Search results for "electrophysiological techniques"

showing 10 items of 22 documents

The influence of personality on the effect of iTBS after being stressed on cortisol secretion

2019

Over the last years, individualization of repetitive Transcranial Magnetic Stimulation (rTMS) parameters has been a focus of attention in the field of non-invasive stimulation. It has been proposed that in stress-related disorders personality characteristics may influence the clinical outcome of rTMS. However, the underlying physiological mechanisms as to how personality may affect the rTMS response to stress remains to be clarified. In this sham-controlled crossover study, after being stressed by the Trier Social Stress Test, 38 healthy females received two sessions of intermittent theta burst stimulation (iTBS) applied to the left dorsolateral prefrontal cortex. To take possible personali…

MaleTRANSCRANIAL MAGNETIC STIMULATIONSALIVARY CORTISOLHydrocortisonePhysiologymedicine.medical_treatmentEmotionsIndividualitySocial SciencesHF-RTMS SESSIONPREFRONTAL CORTEXBiochemistryCortisol0302 clinical medicineMedicine and Health SciencesTrier social stress testPsychologyLipid Hormonesmedia_commonBrain MappingCross-Over StudiesMultidisciplinaryDepressionQRGeneral MedicineTranscranial Magnetic StimulationHealthy VolunteersElectrophysiologyBioassays and Physiological AnalysisBrain ElectrophysiologyMedicineFemaleGeneral Agricultural and Biological SciencesPsychologyResearch ArticlePersonalityClinical psychologyAdultCortisol secretionSEX-DIFFERENCESSciencePSYCHOSOCIAL STRESSmedia_common.quotation_subjectPsychological StressNeurophysiologyPrefrontal CortexGenetics and Molecular BiologyResearch and Analysis MethodsAffect (psychology)Young Adult03 medical and health sciencesMental Health and Psychiatry5-FACTOR MODELmedicineHumansPersonalityTranscranial StimulationSalivaSecretionPersonality TraitsSteroid HormonesMood DisordersUNDER-THE-CURVEElectrophysiological TechniquesCooperativenessBiology and Life SciencesMAJOR DEPRESSIONHormones030227 psychiatryTranscranial magnetic stimulationAffectMoodGeneral BiochemistryTemperament and Character InventoryPITUITARY-ADRENAL AXISPhysiological ProcessesStress Psychological030217 neurology & neurosurgeryNeuroscience
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A co-registration investigation of inter-word spacing and parafoveal preview: Eye movements and fixation-related potentials

2019

Participants’ eye movements (EMs) and EEG signal were simultaneously recorded to examine foveal and parafoveal processing during sentence reading. All the words in the sentence were manipulated for inter-word spacing (intact spaces vs. spaces replaced by a random letter) and parafoveal preview (identical preview vs. random letter string preview). We observed disruption for unspaced text and invalid preview conditions in both EMs and fixation-related potentials (FRPs). Unspaced and invalid preview conditions received longer reading times than spaced and valid preview conditions. In addition, the FRP data showed that unspaced previews disrupted reading in earlier time windows of analysis, com…

MaleTime FactorsEye MovementsPhysiologyVisual SystemVisionComputer scienceSpeech recognitionSensory PhysiologyVisual PhysiologySocial ScienceslukeminensilmänliikkeetOcular physiology0302 clinical medicineFovealMedicine and Health SciencesPsychologyAttentionMacula LuteaEEGNeurolinguisticsClinical NeurophysiologyBrain MappingMultidisciplinaryQ05 social sciencesRElectroencephalographyHealthy VolunteersSensory SystemsSemanticsElectrophysiologyBioassays and Physiological AnalysisPattern Recognition VisualBrain ElectrophysiologyPhysical SciencestekstinymmärtäminenMedicineFemaleSensory PerceptionAnatomyResearch ArticleAdultAdolescentImaging TechniquesPermutationScienceNeurophysiologyCo registrationNeuroimagingFixation OcularResearch and Analysis Methods050105 experimental psychologyYoung Adult03 medical and health sciencesHumans0501 psychology and cognitive sciencesScalpDiscrete MathematicsElectrophysiological TechniquesCognitive PsychologyBiology and Life SciencesEye movementLinguisticsReadingSentence ProcessingCombinatoricsFixation (visual)katseenseurantaCognitive ScienceClinical MedicineHeadMathematics030217 neurology & neurosurgeryNeurosciencePLOS ONE
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Supplementing sleep actigraphy with button pressing while awake

2020

Objective/backgroundWrist-worn sleep actigraphs are limited for evaluating sleep, especially in sleepers who lie awake in bed without moving for extended periods. Sleep logs depend on the accuracy of perceiving and remembering times of being awake. Here we evaluated pressing an event-marker button while lying awake under two conditions: self-initiated pressing every 5 to 10 minutes or pressing when signaled every 5 minutes by a vibration pulse from a wristband. We evaluated the two conditions for acceptability and their concordance with actigraphically scored sleep.Participants and methodsTwenty-nine adults wore actigraphs on six nights. On nights 1 and 4, they pressed the marker to a vibra…

MaleTime FactorsPhysiologyTest StatisticsWalkingAudiologyMathematical and Statistical Techniques0302 clinical medicineMedicine and Health SciencesMusculoskeletal SystemClinical NeurophysiologyCognitive ImpairmentBrain MappingMultidisciplinaryCognitive NeurologyPhysicsQStatisticsRClassical MechanicsElectroencephalographyMiddle AgedWristElectrophysiologyArmsBioassays and Physiological AnalysisBrain ElectrophysiologyNeurologyPhysical SciencesMedicineFemaleSleep (system call)AnatomyResearch ArticleAdultmedicine.medical_specialtyImaging TechniquesScienceCognitive NeuroscienceNeurophysiologyNeuroimagingResearch and Analysis MethodsVibrationButton pressingEvery 5 minutesYoung Adult03 medical and health sciencesmedicineHumansWakefulnessStatistical MethodsAgedBiological Locomotionbusiness.industryElectrophysiological TechniquesBiology and Life SciencesActigraphyActigraphySleep scoringEvery Morning030228 respiratory systemBody LimbsCognitive ScienceSleep onset latencyClinical MedicineSleepPhysiological ProcessesbusinessMathematics030217 neurology & neurosurgeryNeurosciencePLOS ONE
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Fractionating auditory priors: A neural dissociation between active and passive experience of musical sounds

2019

Learning, attention and action play a crucial role in determining how stimulus predictions are formed, stored, and updated. Years-long experience with the specific repertoires of sounds of one or more musical styles is what characterizes professional musicians. Here we contrasted active experience with sounds, namely long-lasting motor practice, theoretical study and engaged listening to the acoustic features characterizing a musical style of choice in professional musicians with mainly passive experience of sounds in laypersons. We hypothesized that long-term active experience of sounds would influence the neural predictions of the stylistic features in professional musicians in a distinct…

Malecognitionmagnetoencephalographykognitiomusic perceptionPhysiologyPREDICTIONLoudness PerceptionFEATURESSocial SciencesMismatch negativityhavaitseminenMusical0302 clinical medicineHearingHESCHLS GYRUSMedicine and Health SciencesPsychologymusic cognitionta515media_commonClinical NeurophysiologyBrain MappingMEGMultidisciplinaryMusic psychologyPhysicsQBRAIN RESPONSES05 social sciencesRMUSICIANSElectrophysiologyBioassays and Physiological AnalysisBrain ElectrophysiologyPhysical Sciencesta6131MedicineSensory PerceptionFemaleJazzPsychologyelectroencephalographyResearch ArticleCognitive psychologyAdultImaging Techniques515 PsychologySciencemedia_common.quotation_subjectmusiikkiNeurophysiologybioakustiikkaNeuroimagingResearch and Analysis Methodsta3112050105 experimental psychologybioacousticsYoung Adult03 medical and health sciencesacoustic signalsPerceptionENCULTURATIONHumans0501 psychology and cognitive sciencesActive listeningACQUISITIONElectrophysiological TechniquesCognitive Psychology3112 NeurosciencesBiology and Life SciencesAcousticsREPRESENTATIONSViolin musical stylespitch perceptionAcoustic StimulationDISCRIMINATIONCognitive ScienceClinical MedicineTimbreMusicNEUROPLASTICITY030217 neurology & neurosurgeryNeurosciencePLOS ONE
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Ischemic stroke risk during long-term follow up in patients with successful catheter ablation for atrial fibrillation in Korea

2018

The interruption of oral anticoagulation therapy (OAC) after CA of atrial fibrillation (AF) is controversial. The purpose of this study was to evaluate the relationship between successful long-term outcomes of catheter resection and SR maintenance and ischemic stroke risk in Korea. We studied 1,548 consecutive patients who were followed up for more than 2 years after CA of AF. We investigated the incidence of ischemic stroke during long-term follow-up. Compared to the AF recurrence group (n = 619), the sinus rhythm (SR) maintenance group (n = 929) had more paroxysmal AF (74.6% versus 44.4%, p<0.001), smaller LA size (39.9±5.7mm versus 42.3±6.0mm, p<0.001), and younger age (54.2±10.9 years v…

Malemedicine.medical_treatmentAnticoagulant Therapylcsh:Medicine030204 cardiovascular system & hematologyAntiplatelet TherapyPathology and Laboratory MedicineVascular MedicineBrain IschemiaGeographical LocationsElectrocardiography0302 clinical medicineRisk FactorsAtrial FibrillationMedicine and Health SciencesMedicineSinus rhythm030212 general & internal medicinelcsh:ScienceMultidisciplinaryPharmaceuticsIncidence (epidemiology)IncidenceAtrial fibrillationMiddle AgedStrokeCatheterCardiovascular TherapyBioassays and Physiological AnalysisNeurologyCardiologyCatheter AblationFemaleArrhythmiaResearch ArticleBiotechnologymedicine.medical_specialtyCathetersAsiaLong term follow upCerebrovascular DiseasesCardiologyCatheter ablationHemorrhageResearch and Analysis Methods03 medical and health sciencesSigns and SymptomsDrug TherapyDiagnostic MedicineInternal medicineRepublic of KoreaHumansIn patientIschemic StrokeKoreabusiness.industrylcsh:RElectrophysiological TechniquesBiology and Life Sciencesmedicine.diseaseIschemic strokePeople and Placeslcsh:QMedical Devices and EquipmentCardiac ElectrophysiologybusinessFollow-Up StudiesPLoS ONE
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Muscle Activity Adaptations to Spinal Tissue Creep in the Presence of Muscle Fatigue.

2016

Aim The aim of this study was to identify adaptations in muscle activity distribution to spinal tissue creep in presence of muscle fatigue. Methods Twenty-three healthy participants performed a fatigue task before and after 30 minutes of passive spinal tissue deformation in flexion. Right and left erector spinae activity was recorded using large-arrays surface electromyography (EMG). To characterize muscle activity distribution, dispersion was used. During the fatigue task, EMG amplitude root mean square (RMS), median frequency and dispersion in x- and y-axis were compared before and after spinal creep. Results Important fatigue-related changes in EMG median frequency were observed during m…

Malemyalgialcsh:MedicineElectromyographyPathology and Laboratory MedicineMaterial Fatigue0302 clinical medicineMaterials PhysicsMedicine and Health SciencesRange of Motion Articularlcsh:ScienceMusculoskeletal SystemFatigueMultidisciplinarymedicine.diagnostic_testPhysicsClassical MechanicsAnatomyDeformationBioassays and Physiological Analysismedicine.anatomical_structureCreepMuscle FatiguePhysical SciencesMetallurgyCardiologyFemaleAnatomymedicine.symptomRange of motionAlgorithmsMuscle ElectrophysiologyMuscle ContractionResearch ArticleMuscle contractionAdultMetal FatigueMuscle tissuemedicine.medical_specialtyMaterials sciencePostureMaterials ScienceMuscle TissueResearch and Analysis MethodsYoung Adult03 medical and health sciencesSigns and SymptomsInternal medicinemedicineHumansPain ManagementMuscle SkeletalElectrodesMuscle contractureBackDamage MechanicsMuscle fatigueElectromyographyElectrophysiological Techniqueslcsh:RBiology and Life SciencesMyalgia030229 sport sciencesSpineBiological Tissuelcsh:Q030217 neurology & neurosurgeryPLoS ONE
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Evaluation of nocturnal vs. morning measures of heart rate indices in young athletes

2022

Purpose The purpose of this study was to compare heart rate (HR) and heart rate variability in young endurance athletes during nocturnal sleep and in the morning; and to assess whether changes in these values are associated with changes in submaximal running (SRT) and counter-movement jump (CMJ) performance. Methods During a three-week period of similar training, eleven athletes (16 ± 1 years) determined daily HR and heart rate variability (RMSSD) during sleep utilizing a ballistocardiographic device (Emfit QS), as well as in the morning with a HR monitor (Polar V800). Aerobic fitness and power production were assessed employing SRT and CMJ test. Results Comparison of the average values fo…

MalesykekestävyysjuoksuAdolescentPhysiologykestävyysharjoitteluScienceCardiologySocial SciencesEquipmentResearch and Analysis Methodsuni (lepotila)RunningElectrocardiographynuoretmittauslaitteetHeart RateMedicine and Health SciencesHuman PerformancePsychologyHumansMeasurement EquipmentBehaviorMultidisciplinaryBiological LocomotionmittausElectrophysiological TechniquesQRBiology and Life SciencesHeartAdaptation PhysiologicalSports ScienceBody FluidsBloodBioassays and Physiological AnalysisAthletesCardiovascular AnatomyPhysical EnduranceEngineering and TechnologyRecreationMedicineFemaleCardiac ElectrophysiologyAnatomySleepResearch ArticleSportsurheilijat
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Changes in trunk posture and muscle responses in standing during pregnancy and postpartum

2018

Este artículo se encuentra disponible en la página web de la revista en la siguiente URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0194853 The aim of this study was to analyze the position of the lumbopelvic region and the muscle activation of erector spinae and biceps femoris muscles in a group of pregnant women in the third trimester. The hypothesis was that pregnancy-related biomechanical and morphological changes modify the position of the lumbopelvic region and the activation of extensor muscles. The position of the lumbar spine and pelvis in the sagittal plane, and the EMG activity of the erector spinae and biceps femoris muscles, were recorded during standing…

Maternal HealthPelvis - Muscles.lcsh:MedicineElectromyographyPathology and Laboratory MedicineBicepsBody Mass IndexBackache.0302 clinical medicineDolor pélvico.ElectricityPregnancyColumna vertebral - Propiedades mecánicas.Medicine and Health Scienceslcsh:ScienceMusculoskeletal Systemreproductive and urinary physiologyAbdominal MusclesLumbar VertebraeMultidisciplinarymedicine.diagnostic_testObstetricsMusclesPhysicsPostpartum PeriodObstetrics and GynecologyBioassays and Physiological Analysismedicine.anatomical_structurePelvis - Músculos.Physical SciencesFemaleAnatomyMuscle ElectrophysiologyResearch ArticleAdultmedicine.medical_specialtyPregnancy Trimester ThirdLower Back PainPosturePainLumbar vertebraeResearch and Analysis MethodsColumna vertebral - Músculos.PelvisPelvis - Mechanical properties.03 medical and health sciencesSigns and SymptomsDiagnostic MedicinePelvic pain.medicineHumansPelvis - Propiedades mecánicas.Lumbago.Spine - Muscles.Muscle SkeletalPelvisColumna vertebral - Anomalías y malformaciones.PregnancyDolor de espalda.HipElectromyographybusiness.industrylcsh:RElectrophysiological TechniquesBody WeightBiology and Life SciencesElectromagnetics030229 sport sciencesPregnant women.medicine.diseaseTrunkSpineBody HeightSagittal planeSpine - Abnormalities.Mujeres embarazadas.Women's HealthEmbarazo - Complicaciones y secuelas.lcsh:QbusinessPregnancy - Complications.Spine - Mechanical properties.030217 neurology & neurosurgeryPostpartum period
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Machine learning for a combined electroencephalographic anesthesia index to detect awareness under anesthesia

2020

Spontaneous electroencephalogram (EEG) and auditory evoked potentials (AEP) have been suggested to monitor the level of consciousness during anesthesia. As both signals reflect different neuronal pathways, a combination of parameters from both signals may provide broader information about the brain status during anesthesia. Appropriate parameter selection and combination to a single index is crucial to take advantage of this potential. The field of machine learning offers algorithms for both parameter selection and combination. In this study, several established machine learning approaches including a method for the selection of suitable signal parameters and classification algorithms are a…

Support Vector MachinePhysiologyComputer scienceElectroencephalographycomputer.software_genreField (computer science)Machine Learning0302 clinical medicineLevel of consciousnessAnesthesiology030202 anesthesiologyMedicine and Health SciencesAnesthesiamedia_commonClinical NeurophysiologyAnesthesiology MonitoringBrain MappingMultidisciplinaryArtificial neural networkmedicine.diagnostic_testPharmaceuticsApplied MathematicsSimulation and ModelingQUnconsciousnessRElectroencephalographyNeuronal pathwayddc:ElectrophysiologyBioassays and Physiological AnalysisBrain ElectrophysiologyAnesthesiaPhysical SciencesEvoked Potentials AuditoryMedicinemedicine.symptomAlgorithmsAnesthetics IntravenousResearch ArticleComputer and Information SciencesConsciousnessImaging TechniquesCognitive NeuroscienceSciencemedia_common.quotation_subjectNeurophysiologyNeuroimagingAnesthesia GeneralResearch and Analysis MethodsBayesian inferenceMachine learningMachine Learning Algorithms03 medical and health sciencesConsciousness MonitorsDrug TherapyArtificial IntelligenceMonitoring IntraoperativeSupport Vector MachinesmedicineHumansMonitoring Physiologicbusiness.industryElectrophysiological TechniquesBiology and Life SciencesSupport vector machineStatistical classificationCognitive ScienceNeural Networks ComputerArtificial intelligenceClinical MedicineConsciousnessbusinesscomputerMathematics030217 neurology & neurosurgeryNeurosciencePLOS ONE
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Non-invasive localization of atrial ectopic beats by using simulated body surface P-wave integral maps

2017

Non-invasive localization of continuous atrial ectopic beats remains a cornerstone for the treatment of atrial arrhythmias. The lack of accurate tools to guide electrophysiologists leads to an increase in the recurrence rate of ablation procedures. Existing approaches are based on the analysis of the P-waves main characteristics and the forward body surface potential maps (BSPMs) or on the inverse estimation of the electric activity of the heart from those BSPMs. These methods have not provided an efficient and systematic tool to localize ectopic triggers. In this work, we propose the use of machine learning techniques to spatially cluster and classify ectopic atrial foci into clearly diffe…

TachycardiaPhysiologyComputer sciencemedicine.medical_treatment02 engineering and technology030204 cardiovascular system & hematologyBioinformaticsBiochemistryACTIVATIONElectrocardiography0302 clinical medicineHeart RateAtrial FibrillationMedicine and Health SciencesImage Processing Computer-AssistedDEPOLARIZATIONBody surface P-wave integral mapsCardiac AtriaAtrial ectopic beatsMultidisciplinarymedicine.diagnostic_testORIGINApplied MathematicsSimulation and ModelingP waveBody Surface Potential MappingQRHeartHUMANSaarhythmiasAblationANATOMYBioassays and Physiological Analysismachine learningPhysical SciencesAtrial ectopic beatsMedicineAtrial Premature ComplexesFIBRILLATIONmedicine.symptomTACHYCARDIAAlgorithmsResearch ArticleclusteringTachycardia Ectopic AtrialComputer and Information SciencesSVMScienceCORONARY-SINUS0206 medical engineeringCardiologyResearch and Analysis MethodsMembrane PotentialTECNOLOGIA ELECTRONICAMachine Learning Algorithms03 medical and health sciencesArtificial IntelligenceHeart Conduction SystemSupport Vector MachinesBody surfacemedicineComputer SimulationHeart AtriaCoronary sinusFibrillationbusiness.industryElectrophysiological TechniquesBiology and Life SciencesPattern recognitionAtrial arrhythmiasELECTROPHYSIOLOGY020601 biomedical engineeringMODELElectrophysiologyCardiovascular AnatomyCardiac ElectrophysiologyArtificial intelligencebusinessElectrocardiographyBiomarkersMathematics
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