• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

人工智能增强的自然社交互动分析揭示精神分裂症的情感交互障碍。

AI-enhanced analysis of naturalistic social interactions characterizes interaffective impairments in schizophrenia.

机构信息

Dept. of Psychiatry, LWL University Hospital, Ruhr University Bochum, Germany.

Dept. of Psychiatry, LWL University Hospital, Ruhr University Bochum, Germany.

出版信息

J Psychiatr Res. 2024 Oct;178:210-218. doi: 10.1016/j.jpsychires.2024.08.013. Epub 2024 Aug 14.

DOI:10.1016/j.jpsychires.2024.08.013
PMID:39153454
Abstract

Social deficits in schizophrenia have been attributed to an impaired attunement to mutual interaction, or "interaffectivity". While impairments in emotion recognition and facial expressivity in schizophrenia have been consistently reported, findings on mimicry and social synchrony are inconsistent, and previous studies have often lacked ecological validity. To investigate interaffective behavior in dyadic interactions in a real-world-like setting, 20 individuals with schizophrenia and 20 without mental disorder played a cooperative board game with a previously unacquainted healthy control participant. Facial expression analysis was conducted using Affectiva Emotion AI in iMotions 9.3. The contingency and state space distribution of emotional facial expressions was assessed using Mangold INTERACT. Psychotic symptoms, subjective stress, affectivity and game experience were evaluated through questionnaires. Due to a considerable between-group age difference, age-adjusted ANCOVA was performed. Overall, despite an unchanged subjective experience of the social interaction, individuals with schizophrenia exhibited reduced responsiveness to positive affective stimuli. Subjective game experience did not differ between groups. Descriptively, facial expressions in schizophrenia were generally more negative, with increased sadness and decreased joy. Facial mimicry was impaired specifically regarding joyful expressions in schizophrenia, which correlated with blunted affect as measured by the SANS. Dyadic interactions involving persons with schizophrenia were less attracted toward mutual joyful affective states. Only unadjusted for age, in the absence of emotional stimuli from their interaction partner, individuals with schizophrenia showed more angry and sad expressions. These impairments in interaffective processes may contribute to social dysfunction in schizophrenia and provide new avenues for future research.

摘要

精神分裂症患者的社交缺陷归因于相互作用或“相互情感”的调节能力受损。虽然精神分裂症患者的情绪识别和面部表情表达能力受损的情况一直存在,但模仿和社会同步的研究结果并不一致,并且之前的研究往往缺乏生态有效性。为了在真实环境中研究二元交互中的相互情感行为,20 名精神分裂症患者和 20 名无精神障碍的个体与一名之前不相识的健康对照参与者一起玩合作棋盘游戏。使用 iMotions 9.3 中的 Affectiva 情感 AI 进行面部表情分析。使用 Mangold INTERACT 评估情绪面部表情的连续性和状态空间分布。通过问卷评估精神病症状、主观压力、情感和游戏体验。由于组间存在相当大的年龄差异,因此进行了年龄调整的 ANCOVA。总体而言,尽管社交互动的主观体验没有改变,但精神分裂症患者对积极情感刺激的反应性降低。两组的主观游戏体验没有差异。描述性地,精神分裂症患者的面部表情通常更消极,悲伤增加,喜悦减少。精神分裂症患者的面部模仿能力受损,特别是在愉悦的表情方面,这与 SANS 测量的迟钝情感相关。涉及精神分裂症患者的二元互动不太倾向于相互愉悦的情感状态。只有在没有来自互动伙伴的情感刺激的情况下,不考虑年龄因素,精神分裂症患者才会表现出更多的愤怒和悲伤表情。这些相互情感过程的损伤可能导致精神分裂症的社交功能障碍,并为未来的研究提供新的途径。

相似文献

1
AI-enhanced analysis of naturalistic social interactions characterizes interaffective impairments in schizophrenia.人工智能增强的自然社交互动分析揭示精神分裂症的情感交互障碍。
J Psychiatr Res. 2024 Oct;178:210-218. doi: 10.1016/j.jpsychires.2024.08.013. Epub 2024 Aug 14.
2
Impairments of emotional face processing in schizophrenia patients: Evidence from P100, N170 and P300 ERP components in a sample of auditory hallucinators.精神分裂症患者情绪面孔加工障碍:听觉幻听样本中 P100、N170 和 P300 ERP 成分的证据。
Int J Psychophysiol. 2018 Dec;134:120-134. doi: 10.1016/j.ijpsycho.2018.10.001. Epub 2018 Oct 4.
3
Decoupling of spontaneous facial mimicry from emotion recognition in schizophrenia.精神分裂症患者面部自发模仿与情绪识别的分离。
Psychiatry Res. 2019 May;275:169-176. doi: 10.1016/j.psychres.2019.03.035. Epub 2019 Mar 20.
4
Observers predict actions from facial emotional expressions during real-time social interactions.观察者在实时社会互动中通过面部表情预测他人的行为。
Behav Brain Res. 2024 Aug 5;471:115126. doi: 10.1016/j.bbr.2024.115126. Epub 2024 Jun 29.
5
Dynamic evoked facial expressions of emotions in schizophrenia.精神分裂症中动态诱发的面部情绪表情
Schizophr Res. 2008 Oct;105(1-3):30-9. doi: 10.1016/j.schres.2008.05.030. Epub 2008 Sep 14.
6
Do we recognize facial expressions of emotions from persons with schizophrenia?我们能否从精神分裂症患者的面部表情识别情绪?
Schizophr Res. 2010 Sep;122(1-3):144-50. doi: 10.1016/j.schres.2010.04.004. Epub 2010 May 21.
7
Effects of cue modality and emotional category on recognition of nonverbal emotional signals in schizophrenia.线索模态和情绪类别对精神分裂症患者非言语情绪信号识别的影响。
BMC Psychiatry. 2016 Jul 7;16:218. doi: 10.1186/s12888-016-0913-7.
8
The Change in Facial Emotion Recognition Ability in Inpatients with Treatment Resistant Schizophrenia After Electroconvulsive Therapy.电休克治疗后难治性精神分裂症住院患者面部情绪识别能力的变化
Psychiatr Q. 2017 Sep;88(3):535-543. doi: 10.1007/s11126-016-9466-7.
9
Investigating the social costs of schizophrenia: Facial expressions in dyadic interactions of people with and without schizophrenia.探讨精神分裂症的社会成本:精神分裂症患者与非精神分裂症患者在二元互动中的面部表情。
J Abnorm Psychol. 2018 Feb;127(2):202-215. doi: 10.1037/abn0000319.
10
Emotion recognition deficits in schizophrenia-spectrum disorders and psychotic bipolar disorder: Findings from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) study.精神分裂症谱系障碍和精神病性双相情感障碍中的情绪识别缺陷:双相情感障碍-精神分裂症中间型网络(B-SNIP)研究的结果
Schizophr Res. 2014 Sep;158(1-3):105-12. doi: 10.1016/j.schres.2014.07.001. Epub 2014 Jul 19.

引用本文的文献

1
Emotional mimicry and smiling behaviors in schizophrenia: An ecological approach.精神分裂症中的情绪模仿与微笑行为:一种生态学方法。
Schizophrenia (Heidelb). 2025 Jun 7;11(1):86. doi: 10.1038/s41537-025-00632-y.