Sleep deprivation reorganizes the dynamic configurations of default mode network activity during recovery sleep

作     者：CUI Yan WU ShengDun ZHAO Shi LONG TianYao JIAN ZhaoXin YU Shuang ZHANG Ge BISWAL Bharat GUO DaQing XIA Yang YAO DeZhong CUI Yan;WU ShengDun;ZHAO Shi;LONG TianYao;JIAN ZhaoXin;YU Shuang;ZHANG Ge;BISWAL Bharat;GUO DaQing;XIA Yang;YAO DeZhong

作者机构：The Clinical Hospital of Chengdu Brain Science InstituteMOE Key Lab for Neuro InformationCentre for Information in MedicineSchool of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengdu 611731China Department of NeurosurgerySichuan Provincial People's HospitalUniversity of Electronic Science and Technology of ChinaChengdu 610072China Chinese Academy of SciencesSichuan Translational Medicine Research HospitalChengdu 610072China Research Unit of Neuro Information(2019RU035)Chinese Academy of Medical SciencesChengdu 611731China Department of Biomedical EngineeringNew Jersey Institute of TechnologyNewarkNew Jersey 07102USA School of Electrical EngineeringZhengzhou UniversityZhengzhou 450001China 

出 版 物：《Science China(Technological Sciences)》 (中国科学（技术科学英文版）)

年 卷 期：2022年第65卷第7期

页      面：1456-1469页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0710[理学-生物学] 1002[医学-临床医学] 0805[工学-材料科学与工程（可授工学、理学学位）] 10[医学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the MOST 2030 Brain Project (Grant No.2022ZD0208500) the National Natural Science Foundation of China(Grant Nos. 31771149, 81861128001, and 61933003) partly supported by the CAMS Innovation Fund for Medical Sciences (CIFMS)(Grant No.2019-I2M-5-039)。 

主　　题：sleep deprivation sleep state default mode network coactive micropattern dynamic configuration efficiency 

摘      要：Sleep deprivation causes disturbances of the neural activity, leading to the impairment of brain functions. However, the exact mechanism of sleep deprivation and how it affects the dynamics of brain activity during the recovery sleep remains unclear. In the current study, we performed sleep deprivation experiments on ten adult rats, and recorded the local field potentials from default mode network(DMN) regions during sleep before and after sleep deprivation. The DMN dynamics was assessed with the configurations of coactive micropatterns(CAMPs) using our previously proposed CAMP method. Our analysis revealed that the effects of sleep deprivation on DMN dynamics in the slow-wave sleep(SWS) state and the rapid eye-movement sleep(REM)state were disparate. Dynamic configurations of DMN activity in the SWS state were significantly impaired after sleep deprivation, with increased occurrence of low-activity CAMP and reorganized transition structure across three CAMPs. Moreover,enhanced functional connectivity and improved efficiencies in all CAMP networks were observed during the SWS state in the recovery sleep. However, there were no significant alterations in either DMN dynamics or CAMP network structures in the REM sleep state after sleep deprivation. Our results described the alterations of DMN dynamics in different sleep states after sleep deprivation, and illustrated the differential effects of sleep deprivation on two sleep states. These findings demonstrated the underlying neural mechanisms of the effects of sleep deprivation on DMN activity during sleep and increased our understanding of the physiological roles of the DMN in maintain sleep homeostasis after sleep deprivation.