The opposed forces of differentiation and admixture across glacial cycles in the butterfly Aglais urticae.

Glacial cycles lead to periodic population interbreeding and isolation in warm-adapted species, which impact genetic structure and evolution. However, the effects of these processes on highly mobile and more cold-tolerant species are not well understood. This study aims to shed light on the phylogeographic history of Aglais urticae, a butterfly species with considerable dispersal ability, and a wide Palearctic distribution reaching the Arctic. Through the analysis of genomic data, four main genetic lineages are identified: European, Sierra Nevada, Sicily/Calabria/Peloponnese, and Eastern. The results indicate that the Sardo-Corsican endemic taxon ichnusa is a distinct species. The split between the relict lineages in southern Europe and the main European lineage is estimated to have happened 400-450 thousand years ago, with admixture observed during the Quaternary glacial cycles, and still ongoing, albeit to a much smaller extent. These results suggest that these lineages may be better treated as subspecific parapatric taxa. Ecological niche modelling supported the existence of both Mediterranean and extra-Mediterranean refugia during the glacial periods, with the main one located on the Atlantic coast. Nevertheless, gene flow between populations was possible, indicating that both differentiation and admixture have acted continuously across glacial cycles in this cold-tolerant butterfly, generally balancing each other but producing differentiated lineages in the southern peninsulas. We conclude that the population dynamics and the processes shaping the population genetic structure of cold-adapted species during the Quaternary ice ages may be different than those classically accepted for warm-adapted species.

Periorbital necrotizing fasciitis: clinical perspectives on nine cases.

A multicenter review of Periorbital Necrotizing Fasciitis including nine cases, aged 41 to 82, mostly female, and mainly post-traumatic or idiopathic. Streptococcus pyogenes was the most frequent pathogen. Treatment involved debridement alongside antibiotic therapy in all cases. Two cases experienced toxic shock, with no fatalities. Visual outcomes varied from exenteration to preserved visual acuity with minimal aesthetic impact. Early detection and prompt intervention are paramount due to the significant risks associated with this condition, which may lead to severe complications ranging from vision loss to systemic decline or death.

Enhancing the Minimum Awareness Failure Distance in V2X Communications: A Deep Reinforcement Learning Approach.

Vehicle-to-everything (V2X) communication is pivotal in enhancing cooperative awareness in vehicular networks. Typically, awareness is viewed as a vehicle's ability to perceive and share real-time kinematic information. We present a novel definition of awareness in V2X communications, conceptualizing it as a multi-faceted concept involving vehicle detection, tracking, and maintaining their safety distances. To enhance this awareness, we propose a deep reinforcement learning framework for the joint control of beacon rate and transmit power (DRL-JCBRTP). Our DRL-JCBRTP framework integrates LSTM-based actor networks and MLP-based critic networks within the Soft Actor-Critic (SAC) algorithm to effectively learn optimal policies. Leveraging local state information, the DRL-JCBRTP scheme uses an innovative reward function to increase the minimum awareness failure distance. Our SLMLab-Gym-VEINS simulations show that the DRL-JCBRTP scheme outperforms existing beaconing schemes in minimizing awareness failure probability and maximizing awareness distance, ultimately improving driving safety.

Desymmetrization of Cyclic Sulfonimidamides by Asymmetric Allylation.

Herein we report the first transition metal-catalyzed approach to the enantioenriched synthesis of cyclic sulfonimidamides relying on commercially available palladium catalysts and ligands. High-throughput experimentation (HTE) was employed to identify the optimal catalyst system and solvent. The method is applied to a variety of saturated and unsaturated rings and exhibits the highest selectivity for 2-substituted allyl electrophiles. The products are further elaborated to complex, tricyclic scaffolds. DFT experiments presented herein highlight the key ligand substrate interactions leading to the high levels of enantioselectivity.

Discovery of antimicrobial peptides clostrisin and cellulosin from Clostridium: insights into their structures, co-localized biosynthetic gene clusters, and antibiotic activity.

Antimicrobial resistance presents a substantial threat to global public health, demanding urgent attention and action. This study focuses on lanthipeptides, ribosomally encoded peptides that display significant structural diversity and hold promising potential as antibiotics. Genome mining was employed to locate biosynthetic gene clusters (BGCs) containing class II lanthipeptide synthetases encoded by lanM genes. A phylogenetic study analyzing homologous sequences of functional LanM sequences revealed a unique evolutionary clade of 17 LanM proteins associated with 12 Clostridium bacterial genomes. In silico exploration identified nine complete BGCs, including one super-cluster containing two co-localized operons from Clostridium cellulovorans 743B, that encode for two new peptides named clostrisin and cellulosin. Each operon was heterologously expressed in Escherichia coli. Molecular weights associated with the expected post-translational modifications of the purified lanthipeptide were confirmed by MS-MS/MS analysis for cellulosin, while clostrisin was not post-translationally modified. Both peptides demonstrated antimicrobial activity against multidrug-resistant bacteria, such as a clinical strain of Staphylococcus epidermidis MIQ43 and Pseudomonas aeruginosa PA14. This is the first report of lanthipeptides from the Clostridium genus produced with its native biosynthetic machinery, as well as chemically and biologically characterized. This study showcases the immense potential of genome mining in identifying new RiPP synthetases and associated bioactive peptides.

Programming the Cellular Uptake of Protein-Based Viromimetic Nanoparticles for Enhanced Delivery.

Viral mimetics is a noteworthy strategy to design efficient delivery systems without the safety drawbacks and engineering difficulties of modifying viral vectors. The triblock polypeptide CSB was previously designed de novo to self-assemble with DNA into nanocomplexes called artificial virus-like particles (AVLPs) due to their similarities to viral particles. Here, we show how we can incorporate new blocks into the CSB polypeptide to enhance its transfection without altering its self-assembly capabilities and the stability and morphology of the AVLPs. The addition of a short peptide (aurein) and/or a large protein (transferrin) to the AVLPs improved their internalization and specific targeting to cells by up to 11 times. Overall, these results show how we can further program the cellular uptake of the AVLPs with a wide range of bioactive blocks. This can pave the way to develop programmable and efficient gene delivery systems.

Automatic Deep Learning-Based Pipeline for Automatic Delineation and Measurement of Fetal Brain Structures in Routine Mid-Trimester Ultrasound Images.

INTRODUCTION: The aim of this study was to develop a pipeline using state-of-the-art deep learning methods to automatically delineate and measure several of the most important brain structures in fetal brain ultrasound (US) images. METHODS: The dataset was composed of 5,331 images of the fetal brain acquired during the routine mid-trimester US scan. Our proposed pipeline automatically performs the following three steps: brain plane classification (transventricular, transthalamic, or transcerebellar plane); brain structures delineation (9 different structures); and automatic measurement (from the structure delineations). The methods were trained on a subset of 4,331 images and each step was evaluated on the remaining 1,000 images. RESULTS: Plane classification reached 98.6% average class accuracy. Brain structure delineation obtained an average pixel accuracy higher than 96% and a Jaccard index higher than 70%. Automatic measurements get an absolute error below 3.5% for the four standard head biometries (head circumference, biparietal diameter, occipitofrontal diameter, and cephalic index), 9% for transcerebellar diameter, 12% for cavum septi pellucidi ratio, and 26% for Sylvian fissure operculization degree. CONCLUSIONS: The proposed pipeline shows the potential of deep learning methods to delineate fetal head and brain structures and obtain automatic measures of each anatomical standard plane acquired during routine fetal US examination.

Eyelid atypical fibroxanthoma: a rare challenging entity.

Atypical fibroxanthoma (AFX) is a rare neoplasm, with a limited number of cases reported in the periocular region. In this case report, we detail a 63-year-old woman who presented with a polypoid, exophytic lesion on her right upper eyelid that had been progressing for a year. The lesion was meticulously excised with security margins and reconstructed using a glabellar flap. Following a thorough microscopic and immunohistochemical analysis, AFX was diagnosed. Despite its sometimes clinical and histological benign appearance, AFX is classified as a malignant neoplasm; however, it carries an excellent prognosis with low metastasis and recurrence rates. Complete excision with safety margins is essential and an adequate post-operative surveillance is recommended. Owing to its rarity, ophthalmologists should remain vigilant and include AFX in their differential diagnosis, as the tumor's benign appearance may lead to misdiagnosis of this malignant entity.

Medicinal plants used by rural communities in the arid zone of Viesca and Parras Coahuila in northeast Mexico.

This study is the first record of medicinal plants in the southwest of the Coahuila state, an arid zone where extreme dry conditions prevail. One hundred twenty-two residents (in sixteen communities) were interviewed. The residents were questioned with a questionnaire-guided ethnomedical survey protocol about the various plants used. Seventy-seven species of medicinal plants belonging to 36 botanical families were cited. The highest use-value (UV) was calculated for Lippia graveolens Kunth (0.30); Aloe vera (L.) Burm.f. (0.20); Eucalyptus abdita Brooker & Hopper, Chamaemelum nobile (L.) All. (0.16); Mentha spicata L. (0.15) and Salvia officinalis L. (0.10). Informant consensus factor (ICF) about usages of medicinal plants ranges from 0.41 to 0.80; the highest level of agreement was determined between the informants and Respiratory System Diseases (0.80). The highest fidelity level (FL) values (100%) were identified in Flourensia cernua DC., Artisia ludoviciana Nutt., and Parthenium incanum Kunth to Gastro-intestinal System Diseases; Eucalyptus abdita Brooker & Hopper, Bougainvillea berberidifolia Heimerl, and Lippia graveolens Kunth to Respiratory System Diseases (RSD) and Cyclolepis genistoides D.Don and Ephedra antisyphilitica Berland. ex C.A.Mey. to Obstetrics, Gynecology and Urinary tract Diseases. These last two medicinal plant species ("palo azul" and "pitoreal") used by the rural communities in Viesca in the treatment of urinary tract infections and kidney stones have not been reported previously. These findings can provide new research directions for further phytochemical studies. The present study revealed that the residents are rich in ethno-medicinal knowledge and actively use medicinal plants to treat various diseases. New phytochemical and pharmacological research are needed to confirm the therapeutic potential and safety of the identified plants.

Identification of BiP as a CB1 Receptor-Interacting Protein That Fine-Tunes Cannabinoid Signaling in the Mouse Brain.

Cannabinoids, the bioactive constituents of cannabis, exert a wide array of effects on the brain by engaging Type 1 cannabinoid receptor (CB1R). Accruing evidence supports that cannabinoid action relies on context-dependent factors, such as the biological characteristics of the target cell, suggesting that cell population-intrinsic molecular cues modulate CB1R-dependent signaling. Here, by using a yeast two-hybrid-based high-throughput screening, we identified BiP as a potential CB1R-interacting protein. We next found that CB1R and BiP interact specifically in vitro, and mapped the interaction site within the CB1R C-terminal (intracellular) domain and the BiP C-terminal (substrate-binding) domain-α. BiP selectively shaped agonist-evoked CB1R signaling by blocking an "alternative" Gq/11 protein-dependent signaling module while leaving the "classical" Gi/o protein-dependent inhibition of the cAMP pathway unaffected. In situ proximity ligation assays conducted on brain samples from various genetic mouse models of conditional loss or gain of CB1R expression allowed to map CB1R-BiP complexes selectively on terminals of GABAergic neurons. Behavioral studies using cannabinoid-treated male BiP+/- mice supported that CB1R-BiP complexes modulate cannabinoid-evoked anxiety, one of the most frequent undesired effects of cannabis. Together, by identifying BiP as a CB1R-interacting protein that controls receptor function in a signaling pathway- and neuron population-selective manner, our findings may help to understand the striking context-dependent actions of cannabis in the brain.SIGNIFICANCE STATEMENT Cannabis use is increasing worldwide, so innovative studies aimed to understand its complex mechanism of neurobiological action are warranted. Here, we found that cannabinoid CB1 receptor (CB1R), the primary molecular target of the bioactive constituents of cannabis, interacts specifically with an intracellular protein called BiP. The interaction between CB1R and BiP occurs selectively on terminals of GABAergic (inhibitory) neurons, and induces a remarkable shift in the CB1R-associated signaling profile. Behavioral studies conducted in mice support that CB1R-BiP complexes act as fine-tuners of anxiety, one of the most frequent undesired effects of cannabis use. Our findings open a new conceptual framework to understand the striking context-dependent pharmacological actions of cannabis in the brain.

1,3-Asymmetric Induction in Diastereoselective Allylations of Chiral N-Tosyl Imines.

Lewis acid mediated allylations of ß-alkoxy N-tosyl imines using allyltrimethylsilane lead to 3-alkoxy homoallylic N-tosyl amines with anti-selectivity. Two methods of Cu(OTf)2-mediated allylations are reported herein, demonstrating that diastereoselectivity can be achieved through 1,3 acyclic stereocontrol of ß-chiral aldimines. Observed selectivity trends and computational evidence suggest selectivity arises through the formation of a six-membered ring chelate. The product ratios of these allylations are dependent on conformational preferences of the chelate and steric effects in the transition-state structures.

Larval parasitism in a specialist herbivore is explained by phenological synchrony and host plant availability.

Parasitism is a key factor in the population dynamics of many herbivorous insects, although its impact on host populations varies widely, for instance, along latitudinal and altitudinal gradients. Understanding the sources of geographical variation in host-parasitoid interactions is crucial for reliably predicting the future success of the interacting species under a context of global change. Here, we examine larval parasitism in the butterfly Aglais urticae in south-west Europe, where it is a mountain specialist. Larval nests were sampled over 2 years along altitudinal gradients in three Iberian mountain ranges, including the Sierra Nevada, home to its southernmost European population. Additional data on nettle condition and adult butterflies were obtained in the study areas. These data sources were used to investigate whether or not differences in parasitism rates are related to the geographical position and phenology of the host, and to the availability of the host plants. Phenological differences in the host populations between regions were related to the severity of summer drought and the corresponding differences in host plant availability. At the trailing-edge of its distribution, the butterfly's breeding season was restricted to the end of winter and spring, while in its northern Iberian range the season was prolonged until mid-summer. Although parasitism was an important source of mortality in all regions, parasitism rates and parasitoid richness were highest in the north and lowest in the south. Moreover, within a region, there was a notable increase in parasitism rates over time, which probably led to selection against an additional late summer host generation in northern regions. Conversely, the shorter breeding season in Sierra Nevada resulted in a loss of synchrony between the host and one important late season parasitoid, Sturmia bella, which may partly explain the high density of this butterfly species at the trailing-edge of its range. Our results support the key role of host phenology in accounting for differences in parasitism rates between populations. They also provide insights into how climate through host plant availability affects host phenology and, ultimately, the impact of parasitism on host populations.

Biochemical assessment of adrenal insufficiency after adrenalectomy for non-cortisol secreting tumors: clinical correlation and recommendations.

BACKGROUND: Data regarding changes in cortisol axis after adrenalectomy for non-cortisol secreting tumors and their correlation with adrenal insufficiency are limited. Our aim was to analyze these changes and their clinical correlations to guide management after adrenalectomy for non-Cushing's tumors. METHODS: Following IRB approval, postoperative cortisol axis changes were analyzed in patients who underwent unilateral adrenalectomy for non-Cushing's tumors. A morning serum cortisol of ≥ 10 µg/dl was accepted as a sufficient adrenal response. RESULTS: 223 adrenalectomies were analyzed. In 63% of patients, POD1 serum cortisol was ≥ 10 µg/dl and in 37% < 10 µg/dl. No patient with a POD1 cortisol ≥ 10 µg/dl developed AI symptoms, whereas symptoms of AI were observed in 4% of those with < 10 µg/dl. In patients with a POD1 cortisol of < 10 µg/dl, the rate of steroid replacement therapy initiation was 100%, 8%, and 25% when the decision was based on serum cortisol, clinical symptoms, and serum cortisol plus ACTH stimulation test results, respectively. In 90% of asymptomatic patients, hypocortisolemia resolved uneventfully within a week on repeat morning cortisol testing. 75% of patients with hypocortisolemia on POD1 demonstrated an adequate cortisol response to ACTH stimulation test. CONCLUSION: Although postoperative hypocortisolemia was observed in 37% of patients undergoing unilateral adrenalectomy for non-cortisol secreting tumors, majority did not develop symptoms of adrenal insufficiency. All three steroid initiation approaches appeared safe, with management based on clinical symptoms or selective ACTH stimulation testing sparing more patients from steroids compared to steroid initiation based on POD 1 cortisol levels alone.

Can effective pedagogy be ensured in minimally invasive surgery e-learning?

INTRODUCTION: Effectiveness of e-learning diminishes without the support of a pedagogical model to guide its use. In minimally invasive surgery (MIS), this has been reported as a limitation when technology is used to deliver contents without a sound pedagogical background. MATERIAL AND METHODS: We describe how a generic pedagogical model, the 3D pedagogy framework, can be used for setting learning outcomes and activities in e-learning platforms focused on MIS cognitive skills. A demonstrator course on Nissen fundoplication was developed following the model step-by-step in the MISTELA learning platform. Course design was informed by Kolb's Experiential learning model. Content validation was performed by 13 MIS experts. RESULTS: Ten experts agreed on the suitability of content structuring done according to the pedagogical model. All experts agreed that the course provides means to assess the intended learning outcomes. CONCLUSIONS: This work showcases how a general-purpose e-learning framework can be accommodated to the needs of MIS training without limiting the course designers' pedagogical approach. Key advances for its success include: (1) proving the validity of the model in the wider scope of MIS skills and (2) raising awareness amongst stakeholders on the need of developing training plans with explicit, rather than assumed, pedagogical foundations. Abbreviations: MIS: minimally invasive surgery; TEL: technology enhanced learning.

Research biopsies in patients with gynecologic cancers: patient-reported outcomes, perceptions, and preferences.

BACKGROUND: Despite the growing integration of mandatory biopsies for correlative endpoints within oncology clinical trials, there are sparse data on patient-reported outcomes, perceptions, and preferences. OBJECTIVE: This study aimed to prospectively assess the impact of research biopsies on the quality of life in patients with gynecologic cancer, evaluate patient-reported outcomes, and determine factors associated with patients' willingness to undergo sequential biopsies. STUDY DESIGN: We conducted a prospective study in patients with gynecologic malignancies undergoing research biopsies between 2015 and 2019 at Princess Margaret Cancer Centre (ClinicalTrials.gov Identifier: NCT02334761). Here, we report the results of the paper-based surveys performed before and 1 week after biopsy. Although the questionnaires each assessed the impact of anxiety using a modified version of the Hospital Anxiety and Depression Scale, the postbiopsy questionnaire specifically assessed the likelihood of future biopsies, postbiopsy symptoms, complications, and perceptions. RESULTS: A total of 129 patients were enrolled, of which 91 (70.5%) completed at least 1 questionnaire. These patients had either ovarian (89%; 81 of 91) or endometrial cancer (11%; 10 of 91). Of all biopsies taken, 75% were from the abdomen or pelvis (67 of 89). There was 1 clinician-reported complication, a perihepatic hematoma (1%). Pain during the biopsy and physical discomfort were experienced by 60.3% (41 of 68) and 61.8% (42 of 68), respectively. Embarrassment and loss of dignity were experienced by 13.2% (9 of 68) and 11.8% (8 of 68), respectively. Although the mean Hospital Anxiety and Depression Scale score was in the normal range before and after biopsy, there was a significant decline in the total score after the biopsy (prebiopsy, 5.3 [standard deviation, 4.7] vs postbiopsy, 3.7 [standard deviation, 4.5]; P=.005); 84% of subjects (58 of 69) stated that they would definitely or likely consent to another biopsy. There was no impact on patients' willingness for future biopsies based on Eastern Cooperative Oncology Group status, biopsy site, age, number of cores, and pain during the biopsy; however, subjects who reported feeling physically uncomfortable (odds ratio, 0.14; P=.005), embarrassed (odds ratio, 0.03; P=.004) or experienced loss of dignity (odds ratio, 0.05; P=.01) during the biopsy and those who experienced flu-like symptoms (odds ratio, 0.2; P=.018) or felt feverish (odds ratio, 0.2; P=.035) 1 week after biopsy, were less likely to undergo a sequential biopsy. Similarly, those with higher Hospital Anxiety and Depression Scale scores before biopsy (odds ratio, 0.83; P=.008) and after biopsy (odds ratio, 0.8; P=.003) were less likely to consent for another biopsy. CONCLUSION: Research biopsies were generally well accepted. Most patients (83%) were willing to undergo serial biopsies if necessary. Addressing the potentially modifiable psychosocial aspects of the procedure may improve the experience with research biopsies for patients with gynecologic cancers.

Intra- and interspecific variation in the responses of insect phenology to climate.

Phenological change is the most widely documented biological impact of climate change, but shows marked variation in magnitude among populations and species. Thus, quantifying the environmental factors and organismal differences driving this intra- and interspecific variability in phenology is vital to understand and forecast the ecological consequences of climate change. Here, we test intra- and interspecific differences for a set of butterfly species in the organismal sensitivity of flight phenology and its dependence on environmental factors, using as our model system an elevation gradient in a Mediterranean mountain range where temperature and relative humidity vary substantially over space and time. We use field-collected meteorological data, and butterfly counts for 20 univoltine species over 14 years, to test the relative effects on phenology of temperature and relative humidity, the sensitivity of phenology to spatial and temporal variation in temperature and whether ecological traits account for inter-specific variation in sensitivity. For all species, temperature in the months immediately preceding adult emergence had the strongest relationship with phenology. All species appeared earlier in warmer years, with those flying earlier in the season showing the greatest sensitivity to annual (temporal) variation in temperature. However, only a minority of species showed evidence of plastic, space-for-time responses to temperature. Instead, most species showed strong evidence that phenology was more sensitive to temporal than spatial variation in temperature. Our results support the dominant influence of temperature on phenology, even in Mediterranean environments suffering summer drought. They also suggest that accurate forecasts of species' phenological shifts could require the isolation of spatial from temporal components of temperature variation, because the sensitivity of populations and species may differ across these two dimensions. The factors driving synchronisation of phenology over space merit particular research in the context of climate change, given their potential to expose populations simultaneously to environmental extremes.

Evaluation of Platelet Rich Fibrin Obtained Using Different Centrifugation Parameters as a Tool for Regenerative Medicine.

BACKGROUND: Platelet-rich fibrin (PRF) is a biomaterial widely used in the field of regenerative medicine. The purpose of this work was to analyze the structure and biomolecular characteristics of PRF through nine centrifugation parameters (CP) for its preparation, using a pool of blood samples of five volunteers. METHODS: The PRF obtained was analyzed by morphological and histological characteristics, as well as electronic and atomic force microscopy and growth factors determinations. RESULTS: A longer time of centrifugation showed taller clots and denser mesh fibrin in comparison with a short time (p < 0.05). The protocols with higher speed of centrifugation showed higher levels of PDGF-BB and VEGF. Higher levels of TGFß1 were found in protocols with a shorter centrifuge time. The mean platelet count (916.05 ± 23.73 cells x 103 cells x cm3) and its roughness (Ra) (616.5 ± 45.2 nm) did not show significant differences between different CP (p > 0.05). A significant correlation between fibrin density and levels of PDGF (r = 0.57) and VEGF (r = 0.52) was found. Additionally, the size of the clot had a significant correlation (r = -0.47) with TGFß1 levels. CONCLUSIONS: Different centrifugation parameters to obtain PRF have been reported. These results indicate that changes in the conditions to obtain PRF have a significant impact on their fibrin structure, cellular distribution, and biomolecular content, which can be decisive for its choice in the different clinical applications to be used. It is necessary to use a standardized centrifuge and protocol to guarantee high-quality PRF and clinical outcomes with less variability.

Formation Tracking Control and Obstacle Avoidance of Unicycle-Type Robots Guaranteeing Continuous Velocities.

In this paper, we addressed the problem of controlling the position of a group of unicycle-type robots to follow in formation a time-varying reference avoiding obstacles when needed. We propose a kinematic control scheme that, unlike existing methods, is able to simultaneously solve the both tasks involved in the problem, effectively combining control laws devoted to achieve formation tracking and obstacle avoidance. The main contributions of the paper are twofold: first, the advantages of the proposed approach are not all integrated in existing schemes, ours is fully distributed since the formulation is based on consensus including the leader as part of the formation, scalable for a large number of robots, generic to define a desired formation, and it does not require a global coordinate system or a map of the environment. Second, to the authors' knowledge, it is the first time that a distributed formation tracking control is combined with obstacle avoidance to solve both tasks simultaneously using a hierarchical scheme, thus guaranteeing continuous robots velocities in spite of activation/deactivation of the obstacle avoidance task, and stability is proven even in the transition of tasks. The effectiveness of the approach is shown through simulations and experiments with real robots.

Neural Dynamics in the Processing of Personal Objects as an Index of the Brain Representation of the Self.

Across time, personal belongings incorporate semantic self-knowledge contributing to the subjective meaning of mineness and preference, whose access is prioritized. Although neuroimaging is starting to explore self-knowledge processes, more research is still necessary to better understand many aspects of these processes. One, the timing of the mechanisms involved, is the main purpose of the present study. Here, we investigate the differential patterns of event-related brain potentials and the underlying dynamic causal connectivity between neural generators to self-related objects ranging in self-relevance, as compared to non-personal-related objects. Personal objects elicited lower N2 and higher P3 components compared to non-personal objects, and those with high relevance showed the lowest N2 and the highest P3 amplitudes. Brain sources connectivity corresponding to N2-P3 ERP complex revealed an early connectivity between posterior cingulate/precuneus and parahippocampal gyrus, common for both types of objects. However, this parietal connectivity was kept in later latencies only for personal objects, also intervening the anterior cingulate as the main driver of information flow to the parietal network. Personal objects showed more extensive connectivity between parietal areas and these with anterior cingulate. These findings provide new evidence of a neural connectivity and its temporal course underlying the interplay of lower-level and higher-level cognitive processes relative to personal objects. Further, the results offer new insights on how superordinate mental representations enable distinctive processing of relevant belongings, starting relatively early in time.

The impact of depressive mood and cognitive impairment on quality of life of the elderly.

BACKGROUND: The quality of life (QOL) of the elderly can be influenced by numerous factors. We assessed QOL, cognitive functions, depression and clinical data in elderly aged 65 and over with the aim of analysing factors affecting their QOL. METHODS: Semi-structured interviews were conducted with elderly over the age of 65, and their QOL, cognitive functions and depressive symptoms were assessed by validated clinical tests and screening tools. RESULTS: The correlation between QOL scales and cognitive tests was not significant. In contrast, the results of depression scales showed significant negative correlation with the scores of the QOL scales. A better QOL was determined by lower age, lack of depressive symptoms, and higher scores in the QOL-AD (Alzheimer's disease) scale. Depressive mood has much more negative impact on the QOL of the elderly than cognitive impairment. CONCLUSIONS: Our results demonstrated a close correlation between QOL and depressive mood in the elderly. The early detection and effective management of affective and cognitive symptoms in the elderly can not only restore mental health but may also improve their QOL.