Complexity analysis of spontaneous EEG.

The aim of the present paper is the assessment of the overall complexity of spontaneous and non-paroxysmal EEG signals obtained from three groups of human subjects, e.g., healthy, seizure and mania. Linear complexity measure suitable for multi-variate signals, along with nonlinear measures such as approximate entropy (ApEn) and Taken's estimator are considered. The degree of linear complexity is significantly reduced for the pathological groups compared with healthy group. The nonlinear measures of complexity are significantly decreased in the seizure group for most of the electrodes, whereas a distinct discrimination between the maniac and healthy groups based on these nonlinear measures is not evident.

• Publication year

  2000

• Venue

  Acta Neurobiologiae Experimentalis

• Publication date

  2000-12-31

• Fields of study

  Medicine, Mathematics

• Identifiers
  DOI 10.55782/ane-2000-1369PMID 11200177
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• A proposed name for aperiodic brain activity: stochastic chaos

  2000cited by this paper
• Quantitative measure of complexity of EEG signal dynamics.

  1999cited by this paper
• Epileptic activity recognition in EEG recording

  1999cited by this paper
• Towards a quantitative characterisation of functional states of the brain: from the non-linear methodology to the global linear description.

  1999cited by this paper
• CAN EPILEPTIC SEIZURES BE PREDICTED? EVIDENCE FROM NONLINEAR TIME SERIES ANALYSIS OF BRAIN ELECTRICAL ACTIVITY

  1998cited by this paper
• Practical implementation of nonlinear time series methods: The TISEAN package.

  1998cited by this paper
• Neuronal Complexity Loss in Interictal EEG Recorded with Foramen Ovale Electrodes Predicts Side of Primary Epileptogenic Area in Temporal Lobe Epilepsy: A Replication Study

  1998cited by this paper
• Beyond mapping: estimating complexity of multichannel EEG recordings.

  1996cited by this paper
• Depression as a dynamical disease.

  1996cited by this paper
• Analysis of complexity of EEG during sleep.

  1996cited by this paper
• Physiological time-series analysis: what does regularity quantify?

  1994cited by this paper
• A Comparative Classification of Complexity Measures

  1994cited by this paper
• Approximate entropy as a measure of system complexity.

  1991cited by this paper
• Information content and predictability of lumped and distributed dynamical systems

  1989cited by this paper
• Evidence of chaotic dynamics underlying the human alpha-rhythm electroencephalogram

  1989cited by this paper
• Book Review: Electroencephalography: Basic Principles, Clinical Applications and Related Fields, ed 2, edited by Ernst Niedermeyer and Fernando Lopes da Silva. Published in 1987 by Urban & Schwarzenberg, Baltimore, 940 pages, $110.00

  1989cited by this paper
• Low-dimensional chaos in an instance of epilepsy.

  1986cited by this paper
• Information theoretic covariance complexity and its relation to pattern recognition

  1985cited by this paper
• On the numerical determination of the dimension of an attractor

  1985cited by this paper
• The physical significance of time domain descriptors in EEG analysis.

  1973cited by this paper

• Spectral Information Dynamics of Cortical Signals Uncover the Hierarchical Organization of the Human Brain's Motor Network

  2024cites this paper
• Age-dependent functional development pattern in neonatal brain: An fMRI-based brain entropy study

  2024cites this paper
• A Human–Machine Joint Learning Framework to Boost Endogenous BCI Training

  2023cites this paper
• Temporal and Spatial Dynamics of EEG Features in Female College Students with Subclinical Depression

  2022cites this paper
• When Traditional Chinese Medicine Meets AI: A Novel Depression Treatment Paradigm based on Transcutaneous Vagus Nerve Stimulation

  2022cites this paper
• Markers of Central Neuropathic Pain in Higuchi Fractal Analysis of EEG Signals From People With Spinal Cord Injury

  2021cites this paper
• Inverse sample entropy analysis for stock markets

  2021cites this paper
• A Case-Based Reasoning Model for Depression Based on Three-Electrode EEG Data

  2020cites this paper
• Perturbations and phase transitions in swarm optimization algorithms

  2019cites this paper
• Motion Analysis in Anterior Cruciate Ligament Deficient and Reconstructed Knees

  2018cites this paper
• ECG-derived Blood Pressure Classification using Complexity Analysis-based Machine Learning

  2018cites this paper
• Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques

  2018cites this paper
• Understanding, measuring, and, invoking mindfulness and mindlessness during human-computer interactions

  2018cites this paper
• Normalized spatial complexity analysis of neural signals

  2018cites this paper
• Study on Feature Selection Methods for Depression Detection Using Three-Electrode EEG Data

  2018cites this paper
• Novel analysis of fNIRS acquired dynamic hemoglobin concentrations: application in young children with autism spectrum disorder.

  2018cites this paper
• Associations of brain entropy (BEN) to cerebral blood flow and fractional amplitude of low-frequency fluctuations in the resting brain

  2018cites this paper
• EEG signal complexity analysis for schizophrenia during rest and mental activity

  2017cites this paper
• Complexity analysis of EEG motor movement with eye open and close subjects using multiscale permutation entropy (MPE) technique

  2017cites this paper
• Altered Resting-State EEG Microstate Parameters and Enhanced Spatial Complexity in Male Adolescent Patients with Mild Spastic Diplegia

  2017cites this paper
• The relationship between ERP components and EEG spatial complexity in a visual Go/Nogo task.

  2017cites this paper
• Spike Detection from EEG signals with aid of Morphological Filters and Genetic Algorithm

  2017cites this paper
• Nonlinear dynamic analysis of electrocardiogram on heart rate variability

  2017cites this paper
• On using compressibility to detect when slime mould completed computation

  2016cites this paper
• Halting Physarum Machines Based on Compressibility

  2016cites this paper
• An Information-Theoretic Framework to Map the Spatiotemporal Dynamics of the Scalp Electroencephalogram

  2016cites this paper
• Pervasive EEG diagnosis of depression using Deep Belief Network with three-electrodes EEG collector

  2016cites this paper
• Age-related variation in EEG to music stimulation: A nonlinear analysis

  2016cites this paper
• Mild Depression Detection of College Students: an EEG-Based Solution with Free Viewing Tasks

  2015cites this paper
• The effects of cardiorespiratory fitness and acute aerobic exercise on executive functioning and EEG entropy in adolescents

  2015cites this paper
• Effect of extreme data loss on heart rate signals quantified by entropy analysis

  2015cites this paper
• A hybrid feature selection approach for the early diagnosis of Alzheimer’s disease

  2015cites this paper
• Seizure Prediction Methods: A Review of the Current Predicting Techniques

  2014cites this paper
• Brain Coordination Dynamics in Altered States of Consciousness in Children

  2014cites this paper
• Non-Linear EEG Measures in Meditation

  2014cites this paper
• Characterization of EEG signals for identification of alcoholics using ANOVA ranked approximate entropy and classifiers

  2014cites this paper
• Network connectivity modulates power spectrum scale invariance

  2014cites this paper
• Ordinal Pattern Based Complexity Analysis for EEG Activity Evoked by Manual Acupuncture in Healthy Subjects

  2014cites this paper
• Vascular restriction decreases EMG regularity during walking.

  2013influential citation
• Age-Related Task Sensitivity of Frontal EEG Entropy During Encoding Predicts Retrieval

  2013cites this paper
• Spike Detection from EEG Signals with Aid of Morphological Filters and Particle Swarm Optimization (PSO)

  2013cites this paper
• Electrophysiological entropy in younger adults, older controls and older cognitively declined adults.

  2012cites this paper
• Cyclic Alternating Patterns in Normal Sleep and Insomnia: Structure and Content Differences

  2012cites this paper
• Task-related brain oscillations in normal aging

  2012cites this paper
• Effects of subject’s wakefulness state and health status on approximated entropy during eye opening and closure test of routine EEG examination

  2012cites this paper
• Modeling the relationship between Higuchi’s fractal dimension and Fourier spectra of physiological signals

  2012cites this paper
• Differentiation of Heart Rate Time Series from Electroencephalogram and Noise

  2012cites this paper
• Using Empirical Mode Decomposition Weighting Functionals as Time Series Filtering coefficients for Physiological Recordings

  2012cites this paper
• Characterization of early partial seizure onset: frequency, complexity and entropy.

  2012cites this paper
• Comparison of Pre-episode and Pre-remission States Using Mood Ratings from Patients with Bipolar Disorder

  2011cites this paper
• Neurochemical and electrophysiological changes induced by paradoxical sleep deprivation in rats.

  2011cites this paper
• Exposure induced changes in EEG phase synchrony and entropy: A snake phobia case report

  2010cites this paper
• A Prediction Approach for Multichannel EEG Signals Modeling Using Local Wavelet SVM

  2010cites this paper
• Intrinsic Plagiarism Detection using Complexity Analysis

  2009cites this paper
• Pearl Ensemble Classifier Decision

  2009cites this paper
• Intrinsic Plagiarism Detection using Complexity Analysis

  2009cites this paper
• Multiscale Entropy Analysis of EEG for Assessment of Post-Cardiac Arrest Neurological Recovery Under Hypothermia in Rats

  2009cites this paper
• UNCOVERING PLAGIARISM , AUTHORSHIP AND SOCIAL SOFTWARE MISUSE 25 th ANNUAL CONFERENCE OF THE SPANISH SOCIETY FOR NATURAL LANGUAGE PROCESSING , SEPLN 2009

  2009cites this paper
• A Novel Method for Analyzing Dynamic Complexity of EEG Signals Using Symbolic Entropy Measurement

  2009cites this paper
• On the Complexity and Energy Analyses in EEG between Alcoholic and Control Subjects during Delayed Matching to Sample Paradigm

  2008cites this paper
• Two-Stage Biometric Authentication Method Using Thought Activity Brain Waves

  2008cites this paper
• The effect of time delay on Approximate & Sample Entropy calculations

  2008cites this paper
• Abnormal EEG complexity in patients with schizophrenia and depression.

  2008cites this paper
• Effects of mobile phone radiation on the human central nervous system

  2008cites this paper
• Progress in predicting seizure episodes with nonlinear methods.

  2008cites this paper
• Calculation of EEG correlation dimension: Large massifs of experimental data

  2008cites this paper
• Onthemeaningandinterpretationofglobaldescriptorsofbrainelectrical activity.IncludingareplytoX.Peietal.

  2007cites this paper
• On the meaning and interpretation of global descriptors of brain electrical activity. Including a reply to X. Pei et al.

  2007cites this paper
• The effect of hypobaric hypoxia on multichannel EEG signal complexity.

  2007cites this paper
• VARIABILITY ANALYSIS & ITS APPLICATIONS TO PHYSIOLOGICAL TIME SERIES DATA

  2007cites this paper
• Estimation of ApEn for short-term HFECG based on multi-resolution analysis

  2007cites this paper
• ACL deficiency affects stride-to-stride variability as measured using nonlinear methodology

  2007cites this paper
• Dynamic complexity of cognitive event-related potential based on time-dependent approximate entropy

  2006cites this paper
• Peri-ictal complexity loss as determined by approximate entropy analysis in the electrocorticogram obtained from chronic subdural recordings in patients with refractory temporal lobe epilepsy

  2006cites this paper
• A Novel Approach to Measure Variability in the Anterior Cruciate Ligament Deficient Knee During Walking: The Use of the Approximate Entropy in Orthopaedics

  2006cites this paper
• Music and the EEG: A Study using Nonlinear Methods

  2006cites this paper
• Interictal EEG as a physiological adaptation. Part I. Composition of brain oscillations in interictal EEG.

  2006influential citation
• Neurological EEG Monitors: A Review

  2006cites this paper
• Fear induced complexity loss in the electrocardiogram of flight phobics: a multiscale entropy analysis.

  2006cites this paper
• Interictal EEG as a physiological adaptation. Part II. Topographic variability of composition of brain oscillations in interictal EEG.

  2006cites this paper
• Novel Method for Measuring the Complexity of Schizophrenic EEG Based on Symbolic Entropy Analysis

  2005cites this paper
• COMPLEXITY ANALYSIS OF DENSE ARRAY EEG SIGNAL REVEALS SEX DIFFERENCE

  2005cites this paper
• Discussion on b Towards a quantitative characterization of functional states of the brain : from the non-linear methodology to the global linear description Q by J . Wackermann

  2005cites this paper
• The base-scale entropy analysis of short-term heart rate variability signal

  2005cites this paper
• Approximate entropy analysis of short-term HFECG based on wave mode

  2005cites this paper
• Detecting temporal lobe seizures from scalp EEG recordings: a comparison of various features.

  2005cites this paper
• Discussion on "Towards a quantitative characterization of functional states of the brain: from the non-linear methodology to the global linear description" by J. Wackermann.

  2005cites this paper
• Complexity Measures of Event Related Potential Surface Laplacian Data Calculated Using the Wavelet Packet Transform

  2004cites this paper
• Mode entropy and dynamical analysis of irregularity for HFECG

  2004cites this paper
• Advances in quantitative electroencephalogram analysis methods.

  2004cites this paper
• Complexity quantification of dense array EEG using sample entropy analysis.

  2004cites this paper
• Nonlinear analysis of EEG signals at different mental states

  2004cites this paper
• Complexity of Brain Dynamics Inferred from the Sample Entropy Analysis of Electroencephalogram

  2003cites this paper
• Signatures of Higher Functions of Brain Dynamics in Electroencephalogram: A Nonlinear Analysis

  2003cites this paper
• Human electrophysiological and cognitive effects of exposure to ELF magnetic and ELF modulated RF and microwave fields: A review of recent studies

  2002cites this paper
• Reduced degree of long-range phase synchrony in pathological human brain.

  2001influential citation