A Common Neural Account for Social and Nonsocial Decisions

脑电图 前额叶皮质 心理学 认知心理学 功能磁共振成像 背景(考古学) 大脑定位 神经科学 认知 生物 古生物学
作者
Desislava H. Arabadzhiyska,Oliver Garrod,Elsa Fouragnan,Emanuele De Luca,Philippe G. Schyns,Marios G. Philiastides
出处
期刊:The Journal of Neuroscience [Society for Neuroscience]
卷期号:42 (48): 9030-9044 被引量:2
标识
DOI:10.1523/jneurosci.0375-22.2022
摘要

To date, social and nonsocial decisions have been studied largely in isolation. Consequently, the extent to which social and nonsocial forms of decision uncertainty are integrated using shared neurocomputational resources remains elusive. Here, we address this question using simultaneous electroencephalography (EEG)-functional magnetic resonance imaging (fMRI) in healthy human participants (young adults of both sexes) and a task in which decision evidence in social and nonsocial contexts varies along comparable scales. First, we identify time-resolved build-up of activity in the EEG, akin to a process of evidence accumulation (EA), across both contexts. We then use the endogenous trial-by-trial variability in the slopes of these accumulating signals to construct parametric fMRI predictors. We show that a region of the posterior-medial frontal cortex (pMFC) uniquely explains trial-wise variability in the process of evidence accumulation in both social and nonsocial contexts. We further demonstrate a task-dependent coupling between the pMFC and regions of the human valuation system in dorso-medial and ventro-medial prefrontal cortex across both contexts. Finally, we report domain-specific representations in regions known to encode the early decision evidence for each context. These results are suggestive of a domain-general decision-making architecture, whereupon domain-specific information is likely converted into a "common currency" in medial prefrontal cortex and accumulated for the decision in the pMFC.SIGNIFICANCE STATEMENT Little work has directly compared social-versus-nonsocial decisions to investigate whether they share common neurocomputational origins. Here, using combined electroencephalography (EEG)-functional magnetic resonance imaging (fMRI) and computational modeling, we offer a detailed spatiotemporal account of the neural underpinnings of social and nonsocial decisions. Specifically, we identify a comparable mechanism of temporal evidence integration driving both decisions and localize this integration process in posterior-medial frontal cortex (pMFC). We further demonstrate task-dependent coupling between the pMFC and regions of the human valuation system across both contexts. Finally, we report domain-specific representations in regions encoding the early, domain-specific, decision evidence. These results suggest a domain-general decision-making architecture, whereupon domain-specific information is converted into a common representation in the valuation system and integrated for the decision in the pMFC.

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
美满的雁桃完成签到 ,获得积分10
8秒前
lyra1111完成签到,获得积分10
8秒前
初见完成签到 ,获得积分10
10秒前
d_fishier完成签到 ,获得积分10
11秒前
Dr-Luo完成签到 ,获得积分10
16秒前
yaomax完成签到 ,获得积分10
19秒前
无奈山雁完成签到 ,获得积分10
22秒前
豆豆完成签到 ,获得积分10
23秒前
sponge完成签到 ,获得积分10
26秒前
乌特拉完成签到 ,获得积分10
28秒前
丁上你了完成签到 ,获得积分10
32秒前
AM完成签到 ,获得积分10
33秒前
玛雅太阳神完成签到,获得积分10
36秒前
whuhustwit完成签到,获得积分10
36秒前
神经大侠完成签到,获得积分10
37秒前
yk完成签到 ,获得积分10
40秒前
飞翔的鸣完成签到,获得积分10
40秒前
新鲜楠瓜皮完成签到,获得积分10
40秒前
baa完成签到,获得积分10
46秒前
调皮平蓝完成签到,获得积分10
50秒前
猪鼓励完成签到,获得积分10
52秒前
YAE完成签到 ,获得积分10
54秒前
mrconli完成签到,获得积分10
54秒前
molihuakai应助科研通管家采纳,获得10
54秒前
king07完成签到,获得积分10
54秒前
落寞的幻竹完成签到,获得积分10
55秒前
ldr888完成签到,获得积分10
55秒前
好运加满完成签到 ,获得积分10
56秒前
唐陌完成签到 ,获得积分10
1分钟前
端庄代荷完成签到 ,获得积分10
1分钟前
amigo完成签到,获得积分10
1分钟前
chunlily完成签到 ,获得积分10
1分钟前
Kikiya完成签到 ,获得积分20
1分钟前
wwww完成签到,获得积分10
1分钟前
Somui完成签到 ,获得积分10
1分钟前
NexusExplorer应助爱听歌笑寒采纳,获得10
1分钟前
蓝色花生豆完成签到,获得积分0
1分钟前
科研通AI2S应助xuxu213采纳,获得10
1分钟前
1分钟前
内向鼠标完成签到 ,获得积分10
1分钟前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7252936
求助须知:如何正确求助?哪些是违规求助? 8875060
关于积分的说明 18734558
捐赠科研通 6933484
什么是DOI,文献DOI怎么找? 3199826
关于科研通互助平台的介绍 2374606
邀请新用户注册赠送积分活动 2174506