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Set Your Goal: Engaging Go/No-Go Active Learning

NCT03538535 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 13

Last updated 2022-06-13

No results posted yet for this study

Summary

This study will test a computational model reinforcement learning in depression and anxiety and test the extent to which the computational model predicts response to an adapted version of behavioral activation psychotherapy. The model will be based on a data from a computer task of reinforcement learning during 3T functional magnetic resonance imaging at baseline.

Conditions

Interventions

BEHAVIORAL

Go/No-Go Active Learning (GOAL)

Behavioral Activation psychotherapy adapted to engage go/no-go learning

Sponsors & Collaborators

Principal Investigators

  • Jackie Gollan, Ph.D. · Associate Professor of Psychiatry and Behavioral Science

Study Design

Allocation
NA
Purpose
TREATMENT
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
21 Years
Max Age
40 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-05-01
Primary Completion
2019-03-01
Completion
2019-03-01

Countries

  • United States

Study Locations

More Related Trials

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 NCT03538535 on ClinicalTrials.gov