Extraversion and Reward-Processing: Consolidating Evidence from an Electroencephalographic Index of Reward-Prediction-Error

Trait extraversion has been theorized to emerge from functioning of the dopaminergic reward system. Recent evidence for this view shows that extraversion modulates the scalp-recorded Reward Positivity, a putative marker of dopaminergic signaling of reward-prediction-error. We attempt to replicate this association amid several improvements on previous studies in this area, including an adequately-powered sample (N = 100) and thorough examination of convergent-divergent validity. Participants completed a passive associative learning task presenting rewards and non-rewards that were either predictable or unexpected. Frequentist and Bayesian analyses confirmed that the scalp recorded Reward Positivity (i.e. the Feedback-Related-Negativity contrasting unpredicted rewards and unpredicted non-rewards) was significantly associated with three measures of extraversion and unrelated to other basic traits from the Big Five personality model. Narrower sub-traits of extraversion showed similar, though weaker associations with the Reward Positivity. These findings consolidate previous evidence linking extraversion with a putative marker of dopaminergic reward-processing

Osteopontin as a marker of endometriosis — the current state of knowledge

Endometriosis is a disease affecting mainly women of childbearing age, where ectopic endometrial lesions occur outside the uterine cavity. Its main symptoms are chronic pain, infertility and dysmenorrhea. These symptoms significantly reduce the quality of life of patients suffering from this disease. Despite advanced research, the exact etiopathogenesis of endometriosis is still unknown and various theories explaining its origin are postulated in the course of research. Osteopontin is a protein originally discovered in the bone matrix and then in various tissues and organs of the body such as the kidneys, lungs, reproductive organs, vascular epithelial cells or some cancer cells. It is involved in processes such as cell adhesion and migration, angiogenesis and the promotion of tumor cell metastasis. These processes play a role in the pathogenesis of endometriosis, hence intensive research on the role of osteopontin in the development of this disease is an interesting research direction

Application of the anatomical fiducials framework to a clinical dataset of patients with Parkinson’s disease

Establishing spatial correspondence between subject and template images is necessary in neuroimaging research and clinical applications such as brain mapping and stereotactic neurosurgery. Our anatomical fiducial (AFID) framework has recently been validated to serve as a quantitative measure of image registration based on salient anatomical features. In this study, we sought to apply the AFIDs protocol to the clinic, focusing on structural magnetic resonance images obtained from patients with Parkinson’s disease (PD). We confirmed AFIDs could be placed to millimetric accuracy in the PD dataset with results comparable to those in normal control subjects. We evaluated subject-to-template registration using this framework by aligning the clinical scans to standard template space using a robust open preprocessing workflow. We found that registration errors measured using AFIDs were higher than previously reported, suggesting the need for optimization of image processing pipelines for clinical grade datasets. Finally, we examined the utility of using point-to-point distances between AFIDs as a morphometric biomarker of PD, finding evidence of reduced distances between AFIDs that circumscribe regions known to be affected in PD including the substantia nigra. Overall, we provide evidence that AFIDs can be successfully applied in a clinical setting and utilized to provide localized and quantitative measures of registration error. AFIDs provide clinicians and researchers with a common, open framework for quality control and validation of spatial correspondence and the location of anatomical structures, facilitating aggregation of imaging datasets and comparisons between various neurological conditions

Comparison of dydrogesterone plus progesterone gel with subcutaneous aqueous progesterone plus progesterone gel for luteal phase supplementation of subsequent in vitro cycle in women after previous cycle failure

Objectives: The luteal phase supplementation (LPS) of the in vitro fertilization (IVF) cycle is crucial to increase the chance of a live birth. There is no preferred progestogen for use in the general population. The optimal progestogen regimen in the event of prior IVF failure is unknown. The aim was to compare the live birth rate for dydrogesterone plus progesterone gel versus aqueous progesterone plus progesterone gel in LPS of the IVF cycle in women with at least one previous IVF failure. Material and methods: A prospective randomized single-center study enrolled women with at least one previous IVF failure undergoing another IVF cycle. Women were randomly assigned in a 1:1 ratio to 2 arms depending on LPS protocol: dydrogesterone (Duphaston®) + progesterone in vaginal gel (Crinone®) vs aqueous progesterone solution in subcutaneous injection (Prolutex®) + progesterone in vaginal gel (Crinone®). All women underwent fresh embryo transfer. Results: The live birth rate with one prior IVF failure was 26.9% for D + PG vs 21.2% for AP + PG (p = 0.54), and with at least two IVF failures: 16% for D + PG vs 31.1% for AP + PG (p = 0.16). There were no significant differences in live birth rates between protocols, regardless of the number of prior IVF failures. Conclusions: In light of the evidence from this study that neither of the two LPS protocols is more effective in women with prior IVF failure, other factors, such as potential side effects, dosing convenience and patient preference, should be considered when choosing a treatment

Male factor infertility in the Comprehensive Procreational Health Protection Program at the University Hospital in Cracow

Objectives: Quality of semen is one of the most important factors contributing to couples' chance of natural conception. There are many confirmed or potential factors that influence semen analysis results. To estimate the incidence and analyze male factor infertility. Material and methods: The retrospective observational study was in the Clinical Department of Gynecological Endocrinology and Gynecology, University Hospital in Krakow. The study included men from subfertile population, aged ≥ 18 years, without prior diagnosis and obvious cause of infertility, whose initial seminograms were used to characterize the population. Seminograms of men remaining in the follow-up were used to analyze the variability of sperm parameters in relation to lifestyle modification and the use of fertility supplements containing antioxidants. Control semen tests were performed at 1-3-month intervals. Results: The study included 870 men. In 68.5% of men, at least one abnormal sperm parameter was found and 40.7% had complex sperm abnormalities. Averaged values of sperm parameters of men from subfertile couples were within the WHO reference ranges, except for the normal morphology, whose median was 3.8%. No significant differences in the selected sperm parameters after the implementation of conservative management were observed. The percentage of pregnancies not resulting from IVF in the follow-up population was 7.7%. Conclusions: One semen sample is representative of an individual in the diagnostics of male infertility. Expectant management and lifestyle modification should not be proposed as first-line treatment when more effective procedures are available

Tricyanidoferrates(−IV) and ruthenates(−IV) with non‐innocent cyanido ligands

Exceptionally electron-rich, nearly trigonal-planar tricyanidometalate anions [Fe(CN)(3)](7-) and [Ru(CN)(3)](7-) were stabilized in LiSr3[Fe(CN)(3)] and AE(3.5)[M(CN)(3)] (AE=Sr, Ba; M=Fe, Ru). They are the first examples of group 8 elements with the oxidation state of -IV. Microcrystalline powders were obtained by a solid-state route, single crystals from alkali metal flux. While LiSr3[Fe(CN)(3)] crystallizes in P6(3)/m, the polar space group P6(3) with three-fold cell volume for AE(3.5)[M(CN)(3)] is confirmed by second harmonic generation. X-ray diffraction, IR and Raman spectroscopy reveal longer C-N distances (124-128 pm) and much lower stretching frequencies (1484-1634 cm(-1)) than in classical cyanidometalates. Weak C-N bonds in combination with strong M-C pi-bonding is a scheme also known for carbonylmetalates. Instead of the formal notation [Fe-IV(CN-)(3)](7-), quantum chemical calculations reveal non-innocent intermediate-valent CN1.67- ligands and a closed-shell d(10) configuration for Fe, that is, Fe2-

Afforestation impact on soil temperature in regional climate model simulations over Europe

In the context of the first phase of the Coordinated Regional Climate Downscaling Experiment in the European domain (EURO-CORDEX) flagship plot study on Land Use and Climate Across Scales (LUCAS), we investigate the biophysical impact of afforestation on the seasonal cycle of soil temperature over the European continent with an ensemble of 10 regional climate models. For this purpose, each ensemble member performed two idealized land cover experiments in which Europe is covered either by forests or grasslands. The multi-model mean exhibits a reduction of the annual amplitude of soil temperature (AAST) due to afforestation over all European regions, although this is not a robust feature among the models. In the Mediterranean, the spread of simulated AAST response to afforestation is between −4 and +2 ∘C at 1 m below the ground, while in Scandinavia the inter-model spread ranges from −7 to +1 ∘C. We show that the large range in the simulated AAST response is due to the representation of the summertime climate processes and is largely explained by inter-model differences in leaf area index (LAI), surface albedo, cloud fraction and soil moisture, when all combined into a multiple linear regression. The changes in these drivers essentially determine the ratio between the increased radiative energy at surface (due to lower albedo in forests) and the increased sum of turbulent heat fluxes (due to mixing-facilitating characteristics of forests), and consequently decide the changes in soil heating with afforestation in each model. Finally, we pair FLUXNET sites to compare the simulated results with observation-based evidence of the impact of forest on soil temperature. In line with models, observations indicate a summer ground cooling in forested areas compared to open lands. The vast majority of models agree with the sign of the observed reduction in AAST, although with a large variation in the magnitude of changes. Overall, we aspire to emphasize the biophysical effects of afforestation on soil temperature profile with this study, given that changes in the seasonal cycle of soil temperature potentially perturb crucial biochemical processes. Robust knowledge on biophysical impacts of afforestation on soil conditions and its feedbacks on local and regional climate is needed in support of effective land-based climate mitigation and adaption policies