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Limited efforts have been paid to evaluate the potential relationships between structural and functional brain imaging and intelligence until now. We performed a two-stage analysis to systematically explore the relationships between 3144 brain image-derived phenotypes (IDPs) and intelligence. First, by integrating genome-wide association studies (GWAS) summaries data of brain IDPs and two GWAS summary datasets of intelligence, we systematically scanned the relationship between each of the 3144 brain IDPs and intelligence through linkage disequilibrium score regression (LDSC) analysis. Second, using the individual-level genotype and intelligence data of 160 124 subjects derived from UK Biobank datasets, polygenetic risk scoring (PRS) analysis was performed to replicate the common significant associations of the first stage. In the first stage, LDSC identified 6 and 2 significant brain IDPs significantly associated with intelligence dataset1 and dataset2, respectively. It is interesting that NET100_0624 showed genetic correlations with intelligence in the two datasets of intelligence. After adjusted for age and sex as the covariates, NET100_0624 (P&nbsp;= 5.26 × 10-20, Pearson correlation coefficients = -0.02) appeared to be associated with intelligence by PRS analysis of UK Biobank samples. Our findings may help to understand the genetic mechanisms of the effects of brain structure and function on the development of intelligence. © The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail journals.permission@oup.com.BACKGROUND Antibody detection is the main method for diagnosis of coccidioidomycosis but has limitations. The Coccidioides antigen enzyme immunoassay is recommended for testing cerebrospinal fluid in suspected meningitis. Reports on urine and serum antigen detection evaluated small numbers of patients who were mostly immunocompromised. The purpose of this study was to assess the accuracy of combined antibody and antigen detection for diagnosis. METHODS A retrospective study, including all patients in whom Coccidioides antigen detection in serum was performed between January 2013 and May 2017 was conducted at Valleywise Health Medical Center (formerly Maricopa Integrated Health System). Sensitivity and specificity of antigen and antibody were evaluated in 158 cases and 487 controls. RESULTS The sensitivity of antibody detection by ID was 84.2%. The sensitivity of antigen detection was 57.0% if both urine and serum were tested and 36.7% if urine alone was tested. The sensitivity of combining antigen and ID antibody detection was 93.0%. The sensitivity of urine and serum antigen detection was 55.4% in proven and 58.7% in probable cases, 79.1% in disseminated and 41.6% in pulmonary cases, 74.7% in immunocompromised and 40.0% in immunocompetent patients. Specificity was 99.4% for antigen detection and 96.5% for ID antibody detection. Diagnostic accuracy was 95.4% for ID antibody and antigen detection, 93.6% for ID antibody alone and 89.1% for pathology or culture. CONCLUSIONS These findings support combined antibody and antigen detection for diagnosis of progressive coccidioidomycosis. The diagnosis may have been missed if antigen detection was not performed. © The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America.Adaptive behavior requires the comparison of outcome predictions with actual outcomes (e.g., performance feedback). This process of performance monitoring is computed by a distributed brain network comprising the medial prefrontal cortex (mPFC) and the anterior insular cortex (AIC). Despite being consistently co-activated during different tasks, the precise neuronal computations of each region and their interactions remain elusive. In order to assess the neural mechanism by which the AIC processes performance feedback, we recorded AIC electrophysiological activity in humans. We found that the AIC beta oscillations amplitude is modulated by the probability of performance feedback valence (positive or negative) given the context (task and condition difficulty). Furthermore, the valence of feedback was encoded by delta waves phase-modulating the power of beta oscillations. Finally, connectivity and causal analysis showed that beta oscillations relay feedback information signals to the mPFC. These results reveal that structured oscillatory activity in the anterior insula encodes performance feedback information, thus coordinating brain circuits related to reward-based learning. © The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail journals.permission@oup.com.Bleeding is a known complication of sickle cell disease (SCD) and includes hemorrhagic stroke, hematuria, and vitreous hemorrhage. [https://www.selleckchem.com/products/a-438079-hcl.html A-438079] However, the incidence of bleeding events in patients with SCD has not been well described. We present a retrospective, population-based study examining the cumulative incidence of bleeding in 6423 patients with SCD from 1991 to 2014. We also studied risk factors associated with bleeding and the effects of bleeding on mortality, using Cox proportional hazards regression models. We used California emergency department and hospitalization databases to identify patients with SCD with intracranial hemorrhage, gastrointestinal (GI) bleeding, hemophthalmos, gross hematuria, epistaxis, menorrhagia, and other bleeding events. The cumulative incidence of any first bleeding event at age 40 years was 21% (95% confidence interval [CI], 19.8%-22.3%), increasing with age to 41% by age 60 years (95% CI, 38.8%-43.1%). The majority of bleeding events were GI (41.6%), particularly from the upper GI tract. A higher bleeding risk was associated with increased frequency of hospitalization (hazard ratio [HR], 2.16; 95% CI, 1.93-2.42), venous thromboembolism 180 days before bleeding event (HR, 4.24; 95% CI, 2.86-6.28), osteonecrosis of the femoral head (HR, 1.25; 95% CI, 1.08-1.46), and ischemic stroke (HR, 1.65; 95% CI, 1.20-2.26). Bleeding was also associated with a twofold increased risk for death (HR, 2.09; 95% CI, 1.82-2.41) adjusted for other SCD-related complications. Our novel finding of a high incidence of bleeding in patients with SCD, particularly from the upper GI tract, suggests that patients with SCD may be predisposed to bleeding, with possible etiologies including increased use of nonsteroidal anti-inflammatory drugs, mucosal infarction from vascular occlusion by sickled red blood cells, and increased stress ulceration from frequent hospitalization. © 2020 by The American Society of Hematology.