The incidence of tinnitus is very high, which can affect the patient’s attention, emotion and sleep, and even cause serious psychological distress and suicidal tendency. Currently, there is no uniform and objective method for tinnitus detection and therapy, and the mechanism of tinnitus is still unclear. In this study, we first collected the resting state electroencephalogram (EEG) data of tinnitus patients and healthy subjects. Then the power spectrum topology diagrams were compared of in the band of δ (0.5–3 Hz), θ (4–7 Hz), α (8–13 Hz), β (14–30 Hz) and γ (31–50 Hz) to explore the central mechanism of tinnitus. A total of 16 tinnitus patients and 16 healthy subjects were recruited to participate in the experiment. The results of resting state EEG experiments found that the spectrum power value of tinnitus patients was higher than that of healthy subjects in all concerned frequency bands. The t-test results showed that the significant difference areas were mainly concentrated in the right temporal lobe of the θ and α band, and the temporal lobe, parietal lobe and forehead area of the β and γ band. In addition, we designed an attention-related task experiment to further study the relationship between tinnitus and attention. The results showed that the classification accuracy of tinnitus patients was significantly lower than that of healthy subjects, and the highest classification accuracies were 80.21% and 88.75%, respectively. The experimental results indicate that tinnitus may cause the decrease of patients’ attention.
Seizures during sleep increase the probability of complication and sudden death. Effective prediction of seizures in sleep allows doctors and patients to take timely treatments to reduce the aforementioned probability. Most of the existing methods make use of electroencephalogram (EEG) to predict seizures, which are not specific developed for the sleep. However, EEG during sleep has its characteristics compared with EEG during other states. Therefore, in order to improve the sensitivity and reduce the false alarm rate, this paper utilized the characteristics of EEG to predict seizures during sleep. We firstly constructed the feature vector including the absolute power spectrum, the relative power spectrum and the power spectrum ratio in different frequencies. Secondly, the separation criterion and branch-and-bound method were applied to select features. Finally, support vector machine classifier were trained, which is then employed for online prediction. Compared with the existing method that do not consider the characteristics of sleeping EEG (sensitivity 91.67%, false alarm rate 9.19%), the proposed method was superior in terms of sensitivity (100%) and false alarm rate (2.11%). This method can improve the existing epilepsy prediction methods and has important clinical value.
The pachychoroid spectrum disorders (PSD) refers to a group of clinical disorders characterized by common features of pathological choroidal thickening and potential pathogenic mechanisms. The pathological mechanism of PSD is very complex, and the theory of venous overload provides valuable research directions. The multimodal imaging technology represented by optical coherence tomography angiography has continuously evolved to provide clear and three-dimensional images of the fundus, making it easier to diagnose and monitor PSD at an early stage. There is no unified consensus on how to develop a treatment plan for PSD, and current research has shown that feasible treatments include drug therapy, laser photocoagulation therapy, and photodynamic therapy. However, the evidence of effectiveness and safety provided by these studies is still not sufficient. Surgery and integrative Chinese and Western medicine may provide new prospects for the treatment of PSD. In the future, it is necessary to further develop reasonable research programs, expand the sample size, strengthen follow-up observation, and provide more safe and effective treatment programs for patients.
ObjectiveTo provide reference for further treatment by analyzing the relationship between mutant genes of breast cancer and histological classification and molecular typing of breast cancer.MethodsRetrospectively collectted the pathological specimens of 46 breast cancer patients who treated by the Dongguan Maternal and Child Health Hospital and the Dongguan Houjie Hospital between February 2016 and August 2017 without chemotherapy. Among the selected 46 breast cancer patients, we detected tumor tissue estrogen receptor (ER)/ pregnancy hormone receptor (PR)/human epidermal growth factor receptor-2 (HER-2) status by immunohistochemistry and classified the pathological tissue section. By using multiple PCR techniques, we detected 207 hot mutation regions of the 50 extended tumor-related genes on the semiconductor sequencing platform.ResultsThere were 8 cases of grade Ⅰ, 18 cases of grade Ⅱ, 20 cases of grade Ⅲ in 46 breast cancer patients according to histological grade. Of the 46 cases, there were 23 cases of Luminal B, 9 cases of Luminal A, 9 cases of HER-2 (+), 5 cases of type besal-like according to ER/PR/HER-2 expression status. Moreover, we found that there were 33 gene locus mutations of 8 genes, including AKT1, APC, BRAF, CDKN2A, KRAS, PTEN, PIK3CA, and TP53. Among of them, the mutation of PIK3CA gene took the most of 24 cases, followed by TP53 (18 cases), 2 cases of CDKN2A gene mutation, and 1 case in the remaining four types of genes respectively. we found that the gene mutations of breast cancer were not related to the histological classification and molecular type (P>0.05), the PIK3CA gene mutation was related to the histological classification of breast cancer, the lower the histological classification level, the higher PIK3CA gene mutation rate (P<0.05). TP53 gene mutation was not related to histological grading and molecular type (P>0.05).Conclusions The PIK3CA gene mutation rate in patients with histological grading Ⅰ level increased significantly. The combination of PIK3CA gene mutation and histological grading of breast cancer may become a molecular biological indicator to judge the degree of malignancy and prognosis of breast cancer.
The present research aims to point out the long-existing defect of analyzing the spectrum diagram only from the perspective of haemodynamics instead of haemorheology. In the light of the theories of haemodynamics and haemorheology, the causes of spectrum diagram formation of carotid artery blood at the rapid and slow flow can be clarified completely and accurately. Four conclusions have been drawn in the end. As long as the velocity gradient is large enough, obvious red blood cells concentrate to the shaft even in the big or bigger blood vessels; the spectrum diagram is the powerful proof of the two phase flow model of blood; the spectrum diagram can be completely and accurately analyzed only by combining haemodynamics with haemorheology; and only when the red blood cells concentrate to the shaft, the big or bigger blood vessels can be regarded as haemogeneous fluid.
ObjectiveTo investigate the feasibility of electroencephalography (EEG) power spectrum analysis monitoring noninvasive intracranial pressure (ICP). MethodsBetween September 2008 and May 2009, the EEG signals were recorded in 62 patients (70 cases/times) with central nervous system (CNS). By using self-designed software, EEG power spectrum analysis was conducted and pressure index (PI) was calculated automatically. ICP was measured by lumbar puncture (LP). ResultsThe mean ICP was (239.74±116.25) mm H2O (70-500 mm H2O, 1 mm H2O=0.009 8 kPa), and 52.9% of patients had increased ICP. The mean PI was 0.29±0.20 (0.02-0.85). The Spearman rank test showed that there was a significant negative correlation between PI and ICP (rs=-0.849, P<0.01). The data from the patients with diffuse lesions of CNS and focal lesions were analyzed separately; the results showed there were significant negative correlations between PI and ICP in both groups (rs=-0.815, -0.912; P<0.01). ConclusionThe PI obtained from EEG analysis is correlated with ICP. Analysis of specific parameters from EEG power spectrum might reflect the ICP. Further research should be carried out.
Neuromyelitis optica spectrum disorder (NMOSD) is a rare debilitating autoimmune disease of the central nervous system. Three monoclonal antibodies were recently approved as maintenance therapies for aquaporin-4 immunoglobulin G (AQP4-IgG) seropositive NMOSD (eculizumab, inebilizumab, and satralizumab). Neurol Neuroimmunol Neuroinflamm published international Delphi consensus on the management of AQP4-IgG+ NMOSD in May 31, 2023. Twenty-five statements reached consensus after two voting rounds by 24 Delphi panel experts. Inebilizumab and satralizumab have been listed in China, and off-label immunosuppressants and biologics are also used in clinical practice. However, there are no standard treatment recommendations in use of these biologics and maintenance therapy of NMOSD. Therefore, the interpretation of this consensus, focusing on the initial use of monoclonal drugs, the conversion between monoclonal drugs and immunosuppressants, as well as the application and safety of special populations, is conducive to improving the normative and effective use of of monoclonal drugs in NMOSD y ophthalmologists and neurologists
In order to address the problem of traditional dolphin adjuvant therapy such as high cost and its limitation in time and place, this paper introduces a three-dimensional virtual dolphin adjuvant therapy system based on virtual reality technology. By adopting Oculus wearable three-dimensional display, the system combined natural human-computer interaction based on Leap Motion with high-precision gesture recognition and cognitive training, and achieved immersive three-dimensional interactive game for child rehabilitation training purposes. The experimental data showed that the system can effectively improve the cognitive and social abilities of those children with autism spectrum disorder, providing a useful exploration for the rehabilitation of those children.
The multi-fractal de-trended fluctuation analysis was used to estimate the mental stress in the present study. In order to obtain the optimal fractal order of the multi-fractal de-trended fluctuation analysis, we analyzed the relationship between singular index and Hurst index with order. We recorded the electroencephalogram (EEG) of 14 students, compared the relationship between singular index, Hurst index and quality index, ensured the optimal order being [—5, 5] and achieved the estimation of mental stress with the β wave in the EEGs. The result indicated that Hurst index and quality index of the EEGs under mental stress were greater than those of EEGs in the relaxing state. The Hurst index was gradually decreasing with the order increasing and was finally approaching a constant, while the quality index was amplified and variation of amplitude of the singular index was more obvious. We also compared the amplitude and the width of singular spectrum of the EEGs under the two conditions, and results indicated that the characteristics of multi-fractal spectrum of the EEGs under different conditions were different, namely the width of singular spectrum of the EEGs under mental stress was greater than that under relax condition.
ObjectiveTo systematically review the association between maternal folate supplementation during pregnancy and the risk of autism spectrum disorder (ASD) in the offspring.MethodsPubMed, EMbase, Web of Science, The Cochrane Library, Scopus, CNKI, WanFang Data, VIP and CBM databases were electronically searched to collect case-control and cohort studies on the association between maternal folate supplementation during pregnancy and the risk of ASD in the offspring from inception to December 2020. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Meta-analysis was then performed using RevMan 5.3 and Stata 14.0 software.ResultsA total of 17 studies involving 10 812 cases and 876 241 controls were included. The results of meta-analysis showed that there was no significant association between maternal folate supplementation during pregnancy and the risk of ASD in the offspring in the total population. The subgroup analysis revealed that maternal folate supplementation during pregnancy was statistically associated with a reduced risk of ASD in the offspring in the Asian population (OR=0.71, 95%CI 0.53 to 0.96, P=0.03). However, there were no statistical correlations in European and American populations.ConclusionsCurrent evidence shows that maternal folate supplementation during pregnancy may reduce the risk of ASD in the offspring in the Asian population. Due to limited quality and quantity of the included studies, more high-quality studies are required to verify the above conclusions.