功能性大脑网络的架构通过在火车运行中的噪声暴露下驾驶来调节
Yashuai Zhao1, Yuanchun Huang1, Zhigang Liu1
1School of Urban Rail Transportation, Shanghai University of Engineering Science, Shanghai, P.R. China.
PloS one
|August 15, 2024
概括
城市铁路运输运营期间的高噪音水平对司机产生重大影响.
科学领域:
- 神经科学是一个神经科学.
- 运输安全运输安全
- 环境心理学 环境心理学
背景情况:
- 噪音环境对驾驶员的注意力和疲劳有负面影响.
- 由于噪音造成的认知功能受损,驾驶安全受到损害.
- 城市铁路运输运营产生噪音,可能会影响司机.
研究的目的:
- 分析城市轨道交通噪声对司机功能性脑网络的影响.
- 研究噪音暴露水平与大脑网络组织之间的关系.
- 了解在噪音条件下驾驶性能背后的神经机制.
主要方法:
- 与16名参与者进行模拟驾驶实验.
- 噪音暴露在50,60,70和80dB的时间.
- 权重相位滞后指数 (WPLI) 用于评估跨频段的功能连接.
- 图形理论分析大脑网络拓 (全球效率,程度,集群系数).
主要成果:
- 在高噪音水平 (70,80dB) 的theta和alpha波段中增加WPLI值和大脑同步.
- 在高噪音环境中,大脑网络的全球效率,节点程度和集群系数的显著增长.
- 在噪音暴露下,功能性大脑网络重组的证据.
结论:
- 高噪音环境会导致司机功能大脑网络发生显著变化.
- 暴露于噪音导致大脑网络重组,有利于更高的全球效率.
- 这些发现有助于理解噪音对驾驶的神经影响,可能减少事故.
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