Construction of an epileptic seizure prediction model using a semi-supervised method of generative adversarial and long short term memory network combined with Stockwell transform / 南方医科大学学报

OBJECTIVE@#To propose a semi-supervised epileptic seizure prediction model (ST-WGAN-GP-Bi-LSTM) to enhance the prediction performance by improving time-frequency analysis of electroencephalogram (EEG) signals, enhancing the stability of the unsupervised feature learning model and improving the design of back-end classifier.@*METHODS@#Stockwell transform (ST) of the epileptic EEG signals was performed to locate the time-frequency information by adaptive adjustment of the resolution and retaining the absolute phase to obtain the time-frequency inputs. When there was no overlap between the generated data distribution and the real EEG data distribution, to avoid failure of feature learning due to a constant JS divergence, Wasserstein GAN was used as a feature learning model, and the cost function based on EM distance and gradient penalty strategy was adopted to constrain the unsupervised training process to allow the generation of a high-order feature extractor. A temporal prediction model was finally constructed based on a bi-directional long short term memory network (Bi-LSTM), and the classification performance was improved by obtaining the temporal correlation between high-order time-frequency features. The CHB-MIT scalp EEG dataset was used to validate the proposed patient-specific seizure prediction method.@*RESULTS@#The AUC, sensitivity, and specificity of the proposed method reached 90.40%, 83.62%, and 86.69%, respectively. Compared with the existing semi-supervised methods, the propose method improved the original performance by 17.77%, 15.41%, and 53.66%. The performance of this method was comparable to that of a supervised prediction model based on CNN.@*CONCLUSION@#The utilization of ST, WGAN-GP, and Bi-LSTM effectively improves the prediction performance of the semi-supervised deep learning model, which can be used for optimization of unsupervised feature extraction in epileptic seizure prediction.

Induced pluripotent stem cell-derived exosome attenuates the inflammatory response in microglia / 中华急诊医学杂志

Objective:To investigate the effects of induced pluripotent stem cell-derived exosome (iPSC-Exo) on releasing inflammatory factors from microglia induced by lipopolysaccharide (LPS).Methods:iPSC derived from the tubular epithelial cells of sepsis encephalopathy patients were resuscitated and cultured. The iPSC-Exo was isolated by low-temperature ultracentrifugation and analyzed by transmission electron microscopy, Western blot and high sensitivity flow cytometry (HSFCM). Based on the concentration of iPSC-Exo, human microglia line HMO6 cells activated by LPS (100 ng/mL) were divided into four groups randomly: LPS+ phosphate buffer solution (PBS) group, LPS+iPSC-Exo 10 5 group, LPS+iPSC-Exo 10 6 group and LPS+iPSC-Exo 10 7 group. The control group was added equal PBS but not LPS. After culture for 24 h, the concentrations of malondialdehyde in cells were detected. Quantitative RT-PCR was used to measure the mRNA expression levels of macrophage inflammatory protein 2 (MIP2), tumor necrosis factor-α (TNF-α), interleukin (IL)-1β and IL-6 in the cells and enzyme-linked immunosorbent assay (ELISA) was used to assess the concentration of these cytokines in the supernatant. Under the same concentration of iPSC-Exo, one-way ANOVA and SNK- q test were used for comparison between groups. Results:The extracts showed spherical membrane structure by transmission electron microscopy. HSFCM showed the mean diameter of the extracts was (74.66±15.60) nm and the concentration around 2.98×10 10/mL. Western blot analysis showed high expression of exosome markers CD63, Alix and TSG101, but not GM130. Intracellular MDA concentration and mRNA expression levels and protein concentration of MIP2, TNF-α, IL-1β and IL-6 in the LPS+PBS group were significantly higher than those in the control group (all P<0.01). With the increase of iPSC-Exo concentration, the intracellular MDA concentration decreased gradually ( P<0.01), the mRNA expression levels of inflammatory factors showed a gradual downward trend (all P<0.05). Each inflammatory cytokine in the supernatant declined in a manner that was almost consistent with mRNA. Concentrations of MDA remained constant in the control group. Conclusions:iPSC-Exo derived from the tubular epithelial cells of sepsis encephalopathy patients alleviate oxidative stress and inflammation effect of microglia induced by LPS, and the modulatory effect is dose-dependent.

GC-MS method for the determination of the genotoxic impurity chlorocyclohexane in trihexyphenidyl hydrochloride bulk drug / 中国药科大学学报

@#Gas chromatography-mass spectrometry (GC-MS) method was established for trace analysis of the potential genotoxic impurity chlorocyclohexane in trihexyphenidyl hydrochloride bulk drug, utilizing an RXI-5SIL MS column at isothermal temperature of 60 °C for the entire 6-minute run time.The inlet temperature was 180 °C and a split ratio of 10∶1 was used with the injection volume of 1.0 μL.The selective ion monitoring mode was set at m/z 82 for chlorocyclohexane with a detector voltage of 0.3 kV and an ion source temperature of 240 °C.The method was verified with respect to specificity, limit of detection (LOD), limit of quantitation (LOQ), accuracy, precision and robustness.Good linear correlation was achieved with coefficient r of 0.999 9 in the concentration range of 59.72-493 ng/mL.The intra- and inter-day precision was satisfactory (RSD ≤ 5.0%) and robust (RSD ≤ 1.65%).The proposed method in this study can be adequately adopted as a tool for quality assurance of trihexyphenidyl hydrochloride in routine test of potential genotoxic impurity.

Noise attenuation analysis on auditory evoked potential based on maximum length sequence / 生物医学工程学杂志

The maximum length sequence (m-sequence) has been successfully used to study the linear/nonlinear components of auditory evoked potential (AEP) with rapid stimulation. However, more study is needed to evaluate the effect of the m-sequence order in terms of the noise attenuation performance. This study aimed to address this issue using response-free electroencephalogram (EEG) and EEGs with nonlinear AEPs. We examined the noise attenuation ratios to evaluate the noise variation for the calculations of superimposed averaging and cross-correlation, respectively, which constitutes the main process in the deconvolution method using the dataset of spontaneous EEGs to simulate the cases of different orders (order 5 to 12) of m-sequences. And an experiment using m-sequences of order 7 and 9 was performed in true cases with substantial linear and nonlinear AEPs. The results demonstrate that the noise attenuation ratio is well agreed with the theoretical value derived from the properties of m-sequences on the random noise condition. The comparison of waveforms for AEP components from two m-sequences showed high similarity suggesting the insensitivity of AEP to the m-sequence order. This study provides a more comprehensive solution to the selection of m-sequences which will facilitate the feasible application on the nonlinear AEP with m-sequence method.

Instantaneous energy spectrum analysis for frequency following response of speech evoked brainstem response / 生物医学工程学杂志

Speech evoked brainstem responses (s-ABRs) elicited by a speech syllable /da/ are composed of four parts: onset response (OR), transitional response, frequency following response (FFR) and offset response. FFR elicited by periodic events behaves like a quasi-periodic waveform corresponding to the stimulus sounds. The fast Fourier transform based spectra are commonly used to exam the characteristics of s-ABR in practice, which is, however, unable to trace the occurrence of the main components of s-ABR. The FFR is usually not obvious in the original individual s-ABR waveform. In this paper, we proposed a novel approach to observe the FFR by an instantaneous energy spectrum performed on the intrinsic mode functions (IMFs) after empirical mode decomposition (EMD) of the s-ABR. We demonstrated that the FFR is most pronounced on the second layer of IMFs. This finding suggests a new way which may be available to characterize and to detect the FFR better. This will benefit the clinic applications of s-ABRs.

Effects of ethyl acetate extract of Semen Hoveniae on liver microsomal cytochrome P450 isoenzyme in rat / 中国中药杂志

<p><b>OBJECTIVE</b>To investigate the effects of the ethyl acetate extract of Semen Hoveniae (ESH) on liver microsomal cytochrome P450 isoenzyme in rats.</p><p><b>METHOD</b>The rats were given orally the ESH in the doses of 0.14, 0.17, 0.2 g x kg (equivalent to the crude herb) for 10 days respectively. Rat liver microsomal cytochrome P450, NADPH-Cyt C reductase, erythromycin N-demethylase (ERD), Aniline hydroxylase (ANH), aminopyrine N-demethylase (ADM) activities were quantitated by UV chromatography. The levels of mRNA expression of CYP1A1, CYP2C11, CYP2E1 and CYP3A1 were detected by semi-quantitative reverse transcripatase-polymerase chain reaction (RT-PCR).</p><p><b>RESULT</b>The cytochrome P450 content, NADPH-Cyt C reductase activities and erythromycin N-demethylase (ERD) activities were not affected. Aniline hydroxylase (ANH) activities in liver were decreased by up to35.1%; aminopyrine N-demethylase (ADM) activitiesin liver were increased by up to 42.4%. The mRNA expression of CYP1A1, CYP2C11 and CYP3A1 were found to be increased markedly.</p><p><b>CONCLUSION</b>A specific effect of ESH on liver microsomal cytochrome P450 isoenzyme in rats was observed in this investigation. ESH had various effects on liver microsomal cytochrome P450 isoenzyme.</p>

Vector propagation algorithm based ECG simulation of bundle branch block / 生物医学工程学杂志

The simulation of excitation propagation's process in human heart is one of the main aspects of ECG forward problem. The simulation results not only are the criterion of the simulation model's precision and reliability, but also have great value in researches and diagnoses. We performed the simulation of QRST waves of complete left bundle branch block (LBBB) and right bundle branch block (RBBB) in virtue of a vector propagation algorithm (VPA), which is accurate, efficient and applicable to anisotropic computer heart models. The simulation results accord with the actual QRST wave in clinical practice.