结构连接组与体重指数相关的多重变化及其与饮食心理病理学相关的关联
Yurim Jang1, Jong Young Namgung2, Eunchan Noh3
1Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea; BK21 Four Institute of Precision Public Health, Seoul, Republic of Korea.
NeuroImage. Clinical
|June 9, 2025
概括
高体重指数 (BMI) 与大脑连接体组织的改变有关,显示了网络分离的增加和更低效的沟通. 这些大脑变化与饮食行为相关,突出显示了大脑的功能.
科学领域:
- 神经科学是一个神经科学.
- 放射学 放射学是一门学科.
- 人体生理学 人体生理学
背景情况:
- 在高体重指数 (BMI) 个体中观察到大脑连接组的改变.
- 关于基于BMI的结构连接体改变的证据有限.
- 了解BMI对大脑结构的影响对于代谢和神经健康至关重要.
研究的目的:
- 在神经健康的成年人中调查与BMI相关的结构连接体变化.
- 探索大脑网络拓,BMI和饮食行为之间的关系.
主要方法:
- 在283名参与者中分析了扩散磁共振成像 (dMRI) 曲谱学衍生的结构连接性.
- 使用缩小维度来产生低维特征 (多重偏心和差异化).
- 使用搜索信息和路径过渡度指标评估网络通信.
- 使用饮食障碍检查问卷 (EDEQ) 和三因素饮食问卷 (TFEQ) 与饮食行为相关联的大脑多元特征.
主要成果:
- 具有高BMI的个体在控制,默认模式和体运动网络中表现出更大的网络隔离.
- 视觉和边缘网络在高BMI个体中表现出更多的整合.
- 在高BMI的参与者中,感官和跨模网络之间的网络通信效率较低.
- 前额和体运动区域的多重特征与饮食行为有显著的关联.
结论:
- 结构连接体组织在调节身体质量指数 (BMI) 中起着至关重要的作用.
- 体重指数 (BMI) 影响大脑网络的分离和整合,影响大脑的整体通信效率.
- 大脑结构的改变与特定的饮食行为有关,这表明食欲调节的神经生物学基础.
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