Brain signal predictions from multi-scale networks using a linearized framework.

Simulations of neural activity at different levels of detail are ubiquitous in modern neurosciences, aiding the interpretation of experimental data and underlying neural mechanisms at the level of cells and circuits. Extracellular measurements of brain signals reflecting transmembrane currents throughout the neural tissue remain commonplace. The lower frequencies (≲ 300Hz) of measured signals generally stem from synaptic activity driven by recurrent interactions among neural populations and computational models should also incorporate accurate predictions of such signals.

Clinical impact of human metapneumovirus infections before and during the COVID-19 pandemic.

Background: The first outbreak of coronavirus disease 2019 (COVID-19) occurred in March 2020 in Europe, which is normally the peak incidence period of human metapneumovirus (HMPV) infections, implying cocirculation and potentially causing competition between them.

Methods: We investigated differences in clinical characteristics and outcomes of HMPV infections in hospitalized patients before (January 2016-28 February, 2020) and HMPV and COVID-19 during part of the COVID-19 pandemic (28 February, 2020-1 April, 2020).

Results: A total of 239 HMPV patients and 303 COVID-19 patients were included.

Infection prevention in sarcoidosis: proposal for vaccination and prophylactic therapy.

Sarcoidosis is a systemic inflammatory disease characterized by granuloma formation in affected organs and caused by dysregulated immune response to an unknown antigen. Sarcoidosis patients receiving immunosuppressive medications are at increased risk of infection. Lymphopenia is also commonly seen among patient with sarcoidosis.