PSYCH OpenIR  > 社会与工程心理学研究室
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
2018-02-01
发表期刊COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE
通讯作者邮箱zhangdd05@gmail.com
ISSN1530-7026
文章类型Article
卷号18期号:1页码:99-116
Q分类Q1
产权排序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
DOI10.3758/s13415-017-0555-3
收录类别SCI ; SSCI
语种英语
项目资助者National Natural Science Foundation of China(31571120 ; State Scholarship Fund(201504910062) ; National Institutes of Health(R25 MH060482) ; 31571124)
WOS研究方向Behavioral Sciences ; Neurosciences & Neurology
WOS类目Behavioral Sciences ; Neurosciences
WOS记录号WOS:000425984100008
WOS标题词Science & Technology ; Life Sciences & Biomedicine
关键词[WOS]FEEDBACK-RELATED NEGATIVITY ; MEDIAL FRONTAL-CORTEX ; NEURAL MECHANISMS ; BRAIN ACTIVITY ; ORBITOFRONTAL CORTEX ; SELECTIVE ATTENTION ; SENSATION SEEKING ; LOSS AVERSION ; YOUNG-ADULTS ; MAKING TASK
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
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开放获取CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Gu, Ruolei]的文章
[Zhang, Dandan]的文章
[Luo, Yi]的文章
百度学术
百度学术中相似的文章
[Gu, Ruolei]的文章
[Zhang, Dandan]的文章
[Luo, Yi]的文章
必应学术
必应学术中相似的文章
[Gu, Ruolei]的文章
[Zhang, Dandan]的文章
[Luo, Yi]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。