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Integrating Brain, Neurocognitive, and Computational Tools in OUD

NCT06136247 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 192

Last updated 2025-12-04

No results posted yet for this study

Summary

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).

Conditions

Interventions

DIAGNOSTIC_TEST

Neurocognitive battery

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).

DIAGNOSTIC_TEST

fNIRS

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 \[35,36\].

Sponsors & Collaborators

Eligibility

Min Age
18 Years
Max Age
60 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-11-01
Primary Completion
2027-01-31
Completion
2027-07-31

Countries

  • United States

Study Locations

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Entities

Diseases
Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06136247 on ClinicalTrials.gov