PSYCH OpenIR  > 中国科学院心理健康重点实验室
Electrophysiological indexes of option characteristic processing
Lin, Yongling1,2; Duan, Lian1,2; Xu, Pengfei1,2; Li, Xinying3,4; Gu, Ruolei4,5; Luo, Yuejia1,2
2019-10-01
Source PublicationPSYCHOPHYSIOLOGY
Correspondent Emailluoyj@szu.edu.cn ; gurl@psych.ac.cn
ISSN0048-5772
Subtypearticle
Volume56Issue:10Pages:11
Abstract

Decision making is vital to human behavior and can be divided into multiple stages including option assessment, behavioral output, and feedback evaluation. Studying how people evaluate option characteristics in the option assessment stage would provide important knowledge on human decision making. Using the event-related potential (ERP) method, the present study investigated the neural mechanism of evaluating two types of option characteristics (i.e., reward magnitude and degree of uncertainty) in the temporal dimension. Thirty-five volunteers participated in a monetary gambling task, where they either accepted or rejected gambles. The ERP results showed a double dissociation pattern, with the early P1 component being sensitive to magnitude but insensitive to degree of uncertainty, while both the N2 and P3 components showed the opposite pattern. The results suggest that these two fundamental option features are assessed rapidly and separately in the human brain. Specifically, small magnitude elicited a larger P1 than did large magnitude, indicating that the perceptual and attentional processing of options is modulated by magnitude. Both the N2 and P3 amplitudes evoked by the risky context were larger than those evoked by the ambiguous one, reflecting that more cognitive conflicts and resources are involved in the former condition. Furthermore, the P1, but not the N2 or P3, amplitude was sensitive to decisions, suggesting that early attentional processes may contribute to human decision making. These findings may provide insight into the temporal mechanisms of option characteristic processing.

Keyworddegree of uncertainty ERP N2 option assessment outcome magnitude P1 P3
DOI10.1111/psyp.13403
Indexed BySCI
Language英语
WOS Research AreaPsychology ; Neurosciences & Neurology ; Physiology
WOS SubjectPsychology, Biological ; Neurosciences ; Physiology ; Psychology ; Psychology, Experimental
WOS IDWOS:000486197700006
PublisherWILEY
WOS KeywordEVENT-RELATED POTENTIALS ; DECISION-MAKING ; REWARD MAGNITUDE ; LOSS AVERSION ; N2 COMPONENT ; TOP-DOWN ; RISK ; ERP ; UNCERTAINTY ; NEUROBIOLOGY
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/30007
Collection中国科学院心理健康重点实验室
中国科学院行为科学重点实验室
Corresponding AuthorGu, Ruolei; Luo, Yuejia
Affiliation1.Shenzhen Univ, Ctr Brain Disorder & Cognit Sci, Shenzhen 518060, Peoples R China
2.Shenzhen Univ, Shenzhen Key Lab Affect & Social Cognit Sci, Shenzhen, Peoples R China
3.Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, Beijing, Peoples R China
4.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
5.Chinese Acad Sci, Key Lab Behav Sci, Inst Psychol, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Lin, Yongling,Duan, Lian,Xu, Pengfei,et al. Electrophysiological indexes of option characteristic processing[J]. PSYCHOPHYSIOLOGY,2019,56(10):11.
APA Lin, Yongling,Duan, Lian,Xu, Pengfei,Li, Xinying,Gu, Ruolei,&Luo, Yuejia.(2019).Electrophysiological indexes of option characteristic processing.PSYCHOPHYSIOLOGY,56(10),11.
MLA Lin, Yongling,et al."Electrophysiological indexes of option characteristic processing".PSYCHOPHYSIOLOGY 56.10(2019):11.
Files in This Item:
File Name/Size DocType Version Access License
Electrophysiological(687KB)期刊论文作者接受稿限制开放CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Lin, Yongling]'s Articles
[Duan, Lian]'s Articles
[Xu, Pengfei]'s Articles
Baidu academic
Similar articles in Baidu academic
[Lin, Yongling]'s Articles
[Duan, Lian]'s Articles
[Xu, Pengfei]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Lin, Yongling]'s Articles
[Duan, Lian]'s Articles
[Xu, Pengfei]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.