肥胖症中的动态功能网络连接性改变
Zhaoyi Chen1,2, Jinkun Wang1,2,3, Zhijuan Li1,2
1Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Diabetes, obesity & metabolism
|January 14, 2026
概括
肥胖个体表现出大脑网络动态的改变,表现出减少的灵活性和与饮食行为相关的连接模式的改变. 动态功能网络连接 (dFNC) 分析揭示了这些变化.
科学领域:
- 神经科学是一个神经科学.
- 代谢障碍 代谢障碍 代谢障碍
- 脑部成像 脑部成像
背景情况:
- 肥胖与代谢和神经功能障碍有关.
- 肥胖症中大脑连接的时间动态尚不清楚.
研究的目的:
- 通过使用动态功能网络连接 (dFNC) 调查肥胖症中时间变化的大脑网络模式.
- 探索改变的大脑连接和饮食行为之间的关系.
主要方法:
- 休息状态功能磁共振成像 (fMRI) 对肥胖和正常体重控制的个体进行.
- 使用移动窗口方法的动态功能网络连接 (dFNC) 分析被用来识别不同的连接状态.
- 网络灵活性的时间指标在各组之间进行了比较,并与临床特征相关联.
主要成果:
- 确定了三个不同的连接状态.
- 肥胖个体在默认模式,注意力和视觉网络中显示出增加的合,以及减少网络灵活性 (更长的停留时间,更少的过渡).
- 失控的饮食与不适应状态的时间相关,而认知克制与整合状态相关.
结论:
- 肥胖症的特征是大脑网络重组,时间灵活性下降.
- 肥胖的动态连接性改变与饮食行为和代谢因素有关.
- dFNC提供了一个神经成像框架,以了解肥胖症中自我调节受损和开发干预措施.
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