Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany.
Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China.
Neuroimage. 2024 Apr 15;290:120574. doi: 10.1016/j.neuroimage.2024.120574. Epub 2024 Mar 10.
Obesity has a profound impact on metabolic health thereby adversely affecting brain structure and function. However, the majority of previous studies used a single structural index to investigate the link between brain structure and body mass index (BMI), which hinders our understanding of structural covariance between regions in obesity. This study aimed to examine the relationship between macroscale cortical organization and BMI using novel morphometric similarity networks (MSNs). The individual MSNs were first constructed from individual eight multimodal cortical morphometric features between brain regions. Then the relationship between BMI and MSNs within the discovery sample of 434 participants was assessed. The key findings were further validated in an independent sample of 192 participants. We observed that the lateral non-reward orbitofrontal cortex (lOFC) exhibited decoupling (i.e., reduction in integration) in obesity, which was mainly manifested by its decoupling with the cognitive systems (i.e., DMN and FPN) while the medial reward orbitofrontal cortex (mOFC) showed de-differentiation (i.e., decrease in distinctiveness) in obesity, which was mainly represented by its de-differentiation with the cognitive and attention systems (i.e., DMN and VAN). Additionally, the lOFC showed de-differentiation with the visual system in obesity, while the mOFC showed decoupling with the visual system and hyper-coupling with the sensory-motor system in obesity. As an important first step in revealing the role of underlying structural covariance in body mass variability, the present study presents a novel mechanism that underlies the reward-control interaction imbalance in obesity, thus can inform future weight-management approaches.
肥胖对代谢健康有深远影响，从而对大脑结构和功能产生不利影响。然而，大多数先前的研究使用单一的结构指标来研究大脑结构与体重指数（BMI）之间的联系，这阻碍了我们对肥胖中区域间结构协变的理解。本研究旨在使用新的形态相似网络（MSNs）来研究宏观皮质组织与 BMI 之间的关系。首先从个体与大脑区域之间的八个多模态皮质形态特征个体构建个体 MSN。然后评估 434 名参与者的发现样本中 BMI 与 MSN 之间的关系。关键发现进一步在 192 名参与者的独立样本中得到验证。我们观察到外侧非奖励眶额皮层（lOFC）在肥胖中表现出解耦（即整合减少），主要表现为与认知系统（即 DMN 和 FPN）的解耦，而内侧奖励眶额皮层（mOFC）在肥胖中表现出去分化（即特征性降低），主要表现为与认知和注意力系统（即 DMN 和 VAN）的去分化。此外，lOFC 在肥胖中表现出与视觉系统的去分化，而 mOFC 在肥胖中表现出与视觉系统的解耦和与感觉运动系统的超耦。作为揭示体重变异性中潜在结构协变作用的重要第一步，本研究提出了一种新的机制，该机制为肥胖中奖励-控制相互作用失衡提供了依据，从而为未来的体重管理方法提供了信息。
