0000000000600311

AUTHOR

Juergen Fell

showing 3 related works from this author

Nonlinear dynamical aspects of the human sleep EEG.

1994

This article deals with the application of methods from the theory of nonlinear dynamical systems to EEG signals. Theoretical background, mathematical concepts and algorithms for the calculation of "non-linear parameters" are reviewed and influences of the structure of reconstructed data sets on the calculations are pointed out. We present results for the estimation of the correlation dimension D2 and the principal Lyapunov-exponent lambda 1 for sleep EEG data respectively from 10 and 15 healthy subjects corresponding to different sleep stages. Essentially, we found a statistically significant decrease of both D2 and lambda 1 as sleep moves towards slow wave stages. The values for REM sleep…

Correlation dimensionmedia_common.quotation_subjectPoison controlLyapunov exponentElectroencephalographyModels Biologicalsymbols.namesakemedicineHumansStatistical physicsmedia_commonSleep StagesQuantitative Biology::Neurons and Cognitionmedicine.diagnostic_testGeneral NeuroscienceElectroencephalographyGeneral MedicineNonlinear systemNonlinear DynamicssymbolsPsychologySleepSleep eegAlgorithmsMathematicsVigilance (psychology)The International journal of neuroscience
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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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Nonlinear analysis of sleep eeg in depression: Calculation of the largest lyapunov exponent

1995

Conventional sleep analysis according to Rechtschaffen and Kales (1968) has provided meaningful contributions to the understanding of disturbed sleep architecture in depression. However, there is no characteristic alteration of the sleep cycle, which could serve as a highly specific feature for depressive illness. Therefore, we started to investigate nonlinear properties of sleep electroencephalographic (EEG) data in order to elucidate functional alterations other than those obtained from classical sleep analysis. The application of methods from nonlinear dynamical system theory to EEG data has led to the assumption that the EEG can be treated as a deterministic chaotic process. Chaotic sys…

AdultMalemedicine.medical_specialtyChaoticSleep REMPoison controlLyapunov exponentAudiologyElectroencephalographysymbols.namesakemedicineHumansPharmacology (medical)PsychiatryBiological PsychiatryPsychiatric Status Rating ScalesDepressive DisorderSleep Stagesmedicine.diagnostic_testEye movementElectroencephalographyGeneral MedicineMiddle AgedSleep in non-human animalsPsychiatry and Mental healthNonlinear systemsymbolsFemalePsychologyEuropean Archives of Psychiatry and Clinical Neuroscience
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