Diagnosing Epilepsy with Normal Interictal EEG Using Dynamic Network Models.

Objective: Whereas a scalp electroencephalogram (EEG) is important for diagnosing epilepsy, a single routine EEG is limited in its diagnostic value. Only a small percentage of routine EEGs show interictal epileptiform discharges (IEDs) and overall misdiagnosis rates of epilepsy are 20% to 30%. We aim to demonstrate how network properties in EEG recordings can be used to improve the speed and accuracy differentiating epilepsy from mimics, such as functional seizures - even in the absence of IEDs.

Inter-center variations in inpatient outcomes for infants with gastroschisis from the Children's Hospitals Neonatal Consortium.

Objective: To estimate inter-center variation (ICV) in hospital length of stay (LOS) and oral feeding at discharge among infants with gastroschisis.

Study Design: The Children's Hospitals Neonatal Consortium's (CHNC) database was used to identify hospitalized survivors with gastroschisis. Two outcomes were evaluated: LOS and discharge without tube feedings.

Ultrafast Symmetry Control in Photoexcited Quantum Dots.

Symmetry control is essential for realizing unconventional properties, such as ferroelectricity, nonlinear optical responses, and complex topological order, thus it holds promise for the design of emerging quantum and photonic systems. Nevertheless, fast and reversible control of symmetry in materials remains a challenge, especially for nanoscale systems. Here, reversible symmetry changes are unveiled in colloidal lead chalcogenide quantum dots on picosecond timescales.