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150 males and 150 females ages 14-17 years-old will be enrolled in an observational, longitudinal study. There are three planned in-person visits: a baseline assessment, an 18-month follow-up, and a 36-month follow-up. The in-person visits will include assessment of substance use and other individual differences (e.g., reward function, psychiatric history), neuromelanin-sensitive MRI, as well as functional brain activation collected while the participant is at rest (resting-state fMRI) and while the participant completes a Monetary Incentive Delay task. Subjects will also be asked to complete past 90-day substance use assessments remotely every 90 days for 36 months.
Substance use disorders affect several million people in the United States every year, create significant economic burden, and cause tremendous suffering at the person, family, and societal levels. This proposal aims to investigate the dynamic interplay between pediatric substance use (a risk factor for substance use disorders) and rate of neuromelanin accumulation (a proxy for dopamine function) for the first time. Thus, this research seeks to identify a brain mechanism (dopamine function) that could be targeted in youth by future treatments in order to prevent onset of substance use disorders.
The goals of this study require a prospective imaging design that relies on the naturally-occurring adolescent substance use (e.g., differences in timing and amount of substance use is treated as quasi-experimental). Importantly, the investigators will begin data collection in a cohort on the cusp of entering a high-risk period of substance use initiation and conclude data collection after 36-months to capture substance use escalation. An intermediate 18-month follow-up NM-MRI scan is needed to help clarify the magnitude of early changes in NM accumulation. Thus, this is a longitudinal, observational study.
Of note, the use of the Monetary Incentive Delay fMRI task at baseline, 18-month, and 36-month follow-ups fulfills the NIH criteria of a basic experimental studies involving humans (BESH). Thus, this study as a whole qualifies as a clinical trial based on the determination:
In brief, use of this fMRI task is a single arm, non-masked, non-randomized, basic science intervention. This does not match any of the NIH-defined clinical trials phases (n/a). The fMRI data (brain activation) is the primary outcome measure of the BESH intervention, but is a tertiary outcome in the context of this longitudinal study. The task is utilized for its short-lived, reversible, and benign effects (e.g., brief changes in brain activation).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Whole sample | Experimental | All enrolled subjects will complete a standard Monetary Incentive Delay Task if able. Inclusion of this task meets criteria for Basic Experimental Studies Involving Humans (BESH) |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Monetary Incentive Delay Task | Other | The Monetary Incentive Delay functional Magnetic Resonance Imaging task is well-characterized and commonly utilized in research settings to measure neural activation between win and loss conditions, as well as between phases of anticipation and consummation/outcome. A recent meta-analysis indicates that the task has been used in over 80 studies and 5,000 subjects as of Year 2022. The task is also valid and appropriate for use in children and adolescents, as demonstrated by its inclusion in National Institute on Drug Abuse ABCD study. The task is utilized for its short-lived, reversible, and/or benign effects on brain activation (e.g., brief processing of a reward cue). |
| Measure | Description | Time Frame |
|---|---|---|
| Amount of Brain Activation (BOLD Signal) during Monetary Incentive Delay Task by Condition | fMRI activation during task during win, loss, and no change conditions, as well as anticipation and consummation phases. | Baseline, 18-month, 36-month. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Greg Perlman, PhD | Contact | 1-631-638-1922 | greg.perlman@stonybrookmedicine.edu | |
| Lu-Ann Kozlowski, BSN | Contact | 1-631-632-9036 | lu-ann.kozlowski@stonybrook.edu |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Stony Brook Medicine | Recruiting | Stony Brook | New York | 11794 | United States |
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