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Testing the Neuroscience of Guided Learning in Depression

Neural Substrates of Reinforcement Learning and Its Training in Major Depression

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03203954
Enrollment
216
Registered
2017-06-29
Start date
2016-05-01
Completion date
2021-12-31
Last updated
2022-07-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Major Depressive Disorder

Brief summary

Major depression is a prevalent and impairing illness. To better understand the basic science and treatment of depression, the investigators study the behavioral and brain processes associated with learning in depression and how potential disruptions in learning may be repaired. Understanding different methods that change learning may lead to novel treatments that contribute to recovery in people with depression.

Detailed description

Major depressive disorder ranks among the most significant causes of mortality and disability in the world. Recent data from the investigators and others highlight that impairments in reward and loss learning are central to depression, have distinct neural substrates, and improve with successful treatment. Together, these findings suggest an urgent need to delineate the relationships among neural and behavioral learning impairments and depression. Equally important, these insights suggest new targets for treatment such that manipulating the neural and behavioral substrates of learning may facilitate symptom change in depression. To address these issues, the investigators use functional neuroimaging and a computational psychiatry framework to i) systematically characterize the neural and behavioral substrates that attend reward- and loss- learning in depression and ii) assess the degree to which learning in depression responds to two behavioral methods that target learning in different ways. The investigators test the broad hypotheses that i) that depression may be characterized by distinct neural and behavioral disruptions of learning, and ii) these disruptions and associated symptoms may be ameliorated through different methods of guiding learning. Recent advances in computational psychiatry provide a mechanism-based framework within which to understand the nature and trajectory of potential learning impairments in depression and suggest new ways that disrupted learning and associated symptoms may be improved in depression

Interventions

BEHAVIORALStandard Learning

Participants will complete repeat sessions of a computer-based learning task, and task performance and symptoms will be assessed.

BEHAVIORALGuided Learning: Instructed statistics

Participants will complete repeat sessions of a computer-based learning task, and task performance and symptoms will be assessed.

BEHAVIORALGuided Learning: Changing statistics

Participants will complete repeat sessions of a computer-based learning task, and task performance and symptoms will be assessed.

Sponsors

National Institute of Mental Health (NIMH)
CollaboratorNIH
Virginia Polytechnic Institute and State University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
DOUBLE (Subject, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to 55 Years
Healthy volunteers
Yes

Inclusion criteria

* males and females of all ethnicities * meet diagnostic criteria for major depression or non-depressed control (assessed by study staff) * ages 18-55 * fluent in English * able to see computer display clearly * able to provide informed consent * able to follow verbal or written instructions * for participants who are referred by a clinician, a letter from that clinician indicating that participation in the study does not constitute an elevated medical or behavioral risk to the participant will be requested.

Exclusion criteria

* current pregnancy or menopause * claustrophobia * MRI contraindications * psychotic or bipolar disorder

Design outcomes

Primary

MeasureTime frameDescription
Task performanceapproximately 6 weeks (pre- post- learning task changes and interim time points)behavioral measures of learning task performance including accuracy, learning rate

Secondary

MeasureTime frameDescription
Neuroimaging measuresapproximately 6 weeks (pre- post- learning task changes and interim time points)functional MRI during learning task performance
Symptomsapproximately 6 weeks (pre- post- learning task changes and interim time points)self-report questionnaires and clinician-obtained symptom measures

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026