The dysfunction of subthalamic nucleus is the main cause of Parkinson's disease. Local field potentials in human subthalamic nucleus contain rich physiological information. The present study aimed to quantify the oscillatory and dynamic characteristics of local field potentials of subthalamic nucleus, and their modulation by the medication therapy for Parkinson's disease. The subthalamic nucleus local field potentials were recorded from patients with Parkinson's disease at the states of on and off medication. The oscillatory features were characterised with the power spectral analysis. Furthermore, the dynamic features were characterised with time-frequency analysis and the coefficient of variation measure of the time-variant power at each frequency. There was a dominant peak at low beta-band with medication off. The medication significantly suppressed the low beta component and increased the theta component. The amplitude fluctuation of neural oscillations was measured by the coefficient of variation. The coefficient of variation in 4-7 Hz and 60-66 Hz was increased by medication. These effects proved that medication had significant modulation to subthalamic nucleus neural oscillatory synchronization and dynamic features. The subthalamic nucleus neural activities tend towards stable state under medication. The findings would provide quantitative biomarkers for studying the mechanisms of Parkinson's disease and clinical treatments of medication or deep brain stimulation.
Antiparkinson Agents ; therapeutic use ; Beta Rhythm ; Electrodes ; Evoked Potentials ; Humans ; Oscillometry ; Parkinson Disease ; drug therapy ; physiopathology ; Subthalamic Nucleus ; physiopathology ; Theta Rhythm

In order to research into the relationship between atrial natriuretic peptide (ANP), aldosterone (Aldo) and pregnancy-induced hypertension (PIH), as well as normal pregnancy, the plasma concentrations of ANP and Aldo from normal pregnant women. PIH patients and their fetuses were measured by radioimmunoassay. It was found that maternal venous Aldo and ANP were higher in normal pregnant women than those in non-pregnant women. The plasma ANP was higher in PIH patients than that in normal pregnant women while plasma Aldo was lower. The plasma concentration of ANP was higher in the fetuses of PIH patients than that in the normal controls, but Aldo was lower. It is concluded that ANP concentration correlates significantly to the severity of PIH, and may be used for an early diagnosis of PIH.

Pathological neural activity in subthalamic nucleus (STN) is closely related to the symptoms of Parkinson' s disease. Local field potentials (LFPs) recordings from subthalamic nucleus show that power spectral peaks exist at tremor, double tremor and tripble tremor frequencies, respectively. The interaction between these components in the multi-frequency tremor may be related to the generation of tremor. To study the linear and nonlinear relationship between those components, we analyzed STN LFPs from 9 Parkinson's disease patients using time frequency, cross correlation, Granger casuality and bi-spectral analysis. Results of the time-frequency analysis and cross-frequency correlation analysis demonstrated that the power density of those components significantly decreased as the alleviation of tremor and cross-correlation (0.18-0.50) exists during tremor period. Granger causality of the time-variant amplitude showed stronger contribution from tremor to double tremor components, and contributions from both tremor and double tremor components to triple tremor component. Quadratic phase couplings among these three components were detected by the bispectral approaches. The linear and nonlinear relationships existed among the multi-components and certainly confirmed that the dependence cross those frequencies and neurological mechanism of tremor involved complicate neural processes.
Action Potentials ; Electromyography ; Humans ; Parkinson Disease ; physiopathology ; Subthalamic Nucleus ; physiopathology ; Tremor ; physiopathology

Objective To explore the efficacy and clinical value of texture analysis of conventional MRI image for the preoperative classification of meningiomas. Methods The MR images of 101 meningioma cases were retrospectively analyzed, all of them underwent routine MRI before operation, and confirmed by surgery and pathology,of whom 81 cases in WHO Ⅰ,19 cases in Ⅱand 1 case in Ⅲ.The maximum diameter of the tumor in MRI images was outlined as ROI by the Image J software.The histograms and grey-level co-occurrence matrix(GLCM)were used to measure the texture parameters,such as maximum value,minimum value,standard deviation(SD),skewness,kurtosis,angular second moment,contrast,inverse different moment, entropy, correlation and so on, and compared with postoperative pathological grading results.The independent sample t test or the Mann-Whitney U test was used to compare the difference of the histogram and the gray level co-occurrence matrix parameter of the MRI images between low-grade and high-grade meningiomas. ROC curves for statistically significant parameters were used to confirm their efficacy in predicting the preoperative grade of meningiomas.Results (1)In histogram parameters,the SDs of T2WI,FLAIR,ADC(SDT2WI,SDFLAIR,SDADC)of low grade meningioma were 14.764(10.928,17.932),9.753 (7.385,13.618) and 12.171 (9.138,19.691), the high grade meningiomas were 19.252 (13.580,25.715), 13.568 (8.936,17.108) and 16.636 (13.166,21.498), respectively. The difference between the two groups was statistically significant(Z values were-2.863,-2.250,-2.247,P respectively 0.004,0.024,0.025).The skewness values (SkeADC, SkeFLAIR) of ADC sequence and FLAIR sequence of low-grade meningiomas were 1.377 ± 1.172 and-1.327 ± 0.930, respectively, and the high-grade meningiomas were 2.503 ± 1.613 and-0.827±0.834,respectively.The differences between the two groups were statistically significant (t values were-2.196,-3.129, P values were 0.002,0.030, respectively). (2) In the GLCM parameters, entropy (EntT1WI, EntT2WI, EntFLAIR, EntADC) of the enhanced T1WI, T2WI, FLAIR and ADC sequences of low grade meningiomas were 6.881(6.174,7.305),6.534±0.598,6.019±0.588,6.040±0.588,high-grade meningiomas were 7.079 (6.742,7.739), 7.014 ± 0.514,6.370 ± 0.703,6.576 ± 0.450, respectively. And the difference between the two groups was statistically significant (Z=-2.007, t values were-3.294,-2.327,-3.245, P values were 0.045,0.001,0.022,0.002,respectively).(3)The ROC curves of EntADCand SkeADCwere plotted, and the area under the curve(AUC)was 0.768 and 0.710,respectively.Combined EntADC,SkeADCand EntT2WI were the best for the classification of meningiomas,and AUC was 0.799.Conclusion Texture analysis can provide more quantification information, which can be more accurately distinguishing high grade meningiomas and low grade meningiomas before surgery.

BACKGROUND:Minipigs are often used in research fields such as skin injury,vascular trauma and cosmetic medicine because they are highly similar to human beings in terms of skin tissue structure and cardiovascular system.Hydrogel as a wound repair drug possesses a variety of excellent physicochemical properties such as strong water retention and adhesion,which can provide isolation moisturization and drug release for wounds. OBJECTIVE:To summarize and conclude the progress of the application of trauma models for different experimental purposes of hydrogel therapy for minipigs,to reveal the development status of various types of minipig trauma models,to analyze the deficiencies of minipig trauma models at the present stage. METHODS:The relevant articles published in Web of Science database and CNKI database from the establishment of each database to 2023 were checked,using"piglet,miniature pig,minipig,miniature pig;gel,hydrogel;trauma,injury,wound,lesion,incision"as Chinese search terms and"Miniature Swine,Miniature pig,minipig;gel,hydrogel;injury,wound,lesion,incision"as English search terms.A total of 438 Chinese and English documents were retrieved,and 59 documents were included in the study through the inclusion and exclusion criteria. RESULTS AND CONCLUSION:(1)At present,the main models used clinically for trauma repair are large animal species(dogs and pigs),rabbits,and rodents(rats and mice).Because the skin structure of the minipig is more like that of humans,the minipig is the most ideal animal model for trauma repair.(2)In the in-vitro skin injury model,skin defect model is the basic wound model,which can be divided into full skin defect model and medium-thickness skin defect model according to the depth of the wound defect.Burn wound model and infected wound model are multidimensional models with hot metal scald and bacterial culture imposed on the basis of the skin defect model,which have the advantages of high safety coefficient and low operation difficulty.(3)In the in-vivo trauma repair model,mini-pigs are used as esophageal cricothyrotomy model which is more in line with the pathological state of clinical diseases.Mini-pigs are used in the gastric perforation and vascular hemostasis model,which can visually demonstrate the stronger organ adhesion,hemostatic properties and tissue regeneration-promoting effects of the hydrogel.(4)The specific parts of the pig also has the corresponding mode of use:pig ear is usually used to evaluate the hydrogel drug delayed-release effect.Porcine cellular proteins and pig skin collagen are mostly used to prepare composite hydrogels of tissue origin.

A spatial-temporal convolutional neural network-based method is proposed for schizophrenia classification.Unlike the mainstream methods that only analyze the temporal frequency features in EEG and ignore the spatial features between brain regions,the model mainly obtains the spatial-frequency features by convolving the adjacency matrix composed of wavelet coherence coefficients between different channels and EEG sequences,and then extracts the temporal-frequency features through one-dimensional temporal convolution.The processed matrix is flattened after multiple convolutions and input to the classification model.Experimental results show that the method has a classification accuracy of 96.32%on the publicly available dataset Zenodo,demonstrating its effectiveness and exhibiting the advantages of fusing temporal-frequency and spatial-frequency features for schizophrenia diagnosis.