Developing a Novel Case-Based Gastroenterology/Hepatology Online Resource for Enhanced Education During and After the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic reshaped the delivery of medical education, necessitating novel modes of instruction to facilitate distance learning. Online medical education resources provide opportunities for self-directed and asynchronous learning. GISIM is a free, open access educational website dedicated to gastroenterology (GI)/hepatology, which teaches pathophysiology and disease management, and supports clinical reasoning skill development through interactive, dynamic, case presentation-based journeys. AIMS: (1) To describe the creation of a mobile-optimized, GI/hepatology educational resource for medical trainees, and (2) to report on trainee feedback on completing and authoring GISIM cases. METHODS: GISIM was created on WordPress and modeled after NephSIM, an e-learning platform dedicated to Nephrology. Content was developed by internal medicine residents and GI/hepatology fellows and attendings. Cases are interactive, prompting users to select differential diagnoses and management plans, with immediate feedback provided on response. Self-reported user demographics and website feedback were collected with an embedded survey. A separate survey evaluated case authors' experiences. RESULTS: GISIM launched in February 2021 and received 12,184 website views and 2003 unique visitors between February 1 2021 and February 28 2022. New cases are disseminated bimonthly. Sixty-one user surveys were collected, with a majority completed by fellows (38%) and residents (26%). All users found the website easy to use and most reported enhanced understanding of case topic areas. Nine author surveys were collected. Authors reported significant learning on chosen topics and improved clinical knowledge through their participation. CONCLUSIONS: We developed a novel GI/hepatology case-based resource that enables distance learning and was perceived as a valuable educational tool by users and authors.

Elder Abuse Characteristics Based on Calls to the National Center on Elder Abuse Resource Line.

Characterizing the types of elder abuse and identifying the characteristics of perpetrators are critically important. This study examined the types of elder abuse reported to the National Center on Elder Abuse (NCEA) resource line. Calls were coded with regard to whether abuse was reported, types of abuse alleged, whether multiple abuse subtypes occurred, and who perpetrated the alleged abuse. Of the 1,939 calls, 818 (42.2%) alleged abuse, with financial abuse being the most commonly reported (449 calls, 54.9%). A subset of calls identified multiple abuse types (188, 23.0%) and multiple abusers (149, 18.2%). Physical abuse was most likely to co-occur with another abuse type (61/93 calls, 65.6%). Family members were the most commonly identified perpetrators (309 calls, 46.8%). This study reports the characteristics of elder abuse from a unique source of frontline data, the NCEA resource line. Findings point to the importance of supportive resources for elder abuse victims and loved ones.

Depth-dependent intracortical myelin organization in the living human brain determined by in vivo ultra-high field magnetic resonance imaging.

BACKGROUND: Intracortical myelin is a key determinant of neuronal synchrony and plasticity that underpin optimal brain function. Magnetic resonance imaging (MRI) facilitates the examination of intracortical myelin but presents with methodological challenges. Here we describe a whole-brain approach for the in vivo investigation of intracortical myelin in the human brain using ultra-high field MRI. METHODS: Twenty-five healthy adults were imaged in a 7 Tesla MRI scanner using diffusion-weighted imaging and a T1-weighted sequence optimized for intracortical myelin contrast. Using an automated pipeline, T1 values were extracted at 20 depth-levels from each of 148 cortical regions. In each cortical region, T1 values were used to infer myelin concentration and to construct a non-linearity index as a measure the spatial distribution of myelin across the cortical ribbon. The relationship of myelin concentration and the non-linearity index with other neuroanatomical properties were investigated. Five patients with multiple sclerosis were also assessed using the same protocol as positive controls. RESULTS: Intracortical T1 values decreased between the outer brain surface and the gray-white matter boundary following a slope that showed a slight leveling between 50% and 75% of cortical depth. Higher-order regions in the prefrontal, cingulate and insular cortices, displayed higher non-linearity indices than sensorimotor regions. Across all regions, there was a positive association between T1 values and non-linearity indices (P < 10-5). Both T1 values (P < 10-5) and non-linearity indices (P < 10-15) were associated with cortical thickness. Higher myelin concentration but only in the deepest cortical levels was associated with increased subcortical fractional anisotropy (P = 0.05). CONCLUSIONS: We demonstrate the usefulness of an automatic, whole-brain method to perform depth-dependent examination of intracortical myelin organization. The extracted metrics, T1 values and the non-linearity index, have characteristic patterns across cortical regions, and are associated with thickness and underlying white matter microstructure.

Addressing reverse inference in psychiatric neuroimaging: Meta-analyses of task-related brain activation in common mental disorders.

Functional magnetic resonance imaging (fMRI) studies in psychiatry use various tasks to identify case-control differences in the patterns of task-related brain activation. Differently activated regions are often ascribed disorder-specific functions in an attempt to link disease expression and brain function. We undertook a systematic meta-analysis of data from task-fMRI studies to examine the effect of diagnosis and study design on the spatial distribution and direction of case-control differences on brain activation. We mapped to atlas regions coordinates of case-control differences derived from 537 task-fMRI studies in schizophrenia, bipolar disorder, major depressive disorder, anxiety disorders, and obsessive compulsive disorder comprising observations derived from 21,427 participants. The fMRI tasks were classified according to the Research Domain Criteria (RDoC). We investigated whether diagnosis, RDoC domain or construct and use of regions-of-interest or whole-brain analyses influenced the neuroanatomical pattern of results. When considering all primary studies, we found an effect of diagnosis for the amygdala and caudate nucleus and an effect of RDoC domains and constructs for the amygdala, hippocampus, putamen and nucleus accumbens. In contrast, whole-brain studies did not identify any significant effect of diagnosis or RDoC domain or construct. These results resonate with prior reports of common brain structural and genetic underpinnings across these disorders and caution against attributing undue specificity to brain functional changes when forming explanatory models of psychiatric disorders. Hum Brain Mapp 38:1846-1864, 2017. © 2017 Wiley Periodicals, Inc.