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利用功能性神经成像技术深入了解食物奖赏机制。

Gaining new insights into food reward with functional neuroimaging.

作者信息

Neary Marianne T, Batterham Rachel L

出版信息

Forum Nutr. 2010;63:152-163. doi: 10.1159/000264403. Epub 2009 Nov 27.

DOI:10.1159/000264403
PMID:19955783
Abstract

The notion that eating is intimately related to feelings of pleasure is not new. Indeed, in an environment characterised by many varied and palatable foods, hedonistic drives are likely to play a greater role in modulating food intake than homeostatic ones. Until recently however, a neurobiological account of the rewarding properties of food was lacking. The ability to reveal functional brain activity has been made possible with the advent of functional neuroimaging techniques such as electroencephalography (EEG), magnetoencephalography (MEG), positron emission tomography (PET) and most recently, functional magnetic resonance imaging (fMRI). Neuroimaging studies in fed and fasted, lean and obese, normal and pathological states have revealed variations in food-related reward processing. Eating is a multi-sensory experience and understanding the precise mechanisms by which food modulates reward circuits will be important in understanding the aetiology of obesity and eating disorders. Here we review the development of functional neuroimaging as a research tool and recent neuroimaging studies relating to food reward. In particular, we evaluate the ability of leptin and the gut hormones peptide YY3-36 and ghrelin to modulate activity in reward-related brain regions. Finally, we discuss the potential to use such information to guide development of pharmaceuticals, functional foods and life-style modifications.

摘要

饮食与愉悦感密切相关这一观念并非新鲜事物。的确,在一个有着多种多样美味食物的环境中,享乐主义驱动力在调节食物摄入量方面可能比稳态驱动力发挥更大作用。然而,直到最近,仍缺乏对食物奖赏特性的神经生物学解释。随着脑电图(EEG)、脑磁图(MEG)、正电子发射断层扫描(PET)以及最近的功能磁共振成像(fMRI)等功能神经成像技术的出现,揭示大脑功能活动成为可能。对进食和禁食、瘦与肥胖、正常与病理状态下的神经成像研究揭示了与食物相关的奖赏处理过程中的差异。饮食是一种多感官体验,理解食物调节奖赏回路的确切机制对于理解肥胖症和饮食失调的病因至关重要。在此,我们回顾功能神经成像作为一种研究工具的发展历程以及最近与食物奖赏相关的神经成像研究。特别是,我们评估瘦素、肠道激素肽YY3-36和胃饥饿素调节奖赏相关脑区活动的能力。最后,我们讨论利用此类信息指导药物、功能食品开发以及生活方式改变的潜力。

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