不同睡眠质量大学生氧合血红蛋白的差异

目的 采用功能性近红外光谱成像(fNIRS)技术,研究不同睡眠质量的大学生群体在言语流畅性(VFT)任务下大脑氧合血红蛋白(Oxy-Hb)的激活水平差异,为改善大学生睡眠质量提供神经机制理论基础.方法 采用简单随机抽样方法,于2020年和2021年新生入学期间对华中科技大学96名大学生进行测查,经匹兹堡睡眠质量(PSQ...

Near infrared spectroscopy assessed oxygenated hemoglobin with sleep quality among college students

  Objective  Functional near infrared spectroscopy (fNIRS) was used to assess brain oxygenated hemoglobin (Oxy-Hb) activation in college students with different sleep quality under the verbal fluency task (VFT), so as to better provide a theoretical basis for the neural mechanism for sleep quality improvement of college students.  Methods  A simple random sampling method was used to investigate 96 college students from one university during 2020 and 2021. According to the results of the Pittsburgh Sleep Quality Index(PSQI), participants were divided into 3 groups: good sleep quality group(n=45), moderate group(n=33), and poor group(n=18). The 53-channel near-infrared spectroscopy to collect cerebral blood oxygen signals under the VFT task. Association between oxygenated hemoglobin with sleep quality was analyzed.  Results  About 18.75% of college students reported sleep quality problems, including long sleep latency (0.97±0.97) and poor subjective sleep quality (0.96±0.72). There was a significant negative correlation between PSQI score and average oxygenated hemoglobin (Avg-HbO) index of dorsolateral prefrontal lobe (r=-0.23, P=0.03). The Avg-HbO index differed significantly between good and poor sleep quality groups on dorsolateral prefrontal lobe(P=0.05).  Conclusion  This study verified that there is a positive correlation between sleep quality and cognitive ability among college students. The fNIRS technique could accurately collect blood oxygen signals from dorsolateral prefrontal lobe during cognitive tasks, which proves to be an effective tool for identifying sleep quality of college students.