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Clinical Trial Summary

Background:

- Smoking is associated with serious health risks. People who have mental illness are more likely to smoke. Researchers are studying the brain circuits linked with smoking and nicotine craving. This study will look at whether a specific brain circuit can explain the high rate of smoking in people with schizophrenia.

Objectives:

- To study brain activity in smokers and nonsmokers with and without schizophrenia, as well as their family members.

Eligibility:

- Current smokers (at least 100 cigarettes in the past year) and nonsmokers between 18 and 62 years of age in one of the following groups:

- Have been diagnosed with schizophrenia.

- Family members of those with schizophrenia.

- Healthy adults with no history of severe mental illness or brain trauma.

- Family members of the healthy adults.

Design:

- People in the study will be screened with a physical exam, medical history, questionnaires, and blood tests.

- They will have up to three visits: the screening visit and two study visits (each given 1 year apart).

- At the first study visit, those taking part will be trained in the tests they will do during the magnetic resonance imaging (MRI) scan. Then they will have the MRI scan.

- After the first study visit, current smokers will receive phone calls from the study researchers every other month for 1 year. They will be asked about their smoking habits.

- At the second study visit, current smokers and some nonsmokers will have another MRI scan and the same tests as before.

- Current smokers will receive a final phone call 1 year after the second study visit. They will be asked to give information about their smoking habits.


Clinical Trial Description

Objective

The health risk associated with tobacco use is high, and is even higher in people with severe mental illness. The underlying brain circuitry for smoking-mental illness comorbidity is unknown. Identifying brain comorbidity circuitry is important for new therapeutic development. This study will examine whether a specific brain circuitry can explain the high rate of smoking in patients with schizophrenia. Identifying the key brain circuits associated with smoking, especially smoking in a high risk population, will provide concrete biomarkers for new therapeutic development, and ultimately reducing the smoking related health burden.

Study Population

Schizophrenic patients and their family members, non-schizophrenia controls and their family members, including smokers and nonsmokers in each of the four groups will be included in this study.

Design

1. A cross-sectional study for all subjects at baseline. They will receive clinical and diagnostic interviews, functional, symptom, and cognitive testing, and MRI. They will also have blood drawn, to identify brain circuits and covariates associated with the severe smoking problem in schizophrenia.

2. A prospective longitudinal study design where smokers will be encouraged to quit smoking and smoking cessation support is provided if needed, followed by retesting of imaging and some clinical assessments, to identify brain circuits associated smoking cessation or the difficulty of quitting in schizophrenia and non-schizophrenia smokers.

Outcome Measures

Combining event-related and resting fMRI techniques, we propose to test the hypothesis that an abnormal dorsal anterior cingulate cortex (dACC) and ventral striatum (VS) circuit underlies the high prevalence of comorbid smoking in schizophrenia. We also propose to test specific clinical implications of this circuit including a within-subject event-related fMRI study to test the mechanistic implication of the rsFC signals, a prospective follow-up to test the circuit s predictive validity on smoking behavior change, and genetic studies to describe the path from genes to brain circuits to smoking behaviors. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT01369966
Study type Observational
Source National Institutes of Health Clinical Center (CC)
Contact
Status Completed
Phase
Start date May 16, 2011
Completion date December 24, 2014

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