Laboratory for Complex Brain Networks, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, USA.
Department of Radiology, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, USA.
Obesity (Silver Spring). 2022 Apr;30(4):902-910. doi: 10.1002/oby.23396.
The goal of this study was to determine whether the degree of weight loss after 6 months of a behavior-based intervention is related to baseline connectivity within two functional networks (FNs) of interest, FN1 and FN2, in a group of older adults with obesity.
Baseline functional magnetic resonance imaging data were collected following an overnight fast in 71 older adults with obesity involved in a weight-loss intervention. Functional brain networks in a resting state and during a food-cue task were analyzed using a mixed-regression framework to examine the relationships between baseline networks and 6-month change in weight.
During the resting condition, the relationship of baseline brain functional connectivity and network clustering in FN1, which includes the visual cortex and sensorimotor areas, was significantly associated with 6-month weight loss. During the food-cue condition, 6-month weight loss was significantly associated with the relationship between baseline brain connectivity and network global efficiency in FN2, which includes executive control, attention, and limbic regions.
These findings provide further insight into complex functional circuits in the brain related to successful weight loss and may ultimately aid in developing tailored behavior-based treatment regimens that target specific brain circuitry.
本研究旨在确定肥胖老年人在接受基于行为的干预 6 个月后体重减轻的程度是否与两个感兴趣的功能网络(FN1 和 FN2)的基线连接有关。
对参与减肥干预的 71 名肥胖老年人进行了一次过夜禁食后的基线功能磁共振成像数据采集。使用混合回归框架分析静息状态和食物线索任务期间的功能大脑网络,以检查基线网络与 6 个月体重变化之间的关系。
在静息状态下,FN1(包括视觉皮层和感觉运动区域)的基线大脑功能连接和网络聚类与 6 个月体重减轻呈显著相关。在食物线索条件下,6 个月体重减轻与 FN2(包括执行控制、注意力和边缘区域)中基线大脑连接和网络全局效率之间的关系显著相关。
这些发现为与成功减肥相关的大脑复杂功能回路提供了进一步的见解,并可能最终有助于开发针对特定大脑回路的基于行为的个体化治疗方案。