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Understanding Brain Activity in Opioid Use Disorder During Methadone Treatment

This study is looking at how brain activity changes over time in people receiving methadone for Opioid Use Disorder (OUD). Researchers want to understand how brain connections, especially within an 'opioid abstinence network,' relate to opioid use during the first 12 weeks of treatment. You might be able to join if you are 18-50 years old, have OUD, are within the first 6 months of methadone treatment on a stable dose, and are eligible for MRI scans. The study aims to understand how your brain changes as you go through different phases of methadone treatment, which could help improve care for OUD in the future. The study is currently unclear on its recruitment status.

Study design
This is an interventional study with a planned enrollment of 10 participants. It is not specified if it is randomized or blinded.
What's involved
You will undergo fMRI scans while performing tasks like the Stroop task, Emotion-regulation task, and an Ambiguity reward task, as well as a resting state scan. You will also commit to longitudinal study visits.
Compensation
Not stated in the trial record.
Follow-up
After the main study, participants will complete a 15-minute follow-up every month for an additional three months.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.

NCT06207162

Longitudinal Neural Fingerprinting of Opioid-use Trajectories

Recruiting
NAAges 18–50InterventionalBasic science
Yale University
~10 participants
Updated 2026-05-27 on ClinicalTrials.gov
What's tested:fMRI

At a glance

Recruiting sites
1 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Change in Relationship between functional connectivity within canonical neural networks and within the 'opioid abstinence network' and opioid use
Measured over up to 12 weeks

Conditions

Opioid Use Disorder

Explore related trials

Opioid Use Disorder

Where it's being run

1 sites across 1 states
Connecticut1

Study leadership

  • Sarah Yip, PhD, MSc · PRINCIPAL_INVESTIGATOR · Yale University

Who to contact

Sarah Yip, PhD, MSc
[email protected]
203 704 7588
Email the study team

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Do you actually qualify for this trial?

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Eligibility criteria

Inclusion

within the first 6 months of methadone treatment for OUD and on a stable dose of methadone
eligibility for MRI scanning
willing to commit to longitudinal study visits

Exclusion

current psychosis, mania, or suicidal ideation with intent, as assessed during screening with the SCID-5
current co-occurring severe substance-use disorders (excluding nicotine and opioids), as assessed during screening with the SCID-5
current intoxication or acute withdrawal at time of study visit sufficient to prevent participation based on: behavioral observation, breathalyzer, and SOWS assessment (these individuals will be allowed to enroll at a later date once stable)
severe cognitive impairment (determined through consent process conducted by trained clinical research staff and during consent quiz or as indicated by a PROMIS Cognitive Function t-score \<30 (i.e., score indicating severe impairment)
Past or present history of intellectual disability or developmental disorder
Neurological disease (including seizures or epilepsy) as assessed by self-report and by consulting clinic records
Head trauma with loss of consciousness of more than 30 minutes
Organ dysfunction or any unstable or untreated medical conditions that may alter cerebral function or interfere with study participation

What this trial measures

  • Change in Relationship between functional connectivity within canonical neural networks and within the 'opioid abstinence network' and opioid useup to 12 weeks

    Relationship between functional connectivity within canonical neural networks and within the 'opioid abstinence network' and opioid use over 6 biweekly sessions. Functional connectivity is computed as the Pearson's correlation between two brain regions, or 'nodes'. This will be done in a pairwise manner to obtain connectivity values for all possible node pairs in the Shen atlas, a 268-node atlas covering the cortex, subcortex and cerebellum. Correlation coefficients are transformed to Z-scores using Fisher's r-to-z transformation. Connectivity within a given network is defined as the mean of the Z values for all of the edges (connection between two node pairs) within the network.