Background During the first COVID-19 lockdown in Italy, it was observed a reduction in emergency department (ED) attendances due to non-SARS-COV-2-related acute/chronic conditions. Objective To analyze the impact of the COVID-19 lockdown on patients reporting headache as the principal presenting symptom on admission to the ED of the tertiary care University Hospital of Trieste over the relevant period. Methods We retrospectively evaluated the frequency, features, and management of ED attendances for headache during the COVID-19 lockdown from 8 March to 31 May 2020, comparing it with the pre-lockdown period (January-February 2020) and the first 5 months of 2019. Results A reduction in ED total attendances was observed in the first 5 months of 2020 compared to the same period in 2019 (21.574 and 30.364, respectively; − 29%), in particular with respect to headache-related attendances (174 and 339 respectively; − 49%). During the COVID-19 lockdown, it was recorded a minor reduction in the ED access rate of female patients (p = 0.03), while no significant variation was detected in repeaters' prevalence, diagnostic assessment, and acute treatment. The ratio of not otherwise specified, secondary, and primary headaches (48.4%, 30.6%, and 21.0% respectively) remained unchanged during the COVID-19 lockdown, in comparison to the control periods. ConclusionThe COVID-19 pandemic impacted the number of ED attendances for headache but not their management and setting. Despite a reduction of accesses for headache due to the pandemic emergency, the distribution of headache subtypes and the rate of repeaters did not change. KeywordsCOVID-19 • Headache • Emergency department • Lockdown • Repeaters Abbreviations ED Emergency department SARS-COV-2 Severe acute respiratory syndrome coronavirus 2 COVID-19 Coronavirus disease 19 NOS Not otherwise specified CT Computed tomography * Paolo Manganotti

Multiple sclerosis has a highly variable course and disabling symptoms even in absence of associated imaging data. This clinical-radiological paradox has motivated functional studies with particular attention to the resting-state networks by functional MRI. The EEG microstates analysis might offer advantages to study the spontaneous fluctuations of brain activity. This analysis investigates configurations of voltage maps that remain stable for 80-120 milliseconds, termed microstates. The aim of our study was to investigate the temporal dynamic of microstates in patients with multiple sclerosis, without reported cognitive difficulties, and their possible correlations with clinical and neuropsychological parameters. We enrolled fifty relapsing-remitting multiple sclerosis patients and twenty-four healthy subjects, matched for age and sex. Demographic and clinical data were collected. All participants underwent to high-density EEG in resting-state and analyzed 15-minutes free artifact segments. Microstates analysis consisted in two processes: segmentation, to identify specific templates, and back-fitting, to quantify their temporal dynamic. A neuropsychological assessment was performed by the Brief International Cognitive Assessment for Multiple Sclerosis. Repeated measures two-way ANOVA was run to compare microstates parameters of patients vs. controls. To evaluate association between clinical, neuropsychological and microstates data, we performed Pearsons’ correlation and stepwise multiple linear regression to estimate possible predictions. The alpha value was set to 0.05. We found six templates computed across all subjects. Significant differences were found in most of the parameters [global explained variance, time coverage, occurrence] for the microstate Class A (p < 0.001), B (p < 0.001), D (p < 0.001), E (p < 0.001) and F (p < 0.001). In particular, an increase of temporal dynamic of Class-A, B and E and a decrease of Class-D and F were observed. A significant positive association of disease duration with the mean duration of Class-A was found. Eight percent of patients with multiple sclerosis were found cognitive impaired, the multiple linear regression analysis showed a strong prediction of Symbol Digit Modalities Test score by global explained variance of Class-A. The EEG microstate analysis in patients with multiple sclerosis, without overt cognitive impairment, showed an increased temporal dynamic of the sensory-related microstates (Class A and B), a reduced presence of the cognitive-related microstates (Class D and F), and a higher activation of a microstate (Class E) associated to the default mode network. These findings might represent an electrophysiological signature of brain reorganization in multiple sclerosis. Moreover, the association between Symbol Digit Modalities Test and Class-A may suggest a possible marker of overt cognitive dysfunctions.

No abstract

No abstract

No abstract