Actively Recruiting

Phase Not Applicable
Age: 18Years - 65Years
All Genders
NCT04426461

Approach-Avoidance, Computational Framework for Predicting Behavioral Therapy Outcome (AAC-BeT)

Led by Laureate Institute for Brain Research, Inc. · Updated on 2025-06-13

220

Participants Needed

1

Research Sites

250 weeks

Total Duration

On this page

Sponsors

L

Laureate Institute for Brain Research, Inc.

Lead Sponsor

N

National Institute of Mental Health (NIMH)

Collaborating Sponsor

AI-Summary

What this Trial Is About

Depression and anxiety disorders rank in the top ten causes of years lived with disability. Less than 50% of patients experiencing long-lasting improvements to current gold-standard treatments. Two gold-standard behavioral interventions include behavioral activation, focused on enhancing approach behavior towards meaningful activities, and exposure-based therapy, focused on decreasing avoidance and challenging negative expectations. While these interventions have divergent treatment targets, there is little knowledge to inform which strategies should be used in the frequent case of comorbid anxiety and depression. Approach-avoidance decision-making paradigms focus on assessing responses when faced with potential rewards and threats, tapping into processes important for both anxiety and depression as well as behavioral activation and exposure-based therapy. For this study, investigators will recruit individuals reporting both anxiety and depression symptoms and randomize them to one of three different interventions: (1) behavioral activation, (2) exposure-based therapy, and a non-specific therapy approach (3) supportive therapy. Participants will complete clinical, self-report, behavioral, and functional magnetic resonance imaging (fMRI) assessments before and after therapy. Investigators will use a computational approach to model factors that may influence one's behavior during approach-avoidance decision-making, including drives to avoid threat versus approach reward and confidence versus uncertainty in one's decisions. This project will accomplish the following aims (1) Determine how changes in brain and behavior responses during approach-avoidance conflict relate to changes in mental health symptoms with the different therapy approaches, (2) Determine the degree to which baseline brain and behavior responses during approach-avoidance conflict predict response to the different therapy approaches, above and beyond the influence of demographics and baseline symptom severity. In addition, by including peripheral blood draws and measures of grace matter volume, the project will also accomplish the following aims: (1) Determine whether kynrenine metabolites measures peripherally may be beneficial as a biomarker of treatment response and (2) determine whether there is an association between change in kynurenine metabolites and changes in gray matter volume with treatment. Results will enhance understanding of how different psychotherapy approaches (behavioral activation, exposure-based therapy) may impact brain responses and decisions when faces with potential reward versus threat and approach versus avoidance drives. In addition, results will have important implications concerning the potential for a more personalized approach to psychotherapy, enhancing knowledge of which types of therapy strategies may be most beneficial for which individuals.

CONDITIONS

Official Title

Approach-Avoidance, Computational Framework for Predicting Behavioral Therapy Outcome (AAC-BeT)

Who Can Participate

Age: 18Years - 65Years
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • score >55 on both the PROMIS Anxiety and PROMIS Depression scales
  • score >5 on any one item of the SDS
  • able to provide informed consent
  • report of anxiety and depressive symptoms as areas of clinical concern
  • sufficient English proficiency to complete procedures.
Not Eligible

You will not qualify if you...

  • significant or unstable physical or mental health conditions (e.g., immediate suicidal intent) requiring medical attention
  • history of bipolar, psychotic, cognitive, obsessive compulsive disorder, posttraumatic stress disorder (PTSD)
  • history of moderate to severe substance use disorder over the past year
  • diagnosis of neurologic disorders
  • MRI contra-indications (e.g., metal in body)
  • uncorrected vision/hearing problems
  • current, regular benzodiazepine use

AI-Screening

AI-Powered Screening

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Trial Site Locations

Total: 1 location

1

Laureate Institute for Brain Research

Tulsa, Oklahoma, United States, 74136

Actively Recruiting

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Research Team

M

Mallory Cannon, M.S.

CONTACT

R

Robin L Aupperle, PhD

CONTACT

How is the study designed?

Study Type

INTERVENTIONAL

Masking

SINGLE

Allocation

RANDOMIZED

Model

PARALLEL

Primary Purpose

BASIC_SCIENCE

Number of Arms

3

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Approach-Avoidance, Computational Framework for Predicting Behavioral Therapy Outcome (AAC-BeT) | DecenTrialz