Neurobehavioral Investigations of Approach Dynamics in the Ventral Striatum (OBSESS)

September 17, 2025 updated by: Sameer Sheth, Baylor College of Medicine

Traditional strategies for diagnosing psychiatric disorders focus on definitions based on constellations of co-occurring symptoms. Tracking symptom severity across therapy arcs relies on administering scales that again ask questions about symptoms. These strategies have allowed some degree of standardization but suffer from having a phenomenological rather than mechanistic foundation (in terms of diagnosis) as well as subjectivity and temporal sparseness (in terms of measurement).

The investigators apply a transdiagnostic framework based on the neurobiological concept of approach behavior. Several psychiatric disorders (including OCD, uni- and bipolar depression, PTSD and anxiety disorders, and addiction disorders) are characterized by dysfunction in approach behavior. The investigators study the neurobehavioral basis of approach dysfunction in a cohort of individuals with severe OCD and bipolar disorder (BD). To study these behaviors, the investigators deploy a suite of wearables and peripherals (Oura ring, Apple Watch, iPhone, audioband) that allow continuous and dense measurement of behaviors relevant to the approach hypothesis: socialization, activity, and sleep patterns. The investigators perform these measurements in two selected environments. One is a novel apartment-style setting (neurobehavioral unit, NBU) that combines the high-bandwidth data acquisition capability of a lab with the naturalistic relevance and comfort of the home. The second is the truly natural and maximally ethologically relevant setting of the ambulatory "home" environment in which people spend the majority of their time.

The participants will be individuals planned for deep brain stimulation (DBS) implant for their OCD or BD. The bi-directional (stimulate as well as record) nature of the DBS systems will allow neural recordings that the investigators will synchronize with the behavioral data streams. The investigators will apply predictive computational models in conjunction with the causal manipulation provided by stimulation to test mechanistic hypothesis relating neurophysiology, behavior, and clinical status. In Aim 1, The investigators study reward-driven decision making by employing an augmented reality approach-avoidance task in the NBU. In Aim 2, the investigators test the neurobehavioral models' ability to predict clinical status from passively (and therefore low burden to patient-participants) acquired data in the "home" environment. In Aim 3, the investigators identify neural predictors of the patterns of sleep dysregulation associated with these disorders using the unique environment of the NBU. In Aim 4, the investigators examine critical concepts of ethics and ethology that arise with this new field of naturalistic, chronic brain-behavior relationship investigation.

The investigators hope that methods validated and lessons learned in this project will improve understanding of the mechanistic basis of a range of psychiatric disorders and thereby allow greater rational design of therapeutic delivery.

Study Overview

Status

Not yet recruiting

Detailed Description

Traditional strategies for diagnosing psychiatric disorders focus on definitions based on constellations of co-occurring symptoms. Tracking symptom severity across therapy arcs relies on administering scales that again ask questions about symptoms. These strategies have allowed some degree of standardization but suffer from having a phenomenological rather than mechanistic foundation (in terms of diagnosis) as well as subjectivity and temporal sparseness (in terms of measurement).

The investigators apply a transdiagnostic framework based on the neurobiological concept of approach behavior. Several psychiatric disorders (including OCD, uni- and bipolar depression, PTSD and anxiety disorders, and addiction disorders) are characterized by dysfunction in approach behavior. The investigators study the neurobehavioral basis of approach dysfunction in a cohort of individuals with severe OCD and bipolar disorder (BD). To study these behaviors, the investigators deploy a suite of wearables and peripherals (Oura ring, Apple Watch, iPhone, audioband) that allow continuous and dense measurement of behaviors relevant to the approach hypothesis: socialization, activity, and sleep patterns. The investigators perform these measurements in two selected environments. One is a novel apartment-style setting (neurobehavioral unit, NBU) that combines the high-bandwidth data acquisition capability of a lab with the naturalistic relevance and comfort of the home. The second is the truly natural and maximally ethologically relevant setting of the ambulatory "home" environment in which people spend the majority of their time.

The participants will be individuals planned for deep brain stimulation (DBS) implant for their OCD or BD. The bi-directional (stimulate as well as record) nature of the DBS systems will allow neural recordings that the investigators will synchronize with the behavioral data streams. The investigators will apply predictive computational models in conjunction with the causal manipulation provided by stimulation to test mechanistic hypothesis relating neurophysiology, behavior, and clinical status. In Aim 1, The investigators study reward-driven decision making by employing an augmented reality approach-avoidance task in the NBU. In Aim 2, the investigators test the neurobehavioral models' ability to predict clinical status from passively (and therefore low burden to patient-participants) acquired data in the "home" environment. In Aim 3, the investigators identify neural predictors of the patterns of sleep dysregulation associated with these disorders using the unique environment of the NBU. In Aim 4, the investigators examine critical concepts of ethics and ethology that arise with this new field of naturalistic, chronic brain-behavior relationship investigation.

The investigators hope that methods validated and lessons learned in this project will improve understanding of the mechanistic basis of a range of psychiatric disorders and thereby allow greater rational design of therapeutic delivery.

Study Type

Interventional

Enrollment (Estimated)

12

Phase

  • Not Applicable

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

Study Locations

    • Rhode Island
      • Providence, Rhode Island, United States, 02912
    • Texas
      • Houston, Texas, United States, 77030
        • Baylor College of Medicine
        • Contact:

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

21 years to 70 years (Adult)

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Planned for DBS for OCD (via clinical pathway, FDA HDE, IRB) or BD (via BRAIN-funded UH3 trial)
  • Agrees to study activities in NBU and "home" environments

Exclusion Criteria:

- Planned to receive non-rechargeable DBS generator

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

  • Primary Purpose: Basic Science
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Medtronic Percept RC neurostimulator
Medtronic SenSight directional DBS leads and implanted pulse generators (IPGs) will be implanted

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in Yale-Brown Obsessive-Compulsive Scale (YBOCS) Score
Time Frame: Through study completion, an average of 14 months
Severity of depression symptoms. Changes in the Yale-Brown Obsessive Compulsive Scale survey/questionnaire. YBOCS is an assessment to rate symptoms of OCD on a scale of 0-50 (with a higher number indicating a more severe outcome ratings of OCD and 0 indicated no symptoms of OCD).
Through study completion, an average of 14 months
Change in Hamilton Depression Inventory (HAM-D) Score
Time Frame: Through study completion, an average of 14 months
Severity of depression symptoms. Changes in the Hamilton Depression Inventory (HAM-D) score. HAM-D is an assessment to rate symptoms of depression on a scale of 0-52 (with a higher number indicating a more severe outcome ratings of depression and 0 indicated no symptoms of depression).
Through study completion, an average of 14 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

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 (Estimated)

August 1, 2026

Primary Completion (Estimated)

August 1, 2029

Study Completion (Estimated)

August 1, 2029

Study Registration Dates

First Submitted

May 27, 2022

First Submitted That Met QC Criteria

June 14, 2022

First Posted (Actual)

June 16, 2022

Study Record Updates

Last Update Posted (Actual)

September 22, 2025

Last Update Submitted That Met QC Criteria

September 17, 2025

Last Verified

September 1, 2025

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

product manufactured in and exported from the U.S.

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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