Neurofeedback training (NFT) is an important neuromodulation method that can produce certain plasticity in the central nervous system, and is expected to be an effective physical intervention method for rehabilitation of mental disorders. So far, there have been many studies on NFT promoting the rehabilitation of common mental disorders in the literature. For different mental disorders, there are different NFT training programs with different intervention effects and mechanisms. This paper focuses on the application of NFT in the rehabilitation of mental disorders, introduces the concept, process and common solutions of NFT, and focuses on the methods and applications of NFT to promote the rehabilitation of common mental disorders, and finally discusses the faced problems and future research trends, aiming to provide references for innovative research and clinical application of NFT to promote the rehabilitation of mental disorders.

Neurofeedback training (NFT) is an important neuromodulation method that can produce certain plasticity in the central nervous system, and is expected to be an effective physical intervention method for rehabilitation of mental disorders. So far, there have been many studies on NFT promoting the rehabilitation of common mental disorders in the literature. For different mental disorders, there are different NFT training programs with different intervention effects and mechanisms. This paper focuses on the application of NFT in the rehabilitation of mental disorders, introduces the concept, process and common solutions of NFT, and focuses on the methods and applications of NFT to promote the rehabilitation of common mental disorders, and finally discusses the faced problems and future research trends, aiming to provide references for innovative research and clinical application of NFT to promote the rehabilitation of mental disorders.

Objective To study the relationship between bronchial asthma and smoking status in Chinese people.Methods Asthma epidemiological survey and stratified-cluster-random method survey were performed in residents over 14 years in 8 provinces (cities) of China from February 2010 to August 2012.Asthma was diagnosed based upon case history,clinical signs and lung function test.Smoking status was investigated by questionnaire.Results Sampling population was 180 099 and 164 215 were valid.A total of 2 034 subjects were diagnosed as asthma including 79 692 men and 84 523 women.The overall prevalence rate of asthma was 1.24％ (2 034/164 215).Smokers were 23.8％ (39 137/164 215) in the whole population.Smokers were 34.5％ (702/2 034) in asthmatic patients,compared with 23.7％ (38 435/ 162 181) in no-asthmatic population.The incidence of asthma was 1.79％ and 1.06％ in smokers and nonsmokers respectively (P ＜0.001),suggesting that OR of smoking was 1.70 (95％ CI 1.55-1.86,P ＜ 0.001).According to asthma control test (ACT) score,the level of asthma control in non smoking group was higher than that in smoking group(43.2％ vs 35.3％).The times of hospitalization due to acute exacerbations (0.51 vs 0.41 events/person/year),total hospitalization rate (27.35 ％ vs 20.12％),annual emergency room visits (0.80 vs 0.60 events/person/year) and emergency room visit rate (31.77％ vs 24.47％) were all much higher in smoking asthmatic patients than those in non smoking asthmatic patients,indicating that the level of asthma control in smoking patients was significantly worse than in non smoking patients.Conclusions The smoking rate in Chinese people over 14 years is still high.The prevalence rate of asthma in smokers is significantly higher than that of non-smokers.The level of asthma control in smokers is significantly worse than that in non smokers.

Neurofeedback (NF) technology based on electroencephalogram (EEG) data or functional magnetic resonance imaging (fMRI) has been widely studied and applied. In contrast, functional near infrared spectroscopy (fNIRS) has become a new technique in NF research in recent years. fNIRS is a neuroimaging technology based on hemodynamics, which has the advantages of low cost, good portability and high spatial resolution, and is more suitable for use in natural environments. At present, there is a lack of comprehensive review on fNIRS-NF technology (fNIRS-NF) in China. In order to provide a reference for the research of fNIRS-NF technology, this paper first describes the principle, key technologies and applications of fNIRS-NF, and focuses on the application of fNIRS-NF. Finally, the future development trend of fNIRS-NF is prospected and summarized. In conclusion, this paper summarizes fNIRS-NF technology and its application, and concludes that fNIRS-NF technology has potential practicability in neurological diseases and related fields. fNIRS can be used as a good method for NF training. This paper is expected to provide reference information for the development of fNIRS-NF technology.
Neurofeedback/methods* ; Spectroscopy, Near-Infrared/methods* ; Brain/diagnostic imaging* ; Magnetic Resonance Imaging ; Technology

The development and potential application of brain-computer interface (BCI) technology is closely related to the human brain, so that the ethical regulation of BCI has become an important issue attracting the consideration of society. Existing literatures have discussed the ethical norms of BCI technology from the perspectives of non-BCI developers and scientific ethics, while few discussions have been launched from the perspective of BCI developers. Therefore, there is a great need to study and discuss the ethical norms of BCI technology from the perspective of BCI developers. In this paper, we present the user-centered and non-harmful BCI technology ethics, and then discuss and look forward on them. This paper argues that human beings can cope with the ethical issues arising from BCI technology, and as BCI technology develops, its ethical norms will be improved continuously. It is expected that this paper can provide thoughts and references for the formulation of ethical norms related to BCI technology.
Humans ; Brain-Computer Interfaces ; Technology ; Brain ; User-Computer Interface ; Electroencephalography

ObjectiveTo establish the specific chromatogram and thin layer chromatography（TLC） of Qingxin Lianziyin（QXLZY） benchmark samples， in order to clarify the key quality attributes and provide a reference for the quality evaluation of QXLZY. MethodHigh performance liquid chromatography（HPLC） specific chromatogram of QXLZY benchmark samples was developed by using a YMC Hydrosphere C₁₈ column（4.6 mm×250 mm， 5 μm） with the mobile phase of acetonitrile（A）-0.2% formic acid aqueous solution（B） for gradient elution（0-10 min， 5%-20%A； 10-20 min， 20%A； 20-25 min， 20%-24%A； 25-40 min， 24%-30%A； 40-55 min， 30%-50%A； 55-65 min， 50%-100%A； 65-75 min， 100%A； 75-75.1 min， 100%-5%A； 75.1-90 min， 5%A）， and the detection wavelength was 360 nm. Ultra-high performance liquid chromatography-linear ion trap/orbitrap mass spectrometry（UHPLC-LTQ-Orbitrap MS） with electrospray ionization（ESI） was used to identify the components of QXLZY benchmark samples by accurate relative molecular weight and multilevel MS fragment ion information， the detection conditions were positive and negative ion modes and data dependency scanning mode. TLC identification methods for Ophiopogonis Radix， Lycii Cortex， Nelumbinis Semen， Poria， Astragali Radix and Ginseng Radix et Rhizoma in QXLZY were established. ResultA total of 15 characteristic peaks were identified from Glycyrrhizae Radix et Rhizoma， Plantaginis Semen and Scutellariae Radix， and the relative standard deviations of the retention times of 15 characteristic peaks in 15 batches of QXLZY benchmark samples were≤3% with peak 8（baicalin） as the reference peak. A total of 100 compounds， including flavonoids， organic acids， saponins， amino acids and others， were identified in the benchmark samples by UHPLC-LTQ-Orbitrap MS. The established TLC had good separation and was suitable for the identification of Ophiopogonis Radix， Lycii Cortex， Nelumbinis Semen， Poria， Astragali Radix and Ginseng Radix et Rhizoma in QXLZY. ConclusionThe material basis of QXLZY benchmark samples is basically determined by MS designation and source attribution. The established specific chromatogram and TLC of QXLZY are simple， stable and reproducible， which can provide a reference for the development and quality control of QXLZY.

ObjectiveTo establish the specific chromatogram and thin layer chromatography（TLC） identification method of Kaixinsan（KXS） samples， in order to clarify the key quality attributes and provide reference for the quality evaluation of KXS. MethodHigh performance liquid chromatography（HPLC） specific chromatogram of KXS was developed with YMC Hydrosphere C₁₈ column（4.6 mm×250 mm， 5 μm）， the mobile phase was acetonitrile（A）-0.2% formic acid aqueous solution（B） for gradient elution（0-15 min， 2%-20%A； 15-25 min， 20%-25%A； 25-30 min， 25%-30%A； 30-45 min， 30%-31%A； 45-50 min， 31%-44%A； 50-65 min， 44%-45%A； 65-73 min， 45%-75%A； 73-95 min， 75%-100%A； 95-105 min， 100%A； 105-105.1 min， 100%-2%A； 105.1-120 min， 2%A）， the detection wavelength was 320 nm. Ultra high performance liquid chromatography-linear ion trap-electrostatic field orbitrap mass spectrometry（UHPLC-LTQ-Orbitrap MS） was used to identify the chemical components of KXS with electrospray ionization（ESI）， negative ion mode and scanning range of m/z 50-2 000. TLC identification methods for Poria and Ginseng Radix et Rhizoma in KXS were established. ResultThere were 11 common peaks in the specific chromatogram of KXS， attributed to Polygalae Radix， Poria and Acori Tatarinowii Rhizoma. Taking peak 9（α-asarone） as the reference peak， the relative standard deviations of the retention times of 15 batches of KXS samples were<0.2%. A total of 34 compounds were identified by UHPLC-LTQ-Orbitrap MS， including terpenoids， phenylpropanoids， oligosaccharides and ketones. The established TLC had good separation and was rapid， reliable， simple， feasible， suitable for the identification of Poria and Ginseng Radix et Rhizoma in KXS. ConclusionThe specific chromatogram and TLC of KXS are stable and reproducible. The material basis of KXS is basically clarified by MS， which can provide a reference for the development and quality control of KXS.