Department of Brain and Cognitive Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel; Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Department of Epidemiology, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Neuroimage. 2021 Jan 1;224:117403. doi: 10.1016/j.neuroimage.2020.117403. Epub 2020 Sep 23.
Lifestyle dietary interventions are an essential practice in treating obesity, hence neural factors that may assist in predicting individual treatment success are of great significance. Here, in a prospective, open-label, three arms study, we examined the correlation between brain resting-state functional connectivity measured at baseline and weight loss following 6 months of lifestyle intervention in 92 overweight participants. We report a robust subnetwork composed mainly of sensory and motor cortical regions, whose edges correlated with future weight loss. This effect was found regardless of intervention group. Importantly, this main finding was further corroborated using a stringent connectivity-based prediction model assessed with cross-validation thus attesting to its robustness. The engagement of senso-motor regions in this subnetwork is consistent with the over-sensitivity to food cues theory of weight regulation. Finally, we tested an additional hypothesis regarding the role of brain-gastric interaction in this subnetwork, considering recent findings of a cortical network synchronized with gastric activity. Accordingly, we found a significant spatial overlap with the subnetwork reported in the present study. Moreover, power in the gastric basal electric frequency within our reported subnetwork negatively correlated with future weight loss. This finding was specific to the weight loss related subnetwork and to the gastric basal frequency. These findings should be further corroborated by combining direct recordings of gastric activity in future studies. Taken together, these intriguing results may have important implications for our understanding of the etiology of obesity and the mechanism of response to dietary intervention.
生活方式的饮食干预是治疗肥胖的重要方法,因此,有助于预测个体治疗成功的神经因素具有重要意义。在这里,我们在一项前瞻性、开放标签、三臂研究中,检查了 92 名超重参与者在基线时测量的大脑静息状态功能连接与 6 个月生活方式干预后体重减轻之间的相关性。我们报告了一个由主要由感觉和运动皮质区域组成的稳健子网,其边缘与未来的体重减轻相关。这种效应在干预组中均存在。重要的是,使用交叉验证评估的严格基于连接的预测模型进一步证实了这一主要发现,从而证明了其稳健性。该子网中感觉运动区域的参与与体重调节的食物线索超敏反应理论一致。最后,我们根据最近发现的与胃活动同步的皮质网络,测试了该子网中大脑-胃相互作用的额外假设。因此,我们发现与本研究报告的子网有显著的空间重叠。此外,我们报告的子网中的胃基础电频率的功率与未来的体重减轻呈负相关。这一发现是特定于与体重减轻相关的子网和胃基础频率的。这些发现应通过在未来研究中结合胃活动的直接记录进一步证实。总之,这些有趣的结果可能对我们理解肥胖的病因和对饮食干预的反应机制具有重要意义。