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Cognitive control (CC) is essential for problem-solving in everyday life, and CC-related deficits occur alongside costly and debilitating disorders. The tri-partite model suggests that CC comprises multiple behaviors, including switching, inhibiting, and updating. Activity within the fronto-parietal control network B (FPCN-B), the dorsal attention network (DAN), the cingulo-opercular network (CON), and the lateral default-mode network (L-DMN) is related to switching and inhibiting behaviors. However, our understanding of how these brain regions interact to bring about cognitive switching and inhibiting in individuals is unclear. In the current study, subjects performed two in-scanner tasks that required switching and inhibiting. We used support vector regression (SVR) models containing individually-estimated functional connectivity between the FPCN-B, DAN, CON and L-DMN to predict switching and inhibiting behaviors. We observed that: inter-network connectivity can predict inhibiting and switching behaviors in individuals, and the L-DMN plays a role in switching and inhibiting behaviors. Therefore, individually estimated inter-network connections are markers of CC behaviors, and CC behaviors may arise due to interactions between a set of networks., Competing Interests: Declaration of competing interest None to report, (Copyright © 2023. Published by Elsevier Inc.)

Objective: Soccer is the most popular sport worldwide and is the only sport where athletes purposely use their head to deflect the ball during play, termed "heading" the ball. These repetitive head impacts (RHI) are associated with worse neuropsychological function; however, factors that can increase risk of injury following exposure to such head impacts have been largely unexamined. The present study provided a novel examination of the modifying role of sleep on the relationship between RHI exposure and neuropsychological function in college-age soccer players., Methods: Fifty varsity and intramural college soccer players completed questionnaires assessing recent and long-term heading exposure, a self-report measure of sleep function, and a battery of neuropsychological tests., Results: A high level of recent heading exposure was significantly associated with poorer processing speed, independent of concussion history. With reduced sleep duration, a high level of recent heading exposure was related to worse sustained attention. However, with greater hours of sleep duration, heading exposure was related to preserved neuropsychological outcome in sustained attention., Conclusions: We replicated our earlier finding of an association between recent head impact exposure and worse processing speed in an independent sample. In addition, we found that sleep may serve as a risk or protective factor for soccer players following extensive exposure to head impacts. Ultimately, this study furthers the understanding of factors impacting neuropsychological function in soccer players and provides empirical support for sleep interventions to help ensure safer soccer play and recovery from injury.

Objective: Pediatric residents are expected to be competent in end-of-life (EOL) care. We aimed to quantify pediatric resident exposure to patient deaths, and the context of these exposures., Methods: Retrospective chart review of all deceased patients at one children's hospital over 3 years collected patient demographics, time, and location of death. Mode of death was determined after chart review. Each death was cross-referenced with pediatric resident call schedules to determine residents involved within 48 hours of death. Descriptive statistics are presented., Results: Of 579 patients who died during the study period, 46% had resident involvement. Most deaths occurred in the NICU (30% of all deaths); however, resident exposure to EOL care most commonly occurred in the PICU (52% of resident exposures) and were after withdrawals of life-sustaining therapy (41%), followed by nonescalation (31%) and failed resuscitation (15%). During their postgraduate year (PGY)-1, <1% of residents encountered a patient death. During PGY-2 and PGY-3, 96% and 78%, respectively, of residents encountered at least 1 death. During PGY-2, residents encountered a mean of 3.5 patient deaths (range 0-12); during PGY-3, residents encountered a mean of 1.4 deaths (range 0-5). Residents observed for their full 3-year residency encountered a mean of 5.6 deaths (range 2-10)., Conclusions: Pediatric residents have limited but variable exposure to EOL care, with most exposures in the ICU after withdrawal of life-sustaining technology. Educators should consider how to optimize EOL education with limited clinical exposure, and design resident support and education with these variable exposures in mind., (Copyright © 2019 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.)

: media-1vid110.1542/5804909711001PEDS-VA&#95;2017-4182 Video Abstract BACKGROUND: Knowledge about how children die in pediatric hospitals is limited, and this hinders improvement in hospital-based end-of-life care., Methods: We conducted a retrospective chart review of all the patients who died in a children's hospital between July 2011 and June 2014, collecting demographic and diagnostic information, hospital length of stay, location of death, and palliative care consultation. A qualitative review of provider notes and resuscitation records was used to create 5 mutually exclusive modes of death, which were then assigned to each patient. Analysis included the calculation of descriptive statistics and multinomial logistic regression modeling., Results: We identified 579 patients who were deceased; 61% were <1 year of age. The ICU was the most common location of death (NICU 29.7%; PICU 27.8%; cardiac ICU 16.6%). Among the 5 modes of death, the most common was the withdrawal of life-sustaining technology (40.2%), followed by nonescalation (25.6%), failed resuscitation (22.8%), code then withdrawal (6.0%), and death by neurologic criteria (5.3%). After adjustment, patients who received a palliative care consultation were less likely to experience a code death (odds ratio 0.31; 95% confidence interval 0.13-0.75), although African American patients were more likely than white patients to experience a code death (odds ratio 2.46; 95% confidence interval 1.05-5.73), mostly because of code events occurring in the first 24 hours of hospitalization., Conclusions: Most deaths in a children's hospital occur in ICUs after the withdrawal of life-sustaining technology. Race and palliative care involvement may influence the manner of a child's death., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2018 by the American Academy of Pediatrics.)