Background: Managing multiple sclerosis (MS) during the novel coronavirus (COVID-19) pandemic is a challenge due to the lack of evidence from clinical studies. Disease-modifying therapies (DMTs) may affect the immune response and subsequently alter the risk of COVID-19 infections. Methods: A literature search was conducted on MEDLINE, Embase, and Cochrane databases. A focused Google search was also performed. The recommendations regarding the use of DMTs during the COVID-19 outbreak from national or international MS/neurology societies were identified and reviewed. Results: The review included 16 recommendations from international and national MS organizations. All recommendations are based on expert opinions. The recommendations regarding DMT initiation and management during this outbreak were summarized. Moreover, the experts' views about the risk of COVID-19 infection with each DMT were discussed as well. Conclusions: There is significant agreement among most experts' recommendations from a variety of sources based on collective clinical experience. However, the recommendations will likely evolve as sufficient clinical data are limited. Several ongoing registries will help to provide the information for future recommendations.

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Purpose: To estimate whether the city-specific lockdown in Shanghai induced by the COVID-19 pandemic affected preterm birth rates among uninfected pregnant women in different trimesters.Methods: The population-based retrospective cohort study was conducted in the International Peace Maternity and Child Health Hospital (IPMCH) in Shanghai, China. Pregnant women without COVID-19 received perinatal healthcare during lockdown (from January 24, 2020 to March 24, 2020) and non-lockdown (from January 24, 2019 to March 24, 2019) period and giving birth to a live infant at IPMCH were enrolled. 1:1 propensity score matching and Inverse probability of treatment weighting were used to evaluate preterm birth (<37 weeks), very preterm birth (<34 weeks), preterm birth with premature rupture of membranes (PROM-PTB), spontaneous preterm birth with intact membranes (S-PTB), and medically induced preterm birth (MI-PTB) between two groups.Results: 8,270 pregnant women were in the lockdown group, and 9,815 were in the non-lockdown group. Pregnant women in second trimester during lockdown had a higher risk of PTB than those during the non-lockdown period [OR: 1.43 (CI 1.01–2.02), ARD: 1.7% (CI 0.04–3.4%), p = 0.045]. Furthermore, pregnant women in third trimester during lockdown had a higher risk of PROM-PTB than those during the non-lockdown period [OR: 1.64 (CI 1.09–2.47), ARD: 0.9% (CI 0.2–1.6%), p = 0.02]; no group differences were found related to rates of VPTB, S-PTB or MI-PTB.Conclusion: In this cohort study in China, we found that there was an increased risk in preterm birth for non-infected women in COVID-19 lockdown who were in their second trimester.

Fish interacting with biomimetic robotic fish is beneficial for animal behavior research, particularly in the study of collective behavior. Compared with passive-dragging robotic fish, self-propelled robotic fish floats in water, and its movement matches the flow field formed by the caudal fin oscillation, leading to more realistic interaction with animals. In this paper, we propose a self-propelled koi-mimicking robotic fish entity, develop a system for robotic fish and koi fish interaction, and conduct extensive experiments on quantity variation and parameter variation. The results showed that fish exhibited significantly lower proactivity when alone, and the most proactive case is one robotic fish interacting with two real fish. The experiments on parameter variation indicated that fish may respond more proactivity to robotic fish that swim with high frequency and low amplitude, but may also move together with high-frequency and high-amplitude swimming robotic fish. These findings could provide insights into fish collective behavior, guide the design of further fish-robot interaction experiments, and suggest directions for future improvements in goal-oriented robotic fish platforms.

Background: Acute encephalopathy is a common neurological manifestation in coronavirus disease 2019 (COVID-19) patients and presents with confusion, delirium, or poor responsiveness. Non-convulsive status epilepticus (NCSE) is an important differential diagnosis in this situation. The electroencephalography (EEG) patterns in COVID-19 patients remain largely unknown. Method: A literature search was conducted on MEDLINE, EMBASE, and Cochrane database. Eligibility criteria included case series and case reports of COVID-19 patients with neurological complication who underwent EEG. Two authors screened all resulting studies and extracted the data independently. Results: Four retrospective case control studies and eleven case reports were identified. Background diffuse slow activity were seen in most of the COVID-19 patients. Other EEG patterns reported included status epilepticus, focal slow activity, rhythmic periodic discharges, and interictal epileptiform discharges. Imaging and CSF studies were available in only a few patients. Conclusions: Acute encephalopathy is common in the context of COVID-19. There is no specific EEG pattern found in these patients. Keywords: COVID-19, coronavirus, SAR-CoV-2, electroencephalogram, EEG