Physiological versus time based cord clamping in very preterm infants (ABC3): a parallel-group, multicentre, randomised, controlled superiority trial.

Background: Physiological-based cord clamping (PBCC) in preterm infants is beneficial for cardiovascular transition at birth and may optimize placental transfusion. Whether PBCC can improve clinical outcomes is unknown. The aim of the Aeration, Breathing, Clamping (ABC3) trial was to test whether PBCC results in improved intact survival in very preterm infants.

Expert level of detection of interictal discharges with a deep neural network.

Objective: Deep learning methods have shown potential in automating the detection of interictal epileptiform discharges (IEDs) in electroencephalography (EEG). We compared IED detection using our previously trained deep neural network with a group of experts to assess its potential applicability.

Methods: First, we performed clinical validation on an internal data set.

Ghrelin for Neuroprotection in Post-Cardiac Arrest Coma: a one-year follow-up of cognitive and psychosocial outcomes.

Background: Effective treatments to improve brain recovery after cardiac arrest are needed. Ghrelin showed efficacy in experimental models and was associated with lower neuron specific enolase levels in the clinical Ghrelin in Coma (GRECO) trial. Here we present cognitive and psychosocial outcomes at one-year follow-up.

Breaking the burst: Unveiling mechanisms behind fragmented network bursts in patient-derived neurons.

Fragmented network bursts (NBs) are observed as a phenotypic driver in many patient-derived neuronal networks on multi-electrode arrays (MEAs), but the pathophysiological mechanisms underlying this phenomenon are unknown. Here, we used our previously developed biophysically detailed in silico model to investigate these mechanisms. Fragmentation of NBs in our model simulations occurred only when the level of short-term synaptic depression (STD) was enhanced, suggesting that STD is a key player.