Comparing monetary gain and loss in the monetary incentive delay task: EEG evidence

心理学 任务(项目管理) 激励 听力学 脑电图 货币经济学 认知心理学 神经科学 经济 微观经济学 医学 管理
作者
Yan Zhang,Qiuhao Li,Yachao Rong,Li Hu,Hermann J. Müller,Ping Wei
出处
期刊:Psychophysiology [Wiley]
卷期号:60 (12) 被引量:1
标识
DOI:10.1111/psyp.14383
摘要

What is more effective to guide behavior: The desire to gain or the fear to lose? Electroencephalography (EEG) studies have yielded inconsistent answers. In a systematic exploration of the valence and magnitude parameters in monetary gain and loss processing, we used time-domain and time-frequency-domain analyses to uncover the underlying neural processes. A group of 24 participants performed a monetary incentive delay (MID) task in which cue-induced anticipation of a high or low magnitude of gain or loss was manipulated trial-wise. Behaviorally, the anticipation of both gain and loss expedited responses, with gain anticipation producing greater facilitation than loss anticipation. Analyses of cue-locked P2 and P3 components revealed the significant valence main effect and valence × magnitude interaction: amplitude differences between high and low incentive magnitudes were larger with gain vs. loss cues. However, the contingent negative variation component was sensitive to incentive magnitude but did not vary with incentive valence. In the feedback phase, the RewP component exhibited reversed patterns for gain and loss trials. Time-frequency analyses revealed a large increase in delta/theta-ERS oscillatory activity in high- vs. low-magnitude conditions and a large decrease of alpha-ERD oscillatory activity in gain vs. loss conditions in the anticipation stage. In the consumption stage, delta/theta-ERS turned out stronger for negative than positive feedback, especially in the gain condition. Overall, our study provides new evidence for the neural oscillatory features of monetary gain and loss processing in the MID task, suggesting that participants invested more attention under gain and high-magnitude conditions vs. loss and low-magnitude conditions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
everestsnow完成签到 ,获得积分10
刚刚
33完成签到,获得积分10
1秒前
FanTsai完成签到,获得积分10
1秒前
Muhebbet完成签到,获得积分10
2秒前
3秒前
打打应助知足的憨人丫丫采纳,获得10
3秒前
酷波er应助难过的翠霜采纳,获得10
4秒前
8秒前
11秒前
孜孜不倦发布了新的文献求助10
11秒前
13秒前
15778881974完成签到,获得积分20
15秒前
南与晚霞发布了新的文献求助10
16秒前
16秒前
16秒前
17秒前
satori完成签到,获得积分10
18秒前
zzzq完成签到 ,获得积分10
19秒前
19秒前
CCsci完成签到 ,获得积分10
19秒前
20秒前
笑容发布了新的文献求助10
20秒前
24秒前
小蘑菇应助未知如果采纳,获得10
24秒前
朱光辉发布了新的文献求助10
24秒前
背后如雪完成签到,获得积分10
26秒前
Andrew发布了新的文献求助10
27秒前
清脆从灵发布了新的文献求助10
30秒前
风中的盼烟完成签到,获得积分20
33秒前
孙皓然完成签到 ,获得积分10
35秒前
CipherSage应助yeye采纳,获得10
36秒前
38秒前
凡平发布了新的文献求助10
38秒前
38秒前
39秒前
亚高山暗针叶林完成签到 ,获得积分10
39秒前
ice完成签到,获得积分10
39秒前
酒剑仙完成签到,获得积分10
39秒前
40秒前
可乐完成签到,获得积分10
42秒前
高分求助中
【重要!!请各位用户详细阅读此贴】科研通的精品贴汇总(请勿应助) 10000
Plutonium Handbook 1000
Robot-supported joining of reinforcement textiles with one-sided sewing heads 640
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 540
Thermal Quadrupoles: Solving the Heat Equation through Integral Transforms 500
SPSS for Windows Step by Step: A Simple Study Guide and Reference, 17.0 Update (10th Edition) 500
Chinese Buddhist Monasteries: Their Plan and Its Function As a Setting for Buddhist Monastic Life 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4117141
求助须知:如何正确求助?哪些是违规求助? 3655693
关于积分的说明 11575681
捐赠科研通 3358706
什么是DOI,文献DOI怎么找? 1845166
邀请新用户注册赠送积分活动 910636
科研通“疑难数据库(出版商)”最低求助积分说明 827016