Search results for "physiologic"

showing 10 items of 2593 documents

Behavioral and hippocampal evoked responses in an auditory oddball situation when an unconditioned stimulus is paired with deviant tones in the cat: …

1995

Event-related potentials (ERP) in the areas CA1, CA3 and dentate fascia (Df) of the hippocampal formation were recorded during an oddball situation in the cat. A rewarding electrical stimulation of the lateral hypothalamus (US) was paired with deviant tones (2500 Hz) that occurred randomly in a series of the standard tones (2000 Hz) given to the left ear. In addition to developing orienting head movements to the side of the deviant tones, an increase in the amplitude of parallel hippocampal ERPs was observed. Both the behavioral and neural responses appeared not until a 50 ms latency range. Furthermore, time-amplitude characteristics of the ERPs corresponded to time-acceleration characteris…

MovementHippocampusMismatch negativityContext (language use)Hippocampal formationHippocampusbehavioral disciplines and activitiesOrienting responseOrientationPhysiology (medical)Conditioning PsychologicalAnimalsNeuronsBehavior AnimalGeneral NeuroscienceClassical conditioningElectric StimulationElectrodes ImplantedElectrophysiologyNeuropsychology and Physiological PsychologyAcoustic StimulationHypothalamic Area LateralBrain stimulationCatsEvoked Potentials AuditoryPsychologyHeadNeuroscienceInternational Journal of Psychophysiology
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Single-trial Connectivity Estimation through the Least Absolute Shrinkage and Selection Operator.

2019

Methods based on the use of multivariate autoregressive models (MVAR) have proved to be an accurate tool for the estimation of functional links between the activity originated in different brain regions. A well-established method for the parameters estimation is the Ordinary Least Square (OLS) approach, followed by an assessment procedure that can be performed by means of Asymptotic Statistic (AS). However, the performances of both procedures are strongly influenced by the number of data samples available, thus limiting the conditions in which brain connectivity can be estimated. The aim of this paper is to introduce and test a regression method based on Least Absolute Shrinkage and Selecti…

Multivariate statisticsComputer science0206 medical engineering02 engineering and technologyConnectivity measurementsLeast squares03 medical and health sciences0302 clinical medicineLasso (statistics)Statistics::MethodologyLeast-Squares AnalysisStatisticShrinkagebusiness.industryBrainPattern recognitionElectroencephalography020601 biomedical engineeringCausalityData pointAutoregressive modelCausality; Connectivity measurements; Physiological systems modeling - Multivariate signal processingPhysiological systems modeling - Multivariate signal processingOrdinary least squaresLeast-Squares Analysis Brain ElectroencephalographyArtificial intelligencebusiness030217 neurology & neurosurgeryAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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Decomposing the transfer entropy to quantify lag-specific Granger causality in cardiovascular variability.

2013

We present a modification of the well known transfer entropy (TE) which makes it able to detect, besides the direction and strength of the information transfer between coupled processes, its exact timing. The approach follows a decomposition strategy which identifies--according to a lag-specific formulation of the concept of Granger causality--the set of time delays carrying significant information, and then assigns to each of these delays an amount of information transfer such that the total contribution yields the overall TE. We propose also a procedure for the practical estimation from time series data of the relevant delays and lag-specific TE in both bivariate and multivariate settings…

Multivariate statisticsMathematical optimizationInformation transferMedicine (all)LagEntropyBivariate analysisCardiovascular Physiological PhenomenaGranger causalitySettore ING-INF/06 - Bioingegneria Elettronica E InformaticaMultivariate AnalysisEntropy (information theory)HumansTransfer entropyComputer SimulationTime seriesAlgorithmsMathematicsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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Non-uniform multivariate embedding to assess the information transfer in cardiovascular and cardiorespiratory variability series

2012

The complexity of the short-term cardiovascular control prompts for the introduction of multivariate (MV) nonlinear time series analysis methods to assess directional interactions reflecting the underlying regulatory mechanisms. This study introduces a new approach for the detection of nonlinear Granger causality in MV time series, based on embedding the series by a sequential, non-uniform procedure, and on estimating the information flow from one series to another by means of the corrected conditional entropy. The approach is validated on short realizations of linear stochastic and nonlinear deterministic processes, and then evaluated on heart period, systolic arterial pressure and respira…

Multivariate statisticsSupine positionMultivariate analysisQuantitative Biology::Tissues and OrgansTime delay embeddingPhysics::Medical PhysicsPostureBlood PressureHealth InformaticsCardiovascular Physiological PhenomenaGranger causalityPosition (vector)StatisticsHumansCardiovascular interactionMathematicsConditional entropySeries (mathematics)RespirationModels CardiovascularReproducibility of ResultsSignal Processing Computer-AssistedComputer Science Applications1707 Computer Vision and Pattern RecognitionComputer Science ApplicationsNonlinear systemNonlinear DynamicsMultivariate AnalysisSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityMultivariate time serieConditional entropyAlgorithmAlgorithms
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Multivariate correlation measures reveal structure and strength of brain–body physiological networks at rest and during mental stress

2021

In this work, we extend to the multivariate case the classical correlation analysis used in the field of network physiology to probe dynamic interactions between organ systems in the human body. To this end, we define different correlation-based measures of the multivariate interaction (MI) within and between the brain and body subnetworks of the human physiological network, represented, respectively, by the time series of delta, theta, alpha, and beta electroencephalographic (EEG) wave amplitudes, and of heart rate, respiration amplitude, and pulse arrival time (PAT) variability. MI is computed: (i) considering all variables in the two subnetworks to evaluate overall brain–body interaction…

Multivariate statisticsTechnology and EngineeringElectroencephalographybrain-heart connectionNetwork topologynetwork physiologylcsh:RC321-571Correlation03 medical and health sciences0302 clinical medicinewearable devicesMedicine and Health SciencesmedicineMultiple correlationSubnetworklcsh:Neurosciences. Biological psychiatry. Neuropsychiatryinformation theory030304 developmental biologyMathematicsOriginal Researchphysiological stressbrain-body interactionsNetwork physiology brain–heart connection cardiovascular oscillations EEG waves physiological stress time series analysis wearable devices0303 health sciencesnetwork physiology; brain-heart connection; cardiovascular oscillations; EEG waves; physiological stressmedicine.diagnostic_testPulse (signal processing)General NeuroscienceCardiorespiratory fitnessbrain–heart connectionMathematics and Statisticscardiovascular oscillationsnetworkstime series analysisphysiologySettore ING-INF/06 - Bioingegneria Elettronica E InformaticaNeuroscience030217 neurology & neurosurgeryEEG wavesNeuroscience
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Measuring frequency domain granger causality for multiple blocks of interacting time series

2011

In the past years, several frequency-domain causality measures based on vector autoregressive time series modeling have been suggested to assess directional connectivity in neural systems. The most followed approaches are based on representing the considered set of multiple time series as a realization of two or three vector-valued processes, yielding the so-called Geweke linear feedback measures, or as a realization of multiple scalar-valued processes, yielding popular measures like the directed coherence (DC) and the partial DC (PDC). In the present study, these two approaches are unified and generalized by proposing novel frequency-domain causality measures which extend the existing meas…

Multivariate statisticsTime FactorsGeneral Computer ScienceLogarithmScalar (mathematics)Complex systemTopologyModels BiologicalNeurophysiological time serieBlock-based connectivity analysiGranger causalityStatisticsHumansComputer SimulationDirected coherenceMathematicsNumerical analysisPartial directed coherenceBrainElectroencephalographyVector autoregressive (VAR) modelBrain WavesCausalityAutoregressive modelFrequency domainComputer ScienceSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityAlgorithmsBiotechnologyBiological Cybernetics
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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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Effects of moderate vs. high iso-inertial loads on power, velocity, work and hamstring contractile function after flywheel resistance exercise.

2019

Flywheel iso-inertial training has been shown to positively affect muscular strength and sports performance (e.g. agility). However, implementing such eccentrically-biased training during a microcycle needs to be carefully planned due to its purported effects on the neuromuscular system that can last for hours/days post-exercise. This study aimed at using tensiomyography to verify the effects of different inertias during the hip extension exercise on the contractile function of biceps femoris and semitendinosus muscles of the dominant leg for up to 72 hours post-exercise. Thirty participants (24.4 ± 3.4 years) were divided into 0.075 or 0.1 kg·m2 inertia groups and a control group. Magnitud…

Muscle PhysiologyInertiaPhysiologyBiceps0302 clinical medicineAnimal CellsMedicine and Health SciencesPublic and Occupational HealthSemitendinosus muscleMusculoskeletal System2406.04 BiomecánicaMultidisciplinaryPhysicsMusclesQRClassical MechanicsMuscle AnalysisSports ScienceBioassays and Physiological AnalysisPhysical SciencesStrength TrainingLegsMedicineCellular TypesAnatomymedicine.symptomResearch ArticleMuscle ContractionMuscle contractionmedicine.medical_specialtyStrength trainingScienceSlow-Twitch Muscle FibersResearch and Analysis MethodsMuscle FibersTensiomyographyFlywheelPelvisMotion03 medical and health sciencesPhysical medicine and rehabilitationmedicineSports and Exercise MedicineExerciseHipbusiness.industryBiology and Life SciencesCell BiologyPhysical Activity030229 sport sciencesSkeletal Muscle FibersMuscle stiffnessPhysical FitnessBody Limbs2411.06 Fisiología del Ejerciciobusiness030217 neurology & neurosurgeryHamstringPloS one
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New fast mismatch negativity paradigm for determining the neural prerequisites for musical ability.

2011

Studies have consistently shown that the mismatch negativity (MMN) for different auditory features correlates with musical skills, and that this effect is more pronounced for stimuli integrated in complex musical contexts. Hence, the MMN can potentially be used for determining the development of auditory skills and musical expertise. MMN paradigms, however, are typically very long in duration, and far from sounding musical. Therefore, we developed a novel multi-feature MMN paradigm with 6 different deviant types integrated in a complex musical context of no more than 20 min in duration. We found significant MMNs for all 6 deviant types. Hence, this short objective measure can putatively be …

Musical developmentMaleCognitive NeuroscienceMismatch negativityExperimental and Cognitive PsychologyContext (language use)MusicalElectroencephalography050105 experimental psychology03 medical and health sciences0302 clinical medicinemedicineReaction TimeHumansLearning0501 psychology and cognitive sciencesta515Cerebral Cortexmedicine.diagnostic_test05 social sciencesElectroencephalographyNeuropsychology and Physiological PsychologyAcoustic StimulationDuration (music)Evoked Potentials AuditoryFemalePsychologyAuditory Physiology030217 neurology & neurosurgeryMusicPsychomotor PerformanceCognitive psychologyCortex; a journal devoted to the study of the nervous system and behavior
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Predictive error detection in pianists: A combined ERP and motion capture study

2013

Performing a piece of music involves the interplay of several cognitive and motor processes and requires extensive training to achieve a high skill level. However, even professional musicians commit errors occasionally. Previous event-related potential (ERP) studies have investigated the neurophysiological correlates of pitch errors during piano performance, and reported pre-error negativity already occurring approximately 70–100 ms before the error had been committed and audible. It was assumed that this pre-error negativity reflects predictive control processes that compare predicted consequences with actual consequences of one's own actions. However, in previous investigations, correct a…

Musical expertiseSpeech recognitionElectroencephalographyMotion capture050105 experimental psychologyMotion (physics)lcsh:RC321-57103 medical and health sciencesBehavioral Neuroscienceevent-related potential0302 clinical medicineperformance monitoringEvent-related potentialmusic performancemedicinemotor control0501 psychology and cognitive sciencesOriginal Research ArticleEEGlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological Psychiatryta515medicine.diagnostic_testMovement (music)05 social sciencesMotor controlCognitionNeurophysiologymusical expertisePsychiatry and Mental healthNeuropsychology and Physiological PsychologyNeurologyPerformance monitoringPsychology030217 neurology & neurosurgeryNeuroscienceFrontiers in Human Neuroscience
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