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.
Patients with brain metastases are more prone to developing life-threatening neurological symptoms. Initial therapies include surgery, whole brain radiotherapy (WBRT), and stereotactic radiotherapy. With the progress of stereotactic radiotherapy, the indication of stereotactic radiosurgery (SRS) is gradually expanding, and the indications for surgery and WBRT gradually narrowed. The existing studies have shown that SRS can significantly benefit patients who are <50 years old with single brain metastasis, but the specific scope of the application with SRS is still controversial, and a large number of the phase Ⅲ randomized multicenter trials designed around the controversies are also developing. This review summarizes the results of clinical research and came to the conclusion. Firstly, postoperative adjuvant SRS in the treatment of brain metastases is superior to postoperative adjuvant WBRT. Secondly, using SRS in the elderly patients with multiple brain metastases are safe and effective. Thirdly, the use of targeted therapy in patients with brain metastases thereby delaying SRS may lead to poor prognosis. The focus of future research include selection of optimal timing for adjuvant targeted therapy after SRS and the appropriate patient population, as well as prevention of recurrence and metastasis after lacal treatment.
Motor imagery (MI) is a mental process that can be recognized by electroencephalography (EEG) without actual movement. It has significant research value and application potential in the field of brain-computer interface (BCI) technology. To address the challenges posed by the non-stationary nature and low signal-to-noise ratio of MI-EEG signals, this study proposed a Riemannian spatial filtering and domain adaptation (RSFDA) method for improving the accuracy and efficiency of cross-session MI-BCI classification tasks. The approach addressed the issue of inconsistent data distribution between source and target domains through a multi-module collaborative framework, which enhanced the generalization capability of cross-session MI-EEG classification models. Comparative experiments were conducted on three public datasets to evaluate RSFDA against eight existing methods in terms of classification accuracy and computational efficiency. The experimental results demonstrated that RSFDA achieved an average classification accuracy of 79.37%, outperforming the state-of-the-art deep learning method Tensor-CSPNet (76.46%) by 2.91% (P < 0.01). Furthermore, the proposed method showed significantly lower computational costs, requiring only approximately 3 minutes of average training time compared to Tensor-CSPNet’s 25 minutes, representing a reduction of 22 minutes. These findings indicate that the RSFDA method demonstrates superior performance in cross-session MI-EEG classification tasks by effectively balancing accuracy and efficiency. However, its applicability in complex transfer learning scenarios remains to be further investigated.
Brain-computer interface (BCI) can establish a direct communications pathway between the human brain and the external devices, which is independent of peripheral nerves and muscles. Compared with invasive BCI, non-invasive BCI has the advantages of low cost, low risk, and ease of operation. In recent years, using non-invasive BCI technology to control devices has gradually evolved into a new type of human-computer interaction manner. Moreover, the control strategy for BCI is an essential component of this manner. First, this study introduced how the brain control techniques were developed and classified. Second, the basic characteristics of direct and shared control strategies were thoroughly explained. And then the benefits and drawbacks of these two strategies were compared and further analyzed. Finally, the development direction and application prospects for non-invasive brain control strategies were suggested.
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 establish a better method of isolating andculturing ofneural stem cells(NSCs) in neonatal rat brain. Methods Tissue of brain was isolated from neonatal rats. Different medium and culture concentration were used toculture NSCs of neonatal rat. The culture concentration used were 1×10 4, 1×105, 1×106and 1×107/ml respectively. Ingredient of medium was classified into group 1 to 8 respectively according to whether to add 2% B27, epidermal growth factor (EGF) and basic fibroblast growth factor (bFGF) as well as the difference in culture concentration. The cells were induced to differentiate asto be confirmed as NSCs, and then were checked by phase contrast microscopy and identified by immunocytochemistry. Results The cells isolated and cultured gathered into neurospheres. The cells were capable of proliferating and maintaining longterm survival in vitro. The cells could be differentiated into neurons and glia.It was to the benefit of the survival of NSCs to add 5% fetal bovine serum(FBS)into the medium at the beginning of the culturing. When 10% FBS was added intothe medium, the neurospheres differentiated quickly. When concentration 1×106/ ml was used, the growth rate of the cells was the highest of all the concentrations. Reasonably higher cell concentration promoted the proliferation of NSCs. It was necessary to add 2% B27, EGF, and bFGF into the medium. The cells had the best growth when 2% B27, 20 ng/ml bFGF and 20 ng/ml EGF were added into the culture medium. EGF and bFGF had cooperative effect. Conclusion A better method of isolating and culturing of NSCs in neonatal rat brain is established and the foundation for future research is laid.
In recent years, exploring the physiological and pathological mechanisms of brain functional integration from the neural network level has become one of the focuses of neuroscience research. Due to the non-stationary and nonlinear characteristics of neural signals, its linear characteristics are not sufficient to fully explain the potential neurophysiological activity mechanism in the implementation of complex brain functions. In order to overcome the limitation that the linear algorithm cannot effectively analyze the nonlinear characteristics of signals, researchers proposed the transfer entropy (TE) algorithm. In recent years, with the introduction of the concept of brain functional network, TE has been continuously optimized as a powerful tool for nonlinear time series multivariate analysis. This paper first introduces the principle of TE algorithm and the research progress of related improved algorithms, discusses and compares their respective characteristics, and then summarizes the application of TE algorithm in the field of electrophysiological signal analysis. Finally, combined with the research progress in recent years, the existing problems of TE are discussed, and the future development direction is prospected.
Objective To investigate development and perspectives of brain death donation and transplantation. Methods The related literatures about the research of brain dead donors were reviewed. Results Brain death effects hemodynamic stability， hormonal changes， neuroimmunologic effects，and unleashes a cascade of inflammatory events， which may affect quality of graft， graft survival， and patient outcome. Moreover， the exact mechanism linked to brain death is incompletely understood. Conclusions The pathological physiology changes of brain dead donors has important impact on graft outcomes. However， subsequent work remains to be done.
ObjectiveTo investigate the feasibility and effectiveness of motor imagery based brain computer interface with wrist passive movement in chronic stroke patients with wrist extension impairment.MethodsFifteen chronic stroke patients with a mean age of (47.60±14.66) years were recruited from March 2017 to June 2018. At baseline, motor imagery ability was assessed first. Then motor imagery based brain computer interface with wrist passive movement was given as an intervention. Both range of motion of paretic wrist and Barthel index was assessed before and after the intervention.ResultsAmong the 15 chronic stroke patients admitted in the study, 12 finished the whole therapy, and 3 failed to pass the initial assessment. After the therapy, the 12 participants who completed the whole sessions of the treatment and follow up had improved ability of control electroencephalogram, in whom 9 regained the ability to actively extend the affected wrist, and the other 3 failed to actively extend their wrist (the rate of active extending wrist was 75%). The activity of daily life of all the participants did not change significantly before and after intervention, and no discomfort was found after daily treatment.ConclusionIn chronic stroke patients with wrist extension impairment, motor imagery based brain computer interface with wrist passive movement training is feasible and effective.
Brain-computer interface (BCI) systems based on steady-state visual evoked potential (SSVEP) have become one of the major paradigms in BCI research due to their high signal-to-noise ratio and short training time required by users. Fast and accurate decoding of SSVEP features is a crucial step in SSVEP-BCI research. However, the current researches lack a systematic overview of SSVEP decoding algorithms and analyses of the connections and differences between them, so it is difficult for researchers to choose the optimum algorithm under different situations. To address this problem, this paper focuses on the progress of SSVEP decoding algorithms in recent years and divides them into two categories—trained and non-trained—based on whether training data are needed. This paper also explains the fundamental theories and application scopes of decoding algorithms such as canonical correlation analysis (CCA), task-related component analysis (TRCA) and the extended algorithms, concludes the commonly used strategies for processing decoding algorithms, and discusses the challenges and opportunities in this field in the end.