Centre for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-NUS Medical School, Singapore, Singapore.
Centre for Cognitive Neuroscience, Duke-NUS Medical School, Singapore, Singapore.
Prog Brain Res. 2019;246:159-176. doi: 10.1016/bs.pbr.2019.02.009. Epub 2019 Mar 21.
Resting state functional connectivity (rsFC) evaluated by detecting temporal co-variation of BOLD signals across multiple brain regions undergoes three major changes following sleep deprivation that indicate the occurrence of sleep intrusions; a loss of integration within networks like the default mode network as well as between networks like the salience and dorsal attention systems; a loss of segregation between networks, for example, between the dorsal attention and default mode networks; and an increase in global signal. Changes in vigilance affect rsFC and these likely occur in many scans involving persons with neuropsychiatric conditions. Ensuring "healthy" or "control" participants do not fall asleep in the scanner is increasingly acknowledged as a being important for proper inference in fMRI studies. Dynamic functional connectivity analyses evaluating the relative proportion of time spent in "low" or "high" arousal states during the well-rested state can predict propensity for vigilance decline when sleep deprived.
静息态功能连接(rsFC)通过检测多个脑区之间的 BOLD 信号的时间协变来评估,在睡眠剥夺后经历了三个主要变化,表明睡眠侵入的发生;网络内的整合丧失,如默认模式网络,以及网络间的整合丧失,如突显和背侧注意系统;网络之间的分离丧失,例如,背侧注意和默认模式网络之间的分离;以及全局信号的增加。警觉性的变化会影响 rsFC,而这些变化可能发生在涉及神经精神疾病患者的许多扫描中。越来越多的人认识到,确保“健康”或“对照”参与者在扫描仪中不入睡对于 fMRI 研究的正确推断是很重要的。评估在休息状态下处于“低”或“高”唤醒状态的时间相对比例的动态功能连接分析可以预测在睡眠剥夺时警觉性下降的倾向。