The brain tracks the energetic value in food images

The brain tracks the energetic value in food images
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DOI:
10.1016/j.neuroimage.2008.10.005
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发表时间:
2009-02-01
期刊:
影响因子:
5.7
通讯作者:
Murray, Micah M.
Murray, Micah M.
中科院分区:
医学1区
文献类型:
--
作者:
Toepel, Ulrike;Knebel, Jean-Francois;Murray, Micah M.

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我们的大脑是否会暗中跟踪我们所看到的食物的能量含量?使用视觉诱发电位(VEPs)的电神经成像,我们表明,人类大脑可以快速辨别食物的能量价值,维斯维斯其脂肪含量,仅从其视觉呈现。在两个不同的时间段内,对高能量和低能量食物图像的反应不同。第一个时期,开始于类似于165毫秒刺激后发病,其次是调制VEP地形和扩展的配置的底层大脑网络。对源估计的统计比较发现了分布在广泛网络中的差异,包括通常与对象处理相关的后枕区和颞顶叶皮质,以及通常与决策相关的下额叶皮质。在一个连续的处理阶段(开始在类似于300毫秒),反应不同的地形和强度方面,与源估计不同,主要是在涉及奖励评估和决策的前额叶皮层区域。这些效应与实际执行的任务正交发生,并表明奖励属性(如食物的能量含量)被参与对象分类、奖励评估和决策的分布式大脑区域网络快速并行处理。(C)2008年爱思唯尔公司All rights reserved.
Do our brains implicitly track the energetic content of the foods we see? Using electrical neuroimaging of visual evoked potentials (VEPs) we show that the human brain can rapidly discern food's energetic value, vis a vis its fat content, solely from its visual presentation. Responses to images of high-energy and low-energy food differed over two distinct time periods. The first period, starting at similar to 165 ms post-stimulus onset, followed from modulations in VEP topography and by extension in the configuration of the underlying brain network. Statistical comparison of source estimations identified differences distributed across a wide network including both posterior occipital regions and temporo-parietal cortices typically associated with object processing, and also inferior frontal cortices typically associated with decision-making. During a successive processing stage (starting at similar to 300 ms), responses differed both topographically and in terms of strength, with source estimations differing predominantly within prefrontal cortical regions implicated in reward assessment and decision-making. These effects occur orthogonally to the task that is actually being performed and suggest that reward properties such as a food's energetic content are treated rapidly and in parallel by a distributed network of brain regions involved in object categorization, reward assessment, and decision-making. (C) 2008 Elsevier Inc. All rights reserved.