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首页> 外文期刊>Frontiers in Psychology >Meal replacement: calming the hot-state brain network of appetite
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Meal replacement: calming the hot-state brain network of appetite

机译:代餐:镇定大脑热状态的食欲

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There is a growing awareness in the field of neuroscience that the self-regulation of eating behavior is driven by complex networks within the brain. These networks may be vulnerable to “hot states” which people can move into and out of dynamically throughout the course of a day as a function of changes in affect or visceral cues. The goal of the current study was to identify and determine differences in the Hot-state Brain Network of Appetite (HBN-A) that exists after a brief period of food restraint followed either by the consumption of a meal replacement (MR) or water. Fourteen overweight/obese adults came to our laboratory on two different occasions. Both times they consumed a controlled breakfast meal and then were restricted from eating for 2.5 h prior to an MRI scan. On one visit, they consumed a meal replacement (MR) liquid meal after this period of food restriction; on the other visit they consumed an equal amount of water. After these manipulations, the participants underwent a resting fMRI scan. Our first study aim employed an exploratory, data-driven approach to identify hubs relevant to the HBN-A. Using data from the water condition, five regions were found to be the hubs or nodes of the HBN-A: insula, anterior cingulated cortex, the superior temporal pole, the amygdala, and the hippocampus. We then demonstrated that the consumption of a liquid MR dampened interconnectivity between the nodes of the HBN-A as compared to water. Importantly and consistent with these network data, the consumption of a MR beverage also lowered state cravings and hunger.
机译:在神经科学领域,人们越来越意识到饮食行为的自我调节是由大脑内部复杂的网络驱动的。这些网络可能容易受到“热态”的影响,人们可以根据情感或内在暗示的变化,在一天内全天动态地进出。当前研究的目的是确定并确定在短暂的食物限制后,或者通过食用替代餐(MR)或水后,热食欲的大脑网络(HBN-A)存在的差异。在两次不同的情况下,有14名超重/肥胖成年人来到了我们的实验室。他们两次都吃了受控的早餐,然后在MRI扫描前被限制进食2.5小时。一次禁食后,他们在此禁食期后食用了代餐(MR)液体餐。在另一次拜访中,他们消耗了等量的水。经过这些操作后,参与者进行了静息fMRI扫描。我们的第一个研究目标是采用探索性的,数据驱动的方法来识别与HBN-A相关的枢纽。使用来自水况的数据,发现五个区域是HBN-A的枢纽或节点:绝缘岛,前扣带回皮质,颞上极,杏仁核和海马体。然后,我们证明了与水相比,液态MR的消耗降低了HBN-A节点之间的互连性。重要的是,与这些网络数据相一致,MR饮料的消费也降低了国家对食物的渴望和饥饿感。

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