Functional connectivity analysis using fNIRS in healthy subjects during prolonged simulated driving

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• 作者：Liwei Xu^a ; Bitian Wang^a ; Gongcheng Xu^a ; Wei Wang^a ; Zhian Liu^a ; Zengyong Li^b ; ^{lizengyong@nrcrta.cn}
• 关键词：CBF ; cerebral blood flow ; SC ; significant connectivity ; FC ; functional connectivity ; fNIRS ; functional near-infrared spectroscopy ; GC ; global connectivity ; LMC ; left motor cortex ; LPFC ; left prefrontal cortex ; PFC ; prefrontal cortex ; RMC ; right motor cortex ; RPFC ; right prefrontal cortex ; VAS ; visual analogue scale ; WCO ; wavelet coherence ; WPCO ; wavelet phase coherence ; WT ; wavelet transform ; SDCS ; standard deviation of car speed ; SDLP ; standard deviation of lateral position ; FICL ; frequency of
• 刊名：Neuroscience Letters
• 出版年：2017
• 出版时间：15 February 2017
• 年：2017
• 卷：640
• 期：Complete
• 页码：21-28
• 全文大小：2757 K
• 卷排序：640

文摘

Simulator combined semi-immersive virtual reality (VR) technology and fNIRS were designed to detect brain activities. Focus on functional connectivity (FC) between brain regions, not merely variations in concentration of oxyhemoglobin. Wavelet coherence and wavelet phase coherence reveal the strength and synchronization of FC, respectively. FC among brain regions are closely related to fatigue caused by prolonged driving.