Ecological Momentary Assessment of State-Dependent Decision-Making and Metacognition Across a Psychopathology Continuum
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 420
- 试验地点
- 1
- 主要终点
- To establish the relationship between psychiatric symptom severity and the reactivity of decision-making to changes in internal state.
研究概览
简要总结
Background:
Making decisions during daily life is a complicated behavior. Even simple choices can be affected by a range of emotions, stresses, and moods. Mental health issues such as depression and anxiety can lead people to make decisions that have negative effects on their lives. Learning how changes in feeling affect a person's decisions may help researchers find ways to help them make more positive choices.
Objective:
To learn how changes in a person's feelings and emotions affect their decisions.
Eligibility:
People aged 18 to 55 years who are healthy or who have some level of depressive, anxiety, substance-related, or addictive disorders.
Design:
All study activities can be done remotely; participants may use a smartphone app, a website, or telehealth.
Participants will have a baseline visit. They will complete tasks that require decisions; these tasks are like games they play on their phone. They will also answer questions about their habits, how they feel, their sleep quality, and any problem behaviors. They may wear a smartwatch during the study; it will record data such as their movements and heart rate.
For 12 weeks, a study app will prompt participants to respond. They will be asked to answer questions about how they are feeling, any problematic behaviors, or big life events; they will be asked to complete tasks that require making decisions. They may record a video or audio clip describing their day and how they feel.
For 3 of the 12 weeks, participants will get prompts up to 6 times per day. For 9 weeks, they will get up to 3 prompts per day.
They will have an end-of-study visit to discuss their experiences.
详细描述
Study Description:
This observational study employs an Ecological Momentary Assessment (EMA) methodology to investigate how naturalistic changes in internal states (ranging from emotional to physiological and interoceptive states) lead to changes in value-based decision-making. The study will include a "dimensional cohort" of participants that range from healthy to subclinical to clinical levels of psychopathology, with a focus on substance use, depression, and anxiety. Using a mobile application, participants will remotely respond to multiple daily prompts for a total participation time of 12 weeks. In addition to this, the study will incorporate multimodal biosensor recording collected from wearable technology to capture passive physiological metrics. It aims to understand the dynamics of decision making, metacognition, and how their variability may be causally related to changes in emotional internal states, captured in real-world settings.
Objectives:
Primary Objective:
To measure the influence of naturally occurring fluctuations in emotional internal states on value-based decision-making.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 55 Years（Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •INCLUSION CRITERIA
- •In order to be eligible to participate in this study, an individual must meet all of the following criteria:
- •Understands study procedures as well as the risks and benefits associated with them. Is willing to comply with study procedures and is available for the duration of the study.
- •Currently resides in the United States.
- •Individuals in good general health as evidenced by medical and psychiatric history, or individuals who endorsed current or lifetime clinical or subclinical symptoms related to Depressive Disorders, Anxiety Disorders, Substance-Related and Addictive Disorders.
- •Agreement to adhere to Lifestyle Considerations throughout study duration.
排除标准
- •An individual who meets any of the following criteria will be excluded from participation:
- •Any unstable medical conditions (not well-controlled or are subject to frequent exacerbations, including uncontrolled hypertension, recent myocardial infarction, or unstable diabetes), severe chronic (long-term medical conditions that are either progressive or require ongoing medical treatment, including advanced cardiovascular disease, chronic obstructive pulmonary disease (COPD), or end-stage renal disease), or significantly impairing medical condition that could limit cognitive, mobility, and physiological measures (conditions that severely limit mobility or daily functioning, such as severe arthritis, advanced Parkinson's disease, or major neurocognitive disorders).
- •Any Traumatic Brain Injury (TBI), loss of consciousness, brain lesion, epileptic seizure, or any other conditions that are indicative of abnormal function or structure of the brain.
- •Self-reported acute intoxication, withdrawal, or another medically compromised condition at Enrollment / Baseline Visit.
- •Following psychiatric symptoms and disorder diagnosis:
- •Any current serious ideation, intention or plan for homicide or intentional harm towards others as determined by SCID-V and the clinical judgement of qualified clinical team member.
- •Imminent / High risk of self-harm or suicide as determined by SCID-V and the clinical judgement of qualified clinical team member.
- •Current manic episode as determined by SCID-V and self-report questionnaires.
- •Currently under inpatient care.
- •Diagnosis (current and lifetime) and / or treatment for the following psychiatric disorders as defined in the DSM-5:
- •Any symptoms compatible with Psychosis
- •Neurodevelopmental Disorders (e.g. with learning or intellectual disability) impacting understanding of Decision-Making Tasks
- •Schizophrenia Spectrum and Other Psychotic Disorders
- •Dissociative Disorders
- •Sleep-Wake Disorders, except for Breathing-Related Sleep Disorders
- •Neurocognitive Disorders (e.g., dementia or cognitive decline) impacting understanding of Decision-Making Tasks
- •Any significantly impairing psychiatric disorder, symptom or behavior, as determined by comprehensive clinical assessments, including severity scales, clinician judgment, and self-report measures.
- •Self-reported pregnancy or lactation.
- •Any disrespectful or unprofessional behavior towards any study team member.
- •Familial or any close personal relationship with a study team member.
- •Any condition or general impairment that might interfere with or limit individual's ability to engage in informed consent and study procedures.
研究组 & 干预措施
Transdiagnostic Dimensional Cohort
Individuals with varying degrees of depression, anxiety and addiction symptom severity, including those who have none of the symptoms (healthy volunteer).
结局指标
主要结局
To establish the relationship between psychiatric symptom severity and the reactivity of decision-making to changes in internal state.
时间窗: Throughout the study, transdiagnostic measures of trait- and state-level symptom severity and clinical diagnosis determined by Structured Clinical Interview for DSM Disorders (SCID).
Dimensional approach allows for examination of the moderation effect of symptom-level severity across psychiatric diagnosis. The state-level symptom severity can also be used to infer the state dynamic.However, clinical diagnosis still serves an important role in understanding how decision making and internal state dynamics might be different for patients with psychopathology. Further, collecting clinical diagnosis can better connect knowledge gained from this protocol to existing literature.
To identify how individual differences in metacognition might moderate the influence of internal states on decision-making.
时间窗: In 12 weeks of EMA, measure of metacognition derived from questionnaires and confidence ratings in decision-making tasks.
Confidence is a standard proxy measure of metacognitive ability.
To estimate the temporal profile of internal state; the lag between changes in internal state and measurable changes in decision-making and to assess whether different aspects of decision-makings are sensitive to acute versus sustained changes i...
时间窗: In 12 weeks of EMA, self-report of internal states in different time scale and following significant life event.
Time difference between a measurable change in decision-making characteristics and the most recent change in internal state can be calculated. State dynamics (acute versus sustained changes in internal state) can be identified by analyzing internal state fluctuation measures collected at different time scales and temporal proximity to significant life events.Life events of different types or characteristics might be more likely to elicit acute versus sustained changes and vice versa.
To assess the influence of naturally occurring fluctuations in internal states on value-based decision-making.
时间窗: In 12 weeks of EMA, self-report of internal states and significant life events as well as behaviors in established and novel cognitive-behavioral decision-making tasks.
EMA allows for measures of changes in naturalistic settings. Collecting self-reported internal states and significant life events can establish an internal state timeline for modeling naturally occurring fluctuations in internal states.Cognitive-behavioral decision-making tasks are informative of value-based decision-making processes.Behaviors in these tasks can also be used for computational modeling of the (sub)processes and mechanisms of value-based decision-making, such as risk tolerance, ambiguity tolerance, impulsive choice, approach/avoidance behavior, planning, learning, goal progress, pleasure related to goal progress, and decision confidence.
次要结局
- To inform key elements of a just-in-time adaptive intervention (JITAI)(Possible decision points jointly estimated with self-reported internal state, model predicted internal states, decision-making behavior, and symptom severity.)
- To predict the presence of emotional state changes using multimodal feature data(Throughout the study, physiological signals collected from biosensors, speech and facial features from audiovisual recording, and lexical and semantical features derived from free responses.)