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

NCT03538535 | Completed DMC

• 1 other identifier: STU00206862
• Study Type: interventional
• Target: 13
• Locations: 1 country
• Sites: 1

Brief 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

Depression; Anxiety

Keywords

reinforcement learning; computational models; neuroimaging

Outcome Measures

Primary Outcomes (1)

• Integrated Bayesian Information Criterion (BIC) score based on models using modified Q-learning models with two pairs of action values (go and no-go) for each state.

  Models will include a learning rate, a slope of the softmax rule, noise factor, a bias factor to the action-value for 'go', and a Pavlovian factor.

  Baseline (Week 0)

Study Arms (1)

Go/No-Go Active Learning (GOAL)

EXPERIMENTAL

Adaptation of Behavioral Activation, focused on reinforcement learning strategies.

Behavioral: Go/No-Go Active Learning (GOAL)

Interventions

Go/No-Go Active Learning (GOAL) BEHAVIORAL

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

Go/No-Go Active Learning (GOAL)

Eligibility Criteria

• Age: 21 Years - 40 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64)

You may qualify if:

• Between the ages of 21 and 40
• Physically healthy
• Right handed
• Normal or corrected to normal vision
• Scores equal or higher of (a) 24 on Inventory of Depressive Symptomatology, Self Report, or (b) 15 on the Generalized Anxiety Disorder Self Report.

You may not qualify if:

• Not currently in therapy or taking medications for anxiety or depression
• No contraindications for the magnetic resonance scan (claustrophobic)
• No history of head trauma, seizures, loss of consciousness
• Not taking hormone replacement, not pregnant
• No imminent suicidality
• No report of excessive alcohol or drug use in past three months

Sponsors & Collaborators

• Northwestern University: lead

Study Sites (1)

Northwestern University

Chicago, Illinois, 60611, United States

Location

Related Publications (1)

• Huys QJM, Russek EM, Abitante G, Kahnt T, Gollan JK. Components of Behavioral Activation Therapy for Depression Engage Specific Reinforcement Learning Mechanisms in a Pilot Study. Comput Psychiatr. 2022 Oct 13;6(1):238-255. doi: 10.5334/cpsy.81. eCollection 2022.

  PMID: 38774780 DERIVED

MeSH Terms

Conditions

Depression; Anxiety Disorders

Condition Hierarchy (Ancestors)

Behavioral Symptoms; Behavior; Mental Disorders

Study Officials

• Jackie Gollan, Ph.D.

  Associate Professor of Psychiatry and Behavioral Science

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: TREATMENT
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Model Details: Adapted version of Behavioral Activation psychotherapy designed to optimize decision making and learning.

Study Record Dates

• First Submitted: May 14, 2018
• First Posted: May 29, 2018
• Study Start: May 1, 2018
• Primary Completion: March 1, 2019
• Study Completion: March 1, 2019
• Last Updated: June 13, 2022

Record last verified: 2022-06

Data Sharing

• IPD Sharing: Will not share

Locations

US (1)