Chatbot Intervention Effects on Resting-State Brain Function in Anhedonia
2026年7月7日 更新者：Benjamin Becker、University of Electronic Science and Technology of China
Effects of a Chatbot-Based Intervention on Resting-State Functional Connectivity and Spontaneous Neural Activity in Individuals With Anhedonia
The main aim of the present study is to investigate the effects of a Motivational Interviewing-based artificial intelligence chatbot on resting-state brain function in college students with elevated anhedonia and depressive symptoms.
The study will use a randomized active-control intervention design with pre- and post-intervention resting-state functional magnetic resonance imaging assessments.
研究概览
详细说明
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, and alterations in intrinsic brain network function.
Resting-state fMRI provides a way to examine intrinsic brain activity and functional connectivity without requiring participants to perform a specific task.
This is important because changes associated with anhedonia may not only appear during reward-related tasks, but may also be reflected in spontaneous brain network organization.
研究类型
介入性
注册 (估计的)
80
阶段
- 不适用
联系人和位置
本节提供了进行研究的人员的详细联系信息，以及有关进行该研究的地点的信息。
学习联系方式
- 姓名：Benjamin Becker
- 电话号码：(852) 3917-5097
- 邮箱：bbecker@hku.hk
学习地点
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Sichuan
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Chengdu、Sichuan、中国
- 招聘中
- University of Electronic Science and Technology of China
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接触：
- Benjamin Becker, Dr
- 电话号码：(852) 3917-5097
- 邮箱：bbecker@hku.hk
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-
参与标准
研究人员寻找符合特定描述的人，称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。
资格标准
适合学习的年龄
- 成人
接受健康志愿者
是的
描述
Inclusion Criteria:
- 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
Exclusion Criteria:
- 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.
学习计划
本节提供研究计划的详细信息，包括研究的设计方式和研究的衡量标准。
研究是如何设计的？
设计细节
- 主要用途：基础科学
- 分配：随机化
- 介入模型：并行分配
- 屏蔽：双倍的
武器和干预
参与者组/臂 |
干预/治疗 |
|---|---|
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实验性的：Motivational Interviewing-based AI chatbot group
Motivational Interviewing-based AI chatbot intervention
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The experimental chatbot is designed to use principles of Motivational Interviewing to support participants in exploring their personal values, motivation for change, and daily behavioral goals related to pleasure, engagement, and reward-seeking.
During the intervention period, participants will interact with the chatbot regularly through brief text-based conversations.
The chatbot will provide empathic, non-judgmental responses, encourage reflection on current difficulties, and help participants identify small, feasible actions that may increase daily engagement and positive experiences.
It will not provide diagnosis, crisis counseling, or medical treatment.
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有源比较器：Active control chatbot group
Active control nature-story chatbot intervention
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Participants will interact with a chatbot matched in format and frequency of use.
This chatbot will provide neutral nature-related stories or general natural history content.
It will be designed to maintain participant engagement while avoiding therapeutic techniques, motivational interviewing strategies, behavioral activation guidance, or personalized mental health advice.
This active control condition will help control for nonspecific effects of chatbot interaction, attention, expectancy, and digital engagement.
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研究衡量的是什么？
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Intervention-Related Changes in Resting-State Functional Connectivity After the Intervention
大体时间：Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.
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Resting-state fMRI will be used to examine functional connectivity among predefined regions involved in reward, social, and self-referential processing.
Connectivity will be estimated from Pearson correlations between regional BOLD time series and then converted using the Fisher z transformation.
Changes from baseline to post-intervention will be reported as dimensionless Fisher z values.
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Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.
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次要结果测量
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Intervention-Related Changes in Spontaneous Activity After the Intervention
大体时间：Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.
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Indices of spontaneous neural activity in regions involved in motivation, social and self-referential processing, will be extracted from resting-state fMRI scans collected at the two assessment points.
These indices will include amplitude of low-frequency fluctuations or fractional amplitude of low-frequency fluctuations, as well as regional homogeneity.
Baseline and post-intervention values will then be compared to characterize pre-to-post changes.
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Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.
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合作者和调查者
在这里您可以找到参与这项研究的人员和组织。
研究记录日期
这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查，以确保它们在发布到公共网站之前符合特定的质量控制标准。
研究主要日期
学习开始 (估计的)
2026年6月20日
初级完成 (估计的)
2028年6月30日
研究完成 (估计的)
2028年12月31日
研究注册日期
首次提交
2026年6月17日
首先提交符合 QC 标准的
2026年6月22日
首次发布 (实际的)
2026年6月24日
研究记录更新
最后更新发布 (实际的)
2026年7月9日
上次提交的符合 QC 标准的更新
2026年7月7日
最后验证
2026年6月1日
更多信息
与本研究相关的术语
其他研究编号
- BAM_lab_MI_01
计划个人参与者数据 (IPD)
计划共享个人参与者数据 (IPD)？
不
IPD 计划说明
Corresponding individual level data will be made available upon request.
药物和器械信息、研究文件
研究美国 FDA 监管的药品
不
研究美国 FDA 监管的设备产品
不
此信息直接从 clinicaltrials.gov 网站检索，没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求，请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改，我们的网站上也会自动更新.