Developing EEG Biomarkers for OUD Diagnostic, Prognostic, and Predictive Purposes

What this Trial Is About

Researchers are investigating potential electroencephalography (EEG) biomarkers to help diagnose, monitor, and predict treatment responses in people with Opioid Use Disorder (OUD). This research addresses the urgent need for better tools in managing OUD, a condition that contributes to significant health and societal challenges in the US. The study aims to fill the gap left by the limited effectiveness and side effects of current OUD treatments by exploring brain activity patterns related to addiction. The study will enroll up to 130 participants, including 50 individuals diagnosed with OUD and 20 age-matched healthy controls. Each participant will undergo two EEG sessions: one at the initial visit and another about one week later. During these sessions, EEG recordings will be taken both at rest and while participants complete computer assessments. Additional assessments include questionnaires on demographics, mood, craving, impulsivity, and drug use, along with urine toxicology and hair follicle tests when available. Participants will be carefully screened and provide informed consent before enrollment. The study involves phone screenings, in-person consent, and ongoing communication with investigators. Researchers will analyze EEG brain activity across various frequency bands as the primary outcome. The study also monitors participant safety and allows withdrawal at any time. Total involvement includes the initial visit, follow-up visit approximately one week later, and related assessments during this period.

EEG Biomarkers for OUD: Diagnostic, Prognostic, and Predictive Applications