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* Context.--Discrete submucosal necrotic nodules may rarely manifest as colon polyps. Objective.--To characterize the clinical and pathologic features of this lesion, which has been under-studied in the literature. Design.--We conducted an international search to compile a series. For each potential case, photomicrographs were centrally reviewed to confirm the diagnosis. We gathered clinical and pathologic information on each confirmed case. Results.--The final cohort included 25 patients, with 23 having 1 lesion and 2 having several (31 lesions total). Mean patient age was 62 years; 13 patients (52%) were male. Symptoms were nonspecific, although 4 patients (16%) had blood in stool; 14 patients were asymptomatic. Patient history and medications appeared noncontributory. Most cases were located in the right colon (n = 18; 58%). Mean lesion size was 0.4 cm (range, 0.1-1.7 cm). Histology typically showed a centrally necrotic nodule with peripheral fibrosis, chronic inflammation, and sometimes palisading granulomatous inflammation. Percent necrosis ranged from 5% to 95% (average, 70%), and percent fibrosis ranged from 3% to 70% (average, 25%). In 3 cases, degenerated parasitic structures consistent with Anisakis could be seen on hematoxylin-eosin and trichrome special stain. No patient experienced disease recurrence. Conclusions.--Submucosal necrotic nodules can present as colon polyps. Most cases are unifocal, and patients do well on follow-up. At least some examples appear to be caused by Anisakis, implicating patient diet. Patients are often asymptomatic, and many cases show no histologic evidence of the causative agent. doi: 10.5858/arpa.2022-0267-OA, Colon polyps are a relatively common finding on colonoscopy and are usually biopsied or excised for pathologic evaluation. (1) Most of these polyps represent epithelial proliferations involving the mucosal surface [...]

This paper describes an initial cognitive framework that captures the reasoning involved in scientific data analyses, drawing from close collaborations with scientists in different domains over many years. The framework aims to automate data analysis for science. In doing so, existing large repositories of data could be continuously and systematically analyzed by machines, updating findings and potentially making new discoveries as new data becomes available. The framework consists of a cycle with six phases: formulating an investigation, initiating the investigation, getting data, analyzing data, aggregating results, and integrating findings. The paper also describes our implementation of this framework and illustrates it with examples from different science domains.

This review summarizes the last decade of work by the ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease. Building on large-scale genetic studies that discovered the first robustly replicated genetic loci associated with brain metrics, ENIGMA has diversified into over 50 working groups (WGs), pooling worldwide data and expertise to answer fundamental questions in neuroscience, psychiatry, neurology, and genetics. Most ENIGMA WGs focus on specific psychiatric and neurological conditions, other WGs study normal variation due to sex and gender differences, or development and aging; still other WGs develop methodological pipelines and tools to facilitate harmonized analyses of "big data" (i.e., genetic and epigenetic data, multimodal MRI, and electroencephalography data). These international efforts have yielded the largest neuroimaging studies to date in schizophrenia, bipolar disorder, major depressive disorder, post-traumatic stress disorder, substance use disorders, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, autism spectrum disorders, epilepsy, and 22q11.2 deletion syndrome. More recent ENIGMA WGs have formed to study anxiety disorders, suicidal thoughts and behavior, sleep and insomnia, eating disorders, irritability, brain injury, antisocial personality and conduct disorder, and dissociative identity disorder. Here, we summarize the first decade of ENIGMA's activities and ongoing projects, and describe the successes and challenges encountered along the way. We highlight the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings, offering the opportunity to identify brain systems involved in clinical syndromes across diverse samples and associated genetic, environmental, demographic, cognitive, and psychosocial factors.

Investigation into the processes which are in action during dramatherapy is an emerging area of research interest. Models, such as the Meta-Processes Model of Change (MPMC) have, thus, emerged. This model proposes five meta-processes that underlie change in dramatherapy, which are said to be present across all dramatherapy approaches and are crucial to client change. Developed, initially, via a systematic review of dramatherapy, little analysis has been applied to this model since its inception. In order to understand UK dramatherapists' perspectives on the model and to investigate its applicability to their practice, a mixed-methods study was conducted. Semi-structured interviews were employed with eight UK dramatherapists, and thematic analysis was applied to the data. Afterwards, the MPMC was introduced to the same eight participants before they completed a primarily quantitative short questionnaire. The findings suggest that there is considerable convergence between the MPMC and dramatherapy methods and techniques that the participant dramatherapists employed within their clinical practice. The findings also uncovered the perceived importance of the meta-processes to a UK dramatherapy sample; establishing safety (e.g. via the use dramatic distance and ritual) was deemed to be the most important meta-process by those involved. As this study had a small sample size, and as there was limited knowledge of the model prior to participants' involvement in the study, further empirical and client-centred research on meta-processes is required. [ABSTRACT FROM AUTHOR]

Cognitive neuroscience aims to map mental processes onto brain function, which begs the question of what "mental processes" exist and how they relate to the tasks that are used to manipulate and measure them. This topic has been addressed informally in prior work, but we propose that cumulative progress in cognitive neuroscience requires a more systematic approach to representing the mental entities that are being mapped to brain function and the tasks used to manipulate and measure mental processes. We describe a new open collaborative project that aims to provide a knowledge base for cognitive neuroscience, called the Cognitive Atlas (accessible online at http://www.cognitiveatlas.org), and outline how this project has the potential to drive novel discoveries about both mind and brain.