Search results for "Neurologi"

showing 10 items of 1189 documents

Mortality of multiple Sclerosis: a population based study.

2008

Multiple sclerosis mortality population-based surveySettore MED/26 - Neurologia
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Linkage disequilibrium screening for multiple sclerosis implicates JAG1 and POU2AF1 as susceptibility genes in Europeans.

2006

By combining all the data available from the Genetic Analysis of Multiple sclerosis in EuropeanS (GAMES) project, we have been able to identify 17 microsatellite markers showing consistent evidence for apparent association. As might be expected five of these markers map within the Major Histocompatibility Complex (MHC) and are in LD with HLA-DRB1. Individual genotyping of the 12 non-MHC markers confirmed association for three of them — D11S1986, D19S552 and D20S894. Association mapping across the candidate genes implicated by these markers in 937 UK trio families revealed modestly associated haplotypes in JAG1 (p=0.019) on chromosome 20p12.2 and POU2AF1 (p=0.003) on chromosome 11q23.1.

Multiple sclerosisGenome screenLinkage disequilibriumMeta-analysiSettore MED/26 - NeurologiaJAG1POU2AF1
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Multiple sclerosis survival: a population-based study in Sicily.

2010

Background and purpose: There are few population-based surveys on multiple sclerosis (MS) survival. To investigate MS survival in MS patients recruited during surveys conducted in Sicily. Methods: Multiple sclerosis patients identified during previous surveys were randomly matched to two referent subjects by residence, year of birth, and gender. Living status was obtained by municipality records (end of follow-up June, 30th 2007) and, for the deceased, date and causes of death were searched. Kaplan-Meier plots were used to calculate differences in mortality between MS patients and referent subjects. MS risks for mortality with 95% confidence intervals (CI) were also calculated. Results: We …

Multiple sclerosisMultiple sclerosis survival population-based study prognosisSettore MED/26 - Neurologia
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Purine metabolism in course of relapsing-remitting multiple sclerosis: a case-control study

2010

Multiple sclerosisSettore BIO/10 - Biochimicapurine metabolismSettore MED/26 - Neurologia
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PREGNANCIES MODIFY RELAPSES AND PROGRESSION IN MULTIPLE SCLEROSIS

2014

Multiple sclerosisSettore MED/26 - Neurologia
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EXTRACELLULAR VESICLES IN CEREBROSPINAL FLUID AS MARKERS OF CNS INFLAMMATION

2014

Multiple sclerosisSettore MED/26 - Neurologia
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Lifestyle factors and multiple sclerosis: a case control study

2010

Multiple sclerosisSettore MED/26 - Neurologia
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Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactions.

2010

The Partial Directed Coherence (PDC) and its generalized formulation (gPDC) are popular tools for investigating, in the frequency domain, the concept of Granger causality among multivariate (MV) time series. PDC and gPDC are formalized in terms of the coefficients of an MV autoregressive (MVAR) model which describes only the lagged effects among the time series and forsakes instantaneous effects. However, instantaneous effects are known to affect linear parametric modeling, and are likely to occur in experimental time series. In this study, we investigate the impact on the assessment of frequency domain causality of excluding instantaneous effects from the model underlying PDC evaluation. M…

Multivariate statisticsTime FactorsGeneral Computer ScienceModels NeurologicalPattern Recognition AutomatedCardiovascular Physiological PhenomenaElectrocardiographyGranger causalityArtificial IntelligenceEconometricsCoherence (signal processing)AnimalsHumansComputer SimulationEEGPartial Directed CoherenceMathematicsCausal modelMultivariate autoregressive modelComputer Science (all)Linear modelElectroencephalographySignal Processing Computer-AssistedCardiovascular variabilityAutoregressive modelFrequency domainParametric modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityMultivariate time serieLinear ModelsNeural Networks ComputerBiotechnologyBiological cybernetics
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Adaptive independent vector analysis for multi-subject complex-valued fMRI data.

2017

Abstract Background Complex-valued fMRI data can provide additional insights beyond magnitude-only data. However, independent vector analysis (IVA), which has exhibited great potential for group analysis of magnitude-only fMRI data, has rarely been applied to complex-valued fMRI data. The main challenges in this application include the extremely noisy nature and large variability of the source component vector (SCV) distribution. New method To address these challenges, we propose an adaptive fixed-point IVA algorithm for analyzing multiple-subject complex-valued fMRI data. We exploited a multivariate generalized Gaussian distribution (MGGD)- based nonlinear function to match varying SCV dis…

Multivariate statisticscomplex-valued fMRI dataComputer scienceSpeech recognitionRestModels Neurological02 engineering and technologyMotor Activityta3112Shape parameterFingers03 medical and health sciencesMatrix (mathematics)0302 clinical medicine0202 electrical engineering electronic engineering information engineeringHumansComputer SimulationGeneralized normal distributionDefault mode networkta217ta113shape parametersubspace de-noisingBrain MappingLikelihood Functionsbusiness.industryGeneral NeuroscienceBrain020206 networking & telecommunicationsPattern recognitionMagnetic Resonance ImagingNonlinear systemNonlinear Dynamicsindependent vector analysis (IVA)MGGDMultivariate AnalysisAuditory PerceptionnoncircularityArtificial intelligenceNoise (video)businessArtifactspost-IVA phase de-noising030217 neurology & neurosurgerySubspace topologyAlgorithmsJournal of neuroscience methods
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METHOTREXATE AS STEROID SPARING AGENT IN MYASTHENIA GRAVIS: A RETROSPECTIVE STUDY IN A SMALL COHORT OF PATIENTS

Introduction Myasthenia gravis (MG) is an autoimmune disorder of neuromuscular junction. Therapy for MG is still debated and controversial: corticosteroids alone or in combination with immunosuppressive agents are the most used drugs. Azathioprine (AZA) has been shown to be effective for MG in randomized placebo-controlled studies with a significant steroid-sparing activity after 15 months administration although several side effects1. Recently, some studies on Methotrexate (MTX) activity in MG have evidenced controversial results on efficacy, tolerability and steroid-sparing activity. Patients and Methods We have retrospectively evaluated in our MG cohort of (over 850 pts), a number of pat…

Myasthenia gravis MethotrexateSettore MED/26 - Neurologia
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