Decoding the Specificity of Post-Error Adjustments Using EEG-Based Multivariate Pattern Analysis

被引:14
|
作者
Li, Qing [1 ]
Wang, Jing [1 ]
Li, Zhifang [1 ]
Chen, Antao [2 ]
机构
[1] Southwest Univ, Fac Psychol, Key Lab Cognit, Personal Minist Educ, Chongqing 400715, Peoples R China
[2] Shanghai Univ Sport, Sch Psychol, Shanghai 200438, Peoples R China
来源
JOURNAL OF NEUROSCIENCE | 2022年 / 42卷 / 35期
基金
中国国家自然科学基金;
关键词
error types; event -related potential; multivariate pattern analysis; post -error adjustments;
D O I
10.1523/JNEUROSCI.0590-22.2022
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Errors can elicit post-error adjustments that serve to optimize performance by preventing further errors. An essential but unsolved issue is that whether post-error adjustments are domain-general or domain-specific, which was investigated in the present study through eliciting different types of errors. Behavioral and electrophysiological data were recorded when male and female subjects performed the Eriksen flanker task. For this study, we examined the aforementioned issue by combining event-related potential and multivariate pattern analysis. The results indicated that post-error slowing, error-related negativity, and error positivity were comparable between congruent and incongruent errors, indicating that errors triggered domaingeneral interference mechanisms, whereas post-error accuracy and late positive potential elicited by incongruent errors were larger than those elicited by congruent errors, exhibiting domain-specific control adjustment mechanisms. Importantly, no successful decoding soon after errors was found between congruent and incongruent errors, but above-chance decoding was observed between these two types of errors with increasing time, which further support that domain-general adjustments occurred in the early stage, whereas domain-specific adjustments appeared in the late stage. Furthermore, brain-behavior correlation results suggested that the late post-error adjustments predicted subsequent behavior performance. Together, this study revealed that early domain-general interference adjustments induced by errors are reflected in error detection and error awareness, which are independent of error types; on the contrary, late domain-specific control adjustments are reflected in attentional adjustments, which are modulated by error types.
引用
收藏
页码:6800 / 6809
页数:10
相关论文
共 50 条
  • [1] Decoding the task specificity of post-error adjustments: Features and determinants
    Li, Qing
    Wang, Jing
    Meng, Zong
    Chen, Yongqiang
    Zhang, Mengke
    Hu, Na
    Chen, Xu
    Chen, Antao
    NEUROIMAGE, 2024, 297
  • [2] Context Specificity of Post-Error and Post-Conflict Cognitive Control Adjustments
    Forster, Sarah E.
    Cho, Raymond Y.
    PLOS ONE, 2014, 9 (03):
  • [3] Performance monitoring and post-error adjustments in adults with attention-deficit/hyperactivity disorder: an EEG analysis
    Ehlis, Ann-Christine
    Deppermann, Saskia
    Fallgatter, Andreas J.
    JOURNAL OF PSYCHIATRY & NEUROSCIENCE, 2018, 43 (06): : 396 - 406
  • [4] Multivariate Pattern Analysis of EEG-Based Functional Connectivity: A Study on the Identification of Depression
    Peng, Hong
    Xia, Chen
    Wang, Zihan
    Zhu, Jing
    Zhang, Xin
    Sun, Shuting
    Li, Jianxiu
    Huo, Xiaoning
    Li, Xiaowei
    IEEE ACCESS, 2019, 7 : 92630 - 92641
  • [5] EEG-based multivariate pattern analysis reveals the control mechanisms of emotion regulation through distancing
    Wang, Jing
    Li, Qing
    Li, Zhifang
    Chen, Antao
    INTERNATIONAL JOURNAL OF CLINICAL AND HEALTH PSYCHOLOGY, 2024, 24 (01)
  • [6] EEG-BASED MULTIVARIATE STATISTICAL-ANALYSIS OF SLEEP STAGES
    MOLINARI, L
    DUMERMUTH, G
    LANGE, B
    NEUROPSYCHOBIOLOGY, 1984, 11 (02) : 140 - 148
  • [7] EEG-BASED AUDITORY ATTENTION DECODING USING STEERABLE BINAURAL SUPERDIRECTIVE BEAMFORMER
    Aroudi, Ali
    Marquardt, Daniel
    Doclo, Simon
    2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2018, : 851 - 855
  • [8] Decoding cognition in neurodevelopmental, psychiatric and neurological conditions with multivariate pattern analysis of EEG data
    Marsicano, Gianluca
    Bertini, Caterina
    Ronconi, Luca
    NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS, 2024, 164
  • [9] Decoding Neural Representational Spaces Using Multivariate Pattern Analysis
    Haxby, James V.
    Connolly, Andrew C.
    Guntupalli, J. Swaroop
    ANNUAL REVIEW OF NEUROSCIENCE, VOL 37, 2014, 37 : 435 - 456
  • [10] Improving EEG-based error detection using relative peak features
    Ashley, Adrian L.
    Arvaneh, Mahnaz
    42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, 2020, : 272 - 275