493 research outputs found

    Brain Activation Patterns Characterizing Different Phases of Motor Action: Execution, Choice and Ideation.

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    Motor behaviour is controlled by a large set of interacting neural structures, subserving the different components involved in hierarchical motor processes. Few studies have investigated the neural substrate of higher-order motor ideation, i.e. the mental operation of conceiving a movement. The aim of this functional magnetic resonance imaging study was to segregate the neural structures involved in motor ideation from those involved in movement choice and execution. An index finger movement paradigm was adopted, including three different conditions: performing a pre-specified movement, choosing and executing a movement and ideating a movement of choice. The tasks involved either the right or left hand, in separate runs. Neuroimaging results were obtained by comparing the different experimental conditions and computing conjunction maps of the right and left hands for each contrast. Pre-specified movement execution was supported by bilateral fronto-parietal motor regions, the cerebellum and putamen. Choosing and executing finger movement involved mainly left fronto-temporal areas and the anterior cingulate. Motor ideation activated almost exclusively left hemisphere regions, including the inferior, middle and superior frontal regions, middle temporal and middle occipital gyri. These findings show that motor ideation is controlled by a cortical network mainly involved in abstract thinking, cognitive and motor control, semantic and visual imagery processes

    Recent advances in understanding Cushing disease: resistance to glucocorticoid negative feedback and somatic USP8 mutations

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    Cushing’s disease is a rare disease with a characteristic phenotype due to significant hypercortisolism driven by over-secretion of adrenocorticotropic hormone and to high morbidity and mortality if untreated. It is caused by a corticotroph adenoma of the pituitary, but the exact mechanisms leading to tumorigenesis are not clear. Recent advances in molecular biology such as the discovery of somatic mutations of the ubiquitin-specific peptidase 8 (USP8) gene allow new insights into the pathogenesis, which could be translated into exciting and much-needed therapeutic applications

    Parental Quality of Life and Involvement in Intervention for Children or Adolescents with Autism Spectrum Disorders: A Systematic Review

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    Previous research has examined several parental, child-related, and contextual factors associated with parental quality of life (QoL) among parents with a child or an adolescent with autism spectrum disorders (ASD); however, no systematic review has examined the relationship between parental QoL and parental involvement in intervention. To fill this gap, a systematic review was conducted using four electronic databases and checked reference lists of retrieved studies. Records were included in the systematic review if they presented original data, assessed parental QoL, and involvement in intervention for children or adolescents with ASD, were published in peer-reviewed journals between 2000 and 2020, and were written in English. Among the 96 screened full-texts, 17 articles met the eligibility criteria. The selected studies included over 2000 parents of children or adolescents with ASD. Three categories of parental involvement (i.e., none, indirect, direct) were identified, which varied across studies, although most had direct parental involvement. The results from this review show that increased parental involvement in the intervention for children or adolescents with ASD may be one way to promote their QoL. However, further research specifically focused on parental involvement during the intervention for children and adolescents with ASD is warranted

    Enhancing visual motion discrimination by desynchronizing bifocal oscillatory activity

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    Visual motion discrimination involves reciprocal interactions in the alpha band between the primary visual cortex (V1) and mediotemporal areas (V5/MT). We investigated whether modulating alpha phase synchronization using individualized multisite transcranial alternating current stimulation (tACS) over V5 and V1 regions would improve motion discrimination. We tested 3 groups of healthy subjects with the following conditions: (1) individualized In-Phase V1alpha-V5alpha tACS (0° lag), (2) individualized Anti-Phase V1alpha-V5alpha tACS (180° lag) and (3) sham tACS. Motion discrimination and EEG activity were recorded before, during and after tACS. Performance significantly improved in the Anti-Phase group compared to the In-Phase group 10 and 30Â min after stimulation. This result was explained by decreases in bottom-up alpha-V1 gamma-V5 phase-amplitude coupling. One possible explanation of these results is that Anti-Phase V1alpha-V5alpha tACS might impose an optimal phase lag between stimulation sites due to the inherent speed of wave propagation, hereby supporting optimized neuronal communication

    Caroli's disease: report of surgical options and long-term outcome of patients treated in Argentina. Multicenter study

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    BACKGROUND: Caroli's disease (CD) management is still controversial. AIM: The purpose of this study is to report the most frequent clinical features, treatment options, and outcome obtained after surgical management of CD. METHODS: A voluntary survey was conducted. Demographic, clinical, surgical, and pathological variables were analyzed. RESULTS: Six centers included 24 patients having received surgical treatment from 1991 to 2009. Seventeen (70.8%) patients were female, with average age of 48.7 years old (20-71), and 95.5% were symptomatic. There was left hemiliver involvement in 75% of the patients. Surgical procedures included nine left lateral sectionectomies, eight left hepatectomies, and four right hepatectomies for those with hemiliver disease, while for patients with bilateral disease, one right hepatectomy and two Roux-en-Y hepaticojejunostomies were performed. The average length of hospitalization was 7 days. For perioperative complications (25%), three patients presented minor complications (types 1-2), while major complications occurred in three patients (type 3a). No mortality was reported. After a median follow-up of 166 months, all patients are alive and free of symptoms. CD diagnosis was confirmed by histology. Congenital hepatic fibrosis was present in two patients (8.3%) and cholangiocarcinoma in one (4.2%). CONCLUSIONS: CD in Argentina is more common in females with left hemiliver involvement. Surgical resection is the best curative option in unilateral disease, providing long-term survival free of symptoms and complications. In selected cases of bilateral disease without parenchymal involvement, hepaticojejunostomy should be proposed. However, a close follow-up is mandatory because patients might progress and a transplant should be indicated.Fil: Lendoire, Javier. Gobierno de la Ciudad Autónoma de Buenos Aires. Hospital General de Agudos Doctor Cosme Argerich; ArgentinaFil: Raffin, Gabriel. Gobierno de la Ciudad Autónoma de Buenos Aires. Hospital General de Agudos Doctor Cosme Argerich; ArgentinaFil: Bracco, Ricardo. No especifíca;Fil: Russi, Rodolfo. Ministerio de Defensa. Armada Argentina. Hospital Naval Buenos Aires Cirujano Mayor Dr. Pedro Mallo; ArgentinaFil: Ardiles, Victoria. Hospital Italiano; ArgentinaFil: Gondolesi, Gabriel Eduardo. Fundación Favaloro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Deflitto, Jorge. No especifíca;Fil: de Santibañez, Eduardo. Hospital Italiano; ArgentinaFil: Inventarza, Oscar. Gobierno de la Ciudad Autónoma de Buenos Aires. Hospital General de Agudos Doctor Cosme Argerich; Argentin

    A continual active learning approach to adapt neural networks to distribution shifts in quality monitoring applications

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    Neural networks show great potential for quality monitoring in manufacturing. However, obtaining suitable and comprehensive training datasets remains a challenge. Moreover, discrepancies between training and inference data distributions can lead to a degradation of model performance. This issue is especially relevant in volatile settings like in high-mix, low-volume production or in remanufacturing, where product variants or observed defect patterns frequently change. This currently hinders the application of machine learning methods in such scenarios. Therefore, we propose a method for ongoing adaptation of machine learning models, i.e., neural networks, during operations. Manual efforts for quality assurance and data annotation are reduced by involving human feedback only when there is a risk of incorrect model predictions and by using that feedback to adapt a model in case of changed data distributions. To accomplish this, the proposed method combines approaches from active and continual learning for targeted sample selection and efficient model adaptation. An extensive experimental evaluation is performed using two application scenarios. We find that a sample selection based on a simple threshold on the model’s confidence score yields a good trade-off between manual effort and the overall system’s classification performance. Additionally, the experiments demonstrate that by warm starting model training and regularizing the training process with a small number of historical samples the necessary training time for model adaptation can be significantly reduced.Open Access funding enabled and organized by Projekt DEAL.Technische Universität München (1025

    Can We Distinguish Age-Related Frailty from Frailty Related to Diseases? Data from the MAPT Study

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    Abstract Background No study has tried to distinguish subjects that become frail due to diseases (frailty related to diseases) or in the absence of specific medical events; in this latter case, it is possible that aging process would act as the main frailty driver (age-related frailty). Objectives To classify subjects according to the origin of physical frailty: age-related frailty, frailty related to diseases, frailty of uncertain origin, and to compare their clinical characteristics. Materials and methods We performed a secondary analysis of the Multidomain Alzheimer Preventive Trial (MAPT), including 195 subjects ≥70 years non-frail at baseline who became frail during a 5-year follow-up (mean age 77.8 years ± 4.7; 70% female). Physical frailty was defined as presenting ≥3 of the 5 Fried criteria: weight loss, exhaustion, weakness, slowness, low physical activity. Clinical files were independently reviewed by two different clinicians using a standardized assessment method in order to classify subjects as: "age-related frailty", "frailty related to diseases" or "frailty of uncertain origin". Inconsistencies among the two raters and cases of uncertain frailty were further assessed by two other experienced clinicians. Results From the 195 included subjects, 82 (42%) were classified as age-related frailty, 53 (27%) as frailty related to diseases, and 60 (31%) as frailty of uncertain origin. Patients who became frail due to diseases did not differ from the others groups in terms of functional, cognitive, psychological status and age at baseline, however they presented a higher burden of comorbidity as measured by the Cumulative Illness Rating Scale (CIRS) (8.20 ± 2.69; vs 6.22 ± 2.02 frailty of uncertain origin; vs. 3.25 ± 1.65 age-related frailty). Time to incident frailty (23.4 months ± 12.1 vs. 39.2 ± 19.3 months) and time spent in a pre-frailty condition (17.1 ± 11.4 vs 26.6 ± 16.6 months) were shorter in the group of frailty related to diseases compared to age-related frailty. Orthopedic diseases (n=14, 26%) were the most common pathologies leading to frailty related to diseases, followed by cardiovascular diseases (n=9, 17%) and neurological diseases (n = 8, 15%). Conclusion People classified as age-related frailty and frailty related to diseases presented different frailty-associated indicators. Future research should target the underlying biological cascades leading to these two frailty classifications, since they could ask for distinct strategies of prevention and management

    RESVERATROL INCLUSION COMPLEX WITH β-CYCLODEXTRIN (RCD): CHARACTERIZATION AND EVALUATION OF TOXICITY IN WISTAR RATS

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    Objective: The aim of this study was to characterise the resveratrol inclusion complex with β-cyclodextrin (RCD) and evaluate their toxicity in wistar rats.Methods: The RCD were prepared in ultra-turrax. For characterization of the RCD were used: Fourier transform infra-red Spectroscopy, Nuclear Magnetic Resonance (NMR), Differential Scanning Calorimetry (DSC) and X-ray powder diffraction. The RCD and others 4 treatments were performed by the chronic oral administration in 35 rats during 60 ds. After the treatments they were euthanized and the serum blood were collected to analyzed some hemogram and biochemical parameters including aspartyl aminotransferase (AST); alanine aminotransferase (AST); phosphatase alkaline (ALP); total bilirubin (TB); direct bilirubin (DB); total protein (TP); total cholesterol (TC), triacylglycerol (TAG), very low-density lipoprotein (VLDL), high-density lipoprotein (HDL), calcium, iron and phosphate using fully automated biochemistry analyzer.Results: The characterization results indicated a successful formation of the RCD. All hematological parameters analysed were within the normal values in all the groups. Furthermore, the hemogram and biochemical parameters were significantly (P>0.05) similar to the control group.Conclusion: The daily oral administration during 60 d of RCD are not harmful on blood parameters of Wistar rats. Thus, RCD can be used safely for treatment of some metabolic diseases
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