异常动态网络连接变化共患抑郁症和超重/肥胖症:来自三重网络模型的见解
Zhu-Qing Zhang1, Dan Liao2, Zhi-Peng Guo3
1Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Journal of neuroscience research
|November 29, 2024
概括
重度抑郁症 (MDD) 与超重/肥胖症显示大脑网络动态发生变化,特别是灵活性降低和增强默认模式网络 (DMN) 和执行控制网络 (ECN) 连接,影响抑郁症状的严重程度.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 医疗成像医学成像
背景情况:
- 重度抑郁症 (MDD) 和超重/肥胖经常同时发生,带来复杂的生物心理挑战.
- 这种并发性疾病背后的神经机制,特别是功能网络连接 (FNC),尚不清楚.
研究的目的:
- 通过静止状态功能磁共振成像 (rs-fMRI) 来研究共患MDD和超重/肥胖症的神经机制.
- 在MDD和超重/肥胖症患者中区分静态和动态功能网络连接 (FNC).
主要方法:
- 分析了来自57个超重/肥胖的MDD (MDD-OW),57个MDD正常体重 (MDD-NW) 和44个健康对照的rs-fMRI数据.
- 利用独立组件分析,滑动窗口分析,K-means聚类和图形理论来评估静态和动态的FNC.
- 检查了经过识别的大脑状态的功能协调和节点特征.
主要成果:
- 静态FNC没有显示群体之间的显著差异.
- 动态FNC分析显示了四个一致的状态,MDD组表现出减少的灵活性和突出网络变化.
- 在MDD-OW组中,默认模式网络 (DMN) 和执行控制网络 (ECN) 之间的动态FNC增加,与抑郁症状严重程度相反相关.
结论:
- 动态FNC,而不是静态FNC,对于理解超重/肥胖的MDD至关重要.
- 改变的DMN-ECN动态连接性可以作为伴随性疾病中抑郁状态的生物标志物.
- 研究结果提供了MDD-OW中大脑网络动态的见解,并为治疗策略提供了信息.
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