Wang Kainan S, Smith David V, Delgado Mauricio R
Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey; and.
Department of Psychology, Rutgers University, Newark, New Jersey.
J Neurophysiol. 2016 Mar;115(3):1664-78. doi: 10.1152/jn.00333.2015. Epub 2016 Jan 6.
Functional magnetic resonance imaging (fMRI) is a noninvasive tool used to probe cognitive and affective processes. Although fMRI provides indirect measures of neural activity, the advent of fMRI has allowed for1) the corroboration of significant animal findings in the human brain, and2) the expansion of models to include more common human attributes that inform behavior. In this review, we briefly consider the neural basis of the blood oxygenation level dependent signal to set up a discussion of how fMRI studies have applied it in examining cognitive models in humans and the promise of using fMRI to advance such models. Specifically, we illustrate the contribution that fMRI has made to the study of reward processing, focusing on the role of the striatum in encoding reward-related learning signals that drive anticipatory and consummatory behaviors. For instance, we discuss how fMRI can be used to link neural signals (e.g., striatal responses to rewards) to individual differences in behavior and traits. While this functional segregation approach has been constructive to our understanding of reward-related functions, many fMRI studies have also benefitted from a functional integration approach that takes into account how interconnected regions (e.g., corticostriatal circuits) contribute to reward processing. We contend that future work using fMRI will profit from using a multimodal approach, such as combining fMRI with noninvasive brain stimulation tools (e.g., transcranial electrical stimulation), that can identify causal mechanisms underlying reward processing. Consequently, advancements in implementing fMRI will promise new translational opportunities to inform our understanding of psychopathologies.
功能磁共振成像(fMRI)是一种用于探究认知和情感过程的非侵入性工具。尽管fMRI提供的是神经活动的间接测量指标,但fMRI的出现使得:1)在人类大脑中证实了重要的动物研究发现;2)扩展了模型,以纳入更多影响行为的常见人类属性。在本综述中,我们简要考虑血氧水平依赖信号的神经基础,以便讨论fMRI研究如何将其应用于检验人类认知模型以及使用fMRI推进此类模型的前景。具体而言,我们阐述了fMRI在奖励处理研究中所做的贡献,重点关注纹状体在编码驱动预期和 consummatory行为的奖励相关学习信号中的作用。例如,我们讨论了fMRI如何用于将神经信号(如纹状体对奖励的反应)与行为和特质的个体差异联系起来。虽然这种功能分离方法有助于我们理解奖励相关功能,但许多fMRI研究也受益于一种功能整合方法,该方法考虑了相互连接的区域(如皮质纹状体回路)如何对奖励处理做出贡献。我们认为,未来使用fMRI的研究将受益于使用多模态方法,如将fMRI与非侵入性脑刺激工具(如经颅电刺激)相结合,这可以识别奖励处理背后的因果机制。因此,fMRI实施方面的进展将带来新的转化机会,以增进我们对精神病理学的理解。