An analysis-ready and quality controlled resource for pediatric brain white-matter research

We created a set of resources to enable research based on openly-available diffusion MRI (dMRI) data from the Healthy Brain Network (HBN) study. First, we curated the HBN dMRI data (N = 2747) into the Brain Imaging Data Structure and preprocessed it according to best-practices, including denoising and correcting for motion effects, susceptibility-related distortions, and eddy currents. Preprocessed, analysis-ready data was made openly available. Data quality plays a key role in the analysis of dMRI. To optimize QC and scale it to this large dataset, we trained a neural network through the combination of a small data subset scored by experts and a larger set scored by community scientists. The network performs QC highly concordant with that of experts on a held out set (ROC-AUC = 0.947). A further analysis of the neural network demonstrates that it relies on image features with relevance to QC. Altogether, this work both delivers resources to advance transdiagnostic research in brain connectivity and pediatric mental health, and establishes a novel paradigm for automated QC of large datasets

Optimizing psychosocial interventions in first-episode psychosis: current perspectives and future directions

Nicholas JK Breitborde,1,2 Aubrey M Moe,1 Arielle Ered,3 Lauren M Ellman,3 Emily K Bell4 1Department of Psychiatry and Behavioral Health, 2Department of Psychology, The Ohio State University, Columbus, OH, 3Department of Psychology, Temple University, Philadelphia, PA, 4Department of Psychiatry, University of Arizona, Tucson, AZ, USA Abstract: Psychotic-spectrum disorders such as schizophrenia, schizoaffective disorder, and bipolar disorder with psychotic features are devastating illnesses accompanied by high levels of morbidity and mortality. Growing evidence suggests that outcomes for individuals with psychotic-spectrum disorders can be meaningfully improved by increasing the quality of mental health care provided to these individuals and reducing the delay between the first onset of psychotic symptoms and the receipt of adequate psychiatric care. More specifically, multicomponent treatment packages that 1) simultaneously target multiple symptomatic and functional needs and 2) are provided as soon as possible following the initial onset of psychotic symptoms appear to have disproportionately positive effects on the course of psychotic-spectrum disorders. Yet, despite the benefit of multicomponent care for first-episode psychosis, clinical and functional outcomes among individuals with first-episode psychosis participating in such services are still suboptimal. Thus, the goal of this review is to highlight putative strategies to improve care for individuals with first-episode psychosis with specific attention to optimizing psychosocial interventions. To address this goal, we highlight four burgeoning areas of research with regard to optimization of psychosocial interventions for first-episode psychosis: 1) reducing the delay in receipt of evidence-based psychosocial treatments; 2) synergistic pairing of psychosocial interventions; 3) personalized delivery of psychosocial interventions; and 4) technological enhancement of psychosocial interventions. Future research on these topics has the potential to optimize the treatment response to evidence-based psychosocial interventions and to enhance the improved (but still suboptimal) treatment outcomes commonly experienced by individuals with first-episode psychosis. Keywords: first-episode psychosis; multicomponent care; psychosocial treatment; personalized medicine&nbsp

Fatores de risco para doença arterial coronariana em idosos: análise por enfermeiros utilizando ferramenta computacional Factores de riesgo para enfermedad arterial coronaria en ancianos: análisis por enfermeras utilizando herramienta computacional Risk factors for coronary artery disease in the elderly: analysis by nurses using computational tool

Este trabalho objetivou analisar a ocorrência dos fatores de risco para doença arterial coronariana em população idosa participante de uma ação comunitária utilizando ferramenta computacional por enfermeiros. Para o desenvolvimento do trabalho utilizou-se uma base de dados coletada em um evento comunitário. As informações se referem a fatores de risco, dados antropométricos, aferição de valores de glicemia, colesterol e pressão arterial, ocorrência de doença cardíaca e outras. A estrutura multidimensional foi elaborada e gerenciada pela ferramenta Analysis Services. A população idosa correspondeu a 40,4% do total, um terço dessa população estava com valores alterados de pressão arterial sistêmica, 53,8% apresentavam índice de massa corporal acima de 25 Kg/m², 40,3% referiram hipertensão e 20,3%, diabetes mellitus. Conclui-se que o controle de fatores de risco para DAC em clientes idosos é essencial e que a tecnologia da informação pode apoiar na tomada de decisões estratégicas de promoção de saúde.<br>Este trabajo tuvo como objetivo analizar la ocurrencia de los factores de riesgo para enfermedad arterial coronaria en la población anciana participante de una acción comunitaria con una herramienta computacional para las enfermeras. Para el desarrollo del trabajo se utilizó una base de datos colectada en un evento comunitario. Las informaciones se refieren a factores de riesgo, datos antropométricos, contraste de valores de glucemia, colesterol y presión arterial, ocurrencia de enfermedad cardiaca y otras. La estructura multidimensional fue elaborada y administrada por la herramienta Analysis Services. La población anciana correspondió a 40,4% del total, un tercio de esta población estaba con valores alterados de presión arterial sistémica, 53,8% presentaban índice de masa corporal arriba de 25Kg/m², 40,4% se referían a hipertensión y 20,3% diabetes mellitus. Se concluye que el control de factores de riesgo para DAC en clientes ancianos es esencial y que la tecnología de la información puede apoyar en la tomada de decisiones estratégicas de promoción de salud.<br>This study aimed to investigate the occurrence of risk factors for coronary artery disease among the elderly participants in a community campaign using a computational tool by nurses. In order to carry out the investigation, a database built during a particular event in the community has been used. The information concerns risk factors; anthropometric data; readings of glucose, cholesterol and blood pressure levels; occurrence of cardiac disease and others. The multidimensional structure was generated and handled by the Analysis Services tool. The elderly population represented 40.4% of the total, and one-third of that population showed altered levels of systemic blood pressure, 53.8% presented body mass index above 25 Kg/m², 40.3% reported hypertension and 20.3% diabetes mellitus. It can be inferred that it is essential to control risk factors for CAD among the elderly, and that information technology can be useful to make strategic decisions in health care promotion