Search results for "physiological network"

showing 2 items of 2 documents

Linear and non-linear brain-heart and brain-brain interactions during sleep.

2015

In this study, the physiological networks underlying the joint modulation of the parasympathetic component of heart rate variability (HRV) and of the different electroencephalographic (EEG) rhythms during sleep were assessed using two popular measures of directed interaction in multivariate time series, namely Granger causality (GC) and transfer entropy (TE). Time series representative of cardiac and brain activities were obtained in 10 young healthy subjects as the normalized high frequency (HF) component of HRV and EEG power in the δ, θ, α, σ, and β bands, measured during the whole duration of sleep. The magnitude and statistical significance of GC and TE were evaluated between each …

MaleTime FactorsAdolescentPhysiologyBiomedical EngineeringBiophysicsInformation TheoryElectroencephalographyModels BiologicalSurrogate dataEntropy estimationElectrocardiographyYoung AdultHeart RatePhysiology (medical)StatisticsmedicineHeart rate variabilitymultivariate time serieHumansMathematicsmedicine.diagnostic_testDimensionality reductionLinear modeltransfer entropyBrainRegression analysisElectroencephalographySignal Processing Computer-Assistedphysiological networkBiophysicNonlinear DynamicsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaMultivariate AnalysisLinear ModelsTransfer entropyBiological systemSleepPhysiological measurement
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Sex Differences in the Physiological Network of Healthy Young Subjects

2021

Within human physiology, systemic interactions couple physiological variables to maintain homeostasis. These interactions change according to health status and are modified by factors such as age and sex. For several physiological processes, sex-based distinctions in normal physiology are present and defined in isolation. However, new methodologies are indispensable to analyze system-wide properties and interactions with the objective of exploring differences between sexes. Here we propose a new method to construct complex inferential networks from a normalization using the clinical criteria for health of physiological variables, and the correlations between anthropometric and blood tests b…

sex differencesmedicine.diagnostic_testPhysiologyheart rate variabilityhealthanthropometric measuresHuman physiologyblood testBiologyAnthropometrySexual dimorphismphysiological networkPhysiology (medical)sexual dimorphismmedicineGlucose homeostasisHeart rate variabilityBlood testQP1-981Association (psychology)Network approachDemographyOriginal ResearchFrontiers in Physiology
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