Chatbot Intervention Effects on Emotional Arousal in Anhedonia
Effects of a Chatbot-Based Intervention on Subjective Arousal and Neural Reactivity to Emotional Video Stimuli in Individuals With Anhedonia
調査の概要
詳細な説明
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, 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.
研究の種類
入学 (推定)
段階
- 適用できない
連絡先と場所
研究連絡先
- 名前：Benjamin Becker, Dr
- 電話番号：(852) 3917-5097
- メール：bbecker@hku.hk
研究場所
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Sichuan
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Chengdu、Sichuan、中国
- 募集
- University of Electronic Science and Technology of China
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コンタクト：
- Benjamin Becker, Dr
- 電話番号：(852) 3917-5097
- メール：bbecker@hku.hk
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-
参加基準
適格基準
就学可能な年齢
- 大人
健康ボランティアの受け入れ
説明
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.
研究計画
研究はどのように設計されていますか？
デザインの詳細
- 主な目的：基礎科学
- 割り当て：ランダム化
- 介入モデル：並列代入
- マスキング：ダブル
武器と介入
参加者グループ / アーム |
介入・治療 |
|---|---|
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実験的：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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アクティブコンパレータ：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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この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Subjective Affective Arousal in Response to Video Stimuli
時間枠：Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.
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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
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Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.
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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Activity in Brain Systems Supporting Affective Arousal Processing
時間枠：Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.
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Participants will undergo task-based BOLD fMRI while viewing positive, negative, and neutral emotional videos.
Neural responses within predefined brain systems involved in arousal and valence processing will be estimated using a general linear model.
Beta contrast estimates will then be derived for positive versus neutral, negative versus neutral, and positive versus negative conditions.
These estimates will be used to evaluate changes from baseline to post-intervention.
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Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.
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協力者と研究者
研究記録日
主要日程の研究
研究開始 (推定)
一次修了 (推定)
研究の完了 (推定)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
本研究に関する用語
キーワード
その他の研究ID番号
- BAM_lab_MI_02
個々の参加者データ (IPD) の計画
個々の参加者データ (IPD) を共有する予定はありますか?
IPD プランの説明
医薬品およびデバイス情報、研究文書
米国FDA規制医薬品の研究
米国FDA規制機器製品の研究
この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。