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| 1 | Neuroimaging and intervening in memory reconsolidation of human drug addiction显示文摘Reconsolidation refers to memory reprocessing when consolidated memory is being recalled and restored.Importantly,as memory is being recalled,it could further modify past memories.Memory reconsolidation has been identified as a critical role in various types of mental disorders,in particular drug addiction.In this review,we first review earlier studies related to reconsolidation.Secondly,we characterize memory reconsolidation processing in human brain via neuroimaging studies.Then we focus on the role of reconsolidation and reconsolidation-based interventions in drug addiction.Finally,we highlight the potentials of combining reconsolidation-based interventions and neuroimaging techniques as a therapeutic tool in drug addiction. | Chuan FAN Yan CHENG Huixing GOU Chang LIU Shengliang DENG Chialun LIU Xianwen CHEN Junjie BU Xiaochu ZHANG | 2020 | Science China(Information Sciences)2020，63，7： | 0 |
| 2 | Dysfunctional resting-state EEG microstate correlated with the severity of cigarette exposure in nicotine addiction显示文摘Dear editor,Nicotine is a significant cause of severe physical and psychiatric disorders.Evidence suggests that smokers have poorer global cognitive functioning in later life,as well as lower average scores in several cognitive domains,including cognitive flexibility and memory [1]. | Yan CHENG Junjie BU Nan LI Jian LI Huixing GOU Shinan SUN Chang LIU Zida JIN Changle HE Chuan FAN Chialun LIU Xiaochu ZHANG | 2020 | Science China(Information Sciences)2020，63，7： | 0 |
| 3 | Resting-state electroencephalography theta predicts neurofeedback treatment 4-month follow-up response in nicotine addiction显示文摘Background The high rate of long-term relapse is a major cause of smoking cessation failure.Recently,neurofeedback training has been widely used in the treatment of nicotine addiction;however,approximately 30%of subjects fail to benefit from this intervention.Our previous randomised clinical trial(RCT)examined cognition-guided neurofeedback and demonstrated a significant decrease in daily cigarette consumption at the 4-month follow-up.However,significant individual differences were observed in the 4-month follow-up effects of decreased cigarette consumption.Therefore,it is critical to identify who will benefit from pre-neurofeedback.Aims We examined whether the resting-state electroencephalography(EEG)characteristics from pre-neurofeedback predicted the 4-month follow-up effects and explored the possible mechanisms.Methods This was a double-blind RCT.A total of 60 participants with nicotine dependence were randomly assigned to either the real-feedback or yoked-feedback group.They underwent 6 min closed-eye resting EEG recordings both before and after two neurofeedback sessions.A follow-up assessment was conducted after 4 months.Results The frontal resting-state theta power spectral density(PSD)was significantly altered in the real-feedback group after two neurofeedback visits.Higher theta PSD in the real-feedback group before neurofeedback was the only predictor of decreased cigarette consumption at the 4-month follow-up.Further reliability analysis revealed a significant positive correlation between theta PSD pre-neurofeedback and post-neurofeedback.A leave-one-out cross-validated linear regression of the theta PSD pre-neurofeedback demonstrated a significant correlation between the predicted and observed reductions in cigarette consumption at the 4-month follow-up.Finally,source analysis revealed that the brain mechanisms of the theta PSD predictor were located in the orbital frontal cortex.Conclusions Our study demonstrated changes in the resting-state theta PSD following neurofeedback training.Moreover,the resting-state theta PSD may serve as a prognostic marker of neurofeedback effects.A higher resting-state theta PSD predicts a better long-term response to neurofeedback treatment,which may facilitate the selection of individualised interventions. | Qiujian Meng Ying Zhu Ye Yuan Li Yang Jiafang Liu Xiaochu Zhang Junjie Bu | 2023 | General Psychiatry2023，36，4： | 0 |
| 4 | CACA Guidelines for Holistic Integrative Management of Breast Cancer显示文摘Purpose:Breast cancer is now the most common malignant tumor worldwide.About one-fourth of female cancer patients all over the world sufer from breast cancer.And about one in six female cancer deaths worldwide is caused by breast cancer.In terms of absolute numbers of cases and deaths,China ranks frst in the world.The CACA Guidelines for Holistic Integrative Management of Breast Cancer were edited to help improve the diagnosis and comprehensive treatment in China.Methods:The Grading of Recommendations Assessment,Development and Evaluation(GRADE)was used to classify evidence and consensus.Results:The CACA Guidelines for Holistic Integrative Management of Breast Cancer include the epidemiology of breast cancer,breast cancer screening,breast cancer diagnosis,early breast cancer treatment,advanced breast cancer treatment,follow-up,rehabilitation,and traditional Chinese medicine treatment of breast cancer patients.Conclusion:We to standardize the diagnosis and treatment of breast cancer in China through the formulation of the CACA Guidelines. | Jiong Wu Daiming Fan Zhimin Shao Binghe Xu Guosheng Ren Zefei Jiang Yongsheng Wang Feng Jin Jin Zhang Qingyuan Zhang Fei Ma Jinli Ma Zhonghua Wang Shusen Wang Xiaojia Wang Shu Wang Haibo Wang Tao Wang Xiang Wang Jing Wang Jia Wang Biyun Wang Li Fu Hongyuan Li Yehui Shi Lu Gan Yunjiang Liu Jian Liu Zhenzhen Liu Qiang Liu Qiang Sun Wenwu Cheng Keda Yu Zhongsheng Tong Xinhong Wu Chuangui Song Jianguo Zhang Jian Zhang Junjie Li Bin Li Man Li Huiping Li Wentao Yang Hongjian Yang Benlong Yang Hong Bu Juping Shen Zhenzhou Shen Yiding Chen Ceshi Chen Da Pang Zhimin Fan Ying Zheng Xiaoli Yu Guangyu Liu Xichun Hu Yiqun Ling Jinhai Tang Yongmei Yin Cuizhi Geng Peng Yuan Yajia Gu Cai Chang Xuchen Cao Yuan Sheng Yuanxi Huang Jian Huang Weijun Peng Xiaohua Zeng Yuntao Xie Ning Liao Committee of Breast Cancer Society,Chinese Anti-Cancer Association | 2022 | Holistic Integrative Oncology2022，1，1： | 0 |
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