Poghosyan Vahe, Ioannou Stephanos, Al-Amri Khalid M, Al-Mashhadi Sufana A, Al-Mohammed Fedaa, Al-Otaibi Tahani, Al-Saeed Wjoud
Department of Neurophysiology, National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia.
Department of Physiological Sciences, Alfaisal University, Riyadh, Saudi Arabia.
Front Neurosci. 2023 Feb 8;17:948063. doi: 10.3389/fnins.2023.948063. eCollection 2023.
Obesity presents a significant public health problem. Brain plays a central role in etiology and maintenance of obesity. Prior neuroimaging studies have found that individuals with obesity exhibit altered neural responses to images of food within the brain reward system and related brain networks. However, little is known about the dynamics of these neural responses or their relationship to later weight change. In particular, it is unknown if in obesity, the altered reward response to food images emerges early and automatically, or later, in the controlled stage of processing. It also remains unclear if the pretreatment reward system reactivity to food images is predictive of subsequent weight loss intervention outcome.
In this study, we presented high-calorie and low-calorie food, and nonfood images to individuals with obesity, who were then prescribed lifestyle changes, and matched normal-weight controls, and examined neural reactivity using magnetoencephalography (MEG). We performed whole-brain analysis to explore and characterize large-scale dynamics of brain systems affected in obesity, and tested two specific hypotheses: (1) in obese individuals, the altered reward system reactivity to food images occurs early and automatically, and (2) pretreatment reward system reactivity predicts the outcome of lifestyle weight loss intervention, with reduced activity associated with successful weight loss.
We identified a distributed set of brain regions and their precise temporal dynamics that showed altered response patterns in obesity. Specifically, we found reduced neural reactivity to food images in brain networks of reward and cognitive control, and elevated reactivity in regions of attentional control and visual processing. The hypoactivity in reward system emerged early, in the automatic stage of processing (< 150 ms post-stimulus). Reduced reward and attention responsivity, and elevated neural cognitive control were predictive of weight loss after six months in treatment.
In summary, we have identified, for the first time with high temporal resolution, the large-scale dynamics of brain reactivity to food images in obese versus normal-weight individuals, and have confirmed both our hypotheses. These findings have important implications for our understanding of neurocognition and eating behavior in obesity, and can facilitate development of novel integrated treatment strategies, including tailored cognitive-behavioral and pharmacological therapies.
肥胖是一个重大的公共卫生问题。大脑在肥胖的病因和维持过程中起着核心作用。先前的神经影像学研究发现,肥胖个体在大脑奖赏系统及相关脑网络中对食物图像的神经反应发生了改变。然而,对于这些神经反应的动态变化及其与后期体重变化的关系知之甚少。特别是,在肥胖状态下,对食物图像改变的奖赏反应是在早期自动出现,还是在后期的加工控制阶段出现,尚不清楚。预处理时奖赏系统对食物图像的反应性是否能预测随后的体重减轻干预结果也仍不明确。
在本研究中,我们向肥胖个体(随后被规定进行生活方式改变)和体重正常的匹配对照组展示高热量和低热量食物以及非食物图像,并使用脑磁图(MEG)检查神经反应性。我们进行了全脑分析,以探索和表征肥胖个体中受影响的脑系统的大规模动态变化,并检验了两个具体假设:(1)在肥胖个体中,奖赏系统对食物图像的反应性改变在早期自动出现;(2)预处理时奖赏系统的反应性可预测生活方式减重干预的结果,活动减少与成功减重相关。
我们确定了一组分布的脑区及其精确的时间动态变化,这些在肥胖个体中显示出改变的反应模式。具体而言,我们发现奖赏和认知控制脑网络中对食物图像的神经反应性降低,而注意力控制和视觉加工区域的反应性升高。奖赏系统的低活性在加工的自动阶段(刺激后<150毫秒)早期出现。奖赏和注意力反应性降低以及神经认知控制升高可预测治疗六个月后的体重减轻。
总之,我们首次以高时间分辨率确定了肥胖个体与体重正常个体对食物图像的大脑反应性的大规模动态变化,并证实了我们两个假设。这些发现对于我们理解肥胖中的神经认知和饮食行为具有重要意义,并有助于开发新的综合治疗策略,包括量身定制的认知行为和药物治疗。