Набор скоро начнётся NCT06705179

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

Без фазы С лечением Behavior Depressive Disorder Anxiety Disorders Obsessive Compulsive Disorder (OCD)

Ориентир для пациента и семьи

Простыми словами

Автоматическая сводка по структурированным данным реестра. Она помогает сориентироваться, но не заменяет официальный протокол или оценку врача.

Что изучают: В протоколе указаны: Behavioral task performance.
Кому может быть актуально: Состояния в реестре: Behavior, Depressive Disorder, Anxiety Disorders, Obsessive Compulsive Disorder (OCD). Базовые параметры: 18 лет — 65 лет · Все.
Что важно проверить: Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
Где проводится: США
Следующий шаг: Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →

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Официальное название

Leveraging Computationally Derived Measures of Individual Differences in Learning and Decision-making to Predict Psychiatric Diagnosis, Symptoms and Changes in Symptom Severity Across Time

Обзор

This study investigates the computational mechanisms associated with psychiatric disease dimensions. The study will characterize the relationship between computational parameter estimates of task performance and psychiatric symptoms and diagnoses with a longitudinal approach over a 12 month interval. Participants will be healthy participants recruited through Prolific an on-line crowdsourcing service, and psychiatric patients and healthy participants recruited via UCLA Psychiatry Clinics and UCLA's STAND Program

Подробное описание

The goal of computational psychiatry is to gain knowledge about underlying neurocomputational processes that underpin psychiatric disorders and to leverage this knowledge for improving diagnosis and treatment. A key step toward achieving this goal is to develop measures of individual differences in computations obtained from a single individual that are reliable, robust and meaningfully relevant to psychiatric dysfunction. In order to attain these objectives, it is essential we substantiate relationships between candidate computational mechanisms and diagnostic categories, symptom dimensions and treatment outcomes. In the present study, a computational assessment task battery (CAB) will be utilized that is designed to measure individual differences across a multidimensional array of computational processes. The study aims to separate three different variance components contributing to variability in computational parameter estimation: occasion-related variance due to incidental day to day changes in task performance, state-dependent variance that is related to meaningful variation across time in the underlying computations within an individual, and trait-related differences pertaining to stable individual differences in computations across individuals. To accomplish this, repeated assessments will be implemented using this battery across a 1-year interval within an on-line sample, and use hierarchical Bayesian modeling to separate the effect of occasion, state and trait-related variance on these parameter estimates. These variance components will then be related to diagnostic categories, symptom dimensions and symptom severity measures in a diverse cohort of psychiatric patients (mostly with depression, anxiety and OCD) recruited in Southern California. Finally, the relationship will be tracked between the computational parameter estimates and changes in symptoms across time in a subset of these patients. This study promises to significantly advance understanding of how to reliably extract diagnostically relevant computationally-derived measures of cognitive phenotypes that could eventually be migrated to the clinic.

Вмешательства

Поведенческое Behavioral task performance
Measures of performance on behavioral tasks

Первичные конечные точки

Changes in DASS depression scale scores [Срок оценки: 12 months]
Changes in DASS anxiety scale scores [Срок оценки: 12 months]
Changes in OCI-R scores [Срок оценки: 12 months]
OCI-R scores [Срок оценки: 12 months]
DASS depression scale scores [Срок оценки: 12 months]
DASS anxiety scale scores [Срок оценки: 12 months]

Критерии участия

Inclusion criteria (healthy control participants):

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.

Exclusion criteria (healthy control participants):

Prior history and or current diagnosis of neurological disease.

Inclusion criteria (patients):

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 criteria (patients):