• 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

探索注意力分配的“情绪一致性”假说——一项眼动研究。

Exploring the 'mood congruency' hypothesis of attention allocation - An eye-tracking study.

机构信息

School of Psychological Sciences, Tel Aviv University, Tel-Aviv, Israel; Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.

School of Psychological Sciences, Tel Aviv University, Tel-Aviv, Israel.

出版信息

J Affect Disord. 2024 Feb 15;347:619-629. doi: 10.1016/j.jad.2023.12.004. Epub 2023 Dec 7.

DOI:10.1016/j.jad.2023.12.004
PMID:38070744
Abstract

BACKGROUND

The 'mood-congruency' hypothesis of attention allocation postulates that individuals' current emotional states affect their attention allocation, such that mood-congruent stimuli take precedence over non-congruent ones. This hypothesis has been further suggested as an underlying mechanism of biased attention allocation in depression.

METHODS

The present research explored the mood-congruency hypothesis using a novel video-based mood elicitation procedure (MEP) and an established eye-tracking attention allocation assessment task, elaborating prior research in the field. Specifically, in Study 1 (n = 91), a video-based MEP was developed and rigorously validated. In study 2 (n = 60), participants' attention allocation to sad and happy face stimuli, each presented separately alongside neutral faces, was assessed before and after the video-based MEP, with happiness induced in one group (n = 30) while inducing sadness in the other (n = 30).

RESULTS

In Study 1, the MEP yielded the intended modification of participants' current mood states (eliciting either sadness or happiness). Study 2 showed that while the MEP modified mood in the intended direction in both groups, replicating the results of Study 1, corresponding changes in attention allocation did not ensue in either group. A Bayesian analysis of pre-to-post mood elicitation changes in attention allocation supported this null finding. Moreover, results revealed an attention bias to happy faces across both groups and assessment points, suggestive of a trait-like positive bias in attention allocation among non-selected participants.

CONCLUSION

Current results provide no evidence supporting the mood-congruency hypothesis, which suggests that (biased) attention allocation may be better conceptualized as a depressive trait, rather than a mood-congruent state.

摘要

背景

注意力分配的“情绪一致性”假设认为,个体的当前情绪状态会影响他们的注意力分配,使得情绪一致的刺激优先于非一致的刺激。该假设进一步被认为是抑郁症中注意力偏向分配的潜在机制。

方法

本研究使用一种新的基于视频的情绪诱发程序(MEP)和一种已建立的眼动注意力分配评估任务来探索情绪一致性假设,这是对该领域先前研究的扩展。具体来说,在研究 1(n=91)中,开发了一种基于视频的 MEP,并进行了严格验证。在研究 2(n=60)中,在基于视频的 MEP 之前和之后评估了参与者对悲伤和快乐的面孔刺激的注意力分配,每个刺激都与中性面孔一起单独呈现,其中一组(n=30)诱导快乐,另一组(n=30)诱导悲伤。

结果

在研究 1 中,MEP 产生了预期的参与者当前情绪状态的改变(诱发悲伤或快乐)。研究 2 表明,虽然 MEP 在两个组中都以预期的方向改变了情绪,复制了研究 1 的结果,但在任何一组中都没有随之产生相应的注意力分配变化。对注意力分配从情绪诱发前到后的变化的贝叶斯分析支持了这一零假设。此外,结果显示了两组在所有评估点对快乐面孔的注意力偏向,表明非选择性参与者的注意力分配中存在一种特质性的积极偏向。

结论

当前的结果没有提供支持情绪一致性假设的证据,该假设表明(偏向的)注意力分配可能更好地被概念化为抑郁特质,而不是情绪一致的状态。

相似文献

1
Exploring the 'mood congruency' hypothesis of attention allocation - An eye-tracking study.探索注意力分配的“情绪一致性”假说——一项眼动研究。
J Affect Disord. 2024 Feb 15;347:619-629. doi: 10.1016/j.jad.2023.12.004. Epub 2023 Dec 7.
2
Lack of an Attention Bias Away From Relatively Negative Faces in Dysphoria Is Not Related to Biased Emotion Identification.烦躁不安中缺乏对相对负面面孔的注意力偏向与情绪识别偏差无关。
Behav Ther. 2022 Mar;53(2):182-195. doi: 10.1016/j.beth.2021.07.001. Epub 2021 Jul 28.
3
Mood-congruent biases in facial emotion perception and their gender dependence.面部情绪感知中的情绪一致偏见及其性别依赖性。
Int J Psychol. 2021 Jun;56(3):378-386. doi: 10.1002/ijop.12720. Epub 2020 Oct 5.
4
Gaze-fixation to happy faces predicts mood repair after a negative mood induction.注视快乐面孔可预测负面情绪诱导后情绪修复。
Emotion. 2014 Feb;14(1):85-94. doi: 10.1037/a0034500. Epub 2013 Nov 4.
5
Free viewing of sad and happy faces in depression: A potential target for attention bias modification.抑郁症患者观看悲伤和快乐的面孔时无需付费:一种潜在的注意力偏向修正目标。
J Affect Disord. 2018 Oct 1;238:94-100. doi: 10.1016/j.jad.2018.05.047. Epub 2018 May 29.
6
Implicit negative affect predicts attention to sad faces beyond self-reported depressive symptoms in healthy individuals: An eye-tracking study.内隐负性情绪预测健康个体中注意悲伤面孔的程度,超出自我报告的抑郁症状:一项眼动研究。
Psychiatry Res. 2018 Jul;265:48-54. doi: 10.1016/j.psychres.2018.04.007. Epub 2018 Apr 4.
7
Experiences of maltreatment in childhood and attention to facial emotions in healthy young women.童年期虐待经历与健康年轻女性对面部情绪的关注。
Sci Rep. 2022 Mar 12;12(1):4317. doi: 10.1038/s41598-022-08290-1.
8
Attentional biases in dysphoria when happy and sad faces are simultaneously presented.同时呈现快乐和悲伤面孔时,抑郁者的注意力偏差。
J Behav Ther Exp Psychiatry. 2019 Dec;65:101499. doi: 10.1016/j.jbtep.2019.101499. Epub 2019 Jul 22.
9
Effects of induced sad mood on facial emotion perception in young and older adults.诱导悲伤情绪对年轻人和老年人面部情绪感知的影响。
Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2019 May;26(3):319-335. doi: 10.1080/13825585.2018.1438584. Epub 2018 Feb 15.
10
Eye Tracking as a Tool to Identify Mood in Aphasia: A Feasibility Study.眼动追踪作为一种识别失语症患者情绪的工具:一项可行性研究。
Neurorehabil Neural Repair. 2020 May;34(5):463-471. doi: 10.1177/1545968320916160. Epub 2020 Apr 28.

引用本文的文献

1
Reduced positive attentional bias in patients with borderline personality disorder compared with non-patients: results from a free-viewing eye-tracking study.边缘型人格障碍患者与非患者相比,积极注意偏向降低:一项自由观看眼动追踪研究的结果
Borderline Personal Disord Emot Dysregul. 2024 Sep 16;11(1):24. doi: 10.1186/s40479-024-00267-y.
2
Individuals vary in their overt attention preference for positive images consistently across time and stimulus types.个体在不同时间和刺激类型下对正性图像的显性注意偏好存在差异。
Sci Rep. 2024 Apr 15;14(1):8712. doi: 10.1038/s41598-024-58987-8.