Search results for "Sleep Stages"

showing 10 items of 57 documents

Deterministic chaos and the first positive Lyapunov exponent: a nonlinear analysis of the human electroencephalogram during sleep

1993

Under selected conditions, nonlinear dynamical systems, which can be described by deterministic models, are able to generate so-called deterministic chaos. In this case the dynamics show a sensitive dependence on initial conditions, which means that different states of a system, being arbitrarily close initially, will become macroscopically separated for sufficiently long times. In this sense, the unpredictability of the EEG might be a basic phenomenon of its chaotic character. Recent investigations of the dimensionality of EEG attractors in phase space have led to the assumption that the EEG can be regarded as a deterministic process which should not be mistaken for simple noise. The calcu…

AdultMaleGeneral Computer ScienceModels NeurologicalChaoticSystems TheoryLyapunov exponentsymbols.namesakeControl theoryAttractorHumansStatistical physicsMathematicsSleep StagesButterfly effectQuantitative Biology::Neurons and CognitionElectroencephalographyMiddle AgedNonlinear systemData Interpretation StatisticalPhase spaceQuasiperiodic functionsymbolsSleep StagesSleepCyberneticsBiotechnologyBiological Cybernetics
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The calculation of the first positive Lyapunov exponent in sleep EEG data

1993

To help determine if the EEG is quasiperiodic or chaotic we performed a new analysis by calculating the first positive Lyapunov exponent L1 from sleep EEG data. Lyapunov exponents measure the mean exponential expansion or contraction of a flow in phase space. L1 is zero for periodic as well as quasiperiodic processes, but positive in case of chaotic processes expressing the sensitive dependence on initial conditions. We calculated L1 for sleep EEG segments of 15 healthy male subjects corresponding to sleep stages I, II, III, IV and REM (according to Rechtschaffen and Kales). Our investigations support the assumption that EEG signals are neither quasiperiodic waves nor simple noise. Moreover…

AdultMaleModels NeurologicalChaoticLyapunov exponentElectroencephalographyMeasure (mathematics)symbols.namesakemedicineHumansContraction (operator theory)MathematicsSleep StagesQuantitative Biology::Neurons and Cognitionmedicine.diagnostic_testGeneral NeuroscienceMathematical analysisBrainElectroencephalographySignal Processing Computer-AssistedMiddle AgedNonlinear Sciences::Chaotic DynamicsQuasiperiodic functionPhase spacesymbolsNeurology (clinical)SleepElectroencephalography and Clinical Neurophysiology
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Plasticity of brain wave network interactions and evolution across physiologic states

2015

Neural plasticity transcends a range of spatio-temporal scales and serves as the basis of various brain activities and physiologic functions. At the microscopic level, it enables the emergence of brain waves with complex temporal dynamics. At the macroscopic level, presence and dominance of specific brain waves is associated with important brain functions. The role of neural plasticity at different levels in generating distinct brain rhythms and how brain rhythms communicate with each other across brain areas to generate physiologic states and functions remains not understood. Here we perform an empirical exploration of neural plasticity at the level of brain wave network interactions repre…

AdultMaleNerve netCognitive NeuroscienceNeuroscience (miscellaneous)Sensory systemPlasticityCognitive neurosciencelcsh:RC321-571Young AdultCellular and Molecular NeuroscienceNeuroplasticitymedicineHumanslcsh:Neurosciences. Biological psychiatry. NeuropsychiatryOriginal ResearchSlow-wave sleepCerebral CortexNetwork physiologySleep StagesNeuronal PlasticityBrain WaveBrain wave interactions; Network physiology; Neural plasticity; Sleep; Time delay stability; Adult; Brain Waves; Cerebral Cortex; Female; Humans; Male; Nerve Net; Neuronal Plasticity; Sleep; Young Adult; Neuroscience (miscellaneous); Cellular and Molecular Neuroscience; Sensory Systems; Cognitive NeuroscienceNetwork dynamicsBrain WavesSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Sensory Systemsbrain wave interactionsmedicine.anatomical_structureBrain wave interactionFemaletime delay stabilityNerve NetSensory SystemPsychologySleepNeuroscienceHumanNeuroscienceneural plasticityFrontiers in Neural Circuits
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Subchronic Effects of Olanzapine on Sleep EEG in Schizophrenic Patients with Predominantly Negative Symptoms

2004

Background It is well known that sleep disturbance is an integral symptom of schizophrenia. In recent studies, a deficit of delta sleep has been observed in schizophrenic patients. Antipsychotic drugs with serotonin (5-HT2) receptor-antagonistic properties are considered to have delta sleep promoting effects. We have investigated the effects of subchronic olanzapine treatment on sleep EEG in schizophrenic patients. Methods The effects of administration of olanzapine (15 to 20 mg) on sleep were studied for four weeks in 10 male, drug-free patients suffering from schizophrenia with predominantly negative symptoms. Conventional sleep EEG parameters were investigated at baseline and after treat…

AdultMaleOlanzapineAdolescentPolysomnographymedicine.medical_treatmentPolysomnographySeverity of Illness IndexDrug Administration ScheduleBenzodiazepinesSurveys and QuestionnairesmedicineHumansPharmacology (medical)AntipsychoticSleep disorderSleep Stagesmedicine.diagnostic_testElectroencephalographyGeneral MedicineMiddle Agedmedicine.diseaseSleep in non-human animalsDiagnostic and Statistical Manual of Mental DisordersPsychiatry and Mental healthDelta RhythmOlanzapineSchizophreniaAnesthesiaDelta RhythmSchizophreniaSchizophrenic PsychologySleep StagesPsychologyAntipsychotic Agentsmedicine.drugPharmacopsychiatry
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Nonlinear EEG dynamics during sleep in depression and schizophrenia.

1994

The article deals with the question, whether nonlinear analysis of the sleep EEG may give clues to understanding of disturbed information processing in psychiatric diseases. We point out how the nonlinear approach to EEG dynamics is motivated and review recent investigations concerning nonlinear dynamical properties of physiological systems. We present calculations of the correlation dimension D2 and the principal Lyapunov-exponent lambda 1 for sleep EEG data from 9 depressive and 11 schizophrenic inpatients compared to healthy controls. Combining the findings for D2 and lambda 1 our results point to altered nonlinear brain dynamics mainly during slow wave sleep in depression and during REM…

AdultMalePsychosisCorrelation dimensionHallucinationsmedia_common.quotation_subjectPoison controlSleep REMElectroencephalographyDevelopmental psychologyMental ProcessesSchizophrenic PsychologymedicineHumansmedia_commonSlow-wave sleepPsychiatric Status Rating ScalesDepressive Disordermedicine.diagnostic_testGeneral NeuroscienceCognitionElectroencephalographyGeneral MedicineMiddle Agedmedicine.diseaseSchizophreniaFemaleSchizophrenic PsychologySleep StagesPsychologySleepNeuroscienceVigilance (psychology)The International journal of neuroscience
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Estimation of the dimensionality of sleep-EEG data in schizophrenics

1993

Deterministic chaos could be regarded as a healthy flexibility of the human brain necessary for correct neuronal operations. Several investigations have demonstrated that in healthy subjects the dimensionality of REM sleep is much higher than that of slow wave sleep (SWS). We investigated the sleep-EEG of schizophrenic patients with methods from nonlinear system theory in order to estimate the dynamic properties of CNS. We hypothesized that schizophrenics would reveal alterations of their dynamic EEG features indicating impaired information processing. In 11 schizophrenic patients, the EEG's dimensionality during sleep stages II and REM was reduced. We suggest that such lower dimensional ch…

AdultMalePsychosisPolysomnographymedia_common.quotation_subjectRapid eye movement sleepSleep REMElectroencephalographyMental ProcessesReaction TimemedicineHumansPharmacology (medical)Biological PsychiatrySlow-wave sleepmedia_commonCerebral CortexPsychiatric Status Rating ScalesSleep Stagesmedicine.diagnostic_testSignal Processing Computer-AssistedGeneral MedicineHuman brainmedicine.diseasePsychiatry and Mental healthmedicine.anatomical_structureSchizophreniaFemaleSchizophrenic PsychologyNerve NetPsychologyNeurosciencePsychopathologyVigilance (psychology)European Archives of Psychiatry and Clinical Neuroscience
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An analysis of the brain's transfer properties in schizophrenia: Amplitude frequency characteristics and evoked potentials during sleep

1998

Background: Classical analysis of spontaneous sleep electroencephalogram (EEG) in schizophrenia commonly reveals alterations of sleep continuity, number of awakenings, slow-wave sleep (SWS), and REM sleep compared to healthy controls; however, conventional analysis cannot help understand dynamic differences of the sleep EEG during different sleep stages. Methods: We measured late components of auditory evoked potentials (AEPs) and visual evoked potentials (VEPs) during different sleep stages of 11 schizophrenic inpatients and in a sex- and age-matched control group from scalp positions FZ, CZ, and PZ. According to linear system theory, we then computed the amplitude-frequency characteristic…

AdultMalePsychosisSleep REMPolysomnographyElectroencephalographymental disordersmedicineHumansBiological PsychiatryDepressive DisorderSleep Stagesmedicine.diagnostic_testBrainElectroencephalographymedicine.diseaseSleep in non-human animalsDelta waveSchizophreniaEvoked Potentials AuditorySchizophreniaEvoked Potentials VisualFemaleSleep StagesK-complexPsychologyNeuroscienceBiological Psychiatry
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Analysis of sleep EEG microstructure in subchronic paroxetine treatment of healthy subjects

1997

Paroxetine is a selective and potent serotonin reuptake inhibitor and its efficacy for the treatment of depression has been proven. Under acute and subchronical treatment regimens, disturbances of the regular sleep pattern are a reported side effect of the drug. The present study was therefore performed to investigate the impact of subchronic treatment with the selective serotonin reuptake inhibitor paroxetine on the microstructure of the sleep EEG. The study especially 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 a spectral powe…

AdultMaleSerotonin reuptake inhibitorElectroencephalographyNon-rapid eye movement sleepDouble-Blind MethodmedicineHumansPharmacologySleep StagesSleep disorderCross-Over Studiesmedicine.diagnostic_testElectroencephalographymedicine.diseaseParoxetineSleep in non-human animalsParoxetineDelta RhythmAnesthesiaAntidepressive Agents Second-GenerationBeta RhythmSleepPsychologyReuptake inhibitorSelective Serotonin Reuptake Inhibitorsmedicine.drugPsychopharmacology
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Excitability and susceptibility of the brain's electrical activity during sleep: an analysis of late components of AEPs and VEPs.

1991

We investigated ten healthy male subjects and measured late components of AEPs and VEPs during sleep. According to Rechtschaffen and Kales (1968) we performed an off-line scoring procedure of sleep-EEG and averaged the AEPs and VEPs of five different periods, corresponding to sleep stages I, II, III, IV and REM. From the averaged evoked potentials we computed the amplitude-frequency-characteristic (AFC) of the brain (Basar, 1980) during different sleep stages. These AFCs characterize transfer properties of an oscillating system. A comparison of different AFCs has shown that the excitability of the brain depicts a clear alpha resonance during stage I, a pronounced delta resonance during stag…

AdultMaleSleep Stagesmedicine.diagnostic_testGeneral Neurosciencemedia_common.quotation_subjectModels NeurologicalBrainGeneral MedicineElectroencephalographyElectrophysiologyCorrelation analysismedicineEvoked Potentials AuditoryEvoked Potentials VisualHumansSpectral analysisSleep StagesPsychologySleepNeuroscienceSleep eegVigilance (psychology)media_commonThe International journal of neuroscience
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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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