Objective To investigate the association of serum brain-derived neurotrophic factor (BDNF) and methylglyoxal (MG) levels with cognitive function in elderly patients with type 2 diabetes mellitus (T2DM). Methods The normal population and elderly patients with T2DM were frequency-matched by age, sex, and educational level. BDNF was detected by ELISA assay, MG by HPLC assay, and cognitive function by sets of repetitive mental state examination (RBANS) in the two groups. Results (1) Compared with control group, serum BDNF level in T2DM group was significantly decreased [ (4.97±3.05 vs 11.77±7.92)ng /ml, P<0.01]while serum MG level was elevated [(67.91 vs 43.86) nmol /L, P<0.05]. The increasing of serum MG was related to the decreasing of serum BDNF. (2) Compared with control group, the scores for standardized tests of cognitive scale, visual breadth, immediate memory, delayed memory, and attention areas in T2DM group were significantly decreased (all P<0.05). After the influencing factors were adjusted by multiple regression, the associations of serum BDNF level with cognitive scale standardized score, the delay associated with memory and attention functions were still evident, and serum MG level in T2DM group was still related with the levels of delayed memory, immediate memory, total scale standardization (all P<0.05). (3) Serum BDNF level was negatively correlated with serum MG level (P=0.031). Conclusions Cognitive function of elderly patients with T2DM is related with serum MG and BDNF levels. The increased serum MG as well as the decreasd serum BDNF levels maybe involved in the pathogenesis of impaired cognitive function.

OBJECTIVE：To study the effects of berberine on mic e macrophage polarization based on TLR 4-MyD88-NF-κB signaling pathway. METHODS ：Using mice RAW 264.7 macrophage as the object ，atorvastatin calcium as positive control ， inflammatory cell model was induced by lipopolysaccharide （LPS）；ELISA method was used to detect the contents of TNF-α，IL-6 and NF-κB in cell culture medium after treated with low，medium and high doses of berberine （5，10，20 μmol/L）for 24 h. The real-time fluorescence quantitative PCR was conducted to determine the mRNA expression of TLR 4 and MyD 88 in cells. Western blotting assay was used to detect the protein expression of TLR 4，MyD88，iNOS and CD 206 in cells. RESULTS ：Compared with blank control group ，the contents of TNF-α，IL-6 and NF-κB in cell culture medium，mRNA expression of TLR 4 and MyD 88， protein expression of TLR 4，MyD88 and iNOS in cells were increased significantly in LPS induction group （P＜0.05）. Compared with LPS induction group ，the contents of TNF-α and IL-6，mRNA and protein expression of TLR 4 and MyD 88 in atorvastatin calcium group ，berberine medium-dose and high-dose groupsas well as the content of NF-κ B and protein expression of iNOS in administration groups were decreased significantly ， while the content of NF-κB in berberine high-dose group was significantly lower than atorvastatin calcium group （P＜0.05）. The protein expressions of CD206 in atorvastatin calcium group and berberine high-dose group were increased significantly ，while the protein expression of CD 206 in berberine high-dose group was significantly higher than atorvastatin calcium group （P＜0.05）. CONCLUSIONS ：Different doses of berberine can intervene in mice macrophage polarization to different extents ，the mechanism of which may be associated with the regulation of TLR4/MyD88/NF-κB signaling pathway.

Brain-computer interaction (BCI) is a transformative human-computer interaction, which aims to bypass the peripheral nerve and muscle system and directly convert the perception, imagery or thinking activities of cranial nerves into actions for further improving the quality of human life. Magnetoencephalogram (MEG) measures the magnetic field generated by the electrical activity of neurons. It has the unique advantages of non-contact measurement, high temporal and spatial resolution, and convenient preparation. It is a new BCI driving signal. MEG-BCI research has important brain science significance and potential application value. So far, few documents have elaborated the key technical issues involved in MEG-BCI. Therefore, this paper focuses on the key technologies of MEG-BCI, and details the signal acquisition technology involved in the practical MEG-BCI system, the design of the MEG-BCI experimental paradigm, the MEG signal analysis and decoding key technology, MEG-BCI neurofeedback technology and its intelligent method. Finally, this paper also discusses the existing problems and future development trends of MEG-BCI. It is hoped that this paper will provide more useful ideas for MEG-BCI innovation research.
Brain/physiology* ; Brain-Computer Interfaces ; Electroencephalography ; Humans ; Imagery, Psychotherapy ; Magnetoencephalography ; Technology

Brain-computer interface (BCI) is a revolutionary human-computer interaction technology, which includes both BCI that can output instructions directly from the brain to external devices or machines without relying on the peripheral nerve and muscle system, and BCI that bypasses the peripheral nerve and muscle system and inputs electrical, magnetic, acoustic and optical stimuli or neural feedback directly to the brain from external devices or machines. With the development of BCI technology, it has potential application not only in medical field, but also in non-medical fields, such as education, military, finance, entertainment, smart home and so on. At present, there is little literature on the relevant application of BCI technology, the current situation of BCI industrialization at home and abroad and its commercial value. Therefore, this paper expounds and discusses the above contents, which are expected to provide valuable information for the public and organizations, BCI researchers, BCI industry translators and salespeople, and improve the cognitive level of BCI technology, further promote the application and industrial transformation of BCI technology and enhance the commercial value of BCI, so as to serve mankind better.
Brain/physiology* ; Brain-Computer Interfaces ; Electroencephalography ; Humans ; Technology ; User-Computer Interface

Motor imagery (MI) is an important paradigm of driving brain computer interface (BCI). However, MI is not easy to control or acquire, and the performance of MI-BCI depends heavily on the performance of the subjects' MI. Therefore, the correct execution of MI mental activities, ability evaluation and improvement methods play important and even critical roles in the improvement and application of MI-BCI system's performance. However, in the research and development of MI-BCI, the existing researches mainly focus on the decoding algorithm of MI, but do not pay enough attention to the above three aspects of MI mental activities. In this paper, these problems of MI-BCI are discussed in detail, and it is pointed out that the subjects tend to use visual motor imagery as kinesthetic motor imagery. In the future, we need to develop some objective, quantitatively visualized MI ability evaluation methods, and develop some effective and less time-consumption training methods to improve MI ability. It is also necessary to solve the differences and commonness of MI problems between and within individuals and MI-BCI illiteracy to a certain extent.
Algorithms ; Brain-Computer Interfaces ; Electroencephalography ; Humans ; Imagery, Psychotherapy ; Imagination

Deconvolution of potential drug targets of the central nervous system (CNS) is particularly challenging because of the complicated structure and function of the brain. Here, a spatiotemporally resolved metabolomics and isotope tracing strategy was proposed and demonstrated to be powerful for deconvoluting and localizing potential targets of CNS drugs by using ambient mass spectrometry imaging. This strategy can map various substances including exogenous drugs, isotopically labeled metabolites, and various types of endogenous metabolites in the brain tissue sections to illustrate their microregional distribution pattern in the brain and locate drug action-related metabolic nodes and pathways. The strategy revealed that the sedative-hypnotic drug candidate YZG-331 was prominently distributed in the pineal gland and entered the thalamus and hypothalamus in relatively small amounts, and can increase glutamate decarboxylase activity to elevate γ-aminobutyric acid (GABA) levels in the hypothalamus, agonize organic cation transporter 3 to release extracellular histamine into peripheral circulation. These findings emphasize the promising capability of spatiotemporally resolved metabolomics and isotope tracing to help elucidate the multiple targets and the mechanisms of action of CNS drugs.