Two-stage processing in automatic detection of emotional intensity: a scalp event-related potential study

被引:11
作者
Wang, Yifeng [1 ]
Liu, Feng [1 ]
Li, Rong [1 ]
Yang, Yang [1 ]
Liu, Tiejun [1 ]
Chen, Huafu [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Life Sci & Technol, Minist Educ, Key Lab Neuroinformat, Chengdu 610054, Peoples R China
基金
高等学校博士学科点专项科研基金;
关键词
anger; emotional intensity; N1; N170; P1; re-entrant; two-stage processing; PERCEPTION; AMYGDALA; ATTENTION; AROUSAL; FEARFUL; N170;
D O I
10.1097/WNR.0b013e328364d59d
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Scalp electrophysiological studies have supposed that emotional intensity is processed from about 170 ms. However, this is inconsistent with the rapid emotion detection of the amygdala at around 100 ms. Besides, it is unreasonable to apply this assertion to all emotional types considering emotional-specific neural networks and fast/slow emotional routes. The current paper examined whether the earliest intensity effect appeared at around 170 ms for angry expression with a fast frontal-limbic pathway. In this event-related potential study, 30 graduates completed a change detection task rather than intensity evaluation. Before N170, the earliest intensity effects (P's<0.001) were found at about 100 ms with a latency delay from the frontal area to occipitotemporal sites. Automatic detection of expressional intensity was also shown by behavioral and oral reports. These results coincided with the emotional detection function of the amygdala and the view of a re-entrant mechanism in emotion recognition. Together with previous research, we suggested a two-stage processing of emotional intensity: re-entrant modulation and fine structure encoding. Overall, these findings shed light on the time course of expressional intensity detection in the emotional-specific neural network. (C) 2013 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins.
引用
收藏
页码:818 / 821
页数:4
相关论文
共 23 条
  • [11] Three stages of facial expression processing: ERP study with rapid serial visual presentation
    Luo, Wenbo
    Feng, Wenfeng
    He, Weiqi
    Wang, Nai-Yi
    Luo, Yue-Jia
    [J]. NEUROIMAGE, 2010, 49 (02) : 1857 - 1867
  • [12] A differential neural response in the human amygdala to fearful and happy facial expressions
    Morris, JS
    Frith, CD
    Perrett, DI
    Rowland, D
    Young, AW
    Calder, AJ
    Dolan, RJ
    [J]. NATURE, 1996, 383 (6603) : 812 - 815
  • [13] Delayed striate cortical activation during spatial attention
    Noesselt, T
    Hillyard, SA
    Woldorff, MG
    Schoenfeld, A
    Hagner, T
    Jäncke, L
    Tempelmann, C
    Hinrichs, H
    Heinze, HJ
    [J]. NEURON, 2002, 35 (03) : 575 - 587
  • [14] Effects of age and emotional intensity on the recognition of facial emotion
    Orgeta, Vasiliki
    Phillips, Louise H.
    [J]. EXPERIMENTAL AGING RESEARCH, 2008, 34 (01) : 63 - 79
  • [15] Brain mechanisms for emotional influences on perception and attention: What is magic and what is not
    Pourtois, Gilles
    Schettino, Antonio
    Vuilleumier, Patrik
    [J]. BIOLOGICAL PSYCHOLOGY, 2013, 92 (03) : 492 - 512
  • [16] Temporal precedence of emotion over attention modulations in the lateral amygdala: Intracranial ERP evidence from a patient with temporal lobe epilepsy
    Pourtois, Gilles
    Spinelli, Laurent
    Seeck, Margitta
    Vuilleumier, Patrik
    [J]. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE, 2010, 10 (01) : 83 - 93
  • [17] PLEASURE-AROUSAL THEORY AND THE INTENSITY OF EMOTIONS
    REISENZEIN, R
    [J]. JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY, 1994, 67 (03) : 525 - 539
  • [18] Event related potentials and the perception of intensity in facial expressions
    Sprengelmeyer, Reiner
    Jentzsch, Ines
    [J]. NEUROPSYCHOLOGIA, 2006, 44 (14) : 2899 - 2906
  • [19] Top-down and bottom-up control of visual selection
    Theeuwes, Jan
    [J]. ACTA PSYCHOLOGICA, 2010, 135 (02) : 77 - 99
  • [20] Utama Nugraha P., 2009, Proceedings 2009 International Joint Conference on Neural Networks (IJCNN 2009 - Atlanta), P3156, DOI 10.1109/IJCNN.2009.5178818