Psychotherapy Effects on Reward Processing in PTSD
This study is looking at how a type of talk therapy called Cognitive Processing Therapy (CPT) affects the brain in people with Post Traumatic Stress Disorder (PTSD). Specifically, it wants to understand how CPT changes the brain's ability to experience positive emotions, which can be diminished after a traumatic event. Researchers will compare people who receive CPT right away with those who receive it later. You might be able to join if you are between 18 and 65 years old, speak English, and have chronic PTSD for at least 3 months. The study will measure changes in your brain's reward system after 10 weeks of treatment to see if CPT helps improve your ability to feel pleasure.
- Study design
- This is an interventional study that plans to enroll 120 participants. It is a randomized clinical trial comparing immediate versus delayed Cognitive Processing Therapy.
- What's involved
- Before treatment, you will have clinical and brain imaging (fMRI) assessments while completing tasks related to reward processing. Some tasks involve mild electrical shock or making decisions about rewards versus negative outcomes.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary endpoint is measured at 10 weeks, indicating follow-up for at least this duration.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Psychotherapy Effects on Reward Processing in PTSD
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Gregory A Fonzo, PhD · PRINCIPAL_INVESTIGATOR · The University of Texas at Austin
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Within subject beta coefficients for each parametrically modulated regressor of the Reinforcement Learning Task with Threat[10 weeks]
The changes in deoxyhemoglobin driven by localized changes in brain blood flow and blood oxygenation associated with individual trial-by-trial reinforcement learning computational model parameters at the time of choice valuation (expected reward value during safe contexts and expected reward value during threat contexts) and choice outcome (reward prediction errors during safe contexts and reward prediction errors during threat contexts).