前额叶皮质
神经科学
连贯性(哲学赌博策略)
功能近红外光谱
功能连接
认知
任务(项目管理)
心理学
物理医学与康复
医学
听力学
物理
量子力学
经济
管理
作者
Long Xu,Bitian Wang,Gelin Xu,Wei Wang,Zhian Liu,Zengyong Li
标识
DOI:10.1016/j.neulet.2017.01.018
摘要
Noninvasive and accurate assessment of driving fatigue in relation to brain activity during long-term driving can contribute to traffic safety and accident prevention. This study evaluated functional connectivity (FC) in relevant brain regions. Synergistic mechanisms in different brain regions were detected by a novel simulator, which combined semi-immersive virtual reality technology and functional near-infrared spectroscopy. Each subject was instructed to complete driving tasks coupled with a mental calculation task. Wavelet coherence (WCO) and wavelet phase coherence (WPCO) were calculated and assessed in frequency intervals (I) 0.6–2 and (II) 0.145–0.6 Hz as global connectivity measures; (III) 0.052–0.145, (IV) 0.021–0.052, (V) 0.0095–0.021 and (VI) 0.005–0.0095 Hz as FC. WCO and WPCO revealed the strength and synchronization of cerebral connectivity, respectively. Significantly low WCO levels were found in intervals I and III in prefrontal cortex (PFC) and IV in motor cortex (MC) at the end of the driving task. Furthermore, significantly low WPCO were found in intervals I, and III in PFC and interval IV in MC. Experimental findings suggested that progressive mental fatigue adversely influences the cognitive function in the PFC and the cooperative mechanism between the PFC and MC.
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