Schmidt Liane, Medawar Evelyn, Aron-Wisnewsky Judith, Genser Laurent, Poitou Christine, Clément Karine, Plassmann Hilke
Control-Interoception-Attention Team, Institut du Cerveau et de la Moelle épinière (ICM), Inserm UMR 1127, CNRS UMR 7225, Sorbonne Université, 75013 Paris, France.
Laboratoire de Neuroscience Cognitive, Ecole Normale Supérieure, Inserm U960, 75005 Paris, France.
Brain Commun. 2021 Feb 2;3(1):fcab005. doi: 10.1093/braincomms/fcab005. eCollection 2021.
Weight gain is often associated with the pleasure of eating food rich in calories. This idea is based on the findings that people with obesity showed increased neural activity in the reward and motivation systems of the brain in response to food cues. Such correlations, however, overlook the possibility that obesity may be associated with a metabolic state that impacts the functioning of reward and motivation systems, which in turn could be linked to reactivity to food and eating behaviour and weight gain. In a study involving 44 female participants [14 patients with obesity, aged 20-63 years (mean: 42, SEM: 3.2 years), and 30 matched lean controls, aged 22-60 years (mean: 37, SEM: 1.8 years)], we investigated how ventromedial prefrontal cortex seed-to-voxel resting-state connectivity distinguished between lean and obese participants at baseline. We used the results of this first step of our analyses to examine whether changes in ventromedial prefrontal cortex resting-state connectivity over 8 months could formally predict weight gain or loss. It is important to note that participants with obesity underwent bariatric surgery at the beginning of our investigation period. We found that ventromedial prefrontal cortex-ventral striatum resting-state connectivity and ventromedial-dorsolateral prefrontal cortex resting-state connectivity were sensitive to obesity at baseline. However, only the ventromedial prefrontal cortex-ventral striatum resting-state connectivity predicted weight changes over time using cross-validation, out-of-sample prediction analysis. Such an out-of-sample prediction analysis uses the data of all participants of a training set to predict the actually observed data in one independent participant in the hold-out validation sample and is then repeated for all participants. In seeking to explain the reason why ventromedial pre-frontal cortex-ventral striatum resting-state connectivity as the central hub of the brain's reward and motivational system may predict weight change over time, we linked weight loss surgery-induced changes in ventromedial prefrontal cortex-ventral striatum resting-state connectivity to surgery-induced changes in homeostatic hormone regulation. More specifically, we focussed on changes in fasting state systemic leptin, a homeostatic hormone signalling satiety, and inhibiting reward-related dopamine signalling. We found that the surgery-induced increase in ventromedial prefrontal cortex-ventral striatum resting-state connectivity was correlated with a decrease in fasting-state systemic leptin. These findings establish the first link between individual differences in brain connectivity in reward circuits in a more tonic state at rest, weight change over time and homeostatic hormone regulation.
体重增加通常与食用高热量食物所带来的愉悦感相关。这一观点基于以下研究发现:肥胖者在面对食物线索时,大脑的奖赏和动机系统会表现出神经活动增强。然而,这种相关性忽略了肥胖可能与一种代谢状态有关的可能性,这种代谢状态会影响奖赏和动机系统的功能,进而可能与对食物的反应性、饮食行为以及体重增加有关。在一项涉及44名女性参与者的研究中[14名肥胖患者,年龄在20 - 63岁之间(平均:42岁,标准误:3.2岁),以及30名匹配的瘦对照组,年龄在22 - 60岁之间(平均:37岁,标准误:1.8岁)],我们研究了腹内侧前额叶皮质种子点到体素的静息态连接性在基线时如何区分瘦参与者和肥胖参与者。我们利用分析的第一步结果来检验腹内侧前额叶皮质静息态连接性在8个月内的变化是否能够正式预测体重增加或减少。需要注意的是,肥胖参与者在我们的调查期开始时接受了减肥手术。我们发现,腹内侧前额叶皮质 - 腹侧纹状体静息态连接性以及腹内侧 - 背外侧前额叶皮质静息态连接性在基线时对肥胖敏感。然而,使用交叉验证和样本外预测分析,只有腹内侧前额叶皮质 - 腹侧纹状体静息态连接性能够预测随时间的体重变化。这种样本外预测分析使用训练集中所有参与者的数据来预测留一法验证样本中一名独立参与者实际观察到的数据,然后对所有参与者重复进行。在试图解释为什么作为大脑奖赏和动机系统中心枢纽的腹内侧前额叶皮质 - 腹侧纹状体静息态连接性可能预测随时间的体重变化时,我们将减肥手术引起的腹内侧前额叶皮质 - 腹侧纹状体静息态连接性变化与手术引起的稳态激素调节变化联系起来。更具体地说,我们关注禁食状态下全身瘦素的变化,瘦素是一种传递饱腹感并抑制奖赏相关多巴胺信号的稳态激素。我们发现,手术引起的腹内侧前额叶皮质 - 腹侧纹状体静息态连接性增加与禁食状态下全身瘦素的减少相关。这些发现建立了静息时处于更持续性状态的奖赏回路中大脑连接性的个体差异、随时间的体重变化以及稳态激素调节之间的首个联系。