• 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

自闭症个体在面部编码与识别过程中不会改变视觉处理策略:一种隐马尔可夫模型方法。

Autistic Individuals Do Not Alter Visual Processing Strategy During Encoding Versus Recognition of Faces: A Hidden Markov Modeling Approach.

作者信息

Griffin Jason W, Webb Sara Jane, Keehn Brandon, Dawson Geraldine, McPartland James C

机构信息

Yale Child Study Center, Yale University School of Medicine, New Haven, CT, 06520, USA.

Center of Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, USA.

出版信息

J Autism Dev Disord. 2024 Mar 2. doi: 10.1007/s10803-024-06259-9.

DOI:10.1007/s10803-024-06259-9
PMID:38430386
Abstract

PURPOSE

Visual face recognition-the ability to encode, discriminate, and recognize the faces of others-is fundamentally supported by eye movements and is a common source of difficulty for autistic individuals. We aimed to evaluate how visual processing strategies (i.e., eye movement patterns) directly support encoding and recognition of faces in autistic and neurotypical (NT) individuals.

METHODS

We used a hidden Markov modeling approach to evaluate the spatiotemporal dynamics of eye movements in autistic (n = 15) and neurotypical (NT) adolescents (n = 17) during a face identity recognition task.

RESULTS

We discovered distinct eye movement patterns among all participants, which included a focused and exploratory strategy. When evaluating change in visual processing strategy across encoding and recognition phases, autistic individuals did not shift their eye movement patterns like their NT peers, who shifted to a more exploratory visual processing strategy during recognition.

CONCLUSION

These findings suggest that autistic individuals do not modulate their visual processing strategy across encoding and recognition of faces, which may be an indicator of less efficient face processing.

摘要

目的

视觉人脸识别——对他人面部进行编码、辨别和识别的能力——从根本上受到眼动的支持,并且是自闭症个体常见的困难来源。我们旨在评估视觉加工策略(即眼动模式)如何直接支持自闭症个体和神经典型(NT)个体对面部的编码和识别。

方法

我们采用隐马尔可夫建模方法,评估自闭症青少年(n = 15)和神经典型(NT)青少年(n = 17)在面部身份识别任务期间眼动的时空动态。

结果

我们在所有参与者中发现了不同的眼动模式,其中包括一种聚焦和探索性策略。在评估编码和识别阶段视觉加工策略的变化时,自闭症个体不像他们的NT同龄人那样改变眼动模式,NT同龄人在识别过程中转向了更具探索性的视觉加工策略。

结论

这些发现表明,自闭症个体在对面部进行编码和识别时不会调节其视觉加工策略,这可能是面部加工效率较低的一个指标。

相似文献

1
Autistic Individuals Do Not Alter Visual Processing Strategy During Encoding Versus Recognition of Faces: A Hidden Markov Modeling Approach.自闭症个体在面部编码与识别过程中不会改变视觉处理策略:一种隐马尔可夫模型方法。
J Autism Dev Disord. 2024 Mar 2. doi: 10.1007/s10803-024-06259-9.
2
Spatiotemporal Eye Movement Dynamics Reveal Altered Face Prioritization in Early Visual Processing Among Autistic Children.时空眼动动力学揭示自闭症儿童早期视觉处理中面部优先级的改变。
Biol Psychiatry Cogn Neurosci Neuroimaging. 2025 Jan;10(1):45-57. doi: 10.1016/j.bpsc.2024.08.017. Epub 2024 Sep 3.
3
Emotion recognition in autism spectrum disorder across age groups: A cross-sectional investigation of various visual and auditory communicative domains.自闭症谱系障碍各年龄段的情绪识别:对各种视觉和听觉交流领域的横断面研究。
Autism Res. 2023 Apr;16(4):783-801. doi: 10.1002/aur.2896. Epub 2023 Feb 2.
4
Investigating the Face Inversion Effect in Autism Across Behavioral and Neural Measures of Face Processing: A Systematic Review and Bayesian Meta-Analysis.自闭症患者面部加工的行为和神经测量中的面孔倒置效应研究:系统评价和贝叶斯荟萃分析。
JAMA Psychiatry. 2023 Oct 1;80(10):1026-1036. doi: 10.1001/jamapsychiatry.2023.2105.
5
Do portrait artists have enhanced face processing abilities? Evidence from hidden Markov modeling of eye movements.肖像画家是否具有增强的面部处理能力?基于眼动隐藏 Markov 模型的证据。
Cognition. 2021 Jun;211:104616. doi: 10.1016/j.cognition.2021.104616. Epub 2021 Feb 13.
6
Does decreased visual attention to faces underlie difficulties interpreting eye gaze cues in autism?自闭症患者在解读眼神线索时存在困难,这是否与他们对面部视觉注意力的减少有关?
Mol Autism. 2020 Jul 21;11(1):60. doi: 10.1186/s13229-020-00361-2.
7
Investigating automatic emotion processing in boys with autism via eye tracking and facial mimicry recordings.通过眼动追踪和面部模仿记录研究自闭症男孩的自动情绪处理。
Autism Res. 2021 Jul;14(7):1404-1420. doi: 10.1002/aur.2490. Epub 2021 Mar 11.
8
The role of face familiarity in eye tracking of faces by individuals with autism spectrum disorders.面孔熟悉度在自闭症谱系障碍个体对面孔的眼动追踪中的作用。
J Autism Dev Disord. 2008 Oct;38(9):1666-75. doi: 10.1007/s10803-008-0550-1. Epub 2008 Feb 28.
9
Autistic children's visual sensitivity to face movement.
Dev Psychopathol. 2023 Aug 7:1-10. doi: 10.1017/S0954579423000883.
10
Is it me? Self-recognition bias across sensory modalities and its relationship to autistic traits.是我吗?跨感觉通道的自我识别偏差及其与自闭症特征的关系。
Mol Autism. 2015 Mar 30;6:20. doi: 10.1186/s13229-015-0016-1. eCollection 2015.

引用本文的文献

1
Spatiotemporal Eye Movement Dynamics Reveal Altered Face Prioritization in Early Visual Processing Among Autistic Children.时空眼动动力学揭示自闭症儿童早期视觉处理中面部优先级的改变。
Biol Psychiatry Cogn Neurosci Neuroimaging. 2025 Jan;10(1):45-57. doi: 10.1016/j.bpsc.2024.08.017. Epub 2024 Sep 3.

本文引用的文献

1
Investigating the Face Inversion Effect in Autism Across Behavioral and Neural Measures of Face Processing: A Systematic Review and Bayesian Meta-Analysis.自闭症患者面部加工的行为和神经测量中的面孔倒置效应研究:系统评价和贝叶斯荟萃分析。
JAMA Psychiatry. 2023 Oct 1;80(10):1026-1036. doi: 10.1001/jamapsychiatry.2023.2105.
2
Spatial Integration in Normal Face Processing and Its Breakdown in Congenital Prosopagnosia.正常面孔加工中的空间整合及其在先天性面孔失认症中的破坏。
Annu Rev Vis Sci. 2021 Sep 15;7:301-321. doi: 10.1146/annurev-vision-113020-012740. Epub 2021 May 20.
3
The Episodic Memory Profile in Autism Spectrum Disorder: A Bayesian Meta-Analysis.
自闭症谱系障碍中的情节记忆特征:贝叶斯荟萃分析。
Neuropsychol Rev. 2022 Jun;32(2):316-351. doi: 10.1007/s11065-021-09493-5. Epub 2021 May 5.
4
A quantitative meta-analysis of face recognition deficits in autism: 40 years of research.自闭症人脸识别缺陷的定量荟萃分析:40 年研究。
Psychol Bull. 2021 Mar;147(3):268-292. doi: 10.1037/bul0000310. Epub 2020 Oct 26.
5
Eye Movement Dynamics Differ between Encoding and Recognition of Faces.面部编码与识别过程中的眼动动态存在差异。
Vision (Basel). 2019 Feb 12;3(1):9. doi: 10.3390/vision3010009.
6
How many faces do people know?人们能识别多少张面孔?
Proc Biol Sci. 2018 Oct 10;285(1888):20181319. doi: 10.1098/rspb.2018.1319.
7
Patterns of fixation during face recognition: Differences in autism across age.面孔识别过程中的注视模式:自闭症在不同年龄段的差异。
Autism. 2018 Oct;22(7):866-880. doi: 10.1177/1362361317714989. Epub 2017 Aug 6.
8
Developing Clinically Practicable Biomarkers for Autism Spectrum Disorder.开发自闭症谱系障碍的临床实用生物标志物。
J Autism Dev Disord. 2017 Sep;47(9):2935-2937. doi: 10.1007/s10803-017-3237-7.
9
A Meta-Analysis of Gaze Differences to Social and Nonsocial Information Between Individuals With and Without Autism.自闭症患者与非自闭症患者对社会和非社会信息的注视差异的荟萃分析。
J Am Acad Child Adolesc Psychiatry. 2017 Jul;56(7):546-555. doi: 10.1016/j.jaac.2017.05.005. Epub 2017 May 11.
10
Is having similar eye movement patterns during face learning and recognition beneficial for recognition performance? Evidence from hidden Markov modeling.在面部学习和识别过程中具有相似的眼动模式对识别性能有益吗?来自隐马尔可夫模型的证据。
Vision Res. 2017 Dec;141:204-216. doi: 10.1016/j.visres.2017.03.010. Epub 2017 May 4.