Electroconvulsive therapy (ECT) is an interventional technique capable of highly effective neuromodulation in major depressive disorder (MDD), but its antidepressant mechanism remains unclear. By recording the resting-state electroencephalogram (RS-EEG) of 19 MDD patients before and after ECT, we analyzed the modulation effect of ECT on the resting-state brain functional network of MDD patients from multiple perspectives: estimating spontaneous EEG activity power spectral density (PSD) using Welch algorithm; constructing brain functional network based on imaginary part coherence (iCoh) and calculate functional connectivity; using minimum spanning tree theory to explore the topological characteristics of brain functional network. The results show that PSD, functional connectivity, and topology in multiple frequency bands were significantly changed after ECT in MDD patients. The results of this study reveal that ECT changes the brain activity of MDD patients, which provides an important reference in the clinical treatment and mechanism analysis of MDD.
Humans ; Depressive Disorder, Major/therapy* ; Electroconvulsive Therapy ; Brain ; Algorithms ; Electroencephalography

Electromagnetic stimulation is an important neuromodulation technique that modulates the electrical activity of neurons and affects cortical excitability for the purpose of modulating the nervous system. The phenomenon of inverse stochastic resonance is a response mechanism of the biological nervous system to external signals and plays an important role in the signal processing of the nervous system. In this paper, a small-world neural network with electrical synaptic connections was constructed, and the inverse stochastic resonance of the small-world neural network under electromagnetic stimulation was investigated by analyzing the dynamics of the neural network. The results showed that: the Levy channel noise under electromagnetic stimulation could cause the occurrence of inverse stochastic resonance in small-world neural networks; the characteristic index and location parameter of the noise had significant effects on the intensity and duration of the inverse stochastic resonance in neural networks; the larger the probability of randomly adding edges and the number of nearest neighbor nodes in small-world networks, the more favorable the anti-stochastic resonance was; by adjusting the electromagnetic stimulation parameters, a dual regulation of the inverse stochastic resonance of the neural network can be achieved. The results of this study provide some theoretical support for exploring the regulation mechanism of electromagnetic nerve stimulation technology and the signal processing mechanism of nervous system.
Action Potentials/physiology* ; Computer Simulation ; Models, Neurological ; Stochastic Processes ; Neurons/physiology* ; Electromagnetic Phenomena

With the widespread use of electrical equipment, cognitive functions such as working memory (WM) could be severely affected when people are exposed to 50 Hz electromagnetic fields (EMF) for long term. However, the effects of EMF exposure on WM and its neural mechanism remain unclear. In the present paper, 15 rats were randomly assigned to three groups, and exposed to an EMF environment at 50 Hz and 2 mT for a different duration: 0 days (control group), 24 days (experimental group I), and 48 days (experimental group II). Then, their WM function was assessed by the T-maze task. Besides, their local field potential (LFP) in the media prefrontal cortex (mPFC) was recorded by the in vivo multichannel electrophysiological recording system to study the power spectral density (PSD) of θ and γ oscillations and the phase-amplitude coupling (PAC) intensity of θ-γ oscillations during the T-maze task. The results showed that the PSD of θ and γ oscillations decreased in experimental groups I and II, and the PAC intensity between θ and high-frequency γ (hγ) decreased significantly compared to the control group. The number of days needed to meet the task criterion was more in experimental groups I and II than that of control group. The results indicate that long-term exposure to EMF could impair WM function. The possible reason may be the impaired communication between different rhythmic oscillations caused by a decrease in θ-hγ PAC intensity. This paper demonstrates the negative effects of EMF on WM and reveals the potential neural mechanisms from the changes of PAC intensity, which provides important support for further investigation of the biological effects of EMF and its mechanisms.
Humans ; Rats ; Animals ; Memory, Short-Term/physiology* ; Electromagnetic Fields/adverse effects* ; Prefrontal Cortex ; Cognition

Objective:To re-evaluate the systematic reviews of the effectiveness of virtual reality technology in pain management in children.Methods:Using computers to search for systematic reviews of the effectiveness of virtual reality technology in pain management for pediatric patients in China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP, China Biology Medicine disc, Cochrane Library, PubMed, Embase, CINAHL and Web of Science. The retrieval period was from the establishment of the databases to November 4, 2022. Literature screening and data extraction were conducted independently by two researchers, methodological quality evaluation was performed for the included studies using the A Measurement Tool to Assess Systematic Reviews 2 (AMSTAR 2) checklist, and the evidence quality rating was evaluated using Grades of Recommendations Assessment, Development and Evaluation (GRADE) system.Results:A total of 14 systematic reviews were included. AMSTAR 2 evaluation results showed that the methodological quality of 2 systematic reviews was low, and 12 were extremely low. GRADE was used to evaluate the quality of evidence of the outcome indicators, and the results showed that among the 26 outcome indicators included, 23.08% (6/26) were medium evidence, 76.92% (20/26) were low evidence, and the quality of no evidence was high.Conclusions:There is a lack of high-quality evidence to support the conclusion that virtual reality technology can relieve pain in children. The methodological quality and evidence quality of systematic reviews are low, and more standardized and rigorous studies need to be carried out in the future to further verify the application effect of virtual reality technology in pain management of children.

With the development of high-throughput sequencing technology, circular RNAs (circRNAs) have gradually become a hotspot in the research on non-coding RNA. CircRNAs are produced by the covalent circularization of a downstream 3' splice donor and an upstream 5' splice acceptor through backsplicing, and they are pervasive in eukaryotic cells. CircRNAs used to be considered byproducts of false splicing, whereas an explosion of related studies in recent years has disproved this misconception. Compared with the rich studies of circRNAs in animals, the study of circRNAs in plants is still in its infancy. In this review, we introduced the discovery of plant circRNAs, the discovery of plant circRNAs, the circularization feature, expression specificity, conservation, and stability of plant circRNAs and expounded the identification tools, main types, and biogenesis mechanisms of circRNAs. Furthermore, we summarized the potential roles of plant circRNAs as microRNA (miRNA) sponges and translation templates and in response to biotic/abiotic stress, and briefed the degradation and localization of plant circRNAs. Finally, we discussed the challenges and proposed the future directions in the research on plant circRNAs.
Animals ; MicroRNAs/metabolism* ; Organelle Biogenesis ; Plants/metabolism* ; Protein Biosynthesis/physiology* ; RNA, Circular/metabolism* ; RNA, Plant/metabolism* ; Research/trends* ; Stress, Physiological/genetics*

Acute intermittent porphyria(AIP) is a rare inherited metabolic disease that can cause severe and fatal acute attacks. This article shares the treatment and management of a severe AIP patient. It is proposed that (1) avoiding incentives is essential; (2) emotional problems easily overlooked should be paid attention; (3) long-term follow-up and patient education can improve the prognosis. The patient underwent renal biopsy during the remission period. We found a red-brown-yellow-white refractive index crystal under a polarized light microscope that had not been reported in the previous literature, which was speculated to be a porphyrin crystal.

Objective:To evaluate the efficacy and safety of rituximab(RTX) as remission-mainten-ance therapy in antineutrophil cytoplasmic antibody(ANCA) associated vasculitis(AAV).Methods:Patients with AAV, including granulomatosis with polyangiitis (GPA) and microscopic polyangiitis (MPA), treated with rituximab (RTX) in Peking Union Medical College Hospital during September 2005 to June 2021 were included into this study. Clinical data, relapse rate, time of first relapse and adverse events were collected and analyzed. The cumulative relapse rate was calculated by Kaplan-Meier, t test, and Man-Whithey U test and chi-square were used to compare differences between two groups. Results:① Thirty-nine AAV patients were enrolled, including 36 GPA and 3 MPA. During the 20(3, 104) months follow-up, 59.0%(23/39) patients had suffered relapses. The time for first relapse was 11(3, 42) months after remission. ② There were no difference in the relapse rate [60.0%(18/30) vs 55.6%(5/9), χ2=0.06, P=1.000), the time of first relapse [15(3, 42) vs 10(9, 30), Z=0.45, P=0.678], CD19 + B [23.5 (5, 148) cell/μl vs 3(2, 15) cell/μl, Z=0.57, P=0.605] and serum IgG [7.09(5.13, 13.90) g/L vs 9.72(5.32, 12.0) g/L, Z=0.36, P=0.770] between standard dose and low-dose groups. The rate of major relapse-free was significantly less in patients treated with standard dose than patients with reduced dose of RTX {87.1%[95% CI(73.4%, 100.8R%)] vs 64.3%[95% CI(23.1%, 105.4%)], χ2=7.59, P=0.006}. ③ There were no difference in relapse rate [50.0%(3/6) vs 60.6%(20/33), χ2=0.24, P=0.674], time of first relapse [23(6, 25) vs 11(3, 42), Z=0.05, P=0.982], CD19 + B[35(15, 50) cell/μl vs 10(0, 148) cell/μl, Z=0.95, P=0.382] and serum IgG[6.70(5.91, 7.49) g/L vs 7.69(3.78, 13.90) g/L, Z=0.48, P=0.700] between the fixed interval dosage and the on-demand dosage groups. There was no difference in the rate of major relapse-free between the two groups (100% vs 77.8%, χ2=1.79, P=0.181). ④ The incidence of infusion reaction was 5.1%(2/39) and infection was 20.5%(8/39). Serum IgG level was 4.37(3.78, 13.4) g/L at infection. There was no difference in safety between the standard and low-dose groups or between fixed interval and on-demand dosage groups ( P>0.05). Conclusion:There is no significant difference in relapse rate bet-ween the standard RTX dose and low-dose RTX induction therapy group, but the major relapse rate is sign-ificantly reduced in the standard dose RTX therapy. The relapse rate of fixed intervals dosage group is similar to that of on-demand dosage group. The safety profile of the standard dose and low-dose induction therapy groups or fixed intervals and on-demand dosage groups is similiar.

Affective brain-computer interfaces (aBCIs) has important application value in the field of human-computer interaction. Electroencephalogram (EEG) has been widely concerned in the field of emotion recognition due to its advantages in time resolution, reliability and accuracy. However, the non-stationary characteristics and individual differences of EEG limit the generalization of emotion recognition model in different time and different subjects. In this paper, in order to realize the recognition of emotional states across different subjects and sessions, we proposed a new domain adaptation method, the maximum classifier difference for domain adversarial neural networks (MCD_DA). By establishing a neural network emotion recognition model, the shallow feature extractor was used to resist the domain classifier and the emotion classifier, respectively, so that the feature extractor could produce domain invariant expression, and train the decision boundary of classifier learning task specificity while realizing approximate joint distribution adaptation. The experimental results showed that the average classification accuracy of this method was 88.33% compared with 58.23% of the traditional general classifier. It improves the generalization ability of emotion brain-computer interface in practical application, and provides a new method for aBCIs to be used in practice.
Algorithms ; Brain-Computer Interfaces ; Electroencephalography ; Emotions ; Humans ; Reproducibility of Results

As a noninvasive neuromodulation technique, transcranial magnetic stimulation (TMS) is widely used in the clinical treatment of neurological and psychiatric diseases, but the mechanism of its action is still unclear. The purpose of this paper is to investigate the effects of different frequencies of magnetic stimulation (MS) on neuronal excitability and voltage-gated potassium channels in the
Action Potentials ; Animals ; Magnetic Phenomena ; Mental Disorders ; Mice ; Neurons ; Patch-Clamp Techniques ; Potassium Channels, Voltage-Gated