To investigate the variations of contingent negative variations （ CNV）, P300 and mismatch negativity （MMN） in depression and anxiety disorders. Methods CNV, P300 and MMN were recorded from 44 depressive patients u...To investigate the variations of contingent negative variations （ CNV）, P300 and mismatch negativity （MMN） in depression and anxiety disorders. Methods CNV, P300 and MMN were recorded from 44 depressive patients using Nicolet Spirit Instrument, and were compared with that of 32 anxiety patients and 28 normal controls（NC）. 21 of depressive patients and 18 of anxiety patients were followed up by 2.5 months with the same evoked potentials. Results 1. Compared with NC, all patients in acute episode showed decreased M1 of CNV amplitude, delayed P3 latency and decreased P3 amplitude of P300, and delayed MMN latency and decreased MMN amplitude ; 2. The follow-up study of evoked potentials revealed that abnormal P3 of P300 and MMN latencies were significant between depressed patients in remission status and NC group but not P3 of P300 and MMN amplitudes, and M1 of CNV and P3 of P300 amplitudes and P3 of P300 and MMN latencies are not significant between anxiety patients in remission and NC group. Conclusion Delayed P3 of P300 and MMN latencies in depression show state and trait markers, while those variations in anxiety correlate with clinical status of anxiety state.展开更多
Objective To predict the incidence of anxiety in Alzheimer’s disease (AD) patients by using machine-learning models. Methods A large randomized controlled clinical trial was analyzed in this study, which involved AD ...Objective To predict the incidence of anxiety in Alzheimer’s disease (AD) patients by using machine-learning models. Methods A large randomized controlled clinical trial was analyzed in this study, which involved AD patients and caregivers from 6 different sites in the United States. The incidence of anxiety in AD patients was predicted by backpropagation artificial neural networks and several machine learning models, including Bayesian Networks, logistic regression, ADTree, J48, and Decision table. Results Among all models for predicting the incidence of anxiety in AD patients, the artificial neural network with respectively 6 and 3 neurons in the first and second hidden layers achieved the highest predictive accuracy of 85.56 %. The decision tree revealed three main risk factors: "caregiver experiencing psychological distress", "caregiver suffering from chronic disease or cancer", and "lack of professional care service". Conclusion The unique ability of artificial neural networks on classifying nonlinearly separable problems may substantially benefit the prediction, prevention and early intervention of anxiety in Alzheimer’s patients. Decision tree has the double efficacy of predicting the incidence and discovering the risk factors of anxiety in Alzheimer’s patients. More resources should be provided to caregivers to improve their mental and physical health, and more professional care services should be adopted by Alzheimer’s families.展开更多
Evidence suggests that the hyperammonemia （HA）-induced neuroinflammation and alterations in the serotonin （5-HT） system may contribute to cognitive decline and anxiety disorder during hepatic encephalopathy （HE）...Evidence suggests that the hyperammonemia （HA）-induced neuroinflammation and alterations in the serotonin （5-HT） system may contribute to cognitive decline and anxiety disorder during hepatic encephalopathy （HE）. Probiotics that maintain immune system homeostasis and regulate the 5-HT system may be potential treatment for HA-mediated neurological disorders in HE. In this study, we tested the efficacy of probiotic Lactobacillus helveticus strain NS8 in preventing cognitive decline and anxie- ty-like behavior in HA rats. Chronic HA was induced by intraperitoneal injection of ammonium acetate for four weeks in male Sprague-Dawley rats. HA rats were then given Lactobacillus helveticus strain NS8 （109 CFU mL 1） in drinking water as a dai- ly supplementation. The Morris water maze task assessed cognitive function, and the elevated plus maze test evaluated anxie- ty-like behavior. Neuroinflammation was assessed by measuring the inflammatory markers： inducible nitric oxide synthase, prostaglandin E2, and interleukin-1 13 in the brain. 5-HT system activity was evaluated by measuring 5-HT and its metabolite, 5-HIAA, and the 5-HT precursor, tryptophan. Probiotic treatment of HA rats significantly reduced the level of inflammatory markers, decreased 5-HT metabolism, restored cognitive function and improved anxiety-like behavior. These results indicate that probiotic L. helveticus strain NS8 is beneficial for the treatment of cognitive decline and anxiety-like behavior in HA rats.展开更多
文摘To investigate the variations of contingent negative variations （ CNV）, P300 and mismatch negativity （MMN） in depression and anxiety disorders. Methods CNV, P300 and MMN were recorded from 44 depressive patients using Nicolet Spirit Instrument, and were compared with that of 32 anxiety patients and 28 normal controls（NC）. 21 of depressive patients and 18 of anxiety patients were followed up by 2.5 months with the same evoked potentials. Results 1. Compared with NC, all patients in acute episode showed decreased M1 of CNV amplitude, delayed P3 latency and decreased P3 amplitude of P300, and delayed MMN latency and decreased MMN amplitude ; 2. The follow-up study of evoked potentials revealed that abnormal P3 of P300 and MMN latencies were significant between depressed patients in remission status and NC group but not P3 of P300 and MMN amplitudes, and M1 of CNV and P3 of P300 amplitudes and P3 of P300 and MMN latencies are not significant between anxiety patients in remission and NC group. Conclusion Delayed P3 of P300 and MMN latencies in depression show state and trait markers, while those variations in anxiety correlate with clinical status of anxiety state.
基金the 2006 Mountaineering Program of Shanghai, China(06JC14043).
文摘Objective To predict the incidence of anxiety in Alzheimer’s disease (AD) patients by using machine-learning models. Methods A large randomized controlled clinical trial was analyzed in this study, which involved AD patients and caregivers from 6 different sites in the United States. The incidence of anxiety in AD patients was predicted by backpropagation artificial neural networks and several machine learning models, including Bayesian Networks, logistic regression, ADTree, J48, and Decision table. Results Among all models for predicting the incidence of anxiety in AD patients, the artificial neural network with respectively 6 and 3 neurons in the first and second hidden layers achieved the highest predictive accuracy of 85.56 %. The decision tree revealed three main risk factors: "caregiver experiencing psychological distress", "caregiver suffering from chronic disease or cancer", and "lack of professional care service". Conclusion The unique ability of artificial neural networks on classifying nonlinearly separable problems may substantially benefit the prediction, prevention and early intervention of anxiety in Alzheimer’s patients. Decision tree has the double efficacy of predicting the incidence and discovering the risk factors of anxiety in Alzheimer’s patients. More resources should be provided to caregivers to improve their mental and physical health, and more professional care services should be adopted by Alzheimer’s families.
基金supported by NS Bio JapanNS Health Biotechnology Beijing
文摘Evidence suggests that the hyperammonemia （HA）-induced neuroinflammation and alterations in the serotonin （5-HT） system may contribute to cognitive decline and anxiety disorder during hepatic encephalopathy （HE）. Probiotics that maintain immune system homeostasis and regulate the 5-HT system may be potential treatment for HA-mediated neurological disorders in HE. In this study, we tested the efficacy of probiotic Lactobacillus helveticus strain NS8 in preventing cognitive decline and anxie- ty-like behavior in HA rats. Chronic HA was induced by intraperitoneal injection of ammonium acetate for four weeks in male Sprague-Dawley rats. HA rats were then given Lactobacillus helveticus strain NS8 （109 CFU mL 1） in drinking water as a dai- ly supplementation. The Morris water maze task assessed cognitive function, and the elevated plus maze test evaluated anxie- ty-like behavior. Neuroinflammation was assessed by measuring the inflammatory markers： inducible nitric oxide synthase, prostaglandin E2, and interleukin-1 13 in the brain. 5-HT system activity was evaluated by measuring 5-HT and its metabolite, 5-HIAA, and the 5-HT precursor, tryptophan. Probiotic treatment of HA rats significantly reduced the level of inflammatory markers, decreased 5-HT metabolism, restored cognitive function and improved anxiety-like behavior. These results indicate that probiotic L. helveticus strain NS8 is beneficial for the treatment of cognitive decline and anxiety-like behavior in HA rats.
