An extended duration of darkness starting near the time of birth preserves immature neuronal characteristics and prolongs the accentuated plasticity observed in young animals. Brief periods of complete darkness have emerged as an effective means of restoring a high capacity for neural plasticity and of promoting recovery from the effects of monocular deprivation (MD). We examined whether 10 days of darkness imposed in adulthood or beyond the peak of the critical period could rejuvenate the ability of MD to reduce the size of neuron somata within deprived layers of the cat dorsal lateral geniculate nucleus (dLGN). For adult cats subjected to 10 days of darkness before 7 days of MD, we observed no alteration in neuron size or neurofilament labeling within the dLGN. At 12 weeks of age, MD that followed immediately after 10 days of darkness produced an enhanced reduction of neuron soma size within deprived dLGN layers. For this age we observed that 10 days of darkness also enhanced the loss of neurofilament protein within deprived dLGN layers. These results indicate that, although 10 days of darkness in adulthood does not enhance the susceptibility to 7 days of MD, darkness imposed near the trailing edge of the critical period can restore a heightened susceptibility to MD more typical of an earlier developmental stage. The loss of neurofilament in juveniles exposed to darkness prior to MD suggests that the enhanced capacity for structural plasticity is partially rooted in the ability of darkness to modulate molecules that inhibit plasticity. J. Comp. Neurol. 524:2643-2653, 2016. © 2016 Wiley Periodicals, Inc.

Purpose Resident logbooks (RLBs) documenting clinical case exposure are widespread in medical education despite evidence of poor accuracy. Electronic health records (e.g., anesthesia information management systems [AIMS]) may provide advantages for auditing longitudinal case exposure. We evaluated the agreement between AIMS and RLBs for tracking case exposure during anesthesiology residency. Methods We performed a historical cohort study with anesthesiology residents (2011-2018, all of whom used a RLB contemporaneously with AIMS) working in a multisite academic health sciences network. The primary outcome was total case-load logging; secondary outcomes were volumes for seven surgical specialties (general, gynecology, neuro, orthopedic, thoracic, urology, and vascular surgery). Correlation of case numbers tracked by AIMS vs RLB was assessed using Pearson correlation; agreement was determined using Bland-Altman plots and intraclass correlation coefficients (ICC). Results Data from 27 anesthesiology residents were collected. Overall, mean (standard deviation) case numbers were generally greater with AIMS vs RLB [649 (103) vs 583 (191); P = 0.049). Total case volumes between systems had moderate correlation (r = 0.50) and agreement (intraclass correlation coefficient [ICC], 0.42

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Introduction Competency-based medical education requires robust assessment in authentic clinical environments. Using work-based assessments, entrustment scales have emerged as a means of describing a trainee's ability to perform competently. Nevertheless, psychometric properties of entrustment-based assessment are relatively unknown, particularly in anesthesiology. This study assessed the generalizability and extrapolation evidence for entrustment scales within a program of assessment during anesthesiology training. Methods Entrustment scores were collected during the first seven blocks of training for three resident cohorts.Entrustment scores were assessed during daily evaluations using a Clinical Case Assessment Tool (CCAT) within the preoperative, intraoperative, and postoperative setting. The reliability of the entrustment scale was estimated using generalizability theory. Spearman's correlations measured the relationship between median entrustment scores and percentiles scores on the Anesthesia Knowledge Test

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