HIV infection and age effects on striatal structure are additive.

The age of the HIV-infected population is increasing. Although many studies document gray matter volume (GMV) changes following HIV infection, GMV also declines with age. Findings have been inconsistent concerning interactions between HIV infection and age on brain structure. Effects of age, substance use, and inadequate viral suppression may confound identification of GMV serostatus effects using quantitative structural measures. In a cross-sectional study of HIV infection, including 97 seropositive and 84 seronegative, demographically matched participants, ages 30-70, we examined serostatus and age effects on GMV and neuropsychological measures. Ninety-eight percent of seropositive participants were currently treated with anti-retroviral therapies and all were virally suppressed. Gray, white, and CSF volumes were estimated using high-resolution T1-weighted MRI. Linear regression modeled effects of serostatus, age, education, comorbidities, and magnetic field strength on brain structure, using both a priori regions and voxel-based morphometry. Although seropositive participants exhibited significant bilateral decreases in striatal GMV, no serostatus effects were detected in the thalamus, hippocampus, or cerebellum. Age was associated with cortical, striatal, thalamic, hippocampal, and cerebellar GMV reductions. Effects of age and serostatus on striatal GMV were additive. Although no main effects of serostatus on neuropsychological performance were observed, serostatus moderated the relationship between pegboard performance and striatal volume. Both HIV infection and age were associated with reduced striatal volume. The lack of interaction of these two predictors suggests that HIV infection is associated with premature, but not accelerated, brain age. In serostatus groups matched on demographic and clinical variables, there were no observed differences in neuropsychological performance. Striatal GMV measures may be promising biomarker for use in studies of treated HIV infection.

Gender Trends in Academic Radiology Publication in the United States Revisited.

RATIONALE AND OBJECTIVES: Although substantial increases in publications by female academic radiologists have appeared over the last several decades, it is possible that the rate of increase is decreasing. We examined temporal trends in gender composition for full-time radiology faculty, radiology residents, and medical students over a 46-year period. METHODS: We examined authorship gender trends to determine if the increases in female authorship seen since 1970 have been sustained in recent years and whether female radiologists continue to publish in proportion to their numbers in academic departments. Original articles for selected years in Radiology and in the American Journal of Roentgenology between 1970 and 2016 were examined to determine the gender of first, corresponding, and last authors. Generalized linear models evaluated (1) changes in proportions of female authorship over time and (2) associations between proportions of female authorship and female radiology faculty representation. RESULTS: While linear increases in first, corresponding, and senior authorships were observed for female radiologists from 1970 to 2000, the rate of increase in female first and corresponding authorships then changed, with the slope of the first author relationship decreasing from 0.81 to 0.34, corresponding to 47% fewer female first authors added per year. In contrast, the proportion of female last authorship continued to increase at the same rate. The proportion of female first authorship was linearly related to the proportion of female radiology faculty from 1970 to 2016. CONCLUSIONS: Annual increases in first author academic productivity of female radiologists have lessened in the past 16 years, possibly related to reductions in the growth of female radiology faculty and trainees. As mixed, compared to homogeneous gender, authorship teams are associated with more citations, efforts to encourage more women to pursue careers in academic radiology could benefit the radiology research community.

Brain Structural Changes following HIV Infection: Meta-Analysis.

BACKGROUND: Numerous studies have used structural neuroimaging to measure HIV effects on brain macroarchitecture. While many have reported changes in total brain volume, gray matter volume, white matter volume, CSF volume, and basal ganglia volume following HIV infection, quantitative inconsistencies observed across studies are large. PURPOSE: Our aim was to evaluate the consistency and temporal stability of serostatus effects on a range of structural neuroimaging measures. DATA SOURCES: PubMed, reference lists, and corresponding authors. STUDY SELECTION: The meta-analysis included 19 cross-sectional studies reporting HIV effects on cortical and subcortical volume from 1993 to 2016. DATA ANALYSIS: Random-effects meta-analysis was used to estimate individual study standardized mean differences and study heterogeneity. Meta-regression was used to examine the effects of the study publication year. DATA SYNTHESIS: Meta-analysis revealed standardized mean differences related to the serostatus of -0.65 (P = .002) for total brain volume, -0.28 for gray matter volume (P = .008), -0.24 (P = .076) for white matter volume, and 0.56 (P = .001) for CSF volume. Basal ganglia volume differences related to serostatus were not significant. Nevertheless, estimates of between-study heterogeneity suggested that much of the observed variance was between studies. Publication year was associated with recent reductions in many neurostructural effects. LIMITATIONS: Many studies pooled participants with varying durations of treatment, disease, and comorbidities. Image-acquisition methods changed with time. CONCLUSIONS: While published studies of HIV effects on brain structure had substantial variations that are likely to result from changes in HIV treatment practice during the study period, quantitative neurostructural measures can reliably detect the effects of HIV infection during treatment, serving as reliable biomarkers.