Comparison of fractal and power spectral EEG features: Effects of topography and sleep stages

[1]  Florian D. Schwahn,et al.  Probability Theory , 2021, Foundations of Constructive Probability Theory.

[2]  Qionghai Dai,et al.  On the Recording Reference Contribution to EEG Correlation, Phase Synchorony, and Coherence , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[3]  A. Kalauzi,et al.  Modeling EEG fractal dimension changes in wake and drowsy states in humans--a preliminary study. , 2010, Journal of theoretical biology.

[4]  B. Weiss,et al.  Spatio-temporal analysis of monofractal and multifractal properties of the human sleep EEG , 2009, Journal of Neuroscience Methods.

[5]  Kristína Susmáková,et al.  Discrimination ability of individual measures used in sleep stages classification , 2008, Artif. Intell. Medicine.

[6]  Arjen van Ooyen,et al.  Genetic Contributions to Long-Range Temporal Correlations in Ongoing Oscillations , 2007, The Journal of Neuroscience.

[7]  S. Sigurdsson,et al.  Reliability of quantitative EEG features , 2007, Clinical Neurophysiology.

[8]  S. Leistedt,et al.  The modifications of the long-range temporal correlations of the sleep EEG due to major depressive episode disappear with the status of remission , 2007, Neuroscience.

[9]  S. Leistedt,et al.  Characterization of the sleep EEG in acutely depressed men using detrended fluctuation analysis , 2007, Clinical Neurophysiology.

[10]  Qianli D. Y. Ma,et al.  A new measure to characterize multifractality of sleep electroencephalogram , 2006 .

[11]  K. Torre,et al.  Fractal analyses for 'short' time series: A re-assessment of classical methods , 2006 .

[12]  A. Sharif,et al.  Scaling and organization of electroencephalographic background activity and alpha rhythm in healthy young adults , 2006, Biological Cybernetics.

[13]  Francesco Rundo,et al.  Regional scalp EEG slow-wave synchronization during sleep cyclic alternating pattern A1 subtypes , 2006, Neuroscience Letters.

[14]  C. Bédard,et al.  Does the 1/f frequency scaling of brain signals reflect self-organized critical states? , 2006, Physical review letters.

[15]  Peter Achermann,et al.  Functional EEG topography in sleep and waking: State-dependent and state-independent features , 2006, NeuroImage.

[16]  Alexei Sourin,et al.  Human electroencephalograms seen as fractal time series: Mathematical analysis and visualization , 2006, Comput. Biol. Medicine.

[17]  T. Brismar,et al.  Long-range temporal correlations in electroencephalographic oscillations: Relation to topography, frequency band, age and gender , 2005, Neuroscience.

[18]  C. Stam,et al.  Nonlinear dynamical analysis of EEG and MEG: Review of an emerging field , 2005, Clinical Neurophysiology.

[19]  U. Rajendra Acharya,et al.  Non-linear analysis of EEG signals at various sleep stages , 2005, Comput. Methods Programs Biomed..

[20]  Péter Halász,et al.  K-complex, a reactive EEG graphoelement of NREM sleep: an old chap in a new garment. , 2005, Sleep medicine reviews.

[21]  V. Vyazovskiy,et al.  Regional differences in NREM sleep slow‐wave activity in mice with congenital callosal dysgenesis , 2005, Journal of sleep research.

[22]  Holger Kantz,et al.  Nonlinear Time Series Analysis , 2005 .

[23]  M. Carskadon,et al.  Regional differences of the sleep electroencephalogram in adolescents , 2005, Journal of sleep research.

[24]  Fabrizio Vecchio,et al.  An electroencephalographic fingerprint of human sleep , 2005, NeuroImage.

[25]  Aleksandar Kalauzi,et al.  Fractal analysis of rat brain activity after injury , 2005, Medical and Biological Engineering and Computing.

[26]  I Tobler,et al.  Interhemispheric coherence of the sleep electroencephalogram in mice with congenital callosal dysgenesis , 2004, Neuroscience.

[27]  In-Young Kim,et al.  Nonlinear-analysis of human sleep EEG using detrended fluctuation analysis. , 2004, Medical engineering & physics.

[28]  Sean L. Hill,et al.  The Sleep Slow Oscillation as a Traveling Wave , 2004, The Journal of Neuroscience.

[29]  T. Brismar,et al.  Long-range temporal correlations in alpha and beta oscillations: effect of arousal level and test–retest reliability , 2004, Clinical Neurophysiology.

[30]  H. Stanley,et al.  Effect of nonlinear filters on detrended fluctuation analysis. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[31]  K. Linkenkaer-Hansen,et al.  Stimulus‐induced change in long‐range temporal correlations and scaling behaviour of sensorimotor oscillations , 2004, The European journal of neuroscience.

[32]  John M. Beggs,et al.  Neuronal Avalanches in Neocortical Circuits , 2003, The Journal of Neuroscience.

[33]  Dorothee P. Auer,et al.  Is the brain cortex a fractal? , 2003, NeuroImage.

[34]  I. L'Heureux,et al.  Are Hurst exponents estimated from short or irregular time series meaningful , 2003 .

[35]  M. Ferrara,et al.  Sleep spindles: an overview. , 2003, Sleep medicine reviews.

[36]  Paula Couto,et al.  Assessing the accuracy of spatial simulation models , 2003 .

[37]  W. Freeman,et al.  Spatial spectra of scalp EEG and EMG from awake humans , 2003, Clinical Neurophysiology.

[38]  Rudolph C. Hwa,et al.  Power-law scaling in human EEG: relation to Fourier power spectrum , 2003, Neurocomputing.

[39]  D. McCormick,et al.  Turning on and off recurrent balanced cortical activity , 2003, Nature.

[40]  P. F. Meier,et al.  Dimensional complexity and spectral properties of the human sleep EEG , 2003, Clinical Neurophysiology.

[41]  Yuji Wada,et al.  Interhemispheric differences of the correlation dimension in a human sleep electroencephalogram , 2002, Psychiatry and clinical neurosciences.

[42]  P. Robinson,et al.  Dynamics of large-scale brain activity in normal arousal states and epileptic seizures. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[43]  M. Bertini,et al.  Cortical EEG topography of REM onset: the posterior dominance of middle and high frequencies , 2002, Clinical Neurophysiology.

[44]  A. Eke,et al.  Fractal characterization of complexity in temporal physiological signals , 2002, Physiological measurement.

[45]  Harvard Medical School,et al.  Effect of nonstationarities on detrended fluctuation analysis. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[46]  Peter Achermann,et al.  Individual ‘Fingerprints’ in Human Sleep EEG Topography , 2001, Neuropsychopharmacology.

[47]  M. Ferrara,et al.  Antero-posterior EEG changes during the wakefulness–sleep transition , 2001, Clinical Neurophysiology.

[48]  Jean-Christophe Wallet,et al.  Scaling behavior in β-wave amplitude modulation and its relationship to alertness , 2001, Biological Cybernetics.

[49]  P. Achermann,et al.  Functional topography of the human nonREM sleep electroencephalogram , 2001, The European journal of neuroscience.

[50]  P. Larsen,et al.  Long-term correlations in the spike trains of medullary sympathetic neurons. , 2001, Journal of neurophysiology.

[51]  Harvard Medical School,et al.  Effect of trends on detrended fluctuation analysis. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[52]  K. Linkenkaer-Hansen,et al.  Long-Range Temporal Correlations and Scaling Behavior in Human Brain Oscillations , 2001, The Journal of Neuroscience.

[53]  P. Robinson,et al.  Prediction of electroencephalographic spectra from neurophysiology. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[54]  Odile Benoit,et al.  Slow (0.7–2 Hz) and fast (2–4 Hz) delta components are differently correlated to theta, alpha and beta frequency bands during NREM sleep , 2000, Clinical Neurophysiology.

[55]  N. Kajimura,et al.  Asymmetric interhemispheric delta waves during all-night sleep in humans , 2000, Clinical Neurophysiology.

[56]  Rangarajan,et al.  Integrated approach to the assessment of long range correlation in time series data , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[57]  W. Freeman,et al.  Spatial spectral analysis of human electrocorticograms including the alpha and gamma bands , 2000, Journal of Neuroscience Methods.

[58]  D. Percival,et al.  Physiological time series: distinguishing fractal noises from motions , 2000, Pflügers Archiv.

[59]  F. L. D. Silva,et al.  Dynamics of the human alpha rhythm: evidence for non-linearity? , 1999, Clinical Neurophysiology.

[60]  T. Schreiber,et al.  Surrogate time series , 1999, chao-dyn/9909037.

[61]  Peter Achermann,et al.  Frequency and state specific hemispheric asymmetries in the human sleep EEG , 1999, Neuroscience Letters.

[62]  Ernesto Pereda,et al.  Nonlinear, fractal, and spectral analysis of the EEG of lizard, Gallotia galloti. , 1999, American journal of physiology. Regulatory, integrative and comparative physiology.

[63]  L. Liebovitch,et al.  Fractal ion-channel behavior generates fractal firing patterns in neuronal models. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[64]  Julián J. González,et al.  Interhemispheric differences in awake and sleep human EEG: a comparison between non-linear and spectral measures , 1999, Neuroscience Letters.

[65]  Russell G. Congalton,et al.  Assessing the accuracy of remotely sensed data : principles and practices , 1998 .

[66]  P. Achermann,et al.  Coherence analysis of the human sleep electroencephalogram , 1998, Neuroscience.

[67]  P. Rappelsberger,et al.  EEG cohererence and reference signals: experimental results and mathematical explanations , 1998, Medical and Biological Engineering and Computing.

[68]  Julián J. González,et al.  Non-linear behaviour of human EEG: fractal exponent versus correlation dimension in awake and sleep stages , 1998, Neuroscience Letters.

[69]  W. Newsome,et al.  The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding , 1998, The Journal of Neuroscience.

[70]  Per Bak,et al.  How Nature Works: The Science of Self‐Organized Criticality , 1997 .

[71]  P. Achermann,et al.  Spindle frequency activity in the sleep EEG: individual differences and topographic distribution. , 1997, Electroencephalography and clinical neurophysiology.

[72]  M. Ould Hénoune,et al.  Episodes of low-dimensional self-organized dynamics from electroencephalographic α-signals , 1997, Biological Cybernetics.

[73]  P. Anderer,et al.  Topographic distribution of sleep spindles in young healthy subjects , 1997, Journal of sleep research.

[74]  P. Achermann,et al.  Low-frequency (<1Hz) oscillations in the human sleep electroencephalogram , 1997, Neuroscience.

[75]  P. Bak,et al.  Learning from mistakes , 1997, Neuroscience.

[76]  P. Achermann,et al.  Fronto‐occipital EEG power gradients in human sleep , 1997, Journal of sleep research.

[77]  M. Kaminski,et al.  Topographic analysis of coherence and propagation of EEG activity during sleep and wakefulness. , 1997, Electroencephalography and clinical neurophysiology.

[78]  A A Borbély,et al.  Brain topography of the human sleep EEG: antero‐posterior shifts of spectral power , 1996, Neuroreport.

[79]  Milan Palus,et al.  Nonlinearity in normal human EEG: cycles, temporal asymmetry, nonstationarity and randomness, not chaos , 1996, Biological Cybernetics.

[80]  J. Röschke,et al.  Discrimination of sleep stages: a comparison between spectral and nonlinear EEG measures. , 1996, Electroencephalography and clinical neurophysiology.

[81]  A. Pearlman,et al.  Use of EEG spectral edge as index of equipotency in a comparison of propofol and isoflurane for maintenance of general anaesthesia. , 1994, European journal of anaesthesiology.

[82]  Bruce J. West,et al.  Fractal physiology , 1994, IEEE Engineering in Medicine and Biology Magazine.

[83]  G. Gurman Assessment of depth of general anesthesia , 1994, International journal of clinical monitoring and computing.

[84]  C. Peng,et al.  Mosaic organization of DNA nucleotides. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[85]  Albano,et al.  Filtered noise can mimic low-dimensional chaotic attractors. , 1993, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[86]  T. Higuchi Relationship between the fractal dimension and the power law index for a time series: a numerical investigation , 1990 .

[87]  R. Bedford,et al.  A Comparison of EEG Determinants of Near‐Awakening from Isoflurane and Fentanyl Anesthesia: Spectral Edge, Median Power Frequency, and δ Ratio , 1989, Anesthesia and analgesia.

[88]  Tang,et al.  Self-organized criticality. , 1988, Physical review. A, General physics.

[89]  Kurt Wiesenfeld,et al.  Self-organized criticality: An explanation of the 1/f noise. , 1987, Physical review letters.

[90]  Y. Hishikawa,et al.  Potential distribution of vertex sharp wave and saw-toothed wave on the scalp. , 1984, Electroencephalography and clinical neurophysiology.

[91]  Benoit B. Mandelbrot,et al.  Fractal Geometry of Nature , 1984 .

[92]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[93]  Gerhard Klösch,et al.  Scalp Topography of the Spontaneous K-Complex and of Delta-Waves in Human Sleep , 2004, Brain Topography.

[94]  D. Percival,et al.  Physiological time series , 2000 .

[95]  H. Stanley,et al.  Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. , 1995, Chaos.

[96]  A. Barabasi,et al.  Fractal concepts in surface growth , 1995 .

[97]  Jan Beran,et al.  Statistics for long-memory processes , 1994 .

[98]  H. E. Hurst,et al.  Long-Term Storage Capacity of Reservoirs , 1951 .