- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06136247
Integrating Brain, Neurocognitive, and Computational Tools in OUD
December 3, 2025 updated by: University of Pennsylvania
Integrating Brain, Neurocognitive, and Computational Tools in Opioid Use Disorder (OUD) to Characterize Executive Function and to Predict Clinical Outcomes.
The 5-year K01 Mentored Research Scientist proposal will employ brain, neurocognitive, and computational tools (e.g., machine learning) to understand the impact of opioid-use disorder (OUD) and common co-occurring issues on executive function and clinical outcomes.
There have been record numbers of fatal and non-fatal overdoses (ODs) associated with opioids (and other drugs) in the past 12-months.
Improving classification and predictive capabilities to enhance treatment and prevent relapse is of the upmost importance.
Deficits in neurocognition often are associated with poor treatment outcomes (e.g., more drug use, medication non-adherence), yet co-occurring issues associated with OUD (e.g., depression, anxiety, physical/sexual abuse, neglect) make it difficult to parse which contributing factors lead to worse executive function (EF) and poorer treatment outcomes.
Novel brain, neurocognitive, and computational tools are needed to help determine these differences, in order to lay the foundation for better treatments.
This need has shaped both the training plan and the associated research project in a 5-year K01 Mentored Research Scientist proposal, building on Dr. Regier's prior preclinical and clinical addiction neuroscience experience (focused mostly on cocaine-use disorders, cue-reactivity, subcortical networks, prior adversity, and univariate imaging techniques).
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Study Type
Observational
Enrollment (Estimated)
192
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Megan Ivey, MS
- Phone Number: 215-746-7712
- Email: megan.ivey@pennmedicine.upenn.edu
Study Contact Backup
- Name: Paul Regier, PhD
- Phone Number: 215-746-3706
- Email: paul.regier@pennmedicine.upenn.edu
Study Locations
-
-
Pennsylvania
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Philadelphia, Pennsylvania, United States, 19104
- Recruiting
- University of Pennsylvania
-
Contact:
- Megan Ivey, MS
- Phone Number: 215-746-7712
- Email: megan.ivey@pennmedicine.upenn.edu
-
Principal Investigator:
- Paul Regier, PhD
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
N/A
Sampling Method
Non-Probability Sample
Study Population
96 individuals living with OUD and on stable MAT, as well as 96 individuals who are considered healthy controls, all living in the greater Philadelphia area and able to attend study visits at the University of Pennsylvania.
Description
Inclusion Criteria:
- men and women with moderate to severe opioid use disorder by Diagnostic and Statistical Manual, version 5, (DSM-V) criteria on a stable (at least one week without change) dose of oral buprenorphine-naloxone or methadone. (for OUD group)
- Eligible participants will be between 18-60 years of age;
- able to read at an eighth-grade level;
- able to speak English.
Exclusion Criteria:
- unable to understand or complete the tasks.
- Certain mental health conditions, including (but not limited to) bipolar I with current manic episode, schizophrenia, and schizoaffective disorder, determined by the Principal Investigator (PI) to interfere with study participation.
- moderate or severe substance-use disorder (for Healthy Controls)
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Healthy controls
Healthy controls, people not living with opioid use disorder or on medication assisted therapy for such.
|
The Penn Computerized Neurobehavioral Battery (CNB) consists of a series of cognitive tasks, measuring accuracy and speed of performance in major cognitive domains, including executive functions (i.e., abstraction, sustained attention, working memory), episodic memory (i.e., verbal, facial, and spatial memory), complex cognitive processing (i.e., language reasoning, nonverbal reasoning, spatial processing), social cognition (i.e., emotion identification, emotion intensity differentiation, age differentiation) and processing speed (i.e., sensorimotor and motor).
Functional near-infrared spectroscopy (fNIRS) is a noninvasive optical imaging technique that measures changes in oxygenated and deoxygenated hemoglobin (Hb) concentrations within the brain by means of their characteristic absorption spectra of the wavelengths range of 700-1000 nm [35,36].
|
|
Patients living with Opioid Use Disorder
Individuals with opioid use disorder who have been on a stable dose of medication assisted therapy for at least a week.
|
The Penn Computerized Neurobehavioral Battery (CNB) consists of a series of cognitive tasks, measuring accuracy and speed of performance in major cognitive domains, including executive functions (i.e., abstraction, sustained attention, working memory), episodic memory (i.e., verbal, facial, and spatial memory), complex cognitive processing (i.e., language reasoning, nonverbal reasoning, spatial processing), social cognition (i.e., emotion identification, emotion intensity differentiation, age differentiation) and processing speed (i.e., sensorimotor and motor).
Functional near-infrared spectroscopy (fNIRS) is a noninvasive optical imaging technique that measures changes in oxygenated and deoxygenated hemoglobin (Hb) concentrations within the brain by means of their characteristic absorption spectra of the wavelengths range of 700-1000 nm [35,36].
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Drug use
Time Frame: weeks 1 through 8
|
Patient self report of drug use on the weekly Follow Up Survey- days per week having taken any drugs
|
weeks 1 through 8
|
|
Medication adherence
Time Frame: weeks 1 through 8
|
Patient self report of medication-assisted treatment (MAT) adherence on the weekly Follow Up Survey - days per week having taken their MAT
|
weeks 1 through 8
|
|
Mental health symptoms
Time Frame: weeks 1 through 8
|
Patient self report of mental health symptoms on the weekly Follow Up Survey - days per week of experiencing symptoms of depression or anxiety
|
weeks 1 through 8
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
November 1, 2023
Primary Completion (Estimated)
January 31, 2027
Study Completion (Estimated)
July 31, 2027
Study Registration Dates
First Submitted
November 1, 2023
First Submitted That Met QC Criteria
November 13, 2023
First Posted (Actual)
November 18, 2023
Study Record Updates
Last Update Posted (Estimated)
December 4, 2025
Last Update Submitted That Met QC Criteria
December 3, 2025
Last Verified
December 1, 2025
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 854332
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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