Hooperashby9367

Aging of the aortic valve, characterized by leaflet thickening and loss of extensibility, leads to progressive changes in valve function. These age-related mechanisms have not been evaluated yet in sex-specific calcific aortic valve stenosis (CAVS) onset and progression. Recent studies reported the association between high aortic valve calcification (AVC) load and male gender in patients with CAVS while women present faster progression than men. To evaluate these age- and sex-specific differences, we performed a systematic review and meta-analysis with meta-regression. A systematic search related to AVC measured by computed tomography and gender-specific differences was conducted according to PRISMA guidelines. Seven studies, enrolling 1859 men and 1055 women, were included in the quantitative synthesis. We found a significant difference between men and women both in AVC load and density. AVC load mean difference (MD), between men and women, was 1131 ± 243 AU (p  less then  0.0001; I2 96.5 %, p  less then  0.001), while AVC density MD was 159 ± 20 AU/cm2 (p  less then  0.0001) without heterogeneity among the studies (I2 23.5, p = 0.3). Meta-regression analyses showed that AVC load MD positively correlated with age and other cardiovascular risk factors such as diabetes, hypertension, and coronary artery disease presence. Our meta-analysis shows a significant association of incremental AVC load with male gender, regardless of the individual anatomical characteristics and the cardiovascular risk factors. Further studies are needed i) to clarify if there are different sex-related pathophysiological processes driving the development and the progression of age-related CAVS, and ii) to determine if a sex-specific therapeutic strategy should be applied for CAVS treatment and/or prevention. V.White matter hyperintensities (WMHs) are frequently observed on brain scans of older individuals and are associated with cognitive impairment and vascular brain burden. Recent studies have shown that WMHs may only represent an extreme end of a diffuse pathological spectrum of white matter (WM) degeneration. The present study investigated the microstructural characteristics of WMHs using an advanced diffusion MRI modelling approach known as Single-Shell 3-Tissue Constrained Spherical Deconvolution (SS3T-CSD), which provides information on different tissue compartments within each voxel. The SS3T-CSD method may provide complementary information in the interpretation of pathological tissue through the tissue-specific microstructural compositions of WMHs. Data were obtained from stroke patients enrolled in the Cognition and Neocortical Volume After Stroke (CANVAS) study, a study examining brain volume and cognition after stroke. WMHs were segmented using an automated method, based on fluid attenuated inversion recovery (FLAIR) images. Automated tissue segmentation was used to identify normal-appearing white matter (NAWM). WMHs were classified into juxtaventricular, periventricular and deep lesions, based on their distance from the ventricles (3-10mm). We aimed to compare in stroke participants the microstructural composition of the different lesion classes of WMHs and compositions of NAWM to assess the in-vivo heterogeneity of these lesions. Results showed that the 3-tissue composition significantly differed between WMHs classes and NAWM. Specifically, the 3-tissue compositions for juxtaventricular and periventricular WMHs both exhibited a relatively greater fluid-like (free water) content, which is compatible with a presence of interstitial fluid accumulation, when compared to deep WMHs. These findings provide evidence of microstructural heterogeneity of WMHs in-vivo and may support new insights for understanding the role of WMH development in vascular neurodegeneration. With practice, humans improve their performance in a task by either optimizing a known strategy or discovering a novel, potentially more fruitful strategy. We investigated the neural processes underlying these two fundamental abilities by applying fMRI in a task with two possible alternative strategies. read more For analysis we combined time-resolved network analysis with Coherence Density Peak Clustering (Allegra et al., 2017), univariate GLM, and multivariate pattern classification. Converging evidence showed that the posterior portion of the default network, i.e. the precuneus and the angular gyrus bilaterally, has a central role in the optimization of the current strategy. These regions encoded the relevant spatial information, increased the strength of local connectivity as well as the long-distance connectivity with other relevant regions in the brain (e.g., visual cortex, dorsal attention network). The connectivity increase was proportional to performance optimization. By contrast, the anterior portion of the default network (i.e. medial prefrontal cortex) and the rostral portion of the fronto-parietal network were associated with new strategy discovery an early increase of local and long-range connectivity centered on these regions was only observed in the subjects who would later shift to a new strategy. Overall, our findings shed light on the dynamic interactions between regions related to attention and with cognitive control, underlying the balance between strategy exploration and exploitation. Results suggest that the default network, far from being "shut-down" during task performance, has a pivotal role in the background exploration and monitoring of potential alternative courses of action. BACKGROUND Spain is the European country with the highest number of Trypanosoma cruzi infected patients. Due to the cardiac complications that these patients can develop, it is of paramount importance to evaluate the value of the different heart diagnostic tools. METHOD In this observational study, we describe the main characteristics and data from electrocardiogram, chest X-ray, echocardiogram and cardiac magnetic resonance imaging (MRI) of 141 patients with Chagas' disease attended in a tertiary university hospital in Madrid from 2009 to 2018. RESULTS A total of 50 patients (35.4%) had at least one abnormal cardiac test 34.2% altered electrocardiogram (40/117), 24.5% altered echocardiogram (27/110) and 9.2% abnormal cardiac MRI (13/41). Of those 13 with a pathological MRI, 53.8% had normal results for any other test. The most frequent alterations observed were hypokinesia with decreased LVEF (left ventricular ejection fraction), dilatation of cavities and cardiac fibrosis. Two thirds of patients with abnormal cardiac test were asymptomatic.