Approaches to neuroprotection in pediatric neurocritical care.

Acute neurologic injuries represent a common cause of morbidity and mortality in children presenting to the pediatric intensive care unit. After primary neurologic insults, there may be cerebral brain tissue that remains at risk of secondary insults, which can lead to worsening neurologic injury and unfavorable outcomes. A fundamental goal of pediatric neurocritical care is to mitigate the impact of secondary neurologic injury and improve neurologic outcomes for critically ill children. This review describes the physiologic framework by which strategies in pediatric neurocritical care are designed to reduce the impact of secondary brain injury and improve functional outcomes. Here, we present current and emerging strategies for optimizing neuroprotective strategies in critically ill children.

Seventeen-Year-Old Female With History of Depression Presented With Mania and Enuresis.

A 17-year-old girl with a history of depression was referred by her psychologist to the emergency department (ED) because of concerning behavioral changes for the past 2 weeks. She was engaging in erratic behaviors, including excessive baking, handling broken glass, mixing chemicals, and swimming alone while clothed. She denied any intention to harm herself or others. She was feeling energized in the morning despite only sleeping a few hours at night. She also urinated on herself the day before her ED visit. Her examination and preliminary testing findings in the ED were largely normal. Her initial presentation was concerning for a psychiatric etiology, such as new-onset bipolar disorder given previous history of depression and recent impulsive symptoms suggestive of mania. As her clinical course evolved and urinary incontinence continued, her definitive diagnosis was made by an interdisciplinary team that included child psychiatry and pediatric neurology.

Eye tracking and pupillometry are indicators of dissociable latent decision processes.

Can you predict what people are going to do just by watching them? This is certainly difficult: it would require a clear mapping between observable indicators and unobservable cognitive states. In this report, we demonstrate how this is possible by monitoring eye gaze and pupil dilation, which predict dissociable biases during decision making. We quantified decision making using the drift diffusion model (DDM), which provides an algorithmic account of how evidence accumulation and response caution contribute to decisions through separate latent parameters of drift rate and decision threshold, respectively. We used a hierarchical Bayesian estimation approach to assess the single trial influence of observable physiological signals on these latent DDM parameters. Increased eye gaze dwell time specifically predicted an increased drift rate toward the fixated option, irrespective of the value of the option. In contrast, greater pupil dilation specifically predicted an increase in decision threshold during difficult decisions. These findings suggest that eye tracking and pupillometry reflect the operations of dissociated latent decision processes.