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Understanding Psychiatric Symptoms Through Task Performance

This study is looking at how your performance on certain tasks might help us understand psychiatric symptoms like depression, anxiety, and obsessive-compulsive disorder (OCD). Researchers will use behavioral tasks to measure how you perform. The goal is to see if these measurements can predict changes in your symptoms over 12 months. They will measure changes in your depression (DASS depression scale), anxiety (DASS anxiety scale), and OCD symptoms (OCI-R scores) after one year. You can join if you are between 18 and 65 years old. The study is currently unclear about its status and plans to enroll 1100 people.

Study design
This is an interventional study that plans to enroll 1100 participants. It will look at how behavioral task performance relates to psychiatric symptoms over time.
What's involved
Not specified in the trial record.
Compensation
Not stated in the trial record.
Follow-up
Participants will be followed for 12 months to measure changes in their symptoms.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.

NCT06705179

Can Computational Measures of Task Performance Predict Psychiatric Symptoms and Changes in Symptom Severity Across Time

Not Yet Recruiting
NAAges 18–65InterventionalBasic science
California Institute of Technology
~1,100 participants
Updated 2024-11-26 on ClinicalTrials.gov
What's tested:Behavioral task performance

At a glance

Recruiting sites
0 of 2 listed sites are recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Changes in DASS depression scale scores
Measured over 12 months
+5 more outcomes measured

Conditions

Behavior
Depressive Disorder
Anxiety Disorders
Obsessive Compulsive Disorder (OCD)

Explore related trials

Anxiety DisorderAttention Deficit Hyperactivity DisorderAutism Spectrum DisorderBipolar DisorderDepressive disorderObsessive Compulsive Disorder

Where it's being run

2 sites across 1 states
California2

Study leadership

  • John P O'Doherty, D.Phil · PRINCIPAL_INVESTIGATOR · California Institute of Technology

Who to contact

John P O'Doherty, D.Phil
[email protected]
626-395-5981
Email the study team

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Do you actually qualify for this trial?

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Eligibility criteria

Inclusion

Age range of 18 to 65.
Not currently having a psychiatric diagnosis determined after psychiatric evaluation by Drs. Tadayon-Nejad and Wei (both are board certified psychiatrists).
Ability to understand and perform experimental tasks, i.e. basic ability to communicate and comprehend tasks.
Ability to give informed consent.
Age range of 18 to 65.
Psychiatric diagnosis of any type of depressive disorders, any type of anxiety disorders or obsessive-compulsive disorder.
Primary or comorbid bipolar disorders are allowed but only if not in the acute manic phase.
Comorbidity with autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are allowed.
Ability to understand and perform experimental tasks, i.e. basic ability to communicate and comprehend tasks.
Ability to give informed consent.

Exclusion

Prior history and or current diagnosis of neurological disease.
History or current diagnosis of psychotic disorders.
Currently active substance use disorder.

What this trial measures

  • Changes in DASS depression scale scores12 months

    Changes in computational parameter estimates related to gain/loss learning, reward/effort tradeoff and reward/predation risk tradeoffs will correlate with changes in DASS depression scale scores across time.

  • Changes in DASS anxiety scale scores12 months

    Changes in computational parameter estimates related to novelty driven exploration and reward/predation risk tradeoffs will be correlated with changes in DASS anxiety scale scores

  • Changes in OCI-R scores12 months

    Changes in computational parameter estimates related to the balance between model-based vs model-free reinforcement-learning will be correlated with changes in OCI-R symptoms across time.

  • OCI-R scores12 months

    Computational parameter estimates related to the balance between model-based vs model-free reinforcement-learning will be correlated with OCI-R scores.

  • DASS depression scale scores12 months

    Computational parameter estimates related to gain/loss learning, reward/effort tradeoff and reward/predation risk tradeoffs will correlate with DASS depression scale scores.

  • DASS anxiety scale scores12 months

    Computational parameter estimates related to novelty driven exploration and reward/predation risk tradeoffs will be correlated with DASS anxiety scale scores