Search results for "stages"

showing 10 items of 217 documents

Limbic activity in slow wave sleep in a healthy subject with alpha–delta sleep

2001

All-night electroencephalographic (EEG) activity was recorded in a healthy subject with known alpha-delta sleep. Recordings were made from all 19 of the 10/20 system electrode sites, and low resolution electromagnetic tomography (LORETA) was used to estimate intracerebral current densities. Sleep stages were compared within classical frequency bands by statistical parametric mapping (SPM). With the onset of sleep, occipital alpha abated. With increasing depth of sleep, alpha power increased in a region comprising the left frontal lobe, the anterior and parietal cingulum, and the anterior and medial right front lobe. In slow wave sleep (SWS), frontal alpha power was much greater than in wake…

AdultMaleSleep Stagesmedicine.diagnostic_testPolysomnographyNeuroscience (miscellaneous)Sleep spindlePolysomnographyAnatomyElectroencephalographyAlpha RhythmPsychiatry and Mental healthDelta RhythmDelta RhythmLimbic SystemmedicineHumansCingulum (brain)Radiology Nuclear Medicine and imagingSleep StagesSleepK-complexPsychologyNeuroscienceSlow-wave sleepPsychiatry Research: Neuroimaging
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Sleep investigations in erectile dysfunction

2003

Abstract Regarding the aetiology of erectile dysfunction, beside numerous organic causes in many cases psychological factors play an important role. The pathophysiological mechanisms underlying the so-called psychogenic erectile dysfunction are not yet understood. Based on a neurobiological approach to psychogenic erectile dysfunction, polysomnographic investigations were carried out with the aim of identifying possible alterations of the sleep EEG. 24 male patients with psychogenic erectile dysfunction without detectable organic factors or other mental disorders were studied in the sleep laboratory, as well as an age-matched control group without sexual dysfunctions. Beside a reduction of …

AdultMaleSleep Wake DisordersSleep StagesPolysomnographyRapid eye movement sleepElectroencephalographyMiddle AgedBioinformaticsmedicine.diseaseSleep in non-human animalsPsychiatry and Mental healthSexual dysfunctionErectile dysfunctionErectile DysfunctionmedicineHumansPsychogenic diseasemedicine.symptomSleepPsychologyNeuroscienceBiological PsychiatryDepression (differential diagnoses)Slow-wave sleepJournal of Psychiatric Research
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Macrostructural EEG characterization based on nonparametric change point segmentation: application to sleep analysis

2001

In the present investigation a new methodology for macrostructural EEG characterization based on automatic segmentation has been applied to sleep analysis. A nonparametric statistical approach for EEG segmentation was chosen, because it minimizes the need for a priori information about a signal. The method provides the detection of change-points i.e. boundaries between quasi-stationary EEG segments based on the EEG characteristics within four fundamental frequency bands (delta, theta, alpha and beta). Polysomnographic data of 18 healthy subjects were analyzed. Our findings show that nonparametric change-point segmentation in combination with cluster analysis enables us to obtain a clear pic…

AdultMaleSpeech recognitionPilot ProjectsElectroencephalographyStatistics NonparametricCorrelationmedicineHumansSegmentationAgedSleep Stagesmedicine.diagnostic_testbusiness.industryGeneral NeuroscienceNonparametric statisticsElectroencephalographyPattern recognitionMiddle AgedStep functionPiecewiseA priori and a posterioriFemaleSleep StagesArtificial intelligencePsychologybusinessAlgorithmsJournal of Neuroscience Methods
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Online detection of rem sleep based on the comprehensive evaluation of short adjacent eeg segments by artificial neural networks

1997

Abstract 1. 1. For scientific and clinical requirements the present objective is a robust automatic online algorithm to detect rapid eye movement (REM) steep from single channel sleep EEG data without using EMG or EOG information. 2. 2. For data preprocessing 20 seconds time periods of the continuous EEG activity are digitally filtered in 7 frequency bands. Then the RMS values of these filtered signals are calculated along segments of 2.5 seconds. The resulting matrix of RMS values is representing information on the power of the signal localized in time and frequency and serves as input to an artificial neural network. A pooled set of EEG data together with the corresponding manual evaluati…

AdultMaleTime FactorsChannel (digital image)Sleep REMWord error rateElectroencephalographyOnline SystemsSignalmedicineHumansWakefulnessOnline algorithmBiological PsychiatryPharmacologymedicine.diagnostic_testArtificial neural networkbusiness.industryReproducibility of ResultsEye movementElectroencephalographyPattern recognitionNeural Networks ComputerSleep StagesData pre-processingArtificial intelligencePsychologybusinessAlgorithmsProgress in Neuro-Psychopharmacology and Biological Psychiatry
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Dynamical properties of the sleep EEG in different frequency bands.

1993

The information concerning the dynamic behavior of the sleep process gained by the usual evaluation of sleep EEGs according to the criteria of Rechtschaffen and Kales is limited. Therefore a new methodical approach is presented, which is a special case of spectral analyzed data processing. After digital band-pass filtering of the sleep EEG the root-mean-square (RMS) value of successive 20 s EEG epochs is calculated in defined frequency ranges. This procedure ensures to take into account the influence of the phase relation between different frequency components. The temporal course of these RMS values during the night reveals smooth curves with continuous transitions between different sleep …

AdultMaleTime FactorsFrequency bandmedia_common.quotation_subjectSleep REMElectroencephalographyRadio spectrumRoot mean squaremedicineHumansStatistical physicsWakefulnessmedia_commonCommunicationQuantitative Biology::Neurons and Cognitionmedicine.diagnostic_testbusiness.industryGeneral NeuroscienceObservableElectroencephalographyGeneral MedicineMaxima and minimaSleep StagesPsychologybusinessSleepDigital filterVigilance (psychology)The International journal of neuroscience
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Conventional and spectral power analysis of all-night sleep EEG after subchronic treatment with paroxetine in healthy male volunteers.

1998

Paroxetine is a selective and potent serotonin reuptake inhibitor with reported antidepressant properties. Since changes in the regular sleeping pattern were described as side effects under treatment with paroxetine, the impact of the drug on the sleep architecture is of major interest. The present study addressed the question of subchronic effects of paroxetine medication (30 mg/day) in eight healthy male volunteers in a double blind, placebo-controlled crossover-design. Conventional sleep EEG parameters and additionally computed spectral power analysis based on FFT of 20-s time epochs in the delta, theta, alpha, beta and gamma frequency range for different sleep stages after 4 weeks of tr…

AdultMaleTime FactorsSerotonin reuptake inhibitorSleep REMNon-rapid eye movement sleepDouble-Blind MethodReference ValuesmedicineHumansPharmacology (medical)Biological PsychiatrySlow-wave sleepPharmacologySleep StagesAnalysis of VarianceCross-Over StudiesElectroencephalographySleep in non-human animalsParoxetineCircadian RhythmPsychiatry and Mental healthParoxetineNeurologyAnesthesiaAntidepressantAntidepressive Agents Second-GenerationNeurology (clinical)Sleep onset latencyPsychologySleepSelective Serotonin Reuptake Inhibitorsmedicine.drugEuropean neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology
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Nonlinear analysis of sleep EEG data in schizophrenia: calculation of the principal Lyapunov exponent

1995

The generating mechanism of the electroencephalogram (EEG) points to the hypothesis that EEG signals derive from a nonlinear dynamic system. Hence, the unpredictability of the EEG might be considered as a phenomenon exhibiting its chaotic character. The essential property of chaotic dynamics is the so-called sensitive dependence on initial conditions. This property can be quantified by calculating the system's first positive Lyapunov exponent, L1. We calculated L1 for sleep EEG segments of 13 schizophrenic patients and 13 control subjects that corresponded to sleep stages I, II, III, IV and REM (rapid eye movement), as defined by Rechtschaffen and Kales, for the lead positions Cz and Pz. Du…

AdultMalemedia_common.quotation_subjectChaoticPolysomnographyLyapunov exponentElectroencephalographyDevelopmental psychologysymbols.namesakemental disordersmedicineHumansBiological Psychiatrymedia_commonPsychiatric Status Rating ScalesSleep Stagesmedicine.diagnostic_testMathematical analysisEye movementElectroencephalographyPsychiatry and Mental healthNonlinear systemSchizophreniasymbolsFemaleSchizophrenic PsychologySleepPsychologypsychological phenomena and processesVigilance (psychology)Psychiatry Research
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Functional properties of the brain during sleep under subchronic zopiclone administration in man.

1994

Zopiclone, a non-benzodiazepine, has been shown to be efficient in the treatment of transient, short-term or chronic sleep disorders. Apart from its hypnotic effects zopiclone has anxiolytic, anticonvulsant and myorelaxant properties and is therefore hardly distinguishable from benzodiazepines. Dependence liability and discontinuation effects have been reported to be less pronounced. Therefore zopiclone seems to be a hypnotic drug which may cause fewer side effects than conventional benzodiazepines. From the electrophysiological point of view one requires from a hypnotic drug the induction of a physiological sleep pattern as well as no alterations of information processing by the brain. The…

AdultMalemedicine.drug_classmedicine.medical_treatmentPolysomnographyStimulationPolysomnographyAnxiolyticPiperazinesMental ProcessesmedicineHumansHypnotics and SedativesPharmacology (medical)Biological PsychiatryPharmacologyZopicloneSleep Stagesmedicine.diagnostic_testBrainElectroencephalographySleep in non-human animalsPsychiatry and Mental healthElectrophysiologyAnticonvulsantNeurologyAnesthesiaEvoked Potentials AuditoryEvoked Potentials VisualNeurology (clinical)Sleep StagesPsychologySleepNeuroscienceAzabicyclo Compoundsmedicine.drugEuropean neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology
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Melatonin Secretion and Increased Daytime Sleepiness in Childhood Craniopharyngioma Patients

2002

Craniopharyngioma is a rare dysontogenetic benign tumor. Patients frequently suffer from endocrine deficiencies, sleep disturbances, and obesity due to pituitary and hypothalamic lesions. A self-assessment daytime sleepiness questionnaire (German version of the Epworth Sleepiness Scale) was used to evaluate 79 patients with childhood craniopharyngioma. Because hypothalamic lesions may explain daytime sleepiness in craniopharyngioma patients, salivary melatonin and cortisol concentrations were examined in obese and nonobese craniopharyngioma patients (n = 79), patients with hypothalamic pilocytic astrocytoma (n = 19), and control subjects (n = 30). Using a general linear model procedure anal…

AdultMalemedicine.medical_specialtyAdolescentHydrocortisoneEndocrinology Diabetes and MetabolismClinical BiochemistryAstrocytomaBiochemistryMelatoninCraniopharyngiomaEndocrinologySurveys and QuestionnairesInternal medicinemedicineHumansPituitary NeoplasmsObesityChildSalivaMelatoninHydrocortisoneMorningSleep disorderbusiness.industryEpworth Sleepiness ScaleBiochemistry (medical)Childhood Craniopharyngiomamedicine.diseaseCraniopharyngiomaEndocrinologyChild PreschoolFemaleSleep StagesHypothalamic Neoplasmsmedicine.symptombusinessSomnolencemedicine.drugThe Journal of Clinical Endocrinology & Metabolism
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Influence of age on the interrelation between EEG frequency bands during NREM and REM sleep.

2004

The age-dependence of temporal interrelations between distinct frequency bands of sleep EEG was investigated in a group of 59 healthy young and middle-aged males via cross correlation analysis. Based on global evaluation throughout the entire night, a highly significant decline of the delta/theta correlation with increasing age was found. A separate analysis for non-rapid eye movement (NREM) and rapid eye movement (REM) sleep revealed different changes with aging. During NREM sleep, the correlation between the delta and theta frequency bands decreased with increasing age. In contrast, during REM sleep, a stronger correlation became obvious between the theta, alpha, and beta frequency bands …

AdultMalemedicine.medical_specialtyAgingTime FactorsAdolescentEye MovementsPolysomnographyRapid eye movement sleepSleep REMElectroencephalographyAudiologyNon-rapid eye movement sleepDevelopmental psychologymedicineHumansBeta RhythmSlow-wave sleepElectronic Data Processingmedicine.diagnostic_testGeneral NeuroscienceAge FactorsEye movementElectroencephalographyGeneral MedicineMiddle AgedDelta RhythmSleep StagesK-complexPsychologyThe International journal of neuroscience
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