Predicting risk decisions in a modified Balloon Analogue Risk Task: Conventional and single-trial ERP analyses | |
Gu, Ruolei1,2; Zhang, Dandan3; Luo, Yi4,5; Wang, Hongyan1,2; Broster, Lucas S.6 | |
第一作者 | Gu, Ruolei |
通讯作者邮箱 | zhangdd05@gmail.com |
心理所单位排序 | 1 |
摘要 | Event-related potential (ERP) has the potential to reveal the temporal neurophysiological dynamics of risk decision-making, but this potential has not been fully explored in previous studies. When predicting risk decision with ERPs, most studies focus on between-trial analysis that reflects feedback learning, while within-trial analysis that could directly link option assessment with behavioral output has been largely ignored. Suitable task design is crucial for applying within-trial prediction. In this study, we used a modified version of the classic Balloon Analogue Risk Task (BART). In each trial of the task, participants made multiple rounds of decisions between a risky option (pump up the balloon) and a safe option (cash out). Behavioral results show that as the level of economic risk increased, participants were less willing to make a risky decision and also needed a longer response time to do so. In general, the ERP results showed distinct characteristics compared with previous findings based on between-trial prediction, particularly about the role of the P1 component. Specifically, both the P1 (amplitude and latency) and P3 (amplitude) components evoked by current outcomes predicted subsequent decisions. We suggest that these findings indicate the importance of selective attention (indexed by the P1) and motivational functions (indexed by the P3), which may help clarify the cognitive mechanism of risk decision-making. The theoretical significance of these findings is discussed. |
关键词 | Decision-making Risk preference Balloon Analogue Risk Task (BART) Event-related potential (ERP) P1 component P3 component |
2018-02-01 | |
语种 | 英语 |
DOI | 10.3758/s13415-017-0555-3 |
发表期刊 | COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE |
ISSN | 1530-7026 |
卷号 | 18期号:1页码:99-116 |
期刊论文类型 | Article |
收录类别 | SCI ; SSCI |
WOS关键词 | FEEDBACK-RELATED NEGATIVITY ; MEDIAL FRONTAL-CORTEX ; NEURAL MECHANISMS ; BRAIN ACTIVITY ; ORBITOFRONTAL CORTEX ; SELECTIVE ATTENTION ; SENSATION SEEKING ; LOSS AVERSION ; YOUNG-ADULTS ; MAKING TASK |
WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
WOS研究方向 | Behavioral Sciences ; Neurosciences & Neurology |
WOS类目 | Behavioral Sciences ; Neurosciences |
WOS记录号 | WOS:000425984100008 |
Q分类 | Q1 |
资助机构 | National Natural Science Foundation of China(31571120 ; State Scholarship Fund(201504910062) ; National Institutes of Health(R25 MH060482) ; 31571124) |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/25733 |
专题 | 社会与工程心理学研究室 |
通讯作者 | Zhang, Dandan |
作者单位 | 1.Inst Psychol, CAS Key Lab Behav Sci, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China 3.Shenzhen Univ, Inst Affect & Social Neurosci, Shenzhen, Peoples R China 4.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing, Peoples R China 5.Virginia Tech Caril Res Inst, Roanoke, VA USA 6.Univ Calif San Francisco, Dept Psychiat, San Francisco, CA USA |
第一作者单位 | 中国科学院行为科学重点实验室 |
推荐引用方式 GB/T 7714 | Gu, Ruolei,Zhang, Dandan,Luo, Yi,et al. Predicting risk decisions in a modified Balloon Analogue Risk Task: Conventional and single-trial ERP analyses[J]. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE,2018,18(1):99-116. |
APA | Gu, Ruolei,Zhang, Dandan,Luo, Yi,Wang, Hongyan,&Broster, Lucas S..(2018).Predicting risk decisions in a modified Balloon Analogue Risk Task: Conventional and single-trial ERP analyses.COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE,18(1),99-116. |
MLA | Gu, Ruolei,et al."Predicting risk decisions in a modified Balloon Analogue Risk Task: Conventional and single-trial ERP analyses".COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 18.1(2018):99-116. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
CABN-RA-17-003.R3.pd(2598KB) | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论