Neural representations of the amount and the delay time of reward in intertemporal decision making.
Neural representations of the amount and the delay time of reward in intertemporal decision making.
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跨期决策中奖励金额和延迟时间的神经表征
DOI：
10.1002/hbm.25445
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发表时间：
2021-08-01
影响因子：
4.8
通讯作者：
Bai X
中科院分区：
文献类型：
--
作者：
Wang Q;Wang Y;Wang P;Peng M;Zhang M;Zhu Y;Wei S;Chen C;Chen X;Luo S;Bai X
许多研究已经检查了跨期决策的神经基础，但很少有系统地研究未来奖励的两个属性（即奖励的数量和延迟时间）的单独神经表征。更重要的是，目前还没有研究使用表征连通性分析（RCA）的新分析方法在多元神经表征水平上绘制两个维度的脑功能网络。本研究在跨期决策任务中独立操纵奖励的数量和延迟时间。单变量和多变量模式分析均表明，奖励量可调节背内侧前额叶皮质（DMPFC）和外侧额叶皮质（LFPC）的脑活动，而延迟时间可调节DMPFC和背外侧前额叶皮质（DLPFC）的脑活动。此外，表征相似性分析（RSA）显示，即使DMPFC在两个维度之间重叠的区域，它们也表现出不同的神经活动模式。在个体差异方面，延迟折现率(k)大的参与者随着奖励量的增加，DMPFC和LFPC的活动增加，但随着延迟时间的增加，DMPFC和DLPFC的活动降低。最后，RCA表明，服务于延迟时间维度的功能连接体的拓扑指标（即全局和局部效率）与个体折现率呈负相关。这些发现为跨期决策中这两个属性的神经表征提供了新的见解，并提供了一种新的方法来构建基于任务的功能脑网络，其拓扑特性与冲动性有关。DMPFC分别代表数量和延迟时间，具有不同的激活模式。基于RCA的数量相关和时间相关的网络拓扑特性可以预测k。
Numerous studies have examined the neural substrates of intertemporal decision‐making, but few have systematically investigated separate neural representations of the two attributes of future rewards (i.e., the amount of the reward and the delay time). More importantly, no study has used the novel analytical method of representational connectivity analysis (RCA) to map the two dimensions' functional brain networks at the level of multivariate neural representations. This study independently manipulated the amount and delay time of rewards during an intertemporal decision task. Both univariate and multivariate pattern analyses showed that brain activity in the dorsomedial prefrontal cortex (DMPFC) and lateral frontal pole cortex (LFPC) was modulated by the amount of rewards, whereas brain activity in the DMPFC and dorsolateral prefrontal cortex (DLPFC) was modulated by the length of delay. Moreover, representational similarity analysis (RSA) revealed that even for the regions of the DMPFC that overlapped between the two dimensions, they manifested distinct neural activity patterns. In terms of individual differences, those with large delay discounting rates (k) showed greater DMPFC and LFPC activity as the amount of rewards increased but showed lower DMPFC and DLPFC activity as the delay time increased. Lastly, RCA suggested that the topological metrics (i.e., global and local efficiency) of the functional connectome subserving the delay time dimension inversely predicted individual discounting rate. These findings provide novel insights into neural representations of the two attributes in intertemporal decisions, and offer a new approach to construct task‐based functional brain networks whose topological properties are related to impulsivity. DMPFC represented both amount and delay‐time with distinct activation patterns. RCA‐based amount‐related and time‐related networks topological properties can predict k.
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DOI：
10.1177/1073858416667720
发表时间：
2017-10
期刊：
The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry
影响因子：
--
作者：
Bassett DS;Bullmore ET
通讯作者：
Bullmore ET
影响因子：
5.7
作者：
Ballard K;Knutson B
通讯作者：
Knutson B
影响因子：
1.3
作者：
Alessi, SM;Petry, NM
通讯作者：
Petry, NM
影响因子：
5.3
作者：
Benoit, Roland G.;Gilbert, Sam J.;Burgess, Paul W.
通讯作者：
Burgess, Paul W.
影响因子：
56.9
作者：
Gehring, WJ;Willoughby, AR
通讯作者：
Willoughby, AR