Effects of a Chatbot-Based Intervention on Subjective Arousal and Neural Reactivity to Emotional Video Stimuli in Individuals With Anhedonia
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 80
- 试验地点
- 1
- 主要终点
- Subjective Affective Arousal in Response to Video Stimuli
研究概览
简要总结
The main aim of the present study is to investigate the effects of a Motivational Interviewing-based artificial intelligence chatbot on affective arousal in college students with elevated levels of depression and anhedonia by combining a randomized active-control intervention design with pre- and post-intervention emotional video task assessments during fMRI.
详细描述
Anhedonia represents a core characteristic of depression and is characterized by reduced experience of pleasure. It is closely related to decreased motivation, altered reward processing, changes in affective responsiveness, and alterations in intrinsic brain network function. Anhedonia is not specifically targeted by currently available pharmacological interventions. Initial evidence indicates that an increased willingness to change and implementation of change in daily life can alleviate anhedonia.
The present study aims to examine whether a Motivational Interviewing-based AI chatbot can lead to changes in affective arousal responses in college students with elevated anhedonia and depressive symptoms. Affective arousal is included because anhedonia may involve altered emotional reactivity and reduced subjective responses to affective stimuli, in addition to reduced pleasure. The emotional video task allows the study to assess subjective arousal responses and neural responses to positive, neutral, and negative affective stimuli. To this end, eligible participants with a total score of 22 or higher on the Snaith-Hamilton Pleasure Scale and a score of 14 or higher on the Beck Depression Inventory will undergo a randomized, between-subjects, active-control intervention study. Participants will be assigned to either a Motivational Interviewing-based chatbot group or an active control chatbot group for 1 week. Pre- and post-intervention assessments will include self-report questionnaires and an affective arousal video task during functional magnetic resonance imaging to examine psychological, behavioral, and neural effects of the intervention.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Basic Science
- 盲法
- Double (Participant, Investigator)
入排标准
- 年龄范围
- 18 Years 至 40 Years(Adult)
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •18-40 years
- •Right-handed
- •Normal or corrected normal visual acuity
- •Participants must show elevated anhedonia and depressive symptoms at screening, defined as a total score of 22 or higher on the Snaith-Hamilton Pleasure Scale and a score of 14 or higher on the Beck Depression Inventory
排除标准
- •History of major central nervous system disorders, such as epilepsy, traumatic brain injury, stroke, or brain tumors.
- •History of severe mental illness, including schizophrenia spectrum disorders, bipolar disorder, or other psychotic disorders.
- •History of substance or alcohol use disorder or substance or alcohol misuse within the past 12 months that may affect study participation or outcome assessment.
- •Individuals currently at high risk of suicide, severe self-harm, or experiencing an acute psychiatric crisis.
- •Individuals who are currently using psychiatric medications or have undergone psychotherapy within the past 4 weeks that may significantly affect mood, motivation, or reward processing.
- •Severe vision or hearing impairments that cannot be corrected and would interfere with task performance.
- •Contraindications to MRI scanning, including metallic implants, pacemakers, severe claustrophobia, or other conditions incompatible with MRI.
- •Pregnancy or breastfeeding.
研究组 & 干预措施
Motivational Interviewing-based AI chatbot group
Motivational Interviewing-based AI chatbot intervention
干预措施: MI Chatbot Interaction (Behavioral)
Active control chatbot group
Active control nature-story chatbot intervention
干预措施: Active Control Chatbot Interaction (Behavioral)
结局指标
主要结局
Subjective Affective Arousal in Response to Video Stimuli
时间窗: Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.
Participants will view positive, neutral, and negative video stimuli before and after the intervention and report their subjective arousal after each video. Mean arousal ratings will be calculated separately for each emotional condition, and pre-to-post changes will be compared across positive, neutral, and negative video conditions
次要结局
- Activity in Brain Systems Supporting Affective Arousal Processing(Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.)
研究者
Benjamin Becker
Professor
University of Electronic Science and Technology of China
