaking, writing, and reading).
Exclusion Criteria:
Smoking Behavior:
1. Use of chewing tobacco or snuff or cigars;
2. Current enrollment or plans to enroll in another smoking cessation program or research
study in the next month;
3. Current or anticipated (within the next month) use of smoking cessation medications or
nicotine replacement therapy (NRT);
4. A baseline carbon monoxide (CO) reading less than 10ppm.
Alcohol/Drugs:
1. Current alcohol consumption that exceeds 25 standard drinks/week;
2. Positive breath alcohol concentration test (BrAC greater than or equal to 0.01) at
intake; a. Participants testing positive for breath alcohol with a reading equal to or
greater than .08 (the legal driving limit) or who are visibly impaired will be
instructed not to drive themselves home after the appointment. If a participant needs
to use a phone to call for a safe ride home, an office telephone will be made
available to the participant.
Medication:
Current use or recent discontinuation (within the past 30 days at the time of Intake) of:
1. Smoking cessation medication (e.g., Zyban, Wellbutrin, Wellbutrin SR, Chantix, NRT);
2. Anti-psychotic medications;
3. Any medication that could compromise participant safety as determined by the Principal
Investigator and/or Study Physician;
Daily use of:
4. Opiate-containing medications for chronic pain.
Medical/Neuropsychiatric:
1. Women who are pregnant, planning a pregnancy, and/or breast feeding. All female
subjects of childbearing potential will undergo a urine pregnancy test at Intake and
at each scan session.
2. History of epilepsy or a seizure disorder;
3. History of stroke;
4. Self-reported brain (or CNS) or spinal tumor;
5. Self-reported history of head trauma;
6. Self-reported history or current diagnosis of psychosis.
fMRI-Related:
1. Self-reported use of pacemakers, certain metallic implants, or presence of metal in
the eye as contraindicated for fMRI;
2. Self-reported history of claustrophobia;
3. Being left-handed;
4. Color blindness;
5. Weight greater than 250lbs at intake;
6. Self-reported history of gunshot wounds;
7. Any impairment preventing participants from using the response pad necessary for the
computer tasks;
8. Circumstances or conditions that may interfere with magnetic resonance imaging (MRI).
General Exclusion:
1. Any medical condition, illness, disorder, or concomitant medication that could
compromise participant safety or treatment, as determined by the Principal
Investigator;
2. Enrollment or plans to enroll in another research study;
3. Inability to provide informed consent or complete any of the study tasks as determined
by the Principal Investigator.
We found this trial at
1
site
3451 Walnut St
Philadelphia, Pennsylvania 19104
Philadelphia, Pennsylvania 19104
1 (215) 898-5000
Principal Investigator: James Loughead, PhD
Phone: 215-746-3782
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