调节嗜睡对休息状态功能连接性的影响
Marc Joliot1, Sandrine Cremona2, Christophe Tzourio3
1GIN, IMN UMR5293, CEA, CNRS, Université de Bordeaux, Bordeaux, France. marc.joliot@u-bordeaux.fr.
Scientific reports
|April 15, 2024
概括
这项研究研究了在休息状态fMRI中减少对大脑功能连接 (FC) 的嗜睡影响的方法. 全球信号回归最有效地减少了FC差异,但像生理学或高斯方法这样的谨慎方法可能更可取.
科学领域:
- 神经成像是一种神经成像.
- 认知神经科学 认知神经科学
- 信号处理 信号处理
背景情况:
- 嗜睡在休息状态功能磁共振成像 (RS-fMRI) 期间显著影响大脑功能连接 (FC).
- 了解和减轻这些影响对于准确分析大脑状态至关重要.
研究的目的:
- 为了比较五种不同的数据处理方法,以确定它们在调节FC中与昏昏欲睡相关的变化的有效性.
- 确定分析RS-fMRI数据的最佳方法,同时考虑到不同的警觉程度.
主要方法:
- 利用MRi-Share学生队列,根据呼吸系统振荡将参与者分为嗜睡和警觉状态.
- 应用了五种处理方法:参考,生理信号回归,全球信号回归和两个高斯标准化方法.
- 在所有方法中分析了昏昏欲睡和警觉状态之间的FC群体差异.
主要成果:
- 与参考方法相比,所有测试方法都减少了昏昏欲睡和警觉状态之间的FC差异.
- 全球信号回归是最有效的,将显著的FC差异减少到3.3%,尽管存在过度校正的风险.
- 基于高斯的方法显示,在警觉状态和昏昏状态下,皮层-亚皮层和默认模式内部网络 (DMN) FC 较大,模仿睡眠开始模式.
结论:
- 数据处理对RS-fMRI中对FC的嗜睡影响的检测有重大影响.
- 全球信号回归提供了强烈但可能过度纠正的结果;生理学或高斯式方法提供了更谨慎的替代方案.
- 研究结果表明,警觉状态表现出更完整的皮层-亚皮层和DMN连接性,可能反映出睡眠开始的准备机制.
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