OBJCTIVE :To investigate the fundus ocu]i changes in hypnxie isehemic encepbalnpa ally(HIE)of new[x,rns. METHODS:One hundred and two newblt;~rns suffered from HIE were investi- gated to observe lhe pathological neular fundus changes by di~et ophthabnoseopy after mydria~s. RE- SULTS:Seventy seven ca.~s(154 eyes)were found to have ophthalmoscopic changes in the ~ular fundi including papilledema .white retina vaseolar abnormality and hemorrhage. CONCLUSIONS:In clinical view .the severity of HIE depends on the pathological ebanges of the brain .and ftmdus ahnormalby will be very often in middle and .~vere sufforers of HIE.
Fifteen rabbits were given a second degree scald on the back, then a large amount of fluid were given rapidly. In this way an acute diluted hyponatremia and a brain edema model were produced. In one group, the magnetotherapy was instituted immediately following the acut injury, while in the other group, it was started after the brain edema being developed. After giving a large quantity of fluid, the Na~+, CI~-, and K~+ concentrations in the blood were decreased and the quantity of water in the brain tissue was increased evidentely. The phenomena of neuron edema and widening of the perivascular space were also found. It was proved that the model of experimental brain edema could be produced on animals and the treatment and the prevention for brain edema could be obtained to advantage to certaiin degree. Also,it was better to use the magnetotherapy in brain edema as early as possidle.
Objective To evaluate the efficacy of recombinant human brain natriuretic peptide (rhBNP) on Chinese patients with congestive heart failure by meta analysis. Methods Both foreign language databases including PubMed, EMbase, The Cochrane Library (Issue 3, 2009) and Chinese databases involving CBM, VIP and CJFD were searched to identify randomized controlled trials (RCTs) that reported the effect of rhBNP on the heart function (left ventricular ejection fraction (LVEF) and the recent level of improvement in cardiac function) and its side effects of Chinese patients with congestive heart failure. Two reviewers assessed the quality of each trial and extracted data independently. The Cochrane Collaboration’s RevMan 4.2.8 software was used for statistical analysis. Results Nineteen RCTs were included, all of which came from internal. The methodological quality of the included studies was good. The baseline data of each trial were comparable. The results of meta-analyses showed: (1) the improvement of LVEF was higher in the rhBNP group than that in the blank control group (WMD=7.22, 95%CI 3.15 to 11.291, P=0.000 5). The level of improvement in cardiac function was better in the rhBNP group than those in the blank control group (OR=5.48, 95%CI 1.61 to 18.65, P=0.007), the nitroglycerin group (OR=3.60, 95%CI 2.02 to 6.41, Plt;0.000 1), and the sodium nitroprusside group (OR=3.21, 95%CI 0.12 to 85.20, P=0.49). The incidence of side effects was lower in the rhBNP group than that in the nitroglycerin group (OR=0.23, 95%CI 0.11 to 0.47, Plt;0.000 1), and the sodium nitroprusside group (OR=0.30, 95%CI 0.11 to 0.82, P=0.02). Moreover, the results of sensitivity analysis were also consistent with the above findings. Conclusion Recombinant human brain natriuretic peptide can effectively improve the hemodynamics and cardiac function level of Chinese population of patients with heart failure. The treatment doses are safe and tolerant, so it is recommended to clinical use.
Objective To explore and compare the diagnostic value of blood pressure, brain natriuretic peptide (BNP), pulmonary artery systolic pressure (PASP) in evaluating right ventricular dysfunction (RVD) in patients with acute pulmonary embolism (APE). Methods A retrospective study was conducted on 84 APE patients who were diagnosed by computed tomographic pulmonary angiography. The patients were divided into a RVD group and a non-RVD group by echocardiography. Eighteen clinical and auxiliary examination variables were used as the research factors and RVD as the related factor. The relationship between these research factors and RVD were evaluated by logistic regression model, the diagnostic value of BNP and PASP to predict RVD was analyzed by receiver-operating characteristic (ROC) curve analysis. Results The patients with RVD had more rapid heart rate, higher diastolic blood pressure, higher mean arterial pressure, higher incidence of BNP>100 pg/ml and higher incidence of PASP>40 mm Hg (allP<0 05="" upon="" logistic="" regression="" model="" bnp="">100 pg/ml (OR=4.904, 95%CI 1.431–16.806, P=0.011) and PASP>40 mm Hg (OR=6.415, 95%CI 1.509–27.261, P=0.012) were independent predictors of RVD. The areas under the ROC curve to predict RVD were 0.823 (95%CI 0.729–0.917) for BNP, and 0.798 (95%CI 0.700–0.896) for PASP. Conclusions Blood pressure related parameters can not serve as a predictor of RVD. Combined monitoring of BNP level and PASP is helpful for accurate prediction of RVD in patients with APE.
Developmental and epileptic encephalopathy (DEE) is a group of diseases that severely affects the neurological development of children, characterized by frequent seizures and significant neurodevelopmental impairments. These diseases not only impact the quality of life of affected children but also impose a heavy burden on families and society. In recent years, the development of brain network theory has provided a new perspective on understanding the pathological mechanisms of DEE, especially the role of structural and functional brain networks in the process of epilepsy. This review systematically summarized the research progress of structural and functional brain networks in DEE, highlighted their importance in seizure activity, disease progression, and prognosis evaluation.
In recent years, the ongoing development of transcranial electrical stimulation (TES) and transcranial magnetic stimulation (TMS) has demonstrated significant potential in the treatment and rehabilitation of various brain diseases. In particular, the combined application of TES and TMS has shown considerable clinical value due to their potential synergistic effects. This paper first systematically reviews the mechanisms underlying TES and TMS, highlighting their respective advantages and limitations. Subsequently, the potential mechanisms of transcranial electromagnetic combined stimulation are explored, with a particular focus on three combined stimulation protocols: Repetitive TMS (rTMS) with transcranial direct current stimulation (tDCS), rTMS with transcranial alternating current stimulation (tACS), and theta burst TMS (TBS) with tACS, as well as their clinical applications in brain diseases. Finally, the paper analyzes the key challenges in transcranial electromagnetic combined stimulation research and outlines its future development directions. The aim of this paper is to provide a reference for the optimization and application of transcranial electromagnetic combined stimulation schemes in the treatment and rehabilitation of brain diseases.
Objective To study the relationship between the expression ratio of induced nitric oxide synthase (iNOS) over glial fibrillary acidic protein (GFAP) and the time of injury after brain concussion in rat, in order to acquire a new visual angle for determining injury time of cerebral concussion. Methods Eighty-five healthy Sprague-Dawley rats were divided into three groups randomly: model group (n=25), experimental group (n=55), and control group (n=5). The rats in the model group were used to confirm the attack hight to make the model of brain concussion; according to the time of execution, rats in the experimental group were then subdivided into 11 groups with 5 rats in each subgroup, and their execution time was respectively hour 0.5, 1, 3, 6, 12, 24, 48, 96, 168, 240, and 336; the rats in the control group were executed after fed for 24 hours. After the model of cerebral concussion was established through freefalling dart method, hematoxylin-eosin staining and immunohistochemistry staining of iNOS and GFAP were conducted for the brain of the rats. All related experimental results were studied by using microscope with image analytical system and homologous statistics. Results The ratio of positive expression of iNOS over that of GFAP increased gradually during hour 0.5- 3 after injury in brain (from 5.03 to 10.47). At the same time, the positive expression of iNOS increased significantly (from 14.61% to 37.45%). However, the increase of the positive expression of GFAP was not obvious. Between hour 3 and 12, the ratio began to decline to 4.98, which was still at a high level, and during the same time period, the positive expressions of iNOS and GFAP also experienced the same change pattern. Later, the ratio began to decline between hour 12 and 336 after injury (from 4.98 to 0.95). All ratios at this time were lower than those between hour 0.5 and 12. The positive expression of iNOS and GFAP both increased to a climax before declining. Conclusions The ratio of positive expression of iNOS over GFAP and the respective change pattern of iNOS and GFAP can be used as the evidence of estimating the injury time of cerebral concussion. We can use the ratio of two or more markers to provide a new visual angle for concluding the concussion injury time.
The electroencephalogram (EEG) signal is the key signal carrier of the brain-computer interface (BCI) system. The EEG data collected by the whole-brain electrode arrangement is conducive to obtaining higher information representation. Personalized electrode layout, while ensuring the accuracy of EEG signal decoding, can also shorten the calibration time of BCI and has become an important research direction. This paper reviews the EEG signal channel selection methods in recent years, conducts a comparative analysis of the combined effects of different channel selection methods and different classification algorithms, obtains the commonly used channel combinations in motor imagery, P300 and other paradigms in BCI, and explains the application scenarios of the channel selection method in different paradigms are discussed, in order to provide stronger support for a more accurate and portable BCI system.
ObjectiveTo investigate the effect of intravitreal injection of neural stem cells (NSC) derived from human umbilical cord mesenchymal stem cells (hUCMSC) on the expression of brain-derived neurotrophic factor (BDNF) and the number of retinal ganglion cells (RGC). MethodsFifty-two adult male Sprague-Dawley rats were randomly divided into normal group (group A) and diabetes mellitus group which received intraperitoneal injection of streptozocin to make diabetic rat models. One month after the diabetic rat models were confirmed successfully, diabetic rats were randomly divided into diabetic group (group B), hUCMSC group (group C) and hUCMSC-induced NSC group (group D). And thirteen diabetic rats were included in each group. Immuno-cytochemistry was applied to observe BDNF and thymosin-1(Thy-1) staining in the retina. Then mean integrated absorbance of the staining region on the retina slices were analyzed by Image-Pro Plus 6.0. The number of Thy-1 labeled RGC was record. ResultsBDNF and Thy-1 were positive on the retina slices from group A. The staining intensity from group B became weak and the expression of BDNF and Thy-1 gradually decrease with time (P < 0.05), and those from group C and group D were positively (P < 0.05), especially in group D (P < 0.05). The BDNF expression and Thy-1 labeled RGC were the same between group B and C (P > 0.05) at 2 weeks after injection, but were significant different for other time points (P < 0.05).Significant positive correlation between the expression of BDNF and the number of RGC were found by the Pearson correlation analysis (r=0.964, P < 0.05). ConclusionIntravitreal injection of hUCMSC-derived NSC to diabetic rat may protect the retina by promoting the expression of BDNF and increasing the number of RGC.
In the field of brain-computer interfaces (BCIs) based on functional near-infrared spectroscopy (fNIRS), traditional subject-specific decoding methods suffer from the limitations of long calibration time and low cross-subject generalizability, which restricts the promotion and application of BCI systems in daily life and clinic. To address the above dilemma, this study proposes a novel deep transfer learning approach that combines the revised inception-residual network (rIRN) model and the model-based transfer learning (TL) strategy, referred to as TL-rIRN. This study performed cross-subject recognition experiments on mental arithmetic (MA) and mental singing (MS) tasks to validate the effectiveness and superiority of the TL-rIRN approach. The results show that the TL-rIRN significantly shortens the calibration time, reduces the training time of the target model and the consumption of computational resources, and dramatically enhances the cross-subject decoding performance compared to subject-specific decoding methods and other deep transfer learning methods. To sum up, this study provides a basis for the selection of cross-subject, cross-task, and real-time decoding algorithms for fNIRS-BCI systems, which has potential applications in constructing a convenient and universal BCI system.