Objective To understand pathogenesis, clinical manifestations, diagnosis, treatment, and prognosis of metaplastic breast cancer (MBC), and to provide some new ideas for clinical diagnosis and treatment, and exploration of scientific research for it. Method The relevant literatures of the latest research on MBC were reviewed and analyzed. Results At present, the pathogenesis of the MBC was still uncertain. The incidence of the MBC was lower, and it’s clinical manifestations were not specific. Compared with the invasive breast cancer, the tumor diameter was larger, the growth was faster, the differentiation degree was lower, the risks of the local and distant metastases were higher, while the lymph node metastasis was rare. Because of the clinical manifestation, auxiliary examination, and imaging examinations were lack of specificity, the diagnosis was difficult. Although the preoperative puncture could provide a reliable diagnosis evidence, it was difficult for distinguishing and accurate diagnosis due to it’s more subtypings. Some of the specific molecular targets could provide a help for it. At present, the modified radical mastectomy was often performed, the axillary lymph node metastasis was relatively rare in the MBC, so the sentinel lymph node biopsy was more important in the treatment of the MBC. The therapeutic effect was limited by the endocrine therapy, targeted therapy, or neoadjuvant chemotherapy and was poor by the systemic chemotherapy. Although the radiotherapy and chemotherapy could improve the overall survival and prolong the disease-free survival and control the local recurrence, the difference of it’s therapeutic effect was great due to the complex MBC typing. Conclusions MBC is a highly malignant and strongly invasive tumor, and it has more subtypings. Clinical manifestation and preoperative examination are lack of specificity, hence it is easy for misdiagnosis or missed diagnosis. Unified treatment guideline is lack of, prognosis is poor. So, it needs to explore some new treatment methods and formulate standardized treatment guidelines in order to achieve a better therapeutic effect.
Mental fatigue is an important factor of human health and safety. It is important to achieve dynamic mental fatigue detection by using electroencephalogram (EEG) signals for fatigue prevention and job performance improvement. We in our study induced subjects' mental fatigue with 30 h sleep deprivation (SD) in the experiment. We extracted EEG features, including relative power, power ratio, center of gravity frequency (CGF), and basic relative power ratio. Then we built mental fatigue prediction model by using regression analysis. And we conducted lead optimization for prediction model. Result showed that R2 of prediction model could reach to 0.932. After lead optimization, 4 leads were used to build prediction model, in which R2 could reach to 0.811. It can meet the daily application accuracy of mental fatigue prediction.
ObjectiveTo investigate the effects of hippocampal long-term potentiation (LTP) on cognitive dysfunction in immature epileptic rats. MethodsImmature epileptic rats were established by intraperitoneal injection of lithium chloride-pilocarpine (li-pilo). Racine classification standard modified by Becker was used to evaluate behavior of epileptic seizure, and the survival rats within RacineⅣmagnitude were selected in the experiment. The function of learning and memory of epileptic rats when they were adult was assessed using Morris water maze experiment, and their independent exploratory behavior was evaluated by the open-field test. Field potential was recorded by electrophysiological technology to detecte whether hippocampal LTP was essential of cognitive dysfunction. ResultsThe function of learning and memory was significantly impaired when compared with controls(n=8, t=10.86, P < 0.05;n=8, t=9.98, P < 0.05). In addition, independent exploratory behavior was significantly reduced when compared with controls(n=8, t=12.89, P < 0.05). Besides, CA1 hippocampal LTP induced by high-frequency stimulation presented the significant inhibition in epileptic rats with cognitive dysfunction when compared with controls(Slope:n=8, t=13.32, P < 0.05;Amplitude:n=8, t=20.02, P < 0.05). ConclusionInhibition of CA1 hippocampal LTP may be implicated in cognitive dysfunction of epileptic rats.
We applied Lempel-Ziv complexity (LZC) combined with brain electrical activity mapping (BEAM) to study the change of alertness under sleep deprivation in our research. Ten subjects were involved in 36 hours sleep deprivation (SD), during which spontaneous electroencephalogram (EEG) experiments and auditory evoked EEG experiments-Oddball were recorded once every 6 hours. Spontaneous and evoked EEG data were calculated and BEAMs were structured. Results showed that during the 36 hours of SD, alertness could be divided into three stages, i.e. the first 12 hours as the high stage, the middle 12 hours as the rapid decline stage and the last 12 hours as the low stage. During the period SD, LZC of Spontaneous EEG decreased over the whole brain to some extent, but remained consistent with the subjective scales. By BEAMs of event related potential, LZC on frontal cortex decreased, but kept consistent with the behavioral responses. Therefore, LZC can be effective to reflect the change of brain alertness. At the same time LZC could be used as a practical index to monitor real-time alertness because of its simple computation and fast calculation.
Vigilance is defined as the ability to maintain attention for prolonged periods of time. In order to explore the variation of brain vigilance in work process, we designed addition and subtraction experiment with numbers of three digits to induce the vigilance to change, combined it with psychomotor vigilance task (PVT) to measure this process of electroencephalogram (EEG), extracted and analyzed permutation entropy (PE) of 11 cases of subjects' EEG and made a brief comparison with nonlinear parameter sample entropy (SE). The experimental results showed that:PE could well reflect the dynamic changes of EEG when vigilance decreases, and has advantages of fast arithmetic speed, high noise immunity, and low requirements for EEG length. This can be used as a measure of the brain vigilance indicators.