Expectations of immediate and delayed reward differentially affect cognitive task performance

心理学 情感(语言学) 刺激(心理学) 认知 事件相关电位 任务(项目管理) 认知心理学 神经活动 奖励制度 神经科学 沟通 经济 管理
作者
Yachao Rong,Ningxuan Chen,Jiarui Dong,Qi Li,Xiaodong Yue,Li Hu,Ping Wei
出处
期刊:NeuroImage [Elsevier]
卷期号:262: 119582-119582 被引量:9
标识
DOI:10.1016/j.neuroimage.2022.119582
摘要

The current study used a modified Monetary Incentive Delay task to examine the neural mechanisms underlying anticipating and receiving an immediate or delayed reward and examined the influence of pursuing these rewards on cognitive task performance. A pre-cue indicating the potential of gaining a monetary reward (immediate-, delayed-, vs. no-reward) was followed by a target stimulus requiring a fast and accurate response. Then, response-contingent feedback was presented indicating whether or not the participant would receive the corresponding reward. Linear mixed-effect models revealed the fastest behavioural responses and the strongest neural activity, as reflected in event-related-potentials and event-related-spectral-perturbation responses, for immediate reward, followed by delayed reward, with the slowest behavioural responses and the weakest neural activities observed in the no-reward condition. Expectations related to the cue-P3 component and the cue-delta activities predicted behavioural performance, especially in the immediate reward condition. Moreover, exploratory analyses revealed that depression moderated the relationship between target-locked neural activity and behavioural performance in the delayed reward condition, with lower neural activity being related to worse behavioural performance amongst participants scoring high on depression. These results indicate that differential value representations formed through delay discounting directly affect neural responses in reward processing and directly influence the effort invested in the current task, which is reflected by behavioural responses and is in agreement with the expected value of control theory.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
求助发布了新的文献求助10
刚刚
sun0115完成签到 ,获得积分10
刚刚
彭淑华完成签到,获得积分10
刚刚
科研1发布了新的文献求助10
刚刚
菠菜发布了新的文献求助10
1秒前
橘x应助嘟嘟女孩采纳,获得30
1秒前
林菲菲完成签到,获得积分10
1秒前
bubble完成签到,获得积分10
1秒前
乐乐应助JE采纳,获得10
2秒前
柚子完成签到 ,获得积分10
2秒前
大菊完成签到,获得积分10
2秒前
发sci发布了新的文献求助10
2秒前
陶醉的星月完成签到,获得积分10
2秒前
Faith发布了新的文献求助10
2秒前
3秒前
风中龙猫发布了新的文献求助20
3秒前
liushikai应助YYY采纳,获得20
3秒前
腿毛没啦完成签到,获得积分10
4秒前
舒适静丹完成签到,获得积分10
4秒前
4秒前
巫马垣发布了新的文献求助10
4秒前
4秒前
红与黑完成签到,获得积分10
4秒前
科研通AI2S应助炙热的之双采纳,获得10
5秒前
cong666完成签到,获得积分10
5秒前
水之形发布了新的文献求助10
6秒前
葳蕤苍生发布了新的文献求助10
6秒前
6秒前
充电宝应助冯琳栋采纳,获得10
6秒前
7秒前
JamesPei应助Dennis_Ye采纳,获得10
7秒前
7秒前
沉默的香氛完成签到 ,获得积分10
7秒前
7秒前
嘻嘻发布了新的文献求助10
8秒前
多羊完成签到,获得积分10
8秒前
dew应助sht采纳,获得10
8秒前
hyperthermal1完成签到,获得积分10
8秒前
善缎完成签到,获得积分20
9秒前
Ting发布了新的文献求助10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Aerospace Standards Index - 2026 ASIN2026 3000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6051775
求助须知:如何正确求助?哪些是违规求助? 7864198
关于积分的说明 16271197
捐赠科研通 5197124
什么是DOI,文献DOI怎么找? 2780890
邀请新用户注册赠送积分活动 1763794
关于科研通互助平台的介绍 1645784