School of Economics and Management, Fuzhou University, China; School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, China.
Department of Medical Psychology, School of Health Humanities, Peking University, China.
Neurosci Biobehav Rev. 2022 Jul;138:104721. doi: 10.1016/j.neubiorev.2022.104721. Epub 2022 Jun 3.
In the context of current-day online shopping, people select foods based on pictures and using their visual systems. Although there are some reviews of previous neuroimaging studies on appetitive behaviors, the findings on neural activation in response to pictures of high- and low-calorie foods seem inconsistent. This study aims to systematically review, integrate, and meta-analyze neuroimaging evidence of viewing high- and low-calorie foods. There were 25 samples from 24 studies, totalizing 489 normal-weight participants (311 female, 160 male, and 18 of unknown sex). We conducted a systematic review and Activation Likelihood Estimation (ALE) meta-analysis on viewing high-calorie foods (versus non-foods), low-calorie foods (versus non-foods), and high- versus low-calorie foods. In systematic review, several brain regions were shown to be activated when viewing high- or low-calorie foods (versus non-foods) and viewing high- versus low-calorie foods, including the prefrontal cortex, orbitofrontal cortex, amygdala, insula, ventral striatum, hippocampus, superior parietal lobe, and fusiform gyrus. However, the ALE meta-analysis showed that the left orbitofrontal cortex, left amygdala, insula, superior parietal lobe, and fusiform gyrus were activated when viewing high-calorie foods (versus non-foods); the left fusiform gyrus was activated when viewing low-calorie foods (versus non-foods); and no cluster was activated when viewing high- versus low-calorie foods. Our research suggests an appetitive brain network that includes visual perception and attentional processing, sensory input integration, subjective reward value encoding, decision-making, and top-down cognitive control. Future studies should control for the effects of methodological and physiological variables when examining the neural correlates of viewing high- and low-calorie foods.
在当今的在线购物环境中,人们根据图片和视觉系统选择食物。尽管已有一些关于先前关于食欲行为的神经影像学研究的评论,但关于高热量和低热量食物图片的神经激活的研究结果似乎不一致。本研究旨在系统地回顾、整合和荟萃分析观察高热量和低热量食物的神经影像学证据。共有 24 项研究的 25 个样本,共有 489 名正常体重参与者(311 名女性,160 名男性,18 名性别未知)。我们对观看高热量食物(与非食物相比)、低热量食物(与非食物相比)以及高与低热量食物进行了系统评价和激活似然估计(ALE)荟萃分析。在系统评价中,当观看高热量或低热量食物(与非食物相比)以及观看高与低热量食物时,几个大脑区域被证明被激活,包括前额叶皮层、眶额皮层、杏仁核、岛叶、腹侧纹状体、海马体、顶叶上回和梭状回。然而,ALE 荟萃分析显示,观看高热量食物(与非食物相比)时,左眶额皮层、左杏仁核、岛叶、顶叶上回和梭状回被激活;观看低热量食物(与非食物相比)时,左梭状回被激活;而观看高与低热量食物时没有激活簇。我们的研究表明,存在一个食欲的大脑网络,包括视觉感知和注意力处理、感觉输入整合、主观奖励价值编码、决策和自上而下的认知控制。未来的研究在检查观看高热量和低热量食物的神经相关性时,应控制方法学和生理变量的影响。
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