Chronic fatigue syndrome is a neurological disorder characterized by extreme fatigue that lasts for a long time and doesn't alleviate with rest.The number of the cases has been increasing during the era of COVID-1...Chronic fatigue syndrome is a neurological disorder characterized by extreme fatigue that lasts for a long time and doesn't alleviate with rest.The number of the cases has been increasing during the era of COVID-19 pandemic.Acupuncture may have some effect on chronic fatigue syndrome,but its mechanism remains unclear.This article was to summarize the specific manifestations of abnormal central mechanism in patients with chronic fatigue syndrome through laboratory tests and neuroimaging.It was found from the laboratory evaluation that there were changes in the structure of the frontal cortex,thalamus and other brain tissues;factors,including IFN-a and IL-10 in cerebrospinal fluid were found abnormal;results of oxidative and nitrosative stress and changes in neurobiochemical substances,e.g.hypothalamus hormone levels and neurotransmitter concentrations,were observed.With magnetic resonance imaging and positron emission tomography,it was shown that the partial brain of persons with chronic fatigue syndrome had morphological changes with diminished grey matter and white;changes in cerebral blood flow velocity caused by decreased perfusion and functional activity with abnormal connectivity in brain were detected.In addition,there was significant decrease in glucose metabolism accompanied with neuroinflammatory response;metabolic disorders of serotonergic,cholinergic,glutamatergic and yaminobutyric acid energy neurotransmitters were also discovered.The regulatory effect of acupuncture on the above central neurological abnormalities in chronic fatigue syndrome model animals was elaborated,and the direction for further research was analyzed in order to provide ideas for further research on the central mechanism of acupuncture treatment for chronic fatigue syndrome.展开更多
Future space-based gravitational-wave detectors will detect gravitational waves with high sensitivity in the millihertz frequency band,providing more opportunities to test theories of gravity than ground-based detecto...Future space-based gravitational-wave detectors will detect gravitational waves with high sensitivity in the millihertz frequency band,providing more opportunities to test theories of gravity than ground-based detectors.The study of quasinormal modes(QNMs)and their application in gravity theory testing have been an important aspect in the field of gravitational physics.In this study,we investigate the capability of future space-based gravitational wave detectors,such as LISA,TaiJi,and TianQin,to constrain the dimensionless deviating parameter for Einsteindilaton-Gauss-Bonnet(EdGB)gravity with ringdown signals from the merger of binary black holes.The ringdown signal is modeled by the two strongest QNMs in EdGB gravity.Considering time-delay interferometry,we calculate the signal-to-noise ratio of different space-based detectors for ringdown signals to analyze their capabilities.The Fisher information matrix is employed to analyze the accuracy of parameter estimation,with particular focus on the dimensionless deviating parameter for EdGB gravity.The impact of the parameters of gravitational wave sources on the estimation accuracy of the dimensionless deviating parameter is also studied.We find that the constraint ability of EdGB gravity is limited because the uncertainty of the dimensionless deviating parameter increases with a decrease in the dimensionless deviating parameter.LISA and TaiJi offer more advantages in constraining the dimensionless deviating parameter to a more accurate level for massive black holes,whereas TianQin is more suited to less massive black holes.The Bayesian inference method is used to perform parameter estimation on simulated data,which verifies the reliability of the conclusion.展开更多
基金Supported by the National Natural Science Foundation of China:No.82074539the National Natural Science Foundation of China:No.81704170+2 种基金the Natural Science Foundation of Heilongjiang Province:No.LH2020H092the Heilongjiang Postdoctoral Scientific Research Developmental Fund:No.LBH-Q.18117the National Key Talents Project of Traditional Chinese Medicine Innovation。
文摘Chronic fatigue syndrome is a neurological disorder characterized by extreme fatigue that lasts for a long time and doesn't alleviate with rest.The number of the cases has been increasing during the era of COVID-19 pandemic.Acupuncture may have some effect on chronic fatigue syndrome,but its mechanism remains unclear.This article was to summarize the specific manifestations of abnormal central mechanism in patients with chronic fatigue syndrome through laboratory tests and neuroimaging.It was found from the laboratory evaluation that there were changes in the structure of the frontal cortex,thalamus and other brain tissues;factors,including IFN-a and IL-10 in cerebrospinal fluid were found abnormal;results of oxidative and nitrosative stress and changes in neurobiochemical substances,e.g.hypothalamus hormone levels and neurotransmitter concentrations,were observed.With magnetic resonance imaging and positron emission tomography,it was shown that the partial brain of persons with chronic fatigue syndrome had morphological changes with diminished grey matter and white;changes in cerebral blood flow velocity caused by decreased perfusion and functional activity with abnormal connectivity in brain were detected.In addition,there was significant decrease in glucose metabolism accompanied with neuroinflammatory response;metabolic disorders of serotonergic,cholinergic,glutamatergic and yaminobutyric acid energy neurotransmitters were also discovered.The regulatory effect of acupuncture on the above central neurological abnormalities in chronic fatigue syndrome model animals was elaborated,and the direction for further research was analyzed in order to provide ideas for further research on the central mechanism of acupuncture treatment for chronic fatigue syndrome.
基金the National Key R&D Program of China(2022YFC2204602)the Natural Science Foundation of China(11925503)。
文摘Future space-based gravitational-wave detectors will detect gravitational waves with high sensitivity in the millihertz frequency band,providing more opportunities to test theories of gravity than ground-based detectors.The study of quasinormal modes(QNMs)and their application in gravity theory testing have been an important aspect in the field of gravitational physics.In this study,we investigate the capability of future space-based gravitational wave detectors,such as LISA,TaiJi,and TianQin,to constrain the dimensionless deviating parameter for Einsteindilaton-Gauss-Bonnet(EdGB)gravity with ringdown signals from the merger of binary black holes.The ringdown signal is modeled by the two strongest QNMs in EdGB gravity.Considering time-delay interferometry,we calculate the signal-to-noise ratio of different space-based detectors for ringdown signals to analyze their capabilities.The Fisher information matrix is employed to analyze the accuracy of parameter estimation,with particular focus on the dimensionless deviating parameter for EdGB gravity.The impact of the parameters of gravitational wave sources on the estimation accuracy of the dimensionless deviating parameter is also studied.We find that the constraint ability of EdGB gravity is limited because the uncertainty of the dimensionless deviating parameter increases with a decrease in the dimensionless deviating parameter.LISA and TaiJi offer more advantages in constraining the dimensionless deviating parameter to a more accurate level for massive black holes,whereas TianQin is more suited to less massive black holes.The Bayesian inference method is used to perform parameter estimation on simulated data,which verifies the reliability of the conclusion.
