高幅度网络的共同波动与月经周期内激素度的变化有关
Sarah Greenwell1, Joshua Faskowitz1,2, Laura Pritschet3
1Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
Network neuroscience (Cambridge, Mass.)
|October 2, 2023
概括
大脑网络状态随着激素水平的变化而动态变化. 卵泡刺激,黄素化,孕和雌激素的波动与特定的大脑网络状态和功能连接相关.
科学领域:
- 神经科学是一个神经科学.
- 内分泌学 在内分泌学.
- 大脑网络动力学
背景情况:
- 人体内分泌系统影响大脑功能和连接.
- 快速激素波动对短期大脑网络组织的影响尚不清楚.
- 之前的工作建立了一个框架来分析框架性大脑活动的共同波动,并确定了反复出现的网络状态.
研究的目的:
- 为了研究脑网络的反复状态和每日激素度变化之间的关系.
- 确定特定网络状态的发生频率是否与激素水平相关.
- 探索功能连接重量和激素波动之间的相关性.
主要方法:
- 使用密集采样数据集 (N=1) 每天休息状态fMRI扫描和血液抽取自然月经周期和孕抑制周期.
- 应用了一个框架来建模框架式大脑区域的共同波动,以识别反复出现的网络状态.
- 分析了网络状态发生频率",事件框架"网络属性和激素度 (毛囊刺激激素,黄素激素,孕激素,雌激素) 之间的相关性.
主要成果:
- 从fMRI数据中确定了两种重复的脑网络状态.
- 发现"状态1"的发生频率与卵泡刺激和黄素化激素度之间存在显著的相关性.
- 观察到特定功能连接的重量和卵泡刺激,白质化,孕激素和雌激素水平的波动之间的强烈相关性.
结论:
- 激素度的每日变化与大脑网络组织的动态变化有关.
- 特定大脑网络状态的频率与关键生殖激素的波动有关.
- 激素波动显著影响大脑内的功能连接模式.
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