Identifying Decision Making Parameters in Healthy Volunteers (HV) and Anxiety Patients (AD)
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 51
- 试验地点
- 2
- 主要终点
- Difference in Learning Rate
研究概览
简要总结
Background:
Research has shown that anxiety affects more than feelings. It also affects behavior. Researchers want to learn how the brain and body respond to unexpected threats. They want to see if probable pleasant or unpleasant events change decisions.
Objective:
To better understand how changes in anxiety are associated with changes in decision-making.
Eligibility:
Adults aged 18-50 with generalized anxiety disorder, seasonal affective disorder, or panic disorder. Healthy volunteers are also needed.
Design:
Participants will be screened under protocol #01-M-0254.
Participants will complete surveys about their anxiety, risk-taking, and curiosity.
Participants will complete a computer task. They will be given different choices. They will make a choice. They will receive an unpleasant or pleasant stimulus based on their choice. They will repeat this task many times.
Most participants will do the task in the clinic. The unpleasant stimulus will be electric shock and acoustic startle. They will receive electric shocks through electrodes placed on their arm or fingers. They may hear loud noises through headphones. Their eyeblinks will be recorded with electrodes placed under their eye. Their heart rate and skin conductance activity will be collected with electrodes as well.
Some healthy volunteers will do the task during a functional magnetic resonance imaging scan. They will lie on a table that slides in and out of a scanner. A coil will be placed over their head. The unpleasant stimulus will be electric shock, given as stated above. The scanner will record their brain activity. Their breathing and pulse rate will be recorded as well.
Participation will last for 3-4 hours.
详细描述
Study Description:
This study s goal is to identify parameters of interest in decision making in the context of anxiety disorders, using theoretical models in healthy volunteers (HV) and anxiety patients (AD). Participants are asked to complete a decision-making task, namely the Multi-armed Bandit Task.
The study will be conducted in the clinic. Participants (HV and AD) are asked to fill out questionnaires and complete the Multi-armed Bandit Task. An electric shock is used as the aversive stimulus. Monetary reward is used as the reward stimulus. Additionally, physiological signals (Heart rate, skin conductance activity, startle) are collected during the course of the task. In addition, in a pilot study, participants startle responses for varying shock parameters are recorded and analyzed.
Objectives:
The primary objective of this study is to use theoretical models in healthy volunteers (HV) and patients with an anxiety disorder (AD) to better understand how changes in anxiety are associated with changes in decision making. In addition, this study will ascertain whether decision making parameters correlate with certain behavioral measures such as trait and state anxiety using (i) questionnaires, (ii) physiological measures.
研究设计
- 研究类型
- Interventional
- 分配方式
- Non Randomized
- 干预模型
- Single Group
- 主要目的
- Basic Science
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 50 Years（Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- 未提供
排除标准
- 未提供
结局指标
主要结局
Difference in Learning Rate
时间窗: End of experiment (3-4 hours in a single day visit)
Learning rate is a hyperparameter that quantifies the degree to which subjects update their beliefs in response to feedback. The outcome examined the difference in learning rate between experimental manipulation (condition) and population (healthy and anxiety subjects). During the multi-arm bandit task, participants choose from a set of choices and update their belief of the value of the choices based on prior choices with some choices having a higher probability of shock (punishment) than reward. The changes in learning rate were measured using the learning rate algorithm. The difference in learning rate was analyzed using a 2-way ANOVA with condition and population. The learning rate (α) range between 0 and 1. The higher the value, the faster rate of learning. However, a higher learning rate may also result in lower generalization capability.
次要结局
未报告次要终点