Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands.
Curr Opin Clin Nutr Metab Care. 2018 Nov;21(6):444-448. doi: 10.1097/MCO.0000000000000504.
The dominant view in the literature is that increased neural reactivity to high-caloric palatable foods in the mesocorticolimbic system is a stable-specific characteristic of obese people. In this review, we argue that this viewpoint may not be justified, and we propose that the neural response to food stimuli is dynamic, and in synchrony with the current motivational and cognitive state of an individual. We will further motivate why a clear mental task in the scanner is a necessity for drawing conclusions from neural activity, and why multivariate approaches to functional MRI (fMRI) data-analysis may carry the field forward.
From the reviewed literature we draw the conclusions that: neural food-cue reactivity depends strongly on cognitive factors such as the use of cognitive regulation strategies, task demands, and focus of attention; neural activity in the mesocorticolimbic system is not proportionate to the hedonic value of presented food stimuli; and multivariate approaches to fMRI data-analysis have shown that hedonic value can be decoded from multivoxel patterns of neural activity.
Future research should take the dynamic nature of food-reward processing into account and take advantage from state-of-the-art multivariate approaches to fMRI data-analysis.
综述目的:文献中的主流观点认为,中脑边缘奖赏系统对高热量美味食物的神经反应增强是肥胖人群的一种稳定特征。在本文中,我们认为这种观点可能没有充分依据,并提出食物刺激的神经反应是动态的,与个体当前的动机和认知状态同步。我们将进一步说明为什么在扫描仪中进行明确的心理任务对于从神经活动中得出结论是必要的,以及为什么功能磁共振成像(fMRI)数据分析的多元方法可能会推动该领域的发展。
最近的发现:从综述文献中我们得出以下结论:食物线索的神经反应强烈依赖于认知因素,如认知调节策略的使用、任务需求和注意力焦点;中脑边缘奖赏系统的神经活动与呈现的食物刺激的享乐价值不成比例;fMRI 数据分析的多元方法表明,享乐价值可以从神经活动的多体素模式中解码。
总结:未来的研究应该考虑到食物奖赏处理的动态性质,并利用 fMRI 数据分析的最新多元方法。