Reward networks in the brain as captured by connectivity measures.
Reward networks in the brain as captured by connectivity measures.
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DOI：
10.3389/neuro.01.034.2009
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发表时间：
2009
影响因子：
4.3
通讯作者：
Münte TF
中科院分区：
文献类型：
--
作者：
Camara E;Rodriguez-Fornells A;Ye Z;Münte TF
人们认为各种各样的人类行为都是由奖励驱动的，包括强化学习、新奇处理、学习、决策、经济选择、激励动机和成瘾。在每一种情况下，腹侧被盖区/腹侧纹状体（腹侧纹状体核）（VTA-VS）系统已被牵连作为一个关键结构的功能成像研究，主要是在标准的基础上，单变量分析。在这里，我们建议，标准的功能磁共振成像分析需要补充的方法，考虑到不同的行为背景下的VTA-VS系统的差分连接，以更恰当地描述奖励为基础的过程。我们首先考虑从动物实验中出现的更广泛的奖励处理网络。随后，给出了评估功能连接性的方法的示例。最后，我们举例说明了这种分析的有用性，奖励的价值，奖励期望和奖励在成瘾中的作用。
An assortment of human behaviors is thought to be driven by rewards including reinforcement learning, novelty processing, learning, decision making, economic choice, incentive motivation, and addiction. In each case the ventral tegmental area/ventral striatum (nucleus accumbens) (VTA–VS) system has been implicated as a key structure by functional imaging studies, mostly on the basis of standard, univariate analyses. Here we propose that standard functional magnetic resonance imaging analysis needs to be complemented by methods that take into account the differential connectivity of the VTA–VS system in the different behavioral contexts in order to describe reward based processes more appropriately. We first consider the wider network for reward processing as it emerged from animal experimentation. Subsequently, an example for a method to assess functional connectivity is given. Finally, we illustrate the usefulness of such analyses by examples regarding reward valuation, reward expectation and the role of reward in addiction.
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影响因子：
7.2
作者：
Aizenstein, Howard J.;Butters, Meryl A.;Wu, Minjie;Mazurkewicz, Laura M.;Stenger, V. Andrew;Gianaros, Peter J.;Becker, James T.;Reynolds, Cbarles F., III;Carter, Cameron S.
通讯作者：
Carter, Cameron S.
影响因子：
3.3
作者：
del Arco, A;Mora, F
通讯作者：
Mora, F
影响因子：
16.2
作者：
Breiter, HC;Aharon, I;Shizgal, P
通讯作者：
Shizgal, P
影响因子：
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作者：
Beyer, CE;Steketee, JD
通讯作者：
Steketee, JD
影响因子：
2.9
作者：
Camara E;Rodriguez-Fornells A;Münte TF
通讯作者：
Münte TF